Skip to main content
PLOS One logoLink to PLOS One
. 2022 Aug 25;17(8):e0252695. doi: 10.1371/journal.pone.0252695

Larval dispersal of Brachyura in one of the largest estuarine/marine systems in the world

Francielly Alcântara de Lima 1,*, Davi Butturi-Gomes 2,¤a, Marcela Helena das Neves Pantoja 1, Jussara Moretto Martinelli-Lemos 1,¤b
Editor: Atsushi Fujimura3
PMCID: PMC9410557  PMID: 36007076

Abstract

The Amazon Continental Shelf (ACS) is a complex habitat that receives a large annual freshwater discharge into the ocean, producing a superficial plume and carrying with it large amounts of nutrients to the continental shelf along thousands of kilometers while sustaining high biodiversity in the estuary–ocean continuum. For the first time, this study monitored six sites in a wide transect with approximately 240 km radius on the ACS every 2–4 months. The objectives were (1) to analyze the composition of larval Brachyuran crabs and (2) to predict the importance of environmental parameters (temperature, salinity and chlorophyll-a) in structuring their abundance. A total of 17,759 larvae identified were distributed in 8 families and 24 taxa. The water salinity was the best predictor of larval distribution. The statistical models used indicated that Panopeidae and Portunidae larvae are more frequent and more likely to occur in shallow water layers, while Calappidae occur in deeper layers, and Grapsidae, Ocypodidae, Sesarmidae, Pinnotheridae and Leucosiidae occur similarly in both strata. The larval dispersal extent varies among families and throughout the year while the groups are distributed in different salinities along the platform. The probability of occurrence of Portunidae is higher in ocean water (≥ 33.5); Grapsidae, Panopeidae, and Pinnotheridae is higher in intermediate and ocean salinity waters (25.5 to 33.5); Ocypodidae, Sesarmidae and Calappidae is higher in estuarine and intermediate salinity waters (5 to 25.5), whereas Leucosiidae, euryhaline, occur in all salinities (5 to 33.5). Furthermore, the Amazon River seasonal flow and plume movement throughout the year not only regulate the larval distribution and dispersion of estuarine species but are also fundamental for the ACS species, providing the necessary nutrient input for larval development in the region.

Introduction

The various aspects of the Brachyura larval cycle, such as morphology, tolerance to environmental factors, and geographic distribution have been studied from the 1960s to the present day [13]. The larval dispersal strategies (retention and export) of estuarine crab species are known to be strongly correlated with vertical migration in the water column [4, 5] since the speed and direction of horizontal currents vary with depth [6, 7]. The changing vertical position of larvae, either by daily or ontogenetic migration, allows using the stratified currents for displacement in different distances and directions [8], the so-called Selective Tidal Stream Transport (STST) [9, 10].

Dispersal strategies have been identified especially from laboratory experiments used to assess larva tolerance to varying abiotic factors and based on these results suggest the adopted migratory behavior. This type of study has already been carried out for crabs of the families Ocypodidae [11], Panopeidae [12], Varunidae [13], among several others. However, obtaining a successful experiment simulating environmental conditions and guaranteeing complete larval development, especially counting on obtaining ovigerous females whose eggs are in hatching conditions is not an easy task, which certainly contributes to the lack of data for most species. On the other hand, investigating larval distribution in a natural environment (estuary and continental shelf) and providing valuable information on the species life cycle and migratory behavior, also presents several difficulties, especially in countries where research investment is low, justifying the low number of publications on this topic compared to studies developed with the adult population in the same environments [1420].

This scenario is aggravated in the vast and complex Amazon region, which harbours one of the largest aquatic diversities on the planet so that a significant portion of species is still unidentified and has unknown distribution limits [2123], except for some relatively well documented commercial fish groups [2426] and, recently, zooplankton [18], shrimps [27] and thalassinoids [28]. In estuarine and coastal Amazonian regions, data on the distribution of Brachyura larvae and their regulatory factors are extremely limited [29] and practically nonexistent for the extended continental shelf (≈ 240 km from the coast) [30], one of the widest in the world. This gap can be explained, mainly, by the high financial cost of sampling and strong currents, which hinder access to the area and limit the knowledge on the Brachyura fauna life history and geographical distribution.

This megadiverse and conspicuous environment of the Amazon Continental Shelf (ACS) [26] drains an average discharge of 5.7 x 1012 m3/year from the Amazonas/Araguaia/Tocantins hydrographic system [31]. This freshwater mass from the continent forms a surface plume on the continental shelf, whose trajectory changes throughout the year due to the interaction of different factors, such as the Amazon River discharge, North Brazil Currents (NBC), North Equatorial Countercurrent (NECC) and Guyana Current (GC), the atmospheric Intertropical Convergence Zone (ITCZ), as well as winds and tides [32, 33]. In addition to the enormous water discharge, a large supply of organic matter and sediment, approximately 900 to 1150 x 106 ton/year [34, 35], greatly affects the planktonic dynamics and biomass of the adjacent coastal and Atlantic regions [36, 37], making the Amazon estuary unique among estuaries worldwide [38].

To date, the occurrence of 194 species of adult Brachyura has been recorded in the ACS, of which only 74 have some larval stage described [39] while 34 species in their benthic phase are constantly captured as accompanying fauna by the industrial fishing fleet with emphasis to the pink shrimp Farfantepenaeus subtilis (Pérez-Farfante, 1967) [40]. In this study, the larval period of Brachyura was evaluated regarding (1) parameters of larval composition/distribution and (2) how these relate to environmental profiles. The first parameters were analyzed by the larval dispersal extent related to the estuary/plume, and by the frequency of occurrence (FO) in the plume categories. The latter was predicted by the probability of occurrence (PO) and abundance for the temperature, salinity, and chlorophyll-a profiles in the ACS with a multimodel approach.

Our objective is to improve the knowledge on biodiversity of this important component of the food web, as well as to characterize the group configuration in the plankton of the continental shelf, revealing possible larval dispersal strategies, distribution, and life cycle in the largest estuarine-marine region of the world. It was expected that all larval developmental stages of each species should be distributed on their parental populations over the ACS.

Material and methods

Study area

The investigation and the field studies did not involve endangered or protected species. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. The study was conducted on the Amazon Continental Shelf (ACS), specifically in the area affected by the plume of the Amazon and Tocantins/Araguaia Basins. We sampled in six different locations along the coastal area of Marajó Island to near the slope, from 23 to 233 km away from the coast (Fig 1), and ranging from 2–4 months from July 2013 to January 2015. The Amazon River discharge to the ACS has strong seasonality, with approximately 220,000 and 100,000 m3 s-1 maximum and minimum flows in May and November, respectively [41, 42]. Additionally, the Amazon plume that remains close to the continental margin in the winter in the Northern Hemisphere (January to March / April), begins to spread to the north during the peak discharge of the Amazon River in the spring (May). In the summer (June to July), the NBC retroflection takes the plume to the east and, in the fall (September), 70% of the plume water is exported to the east via this route [33, 43].

Fig 1. The Amazon continental shelf, northern Brazil, and the six sampling sites surveyed (23 km, 53 km, 83 km, 158 km, 198 km, and 233 km offshore, from the NE coast of Marajó Island).

Fig 1

Reef shapefile [44]. Reprinted from [Moura et al., 2016] under a CC BY license, with permission from [Nils Edwin Asp Neto], original copyright [2016].

Data collection

Two sets of standardized samples were collected during daytime and syzygy from 6 sampling stations differing in their distance from the coast and two different sampling depths (horizontal, oblique), but also different seasons (7 expeditions in 2 years). Two zooplankton hauls were conducted: one horizontal subsurface at 0.5 m from the surface and another oblique (’V’-shaped, covering up to 75% of the local depth, approximately 10, 19, 34, 39, 53 and 80m depths off the coast to the slope). Horizontal and oblique hauls in each site at different coastal distances (23, 53, 83, 158, 198, and 233 km), were chosen because they represent regions under the greatest influence of the Amazon estuarine plume (23–83 km from the coast) and also to contemplate the large extension of the Continental Shelf (approximately 300 km) with a distance of 158–233 km with a predominance of ocean waters. Both hauls used a plankton trawl consisting of a 2 m long conical net with 200 μm mesh, 60 cm opening diameter, and a coupled flow meter. The hauls lasted five minutes at a speed of approximately 2 knots (≈ 4 km / h). Before plankton samples, the environmental variables water temperature (°C), salinity, and chlorophyll-a (μg / L) contents were obtained using a CTD probe (Hydrolab DS 5) that was used to get samples every 0.5 meters.

The obtained 84 samples (7 expeditions x 6 sites x 2 hauling methods), with an initial volume of 500 mL each, were preserved in formaldehyde buffered with sodium tetraborate, 4% final solution. In the laboratory, the samples were fractionated into 250 mL aliquots with a Folsom-type subsample. All brachyuran larvae in the aliquots were dissected and identified to the lowest taxonomic level possible [1, 4561] by observing the morphological parameters, such as the arrangement and number of spines and setae in the antennae, antennules, maxilliped, maxilla, abdomen, and telson, under an Axioscope Zeiss A1 optical microscope (Carl Zeiss, Oberkochen, Germany). The recent taxonomy was checked in the World Register of Marine Species [http://www.marinespecies.org]. After identification, the non-dissected larvae were deposited and registered in the Carcinological Collection of the Museu Paraense Emílio Goeldi (MPEG).

Data analyses

Density was estimated (larvae m–3) by dividing brachyuran larval abundance by the volume filtered through the plankton net. The volume was given by the number of rotations of the Hydrobios flowmeter attached to the net aperture, based on the difference between the initial and final numbers observed in each trawl, and calculated as V = A × R × C, where A = net aperture area (A = π.r2), R = number of flowmeter rotations during the haul (Df–Di, final and initial numbers, respectively), and C = measurement factor (m rotations–1 = 0.3) determined after device calibration.

The frequency of larval occurrence (FO %) was given for each species as FO = a × 100/A, where a = number of samples containing the species, and A = the total number of samples. The results were categorized as follows: very frequent (FO ≥ 70%), frequent (30 ≤ FO < 70%), infrequent (10 < FO < 30%), and sporadic (FO ≤ 10%) [62].

The expected abundance of each species group (either family or genus, depending on the lowest taxonomic level identified) was predicted by an intensive multimodel approach [63]. We fit several different predictors to each dataset, corresponding to each group abundance data. Given the presence of many zeros in our datasets–some of which might simply be structural zeros–we conditionally predicted the expected abundance in the predicted probability of occurrence of each species group using the presence-absence data. The details of each step of the data analysis are given below.

To the presence-absence data, we fit binomial generalized linear models with logistic link-function [64] using different predictors. We computed the predictors by taking the powerset (excluding, of course, the empty set; please check [65] for clarifications on this issue) of the available covariables (plankton net depth, temperature, chlorophyll-a, distance from the estuary, salinity, and their squared values) and used each element of the powerset to fit the models, which yields 511 different models. For each model, we computed the Akaike weights:

ωj=exp{Δj/2}i=1Mexp{Δi/2}, (1)

where ωj is the Akaike weight for the j-th model and Δj=AICjminiM{AICi} is the scaled AIC for the j-model in a set of M models. The value of M is the difference between the number of elements in the powerset of covariables (511) and the number of models that achieved convergence; thus, M may have varied greatly between any two species groups. Finally, the probability of occurrence (PO) was predicted based on all models weighted by their corresponding Akaike weights. We used, as a reference scenario for the predictions, the median values of temperature and chlorophyll-a and three different values of salinity (5, 23, and 33.5) for estuary distance varying between 23 and 233 km (respectively, the nearest and the farthest sites).

Given the predicted PO using the presence-absence data, we fit Poisson generalized linear models with log-link function to the observed abundance data using the previous rationale (several models, each one with one element of the powerset of covariables, weighted by the Akaike weights, discarding models that did not converge, computing the predictions on the reference scenario). Since the observed abundances largely depend on the water volume collected in the sample, we set the volume as an offset in all models and used the median for the predictions.

The final prediction for the expected abundance of each group is given by the product between its predicted abundance and the PO in the reference scenario. It is noteworthy that our multimodel and information-theoretical approach does not allow (and it would be meaningless) to report p-values of any kind [63, 68], thus we used the total weight of each variable across all plausible models, varying from 0 (never important) to 1 (always important), as a measure of influence on the predictions. For clarity, we considered a model to be plausible if its Δj < 2, which, within the information-theoretical context, means that there is strong empirical evidence that the model is a good approximation to reality (low loss of information) compared to the pool of all models under consideration (see [63, 6668], for instance).

Results

Environmental variables

The water temperature range in the ACS was 7°C (23 to 30°C), with the highest value recorded in January (beginning of the more intense rain period) and the lowest in July (beginning of the less rainy period). The lowest temperatures were recorded at great depths, from 200 km away from the continent. However, a temperature of about 28°C was predominant in most of the shelf extension. The water salinity varied widely (range of 36), with a minimum of 2 (May, rainy season) and a maximum of 38 (January), while increasing gradually away from the coast. The chlorophyll-a content ranged from 0.3 to 85.1 μg/L-1, in January, decreasing as the coast-ocean distance increased (for detailed environmental variables in this region, see [27]). The Amazon River outflow was higher (291,900 m3.s-1) in May and lower (≈110,000 m3.s-1) in October 2013–2014, with a water volume variation similar to the historical average from 1985 to 2015 (Fig 2, S1 Table).

Fig 2. Historical outflow variation of the Amazon River (Óbidos station, Pará) from 1985 to 2015 provided by the Brazilian national water agency (ANA) (http://www.snirh.gov.br/hidroweb/).

Fig 2

Black circles indicate field sampling.

Larval species/family composition

A total of 17,759 identified larvae were distributed in eight families and 24 taxa (Table 1).

Table 1. Larval composition and frequency of occurrence of Brachyura on the Amazon Continental Shelf.

Legend according to [69] that characterize the Amazon River plume depending on salinity: E = estuarine plume (0 < Salinity ≤ 20), IP = intermediate plume (20 < Salinity ≤ 31), OP = outer plume (31 < Salinity ≤ 36), OO = open ocean (Salinity > 36). The frequency of occurrence increases as follows white ≤ 10%, light gray ≥ 10–30%, dark gray ≥ 30–70%, and black ≥ 70%.

Taxon Stages Month Hauls Plume
E IP OP OO
Calappidae
Calappa sp. ZI–ZIV Oct/14 O      
Grapsidae
Goniopsis cruentata ZI Oct/13 O  
Grapsidae n. id. ZII–ZIV May/14 O  
Pachygrapsus gracilis ZI–ZIII Oct/13 O        
Leucosiidae
Leucosiidae n. id. ZII–ZIV Jul/14 SS    
Persephona spp. ZI–ZIV Oct/13 O    
Ocypodidae
Gelasiminae 1 ZI May/14 SS      
Gelasiminae 2 ZI May/14 SS        
Gelasiminae 3 ZI May/14 SS    
Gelasiminae n. id. ZII–ZVI Jan/14 SS        
Leptuca cumulanta ZI, ZII Oct/13 O  
Megalopa 1 Jan/14 O      
Megalopa 2 Jul/14 SS  
Minuca rapax ZI, ZIII, ZIV May/14 SS    
Uca maracoani ZI, ZIII, ZIV Jul/13 O    
Ucides cordatus ZI Jan/15 SS  
Panopeidae
Hexapanopeus spp. ZI–ZIV Jan/14 SS        
Megalopa Jan/15 SS  
Panopeus lacustris ZI–ZIV, M Oct/13 SS        
Panopeus sp. ZI–ZIV Oct/13 SS      
Pinnotheridae
Austinixa sp. ZI–ZV Jan/14 SS        
Dissodactylus crinitichelis ZI–ZIV Jan/15 SS    
Pinnixa sp. ZI–ZV Jan/14 SS        
Megalopa Jan/15 O  
Portunidae
Achelous spp. ZI–ZVII Jul/13 SS        
Callinectes spp. ZI–ZVIII Jul/13 SS      
Megalopa 1 Jul/14 SS      
Megalopa 2 Jan/14 O  
Portunidae n. id. ZI–ZIII May/14 SS      
Sesarmidae
Armases rubripes ZI–ZIV, M Jan/14 SS        

ZI = zoea I; ZII = zoea II; ZIII = zoea III; ZIV = zoea IV; ZV = zoea V; ZVI = zoea VI; ZVII = zoea VII; ZVIII = zoea VIII; M = megalopae; n. id. = not identified; SS = sub-superficial; O = oblique.

Panopeus lacustris Desbonne in Desbonne and Schramm, 1867 was the most abundant species (67% FO, of which 57% megalopa), followed by Achelous spp. De Hann, 1833 (12%) and Armases rubripes Rathbun, 1897 (9%). Both phases of larval development (zoea and megalopa) of P. lacustris, A. rubripes, Gelasiminae Miers, 1886 and Portunidae Rafinesque, 1815 were found in the ACS. Also, the occasional occurrence of Leptuca cumulanta (Crane, 1943) ZI and ZII stages, and Ucides cordatus (Linnaeus, 1763) and Goniopsis cruentata (Latreille, 1803) ZI were also observed but not included in the mathematical models, whereas the other species larval stages occurred heterogeneously on the ACS (Table 1). Achelous spp., A. rubripes, Calappa sp. Weber,1795, Callinectes spp. Stimpson, 1860, Gelasiminae 2, Pachygrapsus gracilis (de Saussure, 1857), P. lacustris, and Pinnixa sp. White, 1846 larvae occurred over the entire study period. Whereas Hexapanopeus spp. Rathbun, 1898 zoea did not occur in May only and Portunidae n. id. did not occur during the lower outflow in October. Additionally, Minuca rapax (Smith, 1870), Gelasiminae 1, 2 and 3 larval density peaked during the higher river outflow in May (see S1S8 Figs).

Larval dispersal (depth strata, coastal distance, and estuarine plume)

The mathematical model results indicate different patterns of larval dispersal along the continental shelf. Regarding the disposition in the water column, Panopeidae Ortmann, 1863, Pinnotheridae De Haan, 1833, and Portunidae were more abundant and had a higher PO in subsurface waters while A. rubripes and Ocypodidae larval stages were more abundant in the water column. Calappa sp. larvae occurred almost exclusively in the water column, while Grapsidae MacLeay, 1938 and Leucosiidae Samouelle, 1819 abundances were similar in both strata, surface and water column (Figs 35).

Fig 3.

Fig 3

Final expected abundance (product between the expected abundance and the probability of occurrence) of Brachyura larvae (A: Grapsidae; B: Panopeidae; C: Pinnotheridae) according to the distance from the estuary and net depth in different salinities. The shaded regions refer to the weighted 95% confidence interval. All predictions used the observed median values of temperature (28.4°C), chlorophyll-a (7.34 μg / L) and water volume (278.3 m–3).

Fig 5.

Fig 5

Final expected abundance (product between the expected abundance and the probability of occurrence) of Brachyura larvae (G: Calappidae; H: Leucosiidae) according to the distance from the estuary and net depth in different salinities. The shaded regions refer to the weighted 95% confidence interval. All predictions used the observed median values of temperature (28.4°C), chlorophyll-a (7.34 μg / L) and water volume (278.3 m–3).

The occurrence of crabs was heterogeneous, varying according to the distance from the coast and water salinity. Portunidae larvae had a greater abundance and higher PO in waters with 33.5 salinity and furthest from the continent, from 83 km away from the coast (Fig 4D). On the other hand, Ocypodidae (Fig 4E) and A. rubripes (Fig 4F) abundance and PO were higher near the coast, up to 158 km, in estuarine and intermediate plume waters, with 5 and 25.5 salinity, respectively. Grapsidae (Fig 3A), Panopeidae (Fig 3B), and Pinnotheridae (Fig 3C) larval stages were also more abundant in coastal waters, however, with higher PO in waters with 25.5 and 33.5 salinity. Calappa sp. larvae occurred with especially higher density at 158 km (Fig 5G) between 83 and 233 km from the coast, mainly in waters with 5 and 25.5 salinity, while Leucosiidae larval distribution (Fig 5H) was similar throughout the continental shelf therefore, occurring in several salinities.

Fig 4.

Fig 4

Final expected abundance (product between the expected abundance and the probability of occurrence) of Brachyura larvae (D: Portunidae; E: Ocypodidae; F: Sesarmidae) according to the distance from the estuary and net depth in different salinities. The shaded regions refer to the weighted 95% confidence interval. All predictions used the observed median values of temperature (28.4°C), chlorophyll-a (7.34 μg / L) and water volume (278.3 m–3).

During the highest flow period, Pinnixa sp., Grapsidae, Panopeidae and Portunidae larvae were concentrated in the mid and outer continental shelf since the freshwater plume “pushes” the larvae to locations away from the coast. The opposite was observed during the lowest outflow, these larvae concentrated near coastal areas (23 and 53 km from the coast) due to the lower freshwater outflow entering the ACS (Figs 6 and 7, S2 and S3 Tables). Furthermore, few taxa were not affected by the Amazon plume. Leucosiidae had the highest larval density on the middle continental shelf (158 km) while the density of Ocypodidae was also the highest up to 158 km in the highest flow (May) and decreased/reduced in the lowest flow period (October). The A. rubripes larvae occurred particularly in three sites closest to the coast (23, 53, and 83 km) with few variations in the period and among months whereas Calappa sp. larvae occurred 158 km away from the coast, near reef areas, regardless of varying river flow, and D. crinitichelis Moreira, 1901, occurred only between 83 and 158 km away from the coast (S2 Table).

Fig 6. Density of Brachyura larvae on the ACS in May and October 2014.

Fig 6

Grapsidae (A), Panopeidae (B), Pinnotheridae (C), and Portunidae (D). Bold line: plume-ocean ecotone (44). Reprinted from [Moura et al., 2016] under a CC BY license, with permission from [Nils Edwin Asp Neto], original copyright [2016].

Fig 7. Density of Brachyura larvae on the ACS in May and October 2014.

Fig 7

Ocypodidae (E), Sesarmidae (F), Calappidae (G), and Leucosiidae (H). Bold line: plume-ocean ecotone (44). Reprinted from [Moura et al., 2016] under a CC BY license, with permission from [Nils Edwin Asp Neto], original copyright [2016].

Discussion

The results indicate that the larval dispersal of Brachyura along the ACS is structured by the Amazon River plume, whose outflow reaches the highest and lowest volume in May and October, respectively. Larval species that hatch near the coast are subject to the same abiotic factors as light, temperature, pressure, and salinity [70], and biotic factors such as predators and food availability [71, 72]. However, each taxon can adjust its vertical position up or down the water column according to the changing exogenous stimuli [10, 73, 74], affecting the direction and the distance that the larvae are horizontally transported [19, 75]. These different responses are probably related to characteristics intrinsic to each species or family, such as adult habitat [76], osmoregulation [77], presence of predators [78], among other factors.

In the export process, brachyuran larvae are carried along the plume edge towards the ACS. In the maximum flow conditions, the Amazon plume can extend up to 300 km from the coast [79] and up to 10 meters deep [80], with salinity below 35 [81].

The pattern observed in other world regions suggests that temperature is one of the most important seasonal factors controlling the biological processes within plankton populations and communities [82, 83]. In this study, however, temperature and chlorophyll-a were not important dispersal predictors so the different larval strategies seem to be mainly regulated by the strong influence of the Amazon River outflow on the water salinity and the Amazon plume expansion and retraction throughout the year (S4 Table). Increases in meroplankton abundance are likely to be ascribed to high nutrient input and primary production, e.g. chlorophyll-a between 4 and 5 (mg/m3) [15] and the fact that chlorophyll-a is widely available in PCA, this factor does not explain the variation in larval abundance. Although plume flow was not closely followed in this study, its influence on the salinity is notorious and, consequently, on the larval community of brachyurans on the continental shelf, diverging from other coastal regions due to the peculiar characteristic and strength of this hydrological system. Other factors frequently related to the movement of planktonic larvae, such as acting tides, winds, and surface currents [19, 84] were not addressed in this work, but these important parameters should be investigated in future research. In this context, the larval dispersal of each family and its distribution in the water column on the ACS is detailed below.

Grapsidae

The Grapsidae zoea (P. gracilis and Grapsidae n. id.) is distributed similarly in the water column and surface layer, with higher expected abundance and PO in waters with salinity between 25.5 and 33.5, estimated to be more coastal. However, the larvae moved away from the coastal region, occurring only in 198 and 233 km during the highest discharge of the Amazon River (May) but moved closer to the continent, where water salinity is higher compared to the plume, during the lowest flow period.

Our results confirm the larval export proposed for P. gracilis [85], however, PO is higher in more coastal areas, a behavior also adopted by others Pachygrapsus Randall, 1840 [5, 86, 87], Hemigrapsus Dana, 1851 [88], and Geograpsus Stimpson, 1858 [89]. Similar to P. gracilis, larvae of the Pachygrapsus and Hemigrapsus genera also go through all the larval developmental stages in the mid-continental shelf [90, 91]. Some zoeas like P. crassipes zoeae are distributed in all water column strata, surface, and bottom [70], whereas others such as Hemigrapsus zoeae have negative geotaxis and swim towards the surface [75], spending the entire larval cycle about 15m deep [92], revealing that the vertical arrangement varies among different genera and species of grapsids in the water column.

The P. gracilis zoea I, II and III were the most abundant larvae of the family in the ACS, and occurred every month, confirming the continuous reproduction, similar to P. transversus [93, 94]. However, larval peaks for the species were observed on the ACS and estuary in October and May, respectively [29, 85]. P. gracilis zoeae seem to have a high tolerance to varying salinity since three of at least five zoea stages that make up the genus [95, 96] are found over the entire ACS extension (23 to 233 km) and in different salinity strata. No megalopa of this species was found in the ACS, despite the information that they develop on the continental shelf [97] and immigration is correlated with high salinity and current speed, typical of estuary flood tides. Future work should clarify such gaps regarding other grapsids in ACS.

Panopeidae

Panopeidae larvae are distributed mainly in the surface layer of the water column, both zoea and megalopa had a higher predicted abundance and PO associated with intermediate and oceanic salinities (25.5 and 33.5), as well as lower and higher density in May and October, respectively. Because Panopeus H. Milne Edwards, 1834 larvae occur in the full extent of the ACS (≈ 240 km), they seem to have greater tolerance to ocean waters compared to Hexapanopeus spp. [54]. The latter also performs larval export, but dispersal extends up to 158 km from the coast, with all its zoea stages (I to IV) developing on the mid-continental shelf.

Pinnotheridae

The predicted abundance and PO for Pinnotheridae larvae were slightly higher in surface waters and with intermediate and oceanic salinity (25.5, 33.5) while all zoeal stages were present in the ACS. Further, Pinnixa and Austinixa Heard and R.B. Manning, 1997 larval dispersal reached half the extension of the continental shelf (158 km), and were present throughout the year, with a density peak in January, consistent with the reproductive habits already reported for other species [98101].

Pinnotheridae larval export has already been suggested based on the high abundance of zoea I larvae in the superficial layer during the estuary low tides, in addition to a positive correlation between larval density and salinity [102], which is in line with our results. In California (USA) estuaries, this migration of zoea I to the continental shelf was observed for Pinnixa faba (Dana, 1851), P. tubicola Holmes,1895, Pinnotheres pugettensis Holmes, 1900, and Scleroplax granulata Rathbun, 1894, where later stages zoea developed at a depth of 17 m while megalopae, between 49 m and 6 km from the coast [92]. In the Chesapeake Bay, all larval stages of Pinnixa chaetopterana Stimpson, 1860, Pinnixa sayana Stimpson, 1860, Tumidotheres maculatus (Say, 1818) and Zaops ostreum (Say, 1817) were always found close to the bottom, indicating larval retention [2, 103]. Likewise, larval retention for Pinnixa gracilipes was also suggested in an Amazonian estuary due to the presence of ZI, ZII and ZIV in the lower estuary [29].

In our study, only the Pinnixa sp. distribution was influenced by the Amazon River outflow since larvae occurred 83 km and 23 km from the coast during high and low discharge, respectively. The Austinixa sp. distribution did not vary much while D. crinitichelis zoeae were found in October only, 83 and 158 km from the coast, places that overlap the coral reefs of the ACS, potential habitats of several Echinoidea, host organisms of the adult crab (mainly the Orders Clypeasteroida and Spatangoidea) [56].

In this context, we believe that the different patterns may be related to the host habitat, since Pinnotheridae consists basically of symbiotic crabs or parasites of benthic invertebrates, which inhabit thalassinoids burrows [98], Polychaeta tubes [99], bivalves [104], echinoderms, among others. And because the symbiotic relationships can vary from quite host-specific to very non-specific [105], there will likely be species adaptations to the different host environments, which should be further investigated in more detail.

Portunidae

In the ACS, we found all larval stages of Achelous spp. and Callinectes spp., as well as Portunidae larvae distributed in the superficial layer, with greater abundance and PO from 83 km from the coast and in high salinity (33.5), where the later developmental stages are highly abundant. Also, larvae of this family are found more distant (83 to 233 km) and closer (23 to 233 km) to the coast during the high and low outflow of the Amazon River, respectively, indicating their affinity with ocean waters while confirming this group previous work on the larval stages.

We assume that export strategy [106], is probably followed by the Callinectes larvae that leave the Amazon estuaries close to the plume toward the continental shelf. Whereas marine species larvae that inhabit the ACS, such as Achelous and Cronius, for example, normally develop in the ocean salinity range [3], from hatching to settling in the benthic or free-swimming habitat of adults. In both cases, inhabiting high salinity waters is essential for the successful larval development of these species [107, 108].

The larvae identified here as Achelous spp. are believed to correspond mostly to Achelous rufiremus (Holthuis, 1959), which is the most abundant benthic macroinvertebrate species at almost four degrees of latitude in the ACS and is the most abundant in the bycatch pink shrimp fishing [40, 109]. However, the description of the larval morphology is not available to confirm this hypothesis. This problem can be solved in the future by using DNA barcoding analysis to identify larvae originating from the natural environment.

Ocypodidae

In the ACS, all Ocypodidae larval stages were present, with zoea and megalopa concentrated up to 158 km and 83 km away from the continent, respectively. The highest predicted abundance and PO were recorded in estuarine and intermediate salinity waters (5 and 25.5), with a greater dispersal extent (up to 233 km) and reproductive peak during the Amazon River high outflow (May), as observed in the Amazon estuary [29].

This family export strategy to the adjacent continental shelf is already known [4, 110112]. Except for L. cumulanta, which retains all larval stages in the estuary [29], so that ZI and ZII larvae may have been accidentally dragged by currents to the continental shelf, thus justifying the single occurrence 23 km from the coast.

The Ocypodidae larval density was higher in deep compared to superficial waters. Similar to observations for Minuca pugnax (Smith, 1870) larvae [11] and other ocypodids, where ZI and the later zoea stages occur close to the surface and deeper in the water column, respectively, suggesting an ontogenetic alteration in the vertical position [103], allowing these larvae to take advantage of the gravitational circulation for eventual transport of the megalopa back to the estuary [16], and to settle juveniles and adults in the same habitats [113, 114].

The U. cordatus species is a peculiar case because has an inconspicuous cycle, which breeds seasonally in the Amazon, specifically in the rainy season full or new moon [115, 116]. Our sample covered two reproductive cycles of this crab, despite that, only three ZI specimens were found at the estuary mouth (23 km) in January. This low abundance probably results from the species high synchronization associated with the action of currents, since U. cordatus always spawns at ebb tide in the night, in new or full moons [117], and its synchronization is so strong that one day later upon release, ZI larvae are no longer found in the estuary [116]. Thus, once on the continental shelf, the larval transport may have been enhanced since, in January, the land winds blow the Amazon plume against the continental margin, which follows quickly with the North Brazil Current towards the French Guiana [33, 80], justifying not being captured by our nets.

Therefore, unlike U. cordatus, the possibility of finding Gelasiminae larvae is always greater since its several spawnings throughout the year guarantee a constant larval supply to the continental shelf.

Sesarmidae

This semi-terrestrial crab A. rubripes has continuous reproduction with a peak of ovigerous females in the summer (December, January, and February) [118]. Unlike adults living in oligohaline estuaries, larvae are not as tolerant to low salinity so that full development is only possible in more saline waters, suggesting migration to the continental shelf [119, 120]. Our results confirm larval export, with all larval stages dispersed up to 123 km from the coast, and reproductive peak in January, the high rainfall period in the Amazon region. The rainfall intensity seems to be the parameter regulating A. rubripes reproduction in the equatorial region, as observed for Aratus pisonii (H. Milne Edwards, 1837) [121, 122] and Armases angustipes (Dana, 1852) [123], which can be advantageous to these populations due to increased concentration of nutrients, higher tides—increasing the chance of transport over long distances—and increased seawater productivity, which favors the larval development in plankton [121, 124].

In the ACS, the abundance and PO predicted for A. rubripes zoea and megalopa are higher in deeper water, mainly in estuarine salinity (5), with lower occurrence in intermediate salinity (25.5). These salinity values are consistent with those used in the species cultivation for the larval description (about 19) [60] but differ from the high survival range of zoea (30) for specimens grown in Uruguay [120]. Such disagreement seems to indicate that the saline tolerance varies among larval populations from different locations, adapting to the low salinity resulting from the great discharge of freshwater from the estuaries while the plume seasonality and river flow do not affect their distribution in the plankton in the Amazon region. Besides, the megalopa was observed concentrated up to 83 km away from the coast, seemingly opting for even lower salinity waters compared to the zoea, a pattern previously observed in megalopae of A. pisonii [125] and Armases spp. [126, 127], and also followed by other crab species that re-migrate from the continental shelf to estuaries and rivers.

Calappidae

The zoea of Calappa sp. occurred on the platform throughout the year, indicating continuous reproduction. The high predicted abundance and PO in deeper layers of the water column indicate that zoeae were practically absent from the surface layer. This genus inhabits coral, sand and mud bottoms, and is exclusive to the continental shelf [39]. The larvae were concentrated mainly in the coral reef regions (83 to 158 km from the coast), while adults [40] were distributed over the entire reef system area, estimated between 9,500 and 56,000 km2 [44, 128]. Thus, these environments, fundamental to the development of Calappa, are greatly affected by humans since 1960 due to predatory bottom trawling fishing to capture the pink shrimp, which destroys the reefs and captures the genus as bycatch [40, 109], and the future possibility of oil and gas exploration in the area [128].

Although adults inhabit only the continental shelf, and the genus larval distribution is not affected by the seasonality of the river flow, we find that Calappa zoea seems to have some affinity with plume water, perhaps by the injection of land-derived sediments, nutrients, and organic matter dissolved in the ocean environment [129]. This transition region, where the plume front meets the ocean water is an ecotone (83 to 158 km), intricately linked to the river discharge flow, being one of the ACS areas with the greatest amplitude of primary productivity when the concentration of nutrients and irradiance conditions are optimal, especially in the maximum flow period [43, 81], to support larval marine species, such as Calappa, living close to the transition zone.

In the ACS, four species of the genus are found in the adult population [40]: Calappa nitida Holthuis, 1958, Calappa ocellata Holthuis, 1958, Calappa sulcata Rathbun, 1898, and Calappa gallus (Herbst, 1803). The latter is the only species in the region with the ZI stage described [45], which limited the identification of the specimens.

In our study, we found zoeae with morphological characteristics corresponding to the ZIV, based on this, we believe that the larval development of the Calappa species in the ACS consists of ZI to IV and megalopa, which should be confirmed in later larval descriptions.

Leucosiidae

The expected abundance and PO for Leucosiidae zoea were high in waters with different salinities (5, 25.5, and 33.5) while not differing regarding the vertical arrangement in the water column. This response may be related to the combination of distinct characteristics of the two groups found. The Persephona Leach, 1817 zoeae were distributed more homogeneously along with the ACS and not only close to the coastal region (23 km) whereas Leucosiidae zoeae were present only away from the coast (from 83 km). Despite this, during the largest river flow, the occurrence of both taxa was restricted to 233 km from the coast, and their distribution was more homogeneous in October and January.

Similar to Calappa, this group inhabits the sandy and mud bottoms, and coral reefs on the continental shelf, it occurs almost all year round and is also caught as accompanying fauna in shrimp fisheries [40]. Of the eight Leucosiidae genera inhabiting the ACS, only the larval development of Persephona mediterranea (Herbst, 1794) has been completely described (ZI–ZIV and megalopa) [48] while Persephona lichtensteinii Leach, 1817 and Persephona punctata (Linnaeus, 1758) has been only the ZI described in the literature [49]. Little is known about the developmental stages of the life cycle of these crabs, so this is the first information about the larval ecology of the group in a natural environment.

Amazon specificity

The process of zoeal larvae leaving from estuaries and returning later as megalopa has been extensively studied and reviewed worldwide [9, 10, 106, 130]. The larval supply of Brachyura is continuous, with few exceptions as U. cordatus, because the ACS is located in a tropical Amazon region, where summer lasts throughout the year, unlike temperate environments with well-defined seasons, where the spring and summer are the periods of highest larval density [130133].

Despite this, collecting Brachyura larvae in the plankton of this area is still challenging since, besides the large ocean volume in which the larvae can potentially disperse, they are also distributed in larval patches that remain intact from spawning to the megalopa stage [134, 135]. Given this, knowing the larval distribution of families in the different strata of the water column is relevant for future sampling, where oblique hauling has proven to be effective in capturing Ocypodidae larvae, Armases and Calappa, while surface hauling is ideal for sampling Panopeidae, Pinnotheridae and Portunidae in the ACS.

The Amazon fluvial discharge affects the dispersion of estuarine families while the Amazon plume influences the species of the continental shelf, being responsible for the continuous distribution of nutrients on the ACS [79] and increasing the primary ocean production in the area. Moreover, the area connecting the ACS and the coast consists of mangroves of the Amazon River mouth, considered a Ramsar site, is extremely important for numerous aquatic organisms, whether as habitat, feeding zone, or nursery [136, 137].

Conclusion

Our study provides the first documentation on the larval dispersal of Brachyura on the Amazon Continental Shelf. Additionally, it is the first time that data on expected abundance is predicted for each group and presented as the product between the predicted abundance and the probability of occurrence. Crab larvae showed different distribution and dispersal boundaries, adapting to this particular environment. The group of estuarine species P. gracilis, Gelasiminae, U. maracoani (Latreille, 1802), P. lacustris, Panopeus sp., Austinixa sp., Pinnixa sp., Callinectes spp. and A. rubripes perform larval export to the platform, while Calappa sp., Leucosiidae, Persephona spp., D. crinitichelis and Achelous spp., inhabit the platform as adults, especially close to the rhodolith reef region and complete the larval cycle in this same environment. We confirm that the flow of the Amazon River greatly influences the dynamics of the Amazon Continental Shelf, especially the salinity, which is directly related to the larval distribution of Brachyura in this area. We emphasize that further studies on larval description and DNA barcoding could contribute to understanding the Brachyura larval ecology since to protect and value the region biodiversity, the knowledge on species identity, spatial distribution, and correlations with environmental conditions are essential, as these existing gaps create difficulties for identifying and defining priority areas for effective species conservation in the Amazon region.

Supporting information

S1 Fig. Density of larval stages of Calappa sp., Goniopsis cruentata, and Grapsidae n. id. over the months in ACS.

(TIF)

S2 Fig. Density of larval stages of Pachygrapsus gracilis, Leucosiidae n. id., and Persephona spp. over the months in ACS.

(TIF)

S3 Fig. Density of larval stages of Gelasiminae 1, 2 and 3 over the months in ACS.

(TIF)

S4 Fig. Density of larval stages of Gelasiminae n. id., Leptuca cumulanta, and Minuca rapax over the months in ACS.

(TIF)

S5 Fig. Density of larval stages of Uca maracoani, Ucides cordatus and Hexapanopeus spp. over the months in ACS.

(TIF)

S6 Fig. Density of larval stages of Panopeus lacustris, Panopeus sp., and Austinixa sp. over the months in ACS.

(TIF)

S7 Fig. Density of larval stages of Dissodactylus crinitichelis, Pinnixa sp., and Achelous spp. over the months in ACS.

(TIF)

S8 Fig. Density of larval stages of Callinectes spp., Portunidae n. id., and Armases rubripes over the months in ACS.

(TIF)

S1 Table. Descriptive statistical (minimum, maximum, mean and standard deviation) of environmental parameters (temperature, salinity and chlorophyll-a) in relation to months and distance from the coast on the Amazon Continental Shelf.

(DOCX)

S2 Table. Larval composition, N total and sum of density (larvae m-3, in parenthesis) of Brachyura in each sampling sites on the Amazon Continental Shelf.

“SS” is used as an abbreviation for sub-superficial sample and "O" to oblique hauls.

(DOCX)

S3 Table. Larval composition, N total and sum of density (larvae m-3, in parenthesis) of Brachyura in each expedition on the Amazon Continental Shelf.

“SS” is used as an abbreviation for sub-superficial sample and "O" to oblique hauls.

(DOCX)

S4 Table. Variable influence on the predicted abundances (sum of the corresponding Akaike weights) across plausible models (AIC difference threshold less or equal to 2).

The values vary from 0 (never important) to 1 (always important). PO: Probability of Occurrence; A: Expected Abundance. FND: Fishing Net Depth; S: Salinity; D: Distance from the coast; C: Chlorophyll-a; T: Temperature. The number “two” in their corresponding superscript stands for the variable squared value.

(DOCX)

Acknowledgments

We are grateful to the native fluency English speaker Ruth Kakogiannos for the translation of the original manuscript. We thank the students of the Amazonian Crustacean Ecology Research Group (GPECA) and other colleagues for assisting field sampling and sample processing, especially Prof. Dr. Fernando Abrunhosa for the confirmation of some larval groups. We are also grateful to the editor and reviewers for comments and suggestions, which substantially improved the manuscript.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

We are grateful to the Brazilian National Research Council, CNPq, for supporting this project (INCT AMBIENTES MARINHOS TROPICAIS Edital MCT / CNPq / FNDCT n° 71/2010). We would like to thank the PROPESP/FADESP (PAPQ Program) for financing the translation of the original manuscript by the native fluency English speaker Ruth Kakogiannos. We thank the students of the Amazonian Crustacean Ecology Research Group (GPECA) and other colleagues for assisting field sampling and sample processing, especially Prof. Dr. Fernando Abrunhosa for the confirmation of some larval groups. The funders had no role in study design, data collection and analysis, decision to publish, or prepara-tion of the manuscript.

References

  • 1.Costlow JD, Bookhout CG. Larval development of the crab, Hexapanopeus angustifrons. Chesapeake Sci. 1966; 7: 148. doi: 10.2307/1351162 [DOI] [Google Scholar]
  • 2.Sandifer PA. Distribution and abundance of decapod crustacean larvae in the York River estuary and adjacent lower Chesapeake Bay, Virginia, 1968–1968. Chesapeake Sci. 1973; 14: 235–257. doi: 10.2307/1350753 [DOI] [Google Scholar]
  • 3.Anger K. Salinity as a key parameter in the larval biology of decapods crustaceans. Invertebr Reprod Dev. 2003; 41: 29–45. doi: 10.1080/07924259.2003.9652520 [DOI] [Google Scholar]
  • 4.Epifanio CE. Transport of invertebrate larvae between estuaries and the continental shelf. Am Fish Soc Symp. 1988; 3: 104–114. [Google Scholar]
  • 5.DiBacco C, Sutton D, McConnico L. Vertical migration behavior and horizontal distribution of brachyuran larvae in a low-inflow estuary: implications for bay-ocean exchange. Mar Ecol Prog Ser. 2001; 217: 191–206. doi: 10.3354/meps217191 [DOI] [Google Scholar]
  • 6.Arana M, Sulkin SD. Behavioral basis of depth regulation in the first zoeal stage of the Pacific shore crab, Hemigrapsus oregonensis (Brachyura: Grapsidae). Pac Sci. 1993; 47: 256–262. [Google Scholar]
  • 7.MacTavish AL, Ladah LB, Lavín MF, Filonov A, Tapia FJ, Leichter J. High frequency (hourly) variation in vertical distribution and abundance of meroplanktonic larvae in nearshore waters during strong internal tidal forcing. Cont Shelf Res. 2016; 117: 92–99. doi: 10.1016/j.csr.2016.02.004 [DOI] [Google Scholar]
  • 8.Drake PT, Edwards CA, Morgan SG, Satterthwaite EV. Shoreward swimming boosts modeled nearshore larval supply and pelagic connectivity in a coastal upwelling region. J Mar Syst. 2018; 187: 96–110. doi: 10.1016/j.jmarsys.2018.07.004 [DOI] [Google Scholar]
  • 9.Queiroga H, Blanton J. Interactions between behaviour and physical forcing in the control of horizontal transport of decapod crustacean larvae. Adv Mar Biol. 2004; 47: 107–214. [DOI] [PubMed] [Google Scholar]
  • 10.Epifanio C.E.; Cohen J.H. Behavioral adaptations in larvae of brachyuran crabs: A review. J Exp Mar Biol Ecol. 2016; 482: 85–105. doi: 10.1016/S0065-2881(04)47002-3 [DOI] [Google Scholar]
  • 11.O’Connor NJ, Epifanio CE. The effect of salinity on the dispersal and recruitment of fiddler crab larvae. J Crustac Biol. 1985; 5: 137–145. doi: 10.2307/1548226 [DOI] [Google Scholar]
  • 12.Messerknecht I, Montu M, Anger K. Larval development and salinity tolerance of brazilian Eurytium limosum (Say, 1818) (Brachyura: Xanthidae) reared in the laboratory. Meeresforsch. 1991; 33: 275–296. [Google Scholar]
  • 13.Anger K, Spivak E, Luppi T, Bas C, Ismael D. Larval salinity tolerance of the South American salt-marsh crab, Neohelice (Chasmagnathus) granulata: physiological constraints to estuarine retention, export and reimmigration. Helgol Mar Res. 2008; 62: 93–102. doi: 10.1007/s10152-007-0076-5 [DOI] [Google Scholar]
  • 14.Bartilotti C, Santos A, Castro M, Peliz A, Santos AMP. Decapod larval retention within distributional bands in a coastal upwelling ecosystem. Mar Ecol Prog Ser. 2014; 507: 233–247. doi: 10.3354/meps10817 [DOI] [Google Scholar]
  • 15.Brandão MC, Garcia CAE, Freire AS. Meroplankton community structure across oceanographic fronts along the South Brazil Shelf. J Mar Syst. 2020; 208: 103361. doi: 10.1016/j.jmarsys.2020.103361 [DOI] [Google Scholar]
  • 16.Dittel AI, Epifanio CE, Lizano O. Flux of crab larvae in a mangrove creek in the Gulf of Nicoya, Costa Rica. Estuar Coast Shelf Sci. 1991; 32: 129–140. doi: 10.1016/0272-7714(91)90010-9 [DOI] [Google Scholar]
  • 17.DeVries MC, Tankersley RA, Forward RB Jr, Kirby-Smith WW, Luettich RA Jr. Abundance of estuarine crab larvae is associated with tidal hydrological variables. Mar Biol. 1994; 118: 403–413. doi: 10.1007/BF00350297 [DOI] [Google Scholar]
  • 18.Neumann-Leitão S, Melo PAMC, Schwamborn R, Diaz XFG, Figueiredo LGP, Silva AP, Campelo RPS, Melo Júnior M, Melo NFAC, Costa AESF, Araújo M, Veleda DRA, Moura RL, Thompson F. Zooplankton From a reef system under the influence of the Amazon River plume. Front Microbiol. 2018; 9, 355. doi: 10.3389/fmicb.2018.00355 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Morgan SG, Fisher JL, McAfee ST, Largier JL, Miller SH, Sheridan MM, Neigel JE. Transport of crustacean larvae between a low-inflow estuary and coastal waters. Estuaries Coast. 2014; 37: 1269–1283. doi: 10.1007/s12237-014-9772-y [DOI] [Google Scholar]
  • 20.Santos A, Santos AMP, Conway DVP, Bartilotti C, Lourenço P, Queiroga H. Diel vertical migration of decapod larvae in the Portuguese coastal upwelling ecosystem: implications for offshore transport. Mar Ecol Prog Ser. 2008; 359: 171–183. doi: 10.3354/meps07341 [DOI] [Google Scholar]
  • 21.Reis RE, Kullander SO, Ferraris CJ Jr. Checklist of the freshwater fishes of South and Central America. Porto Alegre: Edipucrs, 2003. [Google Scholar]
  • 22.Albert JS, Carvalho TP, Petry P, Holder MA, Maxime EL, Espino J, et al. Aquatic biodiversity in the Amazon: habitat specialization and geographic isolation promote species richness. Animals. 2011; 1: 205–241. doi: 10.3390/ani1020205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Azevedo-Santos VM, Garcia-Ayala JR, Fearnside PM, Esteves FA, Pelicice FM, Laurance WF, et al. Amazon aquatic biodiversity imperiled by oil spills. Biodivers. Conserv. 2016; 25: 2831–2834. doi: 10.1007/s10531-016-1192-9 [DOI] [Google Scholar]
  • 24.Ruffino ML, Isaac VJ. Life cycle and biological parameters of several brazilian Amazon fish species. The ICLARM Quartely. 1995; 8: 40–45. [Google Scholar]
  • 25.Barthem RB, Fabré NN. Biologia e diversidade dos recursos pesqueiros da Amazônia. In: Ruffino ML, editor. A pesca e os recursos pesqueiros na Amazônia Brasileira. Manaus: ProVárzea; 2004. pp. 11–55. [Google Scholar]
  • 26.Isaac VJ, Ferrari SF. Assessment and management of the North Brazil shelf large marine ecosystem. Environ Dev. 2016; 22: 97–110. doi: 10.1016/j.envdev.2016.11.004/ [DOI] [Google Scholar]
  • 27.Silva LS, Cavalcante-Braga DV, Lourenço CB, Schwamborn R, Martinelli-Lemos JM. Factors affecting the seasonal variability of planktonic shrimps (Dendrobranchiata) along an estuary-ocean gradient on the Amazon Continental shelf. J Mar Biol Assoc U K. 2021; 101(2), 331–342. doi: 10.1017/S0025315421000308 [DOI] [Google Scholar]
  • 28.Rodrigues-Inoue AC, Santos A, Martinelli-Lemos JM. Distribution patterns of Anomura, Axiidea and Gebiidea (Crustacea, Decapoda) larvae at the Amazon shelf. Reg Stud Mar Sci. 2021; 27: 101946. [Google Scholar]
  • 29.Lima FA, Oliveira TF, Martinelli-Lemos JM. Distribution of brachyuran larvae in an Amazonian estuary as evidence for retention and export. J Crust Biol. 2019; 39: 602–612. doi: 10.1093/jcbiol/ruz051 [DOI] [Google Scholar]
  • 30.Conroy BJ, Steinberg DK, Stukel MR, Goes JI, Coles VJ. Meso and microzooplankton grazing in the Amazon River plume and western tropical North Atlantic. Limnol Oceanogr. 2016; 61: 825–840. doi: 10.1002/lno.10261 [DOI] [Google Scholar]
  • 31.Nittrouer CA, DeMaster DJ. The Amazon shelf setting: tropical, energetic, and influenced by a large river. Cont Shelf Res. 1996; 16: 553–573. doi: 10.1016/0278-4343(95)00069-0 [DOI] [Google Scholar]
  • 32.Nikiema O, Devenon JL, Baklouti M. Numerical modeling of the Amazon River plume. Cont Shelf Res. 2007; 27: 873–899. doi: 10.1016/j.csr.2006.12.004 [DOI] [Google Scholar]
  • 33.Coles VJ, Brooks MT, Hopkins J, Stukel MR, Yager PL, Hood RR. The pathways and properties of the Amazon River plume in the tropical North Atlantic Ocean. J Geophys Res: Oceans. 2013; 118: 6894–6913. doi: 10.1002/2013JC008981 [DOI] [Google Scholar]
  • 34.Dagg M, Benner R, Lohrenz S, Lawrence D. Transformation of dissolved and particulate materials on continental shelves influenced by large rivers: plume processes. Cont Shelf Res. 2004; 24: 833–858. doi: 10.1016/j.csr.2004.02.003 [DOI] [Google Scholar]
  • 35.Mikhailov VN. Water and sediment runoff at the Amazon River mouth. Water Resour. 2010; 37: 145–159. doi: 10.1134/S009780781002003X [DOI] [Google Scholar]
  • 36.Santos MLS, Medeiros C, Muniz K, Feitosa FAN, Schwamborn R, Macedo SJ. Influence of the Amazon and Pará rivers on water composition and phytoplankton biomass on the adjacent shelf. J Coast Res. 2008; 24: 585–593. doi: 10.2112/05-0538.1 [DOI] [Google Scholar]
  • 37.Medeiros PM, Seidel M, Ward ND, Carpenter EJ, Gomes HR, Niggemann J, et al. Fate of the Amazon River dissolved organic matter in the tropical Atlantic Ocean. Global Biogeochem Cycles. 2015; 29: 677–690. doi: 10.1002/2015GB005115 [DOI] [Google Scholar]
  • 38.Smoak JM, Krest JM, Swarzenski PW. Geochemistry of the Amazon estuary. In: Wangersky P, editor. Estuaries. Handbook of environmental chemistry. Berlin: Springer Verlag; 2006. pp. 71–90. [Google Scholar]
  • 39.Lima FA, Martinelli-Lemos JM. Checklist of the Brachyura of the brazilian Amazon coastal zone and knowledge status of their larval development. Zootaxa. 2019; 4646: 301–321. doi: 10.11646/zootaxa.4646.2.6 [DOI] [PubMed] [Google Scholar]
  • 40.Nóbrega PSV, Santos CRM, Cordeiro APB, Martinelli-Lemos JM. Invertebrates assemblage captured by a pink shrimp’s fishery on Amazon continental shelf. Latin Am J Aquatic Res. 2021; 49: 227–241. doi: 10.3856/vol49-issue2-fulltext-2600 [DOI] [Google Scholar]
  • 41.Dai A, Trenberth KE. Estimates of freshwater discharge from continents: latitudinal and seasonal variations. J Hydrometeorol. 2002; 3: 660–687. doi: [DOI] [Google Scholar]
  • 42.Molleri GSF, Novo EMLM, Kampel M. Space-time variability of the Amazon River plume based on satellite ocean color. Cont Shelf Res. 2010; 30: 342–352. doi: 10.1016/j.csr.2009.11.015 [DOI] [Google Scholar]
  • 43.Gouveia NA, Gherardi DFM, Wagner FH, Paes ET, Coles VJ, Aragão LEOC. The salinity structure of the Amazon River plume drives spatiotemporal variation of oceanic primary productivity. J Geophys Res Biogeosci. 2019; 124: 147–165. doi: 10.1029/2018JG004665 [DOI] [Google Scholar]
  • 44.Moura RL, Amado-Filho GM, Moraes FC, Brasileiro PS, Salomon PS, Mahiques MM, et al. Thompson FL. An extensive reef system at the Amazon River mouth. Sci Adv. 2016: 2: e1501252. doi: 10.1126/sciadv.1501252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Taishaku H, Konishi K. Zoeas of Calappa species with special reference to characters of the Family Calappidae (Crustacea, Brachyura). Zool Sci. 1995; 12: 649–654. doi: 10.2108/zsj.12.649 [DOI] [Google Scholar]
  • 46.Fransozo A, Cuesta JA, Negreiros-Fransozo ML. The first zoea stage of two species of Grapsidae (Decapoda, Brachyura) and a key to such larvae from the brazilian coast. Crustaceana. 1998; 71: 331–343. doi: 10.1163/156854098X00293 [DOI] [Google Scholar]
  • 47.Brossi-Garcia AL, Rodrigues MD. Zoeal morphology of Pachygrapsus gracilis (Saussure, 1858) (Decapoda, Grapsidae) reared in the laboratory. Invertebr Reprod Dev. 1993; 24: 197–204. doi: 10.1080/07924259.1993.9672352 [DOI] [Google Scholar]
  • 48.Negreiros-Fransozo ML, Fransozo A, Hebling NJ. Larval development of Persephona mediterranea Herbst, 1794 (Brachyura, Leucosiidae) under laboratory conditions. Crustaceana. 1989; 57: 177–193. doi: 10.1163/156854089X00509 [DOI] [Google Scholar]
  • 49.Hirose GL, Gregati RA, Fransozo A, Negreiros-Fransozo ML. Morphological and morphometric comparisons of the first zoea of four species of purse crabs (Decapoda: Brachyura: Leucosiidae) from the Brazilian South Atlantic. Zootaxa. 2012; 3167: 17–31. doi: 10.11646/zootaxa.3167.1.2 [DOI] [Google Scholar]
  • 50.Rieger PJ. Desenvolvimento larval de Uca (Minuca) mordax (Smith, 1870) (Crustacea, Decapoda, Ocypodidae), em laboratório. Trab Oceanog UFPE. 1997; 25: 225–267. doi: 10.5914/tropocean.v25i1.2741 [DOI] [Google Scholar]
  • 51.Rieger PJ. Desenvolvimento larval de Uca (Minuca) burguesi Holthuis (Crustacea, Decapoda, Ocypodidae), em laboratório. Rev Bras Zool. 1998; 15: 727–756. doi: 10.1590/S0101-81751998000300017 [DOI] [Google Scholar]
  • 52.Rieger PJ. Desenvolvimento larval de Uca (Minuca) vocator (Herbst, 1804) (Crustacea, Decapoda, Ocypodidae), em laboratório. Nauplius. 1999; 7: 1–37. [Google Scholar]
  • 53.Rodrigues MD, Hebling NJ. Ucides cordatus cordatus (Linnaeus, 1763) (Crustacea, Decapoda). Complete larval development under laboratory conditions and its systematic position. Rev Bras Zool. 1989; 6: 147–166. doi: 10.1590/S0101-81751989000100016 [DOI] [Google Scholar]
  • 54.Fransozo A, Mantelatto FL, Negreiros-Fransozo ML. Larval development of Hexapanopeus paulensis Rathbun, 1930 (Crustacea, Brachyura, Xanthidae) under laboratory conditions. Zoologia. 1991; 7: 31–45. doi: 10.1590/S0101-81751990000200002 [DOI] [Google Scholar]
  • 55.Lima JF. Larval development of Austinixa bragantina (Crustacea: Brachyura: Pinnotheridae) reared in the laboratory. Zoologia. 2009; 26: 143–154. doi: 10.1590/S1984-46702009000100020 [DOI] [Google Scholar]
  • 56.Pohle G, Telford M. The larval development of Dissodactylus crinitichelis Moreira, 1901 (Brachyura: Pinnotheridae) in laboratory culture. Bull Mar Sci. 1981; 31: 753–773. [Google Scholar]
  • 57.Lima JF, Abrunhosa FA, Coelho PA. The larval development of Pinnixa gracilipes Coelho (Decapoda, Pinnotheridae) reared in the laboratory. Rev Bras Zool. 2006; 23: 480–489. doi: 10.1590/S0101-81752006000200023 [DOI] [Google Scholar]
  • 58.Costlow JD, Bookhout CG. The larval development of Callinectes sapidus Rathbun reared in the laboratory. Biol Bull. 1959; 116: 373–396. doi: 10.2307/1538947 [DOI] [Google Scholar]
  • 59.Bookhout CG, Costlow JD. Larval development of Portunus spinicarpus reared in the laboratory. Bull Mar Sci. 1974; 24: 20–51. [Google Scholar]
  • 60.Díaz H, Ewald JJ. A comparison of the larval development of Metasesarma rubripes (Rathbun) and Sesarma ricordi H. Milne Edwards (Brachyura, Grapsidae) reared under similar laboratory conditions. Crustaceana. 1968; 2: 225–248. doi: 10.2307/25027398 [DOI] [Google Scholar]
  • 61.Souza AS, Costa RM, Abrunhosa FA. Comparative morphology of the first zoea of twelve brachyuran species (Crustacea: Decapoda) from the Amazon region. Zoologia. 2013; 30: 273–290. doi: 10.1590/S1984-46702013000300004 [DOI] [Google Scholar]
  • 62.Cavalcanti EAH, Larrazábal MEL. Macrozooplâncton da Zona Econômica Exclusiva do Nordeste do Brasil (Segunda Expedição Oceanográfica—REVIZEE/NE II) com ênfase em Copepoda (Crustacea). Rev Bras Zool. 2004; 21: 467–475. doi: 10.1590/S0101-81752004000300008 [DOI] [Google Scholar]
  • 63.Burnham KP, Andersen DR. Model selection and multimodel inference. 2nd ed. New York: Springer; 2002. [Google Scholar]
  • 64.McCullagh P, Nelder JA. Generalized linear models. 2nd ed. London: Chapman and Hall; 1989. [Google Scholar]
  • 65.Devlin K. The joy of sets: fundamentals of contemporary set theory. 2nd ed. [S. l.]: Springer; 1994. [Google Scholar]
  • 66.Johnson DH. The insignificance of statistical significance testing. J. Wildl. Manage; 1999. [Google Scholar]
  • 67.Burnham KP, Anderson DR, Huyvaert KP. AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behav Ecol Sociobiol. 2011; 65: 23–35. doi: 10.1007/s00265-010-1029-6 [DOI] [Google Scholar]
  • 68.Claeskens G, Hjort NL. Model Selection and Model Averaging. Cambridge: Cambridge University Press; 2008. [Google Scholar]
  • 69.Seidel M, Yager PL, Ward ND, Carpenter EJ, Gomes HR, Krusche AV, Richey JE, Dittmar T, Medeiros PM. Molecular-level changes of dissolved organic matter along the Amazon River-to-ocean continuum. Mar Chem. 2015; 177: 218–231. doi: 10.1016/j.marchem.2015.06.019 [DOI] [Google Scholar]
  • 70.Morgan SG, Fisher JL. Larval behavior regulates nearshore retention and offshore migration in an upwelling shadow and along the open coast. Mar Ecol Prog Ser. 2010; 404: 109–126. doi: 10.3354/meps08476 [DOI] [Google Scholar]
  • 71.Sulkin SD. Behavioral basis of depth regulation in the larvae of brachyuran crabs. Mar. Ecol. Prog. Ser. 1984; 15: 181–205. doi: 10.3354/meps015181 [DOI] [Google Scholar]
  • 72.Miller SH, Morgan SG. Phenotypic plasticity in larval swimming behavior in estuarine and coastal crab populations. J Exp Mar Biol Ecol. 2013; 449: 45–50. doi: 10.1016/j.jembe.2013.08.013 [DOI] [Google Scholar]
  • 73.Anger K, Queiroga H, Calado R. Larval development and behaviour strategies in Brachyura. In: Castro P, Davie P, Guinot D, Schram F, von Vaupel Klein C, editors. Treatise on zoology–anatomy, taxonomy, biology. Leiden: Brill; 2015. pp. 317–374. doi: 10.1163/9789004190832_008 [DOI] [Google Scholar]
  • 74.Gravinese PM. Vertical swimming behavior in larvae of the Florida stone crab, Menippe mercenaria. J. Plankton Res. 2018; 40: 643–654. doi: 10.1093/plankt/fby040 [DOI] [Google Scholar]
  • 75.Cohen JH, Hanson CK, Dittel AI, Miller DC, Tilburg CE. The ontogeny of larval swimming behavior in the crab Hemigrapsus sanguineus: Implications for larval transport. J Exp Mar Biol Ecol. 2015; 462: 20–28. doi: 10.1016/j.jembe.2014.10.003 [DOI] [Google Scholar]
  • 76.Capaldo PS. Salinity preferences in the stage I zoea of three temperate zone fiddler crabs, Genus Uca. Estuaries. 1993; 16: 784–788. doi: 10.2307/1352436 [DOI] [Google Scholar]
  • 77.Torres G, Giménez L, Anger K. Growth, tolerance to low salinity, and osmoregulation in decapod crustacean larvae. Aquat Biol. 2011; 12: 249–260. doi: 10.3354/ab00341 [DOI] [Google Scholar]
  • 78.Morgan SG, Anastasia JR. Behavioral tradeoff in estuarine larvae favors seaward migration over minimizing visibility to predators. Proc Natl Acad Sci. 2008; 105: 222–227. doi: 10.1073/pnas.0704725105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Silva AC, Santos MLS, Araujo MC, Bourles B. Observações hidrológicas e resultados de modelagem no espalhamento sazonal e espacial da pluma de água Amazônica. Acta Amaz. 2009; 39: 361–370. doi: 10.1590/S0044-59672009000200014 [DOI] [Google Scholar]
  • 80.Lentz SJ, Limeburner R. The Amazon River Plume during AMASSEDS: Spatial characteristics and salinity variability. J Geophys Res. 1995; 100: 2355–2375. doi: 10.1029/94JC01411 [DOI] [Google Scholar]
  • 81.Smith WO Jr, DeMaster DJ. Phytoplankton biomass and productivity in the Amazon River plume: correlation with seasonal river discharge. Cont Shelf Res. 1996; 6: 227–244. doi: 10.1016/0278-4343(95)00007-N [DOI] [Google Scholar]
  • 82.Jackson TD, Torres G, Giménez L. Survival and development of larvae of two decapod crustaceans under limited access to prey across a thermal range. J Plankton Res. 2014; 1–12. doi: 10.1093/plankt/fbu065 [DOI] [Google Scholar]
  • 83.Vereshchaka AL, Anokhina LL. Composition and dynamics of the Black Sea benthopelagic plankton and its contribution to the near shore plankton communities. Plos One. 2014; 9: e99595. doi: 10.1371/journal.pone.0099595 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Forward RB Jr, Tankersley RA. Selective tidal-stream transport of marine animals. Oceanogr Mar Biol. 2001; 39: 305–353. [Google Scholar]
  • 85.Nóbrega PSV, Quaresma MC, Lima FA, Martinelli-Lemos JM. Spatial-temporal variation of the population structure and density of the shore crab Pachygrapsus gracilis (Grapsidae) in an estuary on the Brazilian Amazon coast. Nauplius, 2021, 29: e2021024. [Google Scholar]
  • 86.Bueno M, Flores AVV. Tidal-amplitude rhythms of larval release: variable departure from presumed optimal timing among populations of the mottled shore crab. J Mar Biol Assoc U K. 2010; 90: 859–865. doi: 10.1017/S0025315410000044 [DOI] [Google Scholar]
  • 87.Drake P, Arias AM, Rodríguez A. Seasonal and tidal abundance patterns of decapod crustacean larvae in a shallow inlet (SW Spain). J Plankton Res. 1998; 20: 585–601. doi: 10.1093/plankt/20.3.585 [DOI] [Google Scholar]
  • 88.Park S, Epifanio CE, Grey EK. Behavior of larval Hemigrapsus sanguineus (de Haan) in response to gravity and pressure. J Exp Mar Biol Ecol. 2004; 307: 197–206. doi: 10.1016/j.jembe.2004.02.007 [DOI] [Google Scholar]
  • 89.Flores AAV, Mazzuco ACA, Bueno M. A field study to describe diel, tidal and semilunar rhythms of larval release in an assemblage of tropical rocky shore crabs. Mar Biol. 2007; 151: 1989–2002. doi: 10.1007/s00227-007-0639-7 [DOI] [Google Scholar]
  • 90.Morgan SG, Fisher JL, Mace AJ. Larval recruitment in a region of strong, persistent upwelling and recruitment limitation. Mar Ecol Prog Ser. 2009; 394: 79–99. doi: 10.3354/meps08216 [DOI] [Google Scholar]
  • 91.Miller SH, Morgan SG. Interspecific differences in depth preference: regulation of larval transport in an upwelling system. Mar Ecol Prog Ser. 2013; 476: 301–306. doi: 10.3354/meps10150 [DOI] [Google Scholar]
  • 92.Morgan SG, Miller SH, Robart MJ, Largier JL. Nearshore larval retention and cross-shelf migration of bentic crustaceans at an Upwelling Center. Front Mar Sci. 2018; 5. doi: 10.3389/fmars.2018.00161 [DOI] [Google Scholar]
  • 93.Flores AAV, Negreiros-Fransozo ML. On the population biology of the mottled shore crab Pachygrapsus transversus (Gibbes, 1850) (Brachyura, Grapsidae) in a subtropical area. Bull Mar Sci. 1999; 65: 59–73. [Google Scholar]
  • 94.Araújo MSLC, Azevedo DS, Silva JVCL, Pereira CLF, Castiglioni DS. Population biology of two sympatric crabs: Pachygrapsus transversus (Gibbes, 1850) (Brachyura, Grapsidae) and Eriphia gonagra (Fabricius, 1781) (Brachyura, Eriphidae) in reefs of Boa Viagem beach, Recife, Brazil. Pan-Am J Aquat Sci. 2016; 11: 197–210. [Google Scholar]
  • 95.Schlotterbeck RE. The larval development of the lined shore crab, Pachygrapsus crassipes Randall, 1840 (Decapoda Brachyura, Grapsidae) reared in the laboratory. Crustaceana. 1976; 30: 184–200. doi: 10.1163/156854076X00567 [DOI] [Google Scholar]
  • 96.Cuesta JA, Rodríguez A. Zoeal stages of the intertidal crab Pachygrapsus marmoratus (Fabricius, 1787) (Brachyura, Grapsidae) reared in the laboratory. Hydrobiologia. 2000; 436: 119–130. doi: 10.1023/A:1026576614590 [DOI] [Google Scholar]
  • 97.Cházaro-Olvera S, Rocha-Ramírez A, Arellano-Rodarte P. Transport of Pachygrapus gracilis megalopae from a lagoon system inlet in the Southwestern Gulf of Mexico. Crustaceana. 2007; 80: 955–968. doi: 10.1163/156854007781681337 [DOI] [Google Scholar]
  • 98.Peiró DF, Mantelatto FL. Population dynamics of the pea crab Austinixa aidae (Brachyura, Pinnotheridae): a symbiotic of the ghost shrimp Callichirus major (Thalassinidea, Callianassidae) from the southwestern Atlantic. Iheringia, 2011; 101: 5–14. doi: 10.1590/S0073-47212011000100001 [DOI] [Google Scholar]
  • 99.McDermott JJ. Biology of the brachyuran crab Pinnixa chaetopterana Stimpson (Decapoda: Pinnotheridae) symbiotic with tubicolous polychaetes along the Atlantic coast of the United States, with additional notes on other polychaete associations. Proc Biol Soc Wash. 2005; 118:742–764. doi: 10.2988/0006-324X(2005)118[742:BOTBCP]2.0.CO;2 [DOI] [Google Scholar]
  • 100.Alves ES, Pezzuto PR. Population dynamics of Pinnixa patagoniensis Rathbun, 1918 (Brachyura: Pinnotheridae) a symbiotic crab of Sergio mirim (Thalassinidea: Callianassidae) in Cassino Beach, Southern Brazil. Mar Ecol. 1998; 19: 37–51. doi: 10.1111/j.1439-0485.1998.tb00452.x [DOI] [Google Scholar]
  • 101.Dowds RE. Distribution and reproduction of four species of Pinnixa (Crustacea: Brachyura) in a North Carolina estuary. Am Zool. 1978; 18: 599. doi: 10.1163/1937240X-00002294 [DOI] [Google Scholar]
  • 102.Breckenridge JK, Bollens SM. Vertical distribution and migration of decapod larvae in relation to light and tides in Willapa Bay, Washington. Estuar Coast. 2011; 34: 1255–1261. doi: 10.1007/s12237-011-9405-7 [DOI] [Google Scholar]
  • 103.Sandifer PA. The role of pelagic larvae in recruitment to populations of adult decapod crustaceans in the York River estuary and adjacent lower Chesapeake Bay Virginia USA. Estuar Coast Mar Sci. 1975; 3: 269–279. doi: 10.1016/0302-3524(75)90028-6 [DOI] [Google Scholar]
  • 104.Huesh PW. Intertidal distribution, symbiotic association and reproduction of Pinnotheres bidentatus (Brachyura: Pinnotheridae) from Taiwan. J Nat Hist. 2001; 35: 1681–1692. doi: 10.1080/002229301317092397 [DOI] [Google Scholar]
  • 105.Schmitt WL, McCain JC, Davidson ES. Decapoda I Brachyura I Fam. Pinnotheridae. In: Gruner HE, Holthuis LB, editors. Crustaceorum Catalogus. Den Haag; 1973. pp. 32–37. [Google Scholar]
  • 106.Forward RB Jr, Tankersley RA, Welch JM. Selective tidal-stream transport of the blue crab Callinectes sapidus: an overview. Bull Mar Sci. 2003; 72: 347–365. [Google Scholar]
  • 107.Ogburn MB, Jackson JL, Forward RB Jr. Comparison of low salinity tolerance in Callinectes sapidus Rathbun and Callinectes similis Williams postlarvae upon entry into an estuary. J Exp Mar Biol Ecol. 2007; 352: 343–350. doi: 10.1016/j.jembe.2007.08.008 [DOI] [Google Scholar]
  • 108.Ravi R, Manisseri MK. Survival rate and development period of the larvae of Portunus pelagicus (Decapoda, Brachyura, Portunidae) in relation to temperature and salinity. Fish Aquac J. 2012; FAJ–49. doi: 10.4172/2150-3508.1000049 [DOI] [Google Scholar]
  • 109.Nóbrega PSV, Santos CRM, Martinelli-Lemos JM. Impacts of trawling on the invertebrate assemblage of Blue Amazon. Bol Inst Pesca; Forthcoming. [Google Scholar]
  • 110.Dittel AIR, Epifanio CE. Seasonal abundance and vertical distribution of crab larvae in Delaware Bay. Estuaries. 1982; 5: 197–202. doi: 10.2307/1351835 [DOI] [Google Scholar]
  • 111.Morgan SG. Adaptive significance of hatching rhythms and dispersal patterns of estuarine crab larvae: avoidance of physiological stress by larval export? J Exp Mar Biol Ecol. 1987; 113: 71–78. doi: 10.1016/0022-0981(87)90083-9 [DOI] [Google Scholar]
  • 112.Rodríguez A, Drake P, Arias AM. Reproductive periods and larval abundance patterns of the crabs Panopeus africanus and Uca tangeri in a shallow inlet (SW Spain). Mar Ecol Prog Ser. 1997; 149: 133–142. doi: 10.3354/meps149133 [DOI] [Google Scholar]
  • 113.Brodie RJ, Behum ME, Monroe E, Glenn N, Staton JL. Recruitment to adult habitats following marine planktonic development in the fiddler crabs, Uca pugilator, U. pugnax, and U. minax. Mar Biol. 2005; 147: 105–111. doi: 10.1007/S00227-005-1557-1 [DOI] [Google Scholar]
  • 114.O’Connor N. Settlement and recruitment of the fiddler crabs Uca pugnax and U. pugilator in a North Carolina, USA; salt marsh. Mar Ecol Prog Ser. 1993; 93: 227–234. doi: 10.3354/meps093227 [DOI] [Google Scholar]
  • 115.Diele K, Simith DJB. Salinity tolerance of northern Brazilian mangrove crab larvae, Ucides cordatus (Ocypodidae): necessity for larval export? Estuar Coast Shelf Sci. 2006; 68: 600–608. doi: 10.1016/j.ecss.2006.03.012 [DOI] [Google Scholar]
  • 116.Diele K. Life history and population structure of the exploited mangrove crab Ucides cordatus cordatus (L.) (Decapoda: Brachyura) in the Caeté estuary, North Brazil. Doc Thesis, Center for Tropical Marine Ecology Contribution, Bremen. 2000. Available from: https://core.ac.uk/download/pdf/74034627.pdf
  • 117.Hattori GY, Pinheiro MAA. Fertilidade do caranguejo de mangue Ucides cordatus (Linnaeus) (Crustacea, Brachyura, Ocypodidae), em Iguape (São Paulo, Brasil). Rev Bras Zool. 2003; 20: 309–313. doi: 10.1590/S0101-81752003000200022 [DOI] [Google Scholar]
  • 118.Lima GV, Soares MRS, Oshiro LMY. Reproductive biology of the sesarmid crab Armases rubripes (Decapoda, Brachyura) from an estuarine area of the Sahy River, Sepetiba Bay, Rio de Janeiro, Brazil. Iheringia. 2006; 96: 47–52. doi: 10.1590/S0073-47212006000100007 [DOI] [Google Scholar]
  • 119.Montú M, Anger K, Bakker C. Variability in the larval development of Metasesarma rubripes (Decapoda, Grapsidae) reared in laboratory. Nerítica. 1990; 5: 113–128. [Google Scholar]
  • 120.Luppi TA, Spivak ED, Bas CC. The effects of temperature and salinity on larval development of Armases rubripes Rathbun, 1897 (Brachyura, Grapsoidea, Sesarmidae), and the southern limit of its geographical distribution. Estuar Coast Shelf Sci. 2003; 58: 575–585. doi: 10.1016/S0272-7714(03)00136-7 [DOI] [Google Scholar]
  • 121.Conde JE, Diaz H. The mangrove tree crab Aratus pisonii in a tropical estuarine coastal lagoon. Estuar Coast Shelf Sci. 1989; 28: 639–650. doi: 10.1016/0272-7714(89)90051-6 [DOI] [Google Scholar]
  • 122.Leme MHA, Negreiros-Fransozo ML. Reproductive patterns of Aratus pisonii (Decapoda: Grapsidae) from an estuarine area of São Paulo northern coast, Brazil. Rev Biol Trop. 1998; 46: 673–678. [Google Scholar]
  • 123.Araújo MSLC, Tenório DO, Castiglioni DS. Population biology of the crab Armases angustipes (Crustacea, Decapoda, Sesarmidae) at Brazilian tropical coast. Iheringia. 2014; 104: 150–161. doi: 10.1590/1678-476620141042150161 [DOI] [Google Scholar]
  • 124.Mantelatto FLM, Faria FCR, Garcia RB. Biological aspects of Mithraculus forceps (Brachyura: Mithracidae) from Anchieta Island, Ubatuba, Brazil. J Mar Biol Assoc U K. 2003; 83: 789–791. doi: 10.1017/S0025315403007811h [DOI] [Google Scholar]
  • 125.Marochi MZ, Martins SB, Masunari S. The salinity during larval development affects the dispersion in adults of the tree-climbing crab Aratus pisonii. J Nat Hist. 2017; 51: 2271–2281. doi: 10.1080/00222933.2017.1365964 [DOI] [Google Scholar]
  • 126.Anger K. Salinity tolerance of the larvae and first juveniles of a semiterrestrial grapsid crab, Armases miersii (Rathbun). J Exp Mar Biol Ecol. 1996; 202: 205–223. doi: 10.1016/0022-0981(96)00022-6 [DOI] [Google Scholar]
  • 127.Anger K, Torres G, Charmantier-Daures M, Charmantier G. Adaptative diversity in congeneric coastal crabs: ontogenetic patterns of osmoregulation match life-history strategies in Armases spp. (Decapoda, Sesarmidae). J Exp Mar Biol Ecol. 2008; 367: 28–36. doi: 10.1016/j.jembe.2008.08.009 [DOI] [Google Scholar]
  • 128.Francini-Filho RB, Asp NE, Siegle E, Hocevar J, Lowyck K, D’Avila N, et al. Thompson FL. Perspectives on the great Amazon reef: Extension, biodiversity, and threats. Front Mar Sci. 2018; 5. doi: 10.3389/fmars.2018.00142 [DOI] [Google Scholar]
  • 129.Hu C, Montgomery ET, Schmitt RW, Muller-Karger FE. The dispersal of the Amazon and Orinoco River water in the tropical Atlantic and Caribbean Sea: observation from space and S-PALACE floats. Deep Sea Res Part II. 2004; 51: 1155–1171. doi: 10.1016/j.dsr2.2004.04.001 [DOI] [Google Scholar]
  • 130.Epifanio CE, Garvine RW. Larval transport on the Atlantic Continental shelf of North America: a review. Estuar Coast Shelf Sci. 2001; 52: 51–77. doi: 10.1006/ecss.2000.0727 [DOI] [Google Scholar]
  • 131.McConaugha JR. Decapod larvae: dispersal, mortality and ecology. A working hypothesis. Am Zool. 1992; 32: 512–523. doi: 10.1093/icb/32.3.512 [DOI] [Google Scholar]
  • 132.González-Gordillo JI, Rodríguez A. Comparative seasonal and spatial distribution of decapod larvae assemblages in three coastal zones off the south-western Iberian Peninsula. Acta Oecol. 2003; 24: S219–S233. doi: 10.1016/S1146-609X(03)00032-8 [DOI] [Google Scholar]
  • 133.Christy JH. Reproductive timing and larval dispersal of intertidal crabs: the predator avoidance hypothesis. Rev Chil Hist Nat. 2003; 76: 177–185. doi: 10.4067/S0716-078X2003000200005 [DOI] [Google Scholar]
  • 134.Natunewicz CC, Epifanio CE, Garvine RW. Transport of crab larval patches in the coastal ocean. Mar Ecol Prog Ser 2001; 222: 143–154. doi: 10.3354/MEPS222143 [DOI] [Google Scholar]
  • 135.Jones MB, Epifanio CE. Patches of crab megalopae in the mouth of Delaware Bay- An analysis of spatial scales. J Shellfish Res. 2005; 24: 261–267. doi: 10.2983/0730-8000(2005)24[261:POCMIT]2.0.CO;2 [DOI] [Google Scholar]
  • 136.Barletta M, Barletta-Bergan A, Saint-Paul U, Hubold G. Seasonal changes in density, biomass, and diversity of estuarine fishes in tidal mangrove creeks of the lower Caeté Estuary (northern Brazilian coast, east Amazon). Mar Ecol Prog Ser. 2003; 256: 217–228. doi: 10.3354/meps256217 [DOI] [Google Scholar]
  • 137.Giarrizo T, Krumme U. Heterogeneity in intertidal fish fauna assemblages along the world’s longest mangrove area in northern Brazil. J Fish Biol. 2008; 72: 773–779. doi: 10.1111/j.1095-8649.2007.01728.x [DOI] [Google Scholar]

Decision Letter 0

Atsushi Fujimura

20 Aug 2021

PONE-D-21-16420

Larval dispersal of Brachyura in the largest estuarine / marine system in the world

PLOS ONE

Dear Dr. de Lima,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Oct 04 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Atsushi Fujimura

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. We note that the grant information you provided in the ‘Funding Information’ and ‘Financial Disclosure’ sections do not match. 

When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

3. Thank you for stating the following financial disclosure: 

We are grateful to the Brazilian National Research Council, CNPq, for supporting this project (INCT AMBIENTES MARINHOS TROPICAIS Edital MCT / CNPq / FNDCT nº 71/2010). We would like to thank the PROPESP/FADESP (PAPQ Program) for financing the translation of the original manuscript by the native fluency English speaker Ruth Kakogiannos. We thank the students of the Amazonian Crustacean Ecology Research Group (GPECA) and other colleagues for assisting field sampling and sample processing, especially Prof. Dr. Fernando Abrunhosa for the confirmation of some larval groups.

Please state what role the funders took in the study.  If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript." 

If this statement is not correct you must amend it as needed. 

Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

4. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

5. Please include your full ethics statement in the ‘Methods’ section of your manuscript file. In your statement, please include the full name of the IRB or ethics committee who approved or waived your study, as well as whether or not you obtained informed written or verbal consent. If consent was waived for your study, please include this information in your statement as well. 

6. We note that Figure 1 in your submission contain [map/satellite] images which may be copyrighted. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For these reasons, we cannot publish previously copyrighted maps or satellite images created using proprietary data, such as Google software (Google Maps, Street View, and Earth). For more information, see our copyright guidelines: http://journals.plos.org/plosone/s/licenses-and-copyright.

We require you to either (1) present written permission from the copyright holder to publish these figures specifically under the CC BY 4.0 license, or (2) remove the figures from your submission:

a. You may seek permission from the original copyright holder of Figure 1 to publish the content specifically under the CC BY 4.0 license.  

We recommend that you contact the original copyright holder with the Content Permission Form (http://journals.plos.org/plosone/s/file?id=7c09/content-permission-form.pdf) and the following text:

“I request permission for the open-access journal PLOS ONE to publish XXX under the Creative Commons Attribution License (CCAL) CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). Please be aware that this license allows unrestricted use and distribution, even commercially, by third parties. Please reply and provide explicit written permission to publish XXX under a CC BY license and complete the attached form.”

Please upload the completed Content Permission Form or other proof of granted permissions as an "Other" file with your submission.

In the figure caption of the copyrighted figure, please include the following text: “Reprinted from [ref] under a CC BY license, with permission from [name of publisher], original copyright [original copyright year].”

b. If you are unable to obtain permission from the original copyright holder to publish these figures under the CC BY 4.0 license or if the copyright holder’s requirements are incompatible with the CC BY 4.0 license, please either i) remove the figure or ii) supply a replacement figure that complies with the CC BY 4.0 license. Please check copyright information on all replacement figures and update the figure caption with source information. If applicable, please specify in the figure caption text when a figure is similar but not identical to the original image and is therefore for illustrative purposes only.

The following resources for replacing copyrighted map figures may be helpful:

USGS National Map Viewer (public domain): http://viewer.nationalmap.gov/viewer/

The Gateway to Astronaut Photography of Earth (public domain): http://eol.jsc.nasa.gov/sseop/clickmap/

Maps at the CIA (public domain): https://www.cia.gov/library/publications/the-world-factbook/index.html and https://www.cia.gov/library/publications/cia-maps-publications/index.html

NASA Earth Observatory (public domain): http://earthobservatory.nasa.gov/

Landsat: http://landsat.visibleearth.nasa.gov/

USGS EROS (Earth Resources Observatory and Science (EROS) Center) (public domain): http://eros.usgs.gov/#

Natural Earth (public domain): http://www.naturalearthdata.com/

7. Please upload a copy of Figure 6 and 7, to which you refer in your text on page 13. If the figure is no longer to be included as part of the submission please remove all reference to it within the text.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: I Don't Know

Reviewer #2: I Don't Know

Reviewer #3: I Don't Know

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: General comments:

The manuscript deals with the dispersion of Brachyura larvae in an area of the Amazon continental shelf under the influence of the estuarine plume of the Amazon River. Despite being a relevant topic and there is little information available on the subject, the manuscript presents some points that need to be better presented and explained before the manuscript can be published. My opinion is that the manuscript must be rejected in its present form.

Suggestions for Improvements

Major issues

- The manuscript does not have clear objectives and hypotheses.

- The presented methodology leaves several doubts about the adopted procedures.

Pag. 6 line 137. Little information was mentioned about the acquisition of environmental variables, making it impossible to understand how the data were obtained. Data were collected only the surface layer? Other layers of the water column were sampled?

Would the environmental variables obtained in a single layer of the water column be sufficient to understand the complex patterns of larval dispersion on the continental shelf?

Minor issues

Title: “Larval dispersal of Brachyura in the largest estuarine / marine system in the world”

The title of the manuscript does not completely agree with the focus of the manuscript.

Material and methods.

Pag. 4. Line 99. What do the authors consider to be a rare and deep environment?

Pag. 6 line 131. The horizontal samplings were carried out during the daytime, at night time, in which tide? Sampling was standardized?

Pag. 6 line. 132. What are the criteria used in choosing the fixed collection points? How was depth measured?

Pag. 6. Line 134. “V'-shaped, covering up to 75 % of the local depth”. This collection procedure should be better explained.

Pag. 6. Line 137. “Simultaneously, water temperature (ºC), salinity, and chlorophyll-a (μg / L) contents were measured, using a CTD probe (Hydrolab DS 5)”. Environmental variables were obtained from the surface layer? No data were obtained in other depths?

Pag. 6 line 142. What keys were used by the authors to identify the different taxonomic levels? How the diferente stages of larval development were identified?

Results.

In general, the analyzes presented do not clearly demonstrate the relationship of environmental factors in the distribution of larvae.

Pag. 9, line 208. It is not possible to verify how the estuarine plume affected the different sampling points throughout the sampling period.

Discussion.

Some points mentioned above about distribution models may affect manuscript discussion.

Reviewer #2: Please see the attached document for formatted version of reviewer comments below.

This study summarizes field distributions of Brachyuran crab larvae along the Amazon Continental Shelf. The authors describe larval dispersal of diverse taxa across both spatial (depth/distance offshore) and seasonal scales. To date, relatively few studies have reported extensive field distributions of Brachyura during larval development. Hence, this study provides a valuable contribution to better understanding their dispersal patterns.

Please find my comments and suggestions below. Many of my comments are minor suggestions, although there are four major concerns that I hope the authors will address in revision. First, the phrase “larval dispersion” is used incorrectly and should most likely be replaced with “larval dispersal” throughout the manuscript. In ecology, dispersion indicates investigation of specific distribution patterns, e.g. random, clumped, or uniform, whereas “dispersal” indicates the movement of individuals, e.g. export vs. retention. Second, the figures that show model results (Figs. 3 – 5) are missing key information, which make it difficult to confirm the authors’ interpretation of the data. I provided specific comments to this regard below. Third, the paper should include a summary of model outcomes in the results section to support statements made later in the discussion. For example, the authors state that salinity was a reliable predictor of larval dispersal, while temperature and chlorophyll-a were not; however, statistical support for this claim is lacking. Overall, I find it concerning that an extensive multi-model approach was described in the methods section, but there is little description of the outcomes in the results section (aside from Figs. 3 – 5, which require more detail in their respective captions). Fourth, the impact of the seasonal plume is a central point in the paper. However, statistical/graphical support is lacking (see my comment regarding lines 285 – 297 below). The authors reference Figs. 6 and 7 to support this analysis. However, these figures were not included in this submission.

In summary, this study represents a valuable contribution to better understanding the dispersal of larval Brachyurans in coastal systems. However, I recommend that the concerns presented in this review be addressed prior to publication.

Abstract

The importance of the Amazon River seasonal flow and plume is not mentioned until the end of the abstract. Opening the abstract with a sentence or two describing the system would help guide the reader through the results that are summarized just below.

Lines 27 – 31: This sentence runs on a bit. It would be useful to more clearly highlight the two objectives described: (1) to analyze the composition of larval Brachyuran crabs and (2) to predict the importance of environmental parameters in structuring their occurrence/abundance.

Line 31: “A total of 17,759 identified larvae are…” should be “A total of 17,759 identified larvae were…”

Line 39: “(> = 33.5)” should be “(≥ 33.5)”

Line 45: Remove “plankton”

Introduction

Line 73: Do you mean “harbors”, rather than “habirs” here?

Line 81: Why include “among others”?

Lines 99 – 103: I suggest restructuring of this sentence. It might be useful to break it up into (1) parameters of larval composition/distribution and (2) how these relate to environmental profiles. The current organization is a bit convoluted.

Line 104: The “aquatic food chain” is an oversimplification. Consider using “food web” or “trophic interactions” instead.

Line 108: I’m not sure what is meant by “…should be distributed on their parental populations…” Are you expecting close proximity to parental populations? Given the common export strategy of estuarine crabs, would this be likely for all Brachyuran crabs in the region?

Methods

Lines 115 – 116: “July/2013 to January/2015” should be “July 2013 to January 2015”

Line 131: “haulsin” should be “hauls in”

Lines 154 – 155: The density unit should have not a period after larvae, and the sentence could be restructured for clarity, e.g. “Density (larvae m-3) was estimated by dividing Brachyuran larval abundance by the volume filtered through the plankton net.”

Line 161: “…of each species larvae…” should be “…of each larval species…” or “…of each species of larvae”

Line 200: Citation(s) to support that this threshold is “widely used”?

Results

Line 208 and 212: Replace “amplitude” with “range”

Line 209: The parenthetical “begin” should be “beginning” in both occurrences here.

Line 217: Remove the “/” between month and year

Line 248: Add “and” before Pinnixa

Line 285 – 297: I think that the seasonal plume analysis discussed here is important. However, this section requires visual, model, and/or statistical support. Figure 6 and 7 are referenced in this paragraph but these were not included in the submission. In addition, several of the statements made cannot be supported by Table 1 or Figs. 3 – 5, which do not include seasonal information.

Discussion

Lines 301 – 303: To make this statement, more support is needed in the results section (see previous comment regarding lines 285 – 297).

Line 311: Should be “Brachyuran larvae”

Lines 320 – 323: Where are the model results that support this statement?

Line 470: Remove “Anyway”

Line 515: Is “particular” the best word here?

Line 531: Why change the subtitle structure at this point? All others list the family only.

Line 561: Same as above – why alter the subtitle structure?

Line 563: “larval” before zoea is a bit redundant

Line 585: Either add a semicolon after “…(Herbst, 1803)” or start a new sentence, i.e. “The latter is…” The structure of species name reporting also switches to parentheticals here: “Calappa gallus (Herbst, 1803)” rather than the previous “Calappa sulcata Rathbun, 1898”. For consistency, use the same format throughout.

Line 661: “And” should not be capitalized.

Table and Figures

Table 1 only shows the frequency of occurrence for one month/year for each group. Based on the supplemental figures, I assume this is the timepoint with the highest density for each individual taxon. If so, indicate this in the table caption. I also suggest characterizing the colors of the heat map described, i.e. frequency of occurrence increases in order of white, light gray, dark gray, and black. Also, “S” is used as an abbreviation for salinity and for sub-superficial sample. Perhaps, it would be clearer to change the latter to “SS”.

Fig. 1 caption: It would be useful to identify that the distances listed are kilometers offshore, e.g. “…(23 km, 53 km, 83 km, 158 km, 198 km, and 233 km offshore).”

Figs. 3 – 5: More information is needed in the caption, which could also be accomplished by adding a legend. For example, what do the different colors represent – different models? Do the shaded regions around each trendline indicate a confidence interval of some sort? Are the y-axis values shown expected abundance per some unit of volume? The methods state that the “final prediction for the expected abundance of each group is given by the product between its predicted abundance and the PO in the reference scenario”. However, the notation in the y-axis label indicates that you are showing a ratio of predicted abundance / PO, rather than the product.

Supporting information

S9 and S10 were not referenced in the text.

Reviewer #3: Review: "Larval dispersal of Brachyura in the largest estuarine / marine system in the world", submitted to PlosOne by F.A. de Lima et al.

This paper describes seasonal variations and regional distribution patterns in the occurrence of brachyuran crab larvae studied in a transect from 23 to 233 km off the NE coast of Marajó Island, Amazon estuary, Brazil. Each transect comprised 6 sampling stations visited from July 2013 to January 2015 during 7 expeditions in approximately quarterly intervals (actually every 2-4 months). Since the offshore distribution of crab larvae in the Amazon estuary is very little known and considerable amounts of novel data were obtained in this study, this paper should eventually be published in an international journal such as Plos One. Before it can be accepted, however, it should undergo a thorough revision and restructuring. Most of my concerns are related to the description of the methods, the presentation of the data, and the detailed discussion of higher taxa (mostly at the family level). While I feel that some aspects are given too much attention, others are neglected or remain unclear (see below). - I suggest that the authors should carefully consider the following points:

- General organization of this paper: It appears to me (especially in the Abstract and in the Discussion section), that the authors put far too much emphasis on the systematic position of the identified larvae rather than to ecological groups and reproductive strategies. For some of the 25 crab taxa identified in this study, the benthic juvenile and adult life-history stages are well known as to their salinity requirements, living and reproducing either in estuarine (i.e. brackish) coastal habitats or in offshore (marine) waters with higher salinities. The data gathered in this field study, especially those of horizontal and vertical distribution of crab larvae (comparing parallel samples from surface and sub-surface water) should therefore be looked at in more detail, mainly in the context of export and retention strategies (for aims of this study, cf. p. 5, L 109). Where relationships between known life-history strategies and the taxonomical position are known or presumed (e.g. Ocypodidae, Panopeidae, Grapsidae, Sesarmidae), such relationships should of course briefly be discussed. Mainly, however, ecological, reproductive and developmental traits of only the most predominant and better known taxa should be discussed in more detail (where possible, at the species level). This analysis should consider also the quantitative data of larval density in relation to temperature, salinity and chlorophyll concentration. For all rare and lesser known taxa including unidentified larvae, the absence/presence data presented in Table would be largely sufficient as a preliminary set of information. In addition, detailed quantitative data for all taxa should be presented as supplementary material (see comments below).

- I am aware that a more detailed presentation and a more convincing interpretation of the data will require more space in this paper. However, this expansion can be fully compensated by a radical (and necessary!) reduction of the Discussion (almost 16 pp.) and, as a consequence, of the number of references (now 177!). In its present form, this section represents an extended review which, to a great extent, is dealing with larval morphology and taxonomy, rather than an adequate discussion of the data that are actually shown here.

- The authors collected a great set of quantitative data (larval densities, temperatures, salinities, chlorophyll a), not only from 6 sampling stations differing in their distance from the coast, but also from different seasons (7 expeditions in 2 years) and two different sampling depths (horizontal, oblique). In the documentation of the data, however, it seems that these data were often pooled, especially those from surface and subsurface samples, so that much potentially valuable information is lost.

- In the supplementary illustrations (bar charts in Figs. S1 - S8), larval densities are given as mean values without SD and total numbers (n). It remains unclear whether these values were obtained from surface or subsurface samples, or pooled numbers from both.

- For the assessment of different frequencies of successive larval stages (cake charts in Figs. S1 - S8), it is necessary to add total numbers. A fraction of 25%, for instance, could theoretically either correspond to 1 out of 4 individuals, to 150/600, or to 2,000/8,000, which makes a great difference in the meaningfulness of the number "25%".

- The same problem occurs in absence/presence data (e.g. Table 1). Also here, we need to provide total numbers (n) for each taxon. A value of 50% "frequency of occurrence", for example, can correspond to a single larva, if the total n=2; or it might correspond to 500 larvae, if total n=1,000.

- Not being sufficiently familiar with mathmatical models, I cannot evaluate the meaningfulness of patterns in "Expected abundance/probability of occurrence" shown in Figs. 3-5, especially those for entire families. These graphs look nice, but I am not sure if they are sufficiently backed by the available data and the methods used in this study (see below). Some analytical statistics (e.g. ANCOVA) rather than descriptive models might be more appropriate to "predict" or "explain" variations in larval abundance (see Discussion, p. 15).

- Appendix S9 presents insufficient summary data of temperature, salinity and chlorophyll concentrations: Mean values ± SD are given for the 7 sampling dates, but no information on variations among the different stations, nor on differences between the two kinds of sampling. - In the second table, the 6 sampling stations are compared, but no information is given on seasonal or annual variation observed at each distance from the coast. Again, also information obtained from parallel samples taken from the surface and in greater depths is missing.

- In Appendix S10, it is unclear what "higher density" means. Also, this summary table shows only single larval density values (mean, maximum values, n?) obtained at different distances from the coast, but no information on seasonal and annual variation at each sampling station, nor on differences between surface and subsurface samples. Such detailed information should fit in an Appendix table, so that the reader could better evaluate the informative value of the available larval density data and understand the authors’ conclusions presented in the text. If these data are convincing, also the graphs showing "Expected abundance/probability of occurrence" would be better justified.

- Table 1, pp. 10-11: What is, in this context, a "heat map" (different shadings?)? - Overall stage numbers such as "ZI-ZVIII" or "ZI-ZIV, M": This is OK for rare species and those showing no clear tendencies. In some species, however, where sufficient material is available, it would be good also to compare the differential distribution of different larval stages. These could be grouped at least in categories like "early", maybe "intermediate", and "late" (stage numbers then given in parentheses). This would slightly expand the size of this table, but probably enhance its informational value.

Some details of the methods are unclear:

- p. 6, L 140: Were temperature, salinity, and chlorophyll concentrations measured only once per sampling station (only at the surface)? Or are there also records from greater depths (obtained by means of a CTD probe connected to plankton nets that were used to get oblique samples)?

- p. 6, LL 144-146: Why were the samples fractionated in two subsamples, if later "all larvae in the aliquots were identified", i.e. pooled? Or was only one fraction (= 1/2 of each sample) used? In the latter case, it would be weird that half of the information was discarded, although this paper was written 6 years after the end of the sampling programme, providing enough time for complete analyses of the samples. Clarify.

- p. 9, L 214: What is "high depths" (= great depths?), what depths are the authors referring to, and how were such temperature measurements done (see above: CTD probe attached to plankton nets)?

Minor points:

- p. 4, L 88: Something appears to be wrong here. The average discharge of the Amazon is not only"5.7 x 10^2 m^3/year" but >200 m^3/second, or 6,600 KM^3/year (cf. p. 5, L 120). Check.

- p. 5, L 118: Not all sampling intervals were "quarterly" but actually ranging from 2 - 4 months. Clarify.

- p. 4, L 77: Little typo: "harbirs" should be "harbours".

- Caption Fig. 1: after "... 233 km", add: ... "from the NE coast of Marajó Island"; this will clarify that the given distances were not referring to the coast of the mainland.

- We all know it, and after saying it in the title and Introduction of the paper, there’s no need to repeat several times that the ACS is "the largest estuarine / marine system in the world".

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Attachment

Submitted filename: PONE-D-21-16420_review.pdf

PLoS One. 2022 Aug 25;17(8):e0252695. doi: 10.1371/journal.pone.0252695.r002

Author response to Decision Letter 0


1 Nov 2021

Reviewer #1: General comments

The manuscript deals with the dispersion of Brachyura larvae in an area of the Amazon continental shelf under the influence of the estuarine plume of the Amazon River. Despite being a relevant topic and there is little information available on the subject, the manuscript presents some points that need to be better presented and explained before the manuscript can be published. My opinion is that the manuscript must be rejected in its present form.

Answer: After reading all the reviewers' comments we considered that many points really needed improvement/clarification. Thus, we are grateful for the reviewer's thorough attention and observations/notes and we hope the changes we made resolve all doubts and lack of clarity in the first version of the text. Since the offshore distribution of crab larvae in the Amazon estuary is very little known and considerable amounts of novel data were obtained in this study, we desire that this paper should eventually be published in an international journal such as Plos One.

Suggestions for Improvements

Major issues

- The manuscript does not have clear objectives and hypotheses.

- The presented methodology leaves several doubts about the adopted procedures.

Answer: We hope we have corrected these flaws in this second submission of the manuscript.

Pag. 6 line 138. Little information was mentioned about the acquisition of environmental variables, making it impossible to understand how the data were obtained. Data were collected only the surface layer? Other layers of the water column were sampled?

Would the environmental variables obtained in a single layer of the water column be sufficient to understand the complex patterns of larval dispersion on the continental shelf?

Answer: We collected a great set of quantitative data (larval densities, temperatures, salinities, chlorophyll-a), not only from 6 sampling stations differing in their distance from the coast but also from different seasons (7 expeditions in 2 years) and two different sampling depths (horizontal, oblique). We performed several statistical analyses and since we found no significant difference between sampling depths, we decided for pooled, especially those from surface and subsurface samples, and the information was not lost because clear patterns were presented throughout the results, making no sense to separate the samples that do not differ between depths.

On the other hand, the environmental variables were not measured in a single layer of the water column; they were measured using a CTD probe (Hydrolab DS 5) that collects data every 0.5 m. We have included paragraph detailing, hoping it became clearer.

Minor issues

Title: “Larval dispersal of Brachyura in the largest estuarine / marine system in the world”

The title of the manuscript does not completely agree with the focus of the manuscript.

Answer: Even though the reviewer argues against the title here, they also comment elsewhere: "The manuscript deals with the dispersion of Brachyura larvae in an area of the Amazon continental shelf under the influence of the estuarine plume of the Amazon River”. From our perspective, this might merely be a grammar issue, which in turn does not necessarily correspond to changes in content. Since the title length already complies with the 250 characters limit, we would rather keep the title as is.

Material and methods

Pag. 4. Line 86. What do the authors consider to be a rare and deep environment?

Answer: Conspicuous is better to describe, thanks for the observation. Rare because finding mesophotic reefs in an area under the influence of the largest river in the world, with high turbidity, is not common (and our samples coincided with this area) and deep referred to having samples along the water column and not just superficial but most of the work recorded with plankton in this region.

Pag. 6 line 138. The horizontal samplings were carried out during the daytime, at night time, in which tide? Sampling was standardized?

Answer: The collections were standardized and carried out in daytime during the syzygy tide (full or new moon).

Pag. 6 line. 144. What are the criteria used in choosing the fixed collection points? How was depth measured?

Answer: Horizontal and oblique hauls in each site at different coastal distances (23, 53, 83, 158, 198, and 233 km), were chosen because they are representative of regions under the greatest influence of the Amazon estuarine plume (23-83 km from the coast) and also to contemplate the great extension of the Continental Shelf (approximately 300 km) with the distance of 158-233 km with a predominance of oceanic waters.

Pag. 6. Line 142. “V'-shaped, covering up to 75 % of the local depth”. This collection procedure should be better explained.

Answer: Due to the strong undercurrents, the presence of the Great Amazon Reef System (GARS) in some of the places and fluid mud in others, we cannot drag the nets close to the bottom in this region. Thus, we chose to drag up to 75% of the depth of each location, which corresponded to approximately 10, 19, 34, 39, 53 and 80m depths off the coast to the slope. We inserted in the text - the …oblique depths ('V'-shaped, covering up to 75 % of the local depth, approximately 10, 19, 34, 39, 53 and 80m depths off the coast to the slope).

Pag. 7. Line 150. “Simultaneously, water temperature (ºC), salinity, and chlorophyll-a (μg / L) contents were measured, using a CTD probe (Hydrolab DS 5)”. Environmental variables were obtained from the surface layer? No data were obtained in other depths?

Answer: The environmental variables were not measured in a single layer of the water column; they were measured using a CTD probe (Hydrolab DS 5) that collects data every 0.5 m. We have included a paragraph detailing, hope it's clearer now.

Pag. 7 line 158. What keys were used by the authors to identify the different taxonomic levels? How the different stages of larval development were identified?

Answer: As described in the methodology, "All brachyuran larvae in the aliquots were dissected and identified to the lowest taxonomic level possible [1, 45–61] by observing the morphological parameters, such as the arrangement and number of spines and setae in the antennae, antennules, maxilliped, maxilla, abdomen, and telson, under an Axioscope Zeiss A1 optical microscope (Carl Zeiss, Oberkochen, Germany).” The identification keys are those present in the articles indicated: 1, 45-61. And all different stages of larval development were identified. If a certain stage does not appear in the results, it is because it did not occur in the sample. That is, all larval stages were identified if they occurred in the samples, as described in the text.

Results

In general, the analyzes presented do not clearly demonstrate the relationship of environmental factors in the distribution of larvae.

Answer: We stand for our statistical analysis, but we do agree that, perhaps, the contribution of each environmental factor to the final prediction of abundance per taxa was lacking. Thus, to clarify this issue, we included Table S12, where all the numbers there vary from 0 (not important for the predictions at all) to 1 (always important).

Pag. 10, line 237. It is not possible to verify how the estuarine plume affected the different sampling points throughout the sampling period.

Answer: We chose to present the data in such a way as to show the influence of the plume on each taxon, as detailed in Table 1 and Figures 6 and 7. Presenting these data organized by location would add one more table to the manuscript. Is it really necessary? It was a failure to not include figures 6 and 7, as they clearly indicate the plume's boundary. We hope that it became clearer now.

Discussion

Some points mentioned above about distribution models may affect manuscript discussion.

Answer: Although we keep the statistical analyses unchanged because we believe they are the most adequate and even refined in terms of data with a matrix full of zeros and distinct values, which is the case of data on larvae in plankton, the discussion was rewritten following the reviewer’s suggestions and we hope to have clarified better the work.

Reviewer #2

This study summarizes field distributions of Brachyuran crab larvae along the Amazon Continental Shelf. The authors describe larval dispersal of diverse taxa across both spatial (depth/distance offshore) and seasonal scales. To date, relatively few studies have reported extensive field distributions of Brachyura during larval development. Hence, this study provides a valuable contribution to better understanding their dispersal patterns. Please find my comments and suggestions below. Many of my comments are minor suggestions, although there are four major concerns that I hope the authors will address in revision.

Answer: Thank you very much for your appointments.

First, the phrase “larval dispersion” is used incorrectly and should most likely be replaced with “larval dispersal” throughout the manuscript. In ecology, dispersion indicates investigation of specific distribution patterns, e.g. random, clumped, or uniform, whereas “dispersal” indicates the movement of individuals, e.g. export vs. retention.

Answer: Ok, “dispersion" was replaced with "dispersal", thanks.

Second, the figures that show model results (Figs. 3 – 5) are missing key information, which make it difficult to confirm the authors’ interpretation of the data. I provided specific comments to this regard below.

Answer: Ok, we answered below each comment.

Third, the paper should include a summary of model outcomes in the results section to support statements made later in the discussion. For example, the authors state that salinity was a reliable predictor of larval dispersal, while temperature and chlorophyll-a were not; however, statistical support for this claim is lacking. Overall, I find it concerning that an extensive multi-model approach was described in the methods section, but there is little description of the outcomes in the results section (aside from Figs. 3 – 5, which require more detail in their respective captions).

Answer: Ok, we included the S12 Appendix fill this gap.

Fourth, the impact of the seasonal plume is a central point in the paper. However, statistical/graphical support is lacking (see my comment regarding lines 285 – 297 below). The authors reference Figs. 6 and 7 to support this analysis. However, these figures were not included in this submission. In summary, this study represents a valuable contribution to better understanding the dispersal of larval Brachyurans in coastal systems. However, I recommend that the concerns presented in this review be addressed prior to publication.

Answer: In fact, we forgot to attach the figures, it was our fault. They are attached now and with restructured sentences. We have also included a table of model results. We hope it has become clearer. Thanks for all your concerns.

Abstract

The importance of the Amazon River seasonal flow and plume is not mentioned until the end of the abstract. Opening the abstract with a sentence or two describing the system would help guide the reader through the results that are summarized just below.

Answer: Ok. We inserted the following sentence: “The Amazon Continental Shelf (ACS) is a complex habitat that receives a large annual freshwater discharge into the ocean, producing a superficial plume and carrying with it large amounts of nutrients to the continental shelf along thousands of kilometers and that sustaining a high biodiversity in the estuary–ocean continuum.”

Lines 31 – 33: This sentence runs on a bit. It would be useful to more clearly highlight the two objectives described: (1) to analyze the composition of larval Brachyuran crabs and (2) to predict the importance of environmental parameters in structuring their occurrence/abundance.

Answer: The sentence was rewritten. Thanks for the suggestion.

Line 33: “A total of 17,759 identified larvae are…” should be “A total of 17,759 identified larvae were…”

Answer: The word “are” was substituted for “were”. Thanks.

Line 41: “(> = 33.5)” should be “(≥ 33.5)”

Answer: It was changed, thanks.

Line 47: Remove “plankton”

Answer: It was excluded.

Introduction

Line 76: Do you mean “harbors”, rather than “habirs” here?

Answer: The correct word is "harbours".

Line 83: Why include “among others”?

Answer: It was excluded.

Lines 101 – 106: I suggest restructuring of this sentence. It might be useful to break it up into (1) parameters of larval composition/distribution and (2) how these relate to environmental profiles.The current organization is a bit convoluted.

Answer: Ok. The text was modified by:

“In this study, the larval period of Brachyura was evaluated regarding (1) parameters of larval composition/distribution and (2) how these relate to environmental profiles. The first parameters were analised by the larval dispersal extent related to the estuary/plume, and by the frequency of occurrence (FO) in the plume categories. The latter was predicted by the probability of occurrence (PO) and abundance for the temperature, salinity, and chlorophyll-a profiles in the ACS In this study, the larval period of Brachyura was evaluated regarding (1) parameters of larval composition/distribution and (2) how these relate to environmental profiles. The first item was analised by the larval dispersal extent related to the estuary/plume, and by the frequency of occurrence (FO) in the plume categories. The latter was predicted by the probability of occurrence (PO) and abundance for the temperature, salinity, and chlorophyll-a profiles in the ACS with a multimodel approach.”

Line 108: The “aquatic food chain” is an oversimplification. Consider using “food web” or

“trophic interactions” instead.

Answer: The “aquatic food chain” has been changed to “food web”.

Line 111: I’m not sure what is meant by “…should be distributed on their parental populations…” Are you expecting close proximity to parental populations? Given the common export strategy of estuarine crabs, would this be likely for all Brachyuran crabs in the region?

Answer: Yes, we were expecting close proximity to parental populations, be it from the indentations of the coastal zone or the area of the Great Amazon Reef System (gars). We cannot know for sure at this point, but future studies might use DNA analyses from larvae and from adults in these areas.

Methods

Line 122: “July/2013 to January/2015” should be “July 2013 to January 2015”

Answer: Done. Thanks.

Line 143: “haulsin” should be “hauls in”

Answer: The word “haulsin” was changed to “hauls in”

Lines 169 – 170: The density unit should have not a period after larvae, and the sentence could be restructured for clarity, e.g. “Density (larvae m-3) was estimated by dividing Brachyuran larval abundance by the volume filtered through the plankton net.”

Answer: The sentence was restructured.

Line 176: “…of each species larvae…” should be “…of each larval species…” or “…of each species of larvae”

Answer: The sentence “…of each species larvae” was changed for “…of each larval species”

Lines 214 – 220: Citation(s) to support that this threshold is “widely used”?

Answer: We decided to rephrase that sentence that now reads:

“It is noteworthy that our multimodel and information-theoretical approach does not allow (and it would be meaningless) to report p-values of any kind [63,68], thus we used the total weight of each variable across all plausible models, varying from 0 (never important) to 1 (always important), as a measure of influence on the predictions. For clarity, we considered a model to be plausible if its Δ_j< 2, which, within the information-theoretical context, means that there is strong empirical evidence that the model is a good approximation to reality (low loss of information) compared to the pool of all models under consideration (see 63;66-67, for instance)”

Results

Line 229 and 233: Replace “amplitude” with “range”

Answer: It was replaced.

Line 230: The parenthetical “begin” should be “beginning” in both occurrences here.

Answer: It was replaced.

Line 238: Remove the “/” between month and year

Answer: It was excluded.

Line 272: Add “and” before Pinnixa

Answer: It was added.

Line 323 – 336: I think that the seasonal plume analysis discussed here is important. However, this section requires visual, model, and/or statistical support. Figure 6 and 7 are referenced in this paragraph but these were not included in the submission. In addition, several of the statements made cannot be supported by Table 1 or Figs. 3 – 5, which do not include seasonal information.

Answer: You are right. The figures have now been included and we have added both N and density detailing in relation to the SS and O drags (S10 and S11 Appendix), so we hope this flaw has been corrected.

Lines 350 – 352: To make this statement, more support is needed in the results section (see previous comment regarding lines 320 – 334).

Answer: With the inclusion of tables S10 and S11 detailing each haul, it is possible to visualize the mentioned statement.

Line 360: Should be “Brachyuran larvae”

Answer: It was corrected.

Lines 363 – 365: Where are the model results that support this statement?

Answer: To clarify the contribution of each covariable for the averaged predictions, we included Table S12. All the numbers in that table vary from 0 (not important for the predictions at all) to 1 (always important).

Line 468: Remove “Anyway”

Answer: It was removed.

Line 496: Is “particular” the best word here?

Answer: No. It was changed by ‘peculiar'.

Line 511: Why change the subtitle structure at this point? All others list the family only.

Answer: You’re right. It was corrected.

Line 539: Same as above – why alter the subtitle structure?

Answer: It was corrected.

Line 541: “larval” before zoea is a bit redundant

Answer: You’re right. It was excluded.

Line 563: Either add a semicolon after “…(Herbst, 1803)” or start a new sentence, i.e. “The

latter is…” The structure of species name reporting also switches to parentheticals here:

“Calappa gallus (Herbst, 1803)” rather than the previous “Calappa sulcata Rathbun, 1898”. For consistency, use the same format throughout.

Answer: A new sentence “The latter is…” has been started. The Calappa gallus species was revised, so the descriptor is in parentheses.

Line 622: “And” should not be capitalized.

Answer: It was corrected.

Table and Figures

Table 1 only shows the frequency of occurrence for one month/year for each group. Based on the supplemental figures, I assume this is the timepoint with the highest density for each individual taxon. If so, indicate this in the table caption. I also suggest characterizing the colors of the heat map described, i.e. frequency of occurrence increases in order of white, light gray, dark gray, and black. Also, “S” is used as an abbreviation for salinity and for sub-superficial sample. Perhaps, it would be clearer to change the latter to “SS”.

Answer: ok, it’s done, thanks!

Fig. 1 caption: It would be useful to identify that the distances listed are kilometers offshore, e.g. “…(23 km, 53 km, 83 km, 158 km, 198 km, and 233 km offshore).”

Answer: Ok, it was included.

Figs. 3 – 5: More information is needed in the caption, which could also be accomplished by adding a legend. For example, what do the different colors represent – different models? Do the shaded regions around each trendline indicate a confidence interval of some sort? Are the y-axis values shown expected abundance per some unit of volume? The methods state that the “final prediction for the expected abundance of each group is given by the product between its predicted abundance and the PO in the reference scenario”. However, the notation in the y-axis label indicates that you are showing a ratio of predicted abundance / PO, rather than the product.

Answer: We have added the proper legends to clarify these issues (please see the updated figures and the legend texts below). The expected abundance was predicted using the median volume and this information was added in the Methods/Data Analysis section. There was a typo in the y-axis label in Figs 3-5, that now reads “Expected abundance*probability of occurrence” (i.e., a multiplication rather than a ratio), as was already correctly stated in the methods.

Fig 3. Final expected abundance (product between the expected abundance and the probability of occurrence) of Brachyura larvae (A: Grapsidae; B: Panopeidae; C: Pinnotheridae) according to the distance from the estuary and net depth in different salinities. The shaded regions refer to the weighted 95% confidence interval. All predictions used the observed median values of temperature (28.4 ºC), chlorophyll-a (7.34 µg / L) and water volume (278.3 m–3).

Fig 4. Final expected abundance (product between the expected abundance and the probability of occurrence) of Brachyura larvae (D: Portunidae; E: Ocypodidae; F: A. rubripes) according to the distance from the estuary and net depth in different salinities. The shaded regions refer to the weighted 95% confidence interval. All predictions used the observed median values of temperature (28.4 ºC), chlorophyll-a (7.34 µg / L) and water volume (278.3 m–3).

Fig 5. Final expected abundance (product between the expected abundance and the probability of occurrence) of Brachyura larvae (G: Calappa; H: Leucosiidae) according to the distance from the estuary and net depth in different salinities. The shaded regions refer to the weighted 95% confidence interval. All predictions used the observed median values of temperature (28.4 ºC), chlorophyll-a (7.34 µg / L) and water volume (278.3 m–3).

Reviewer #3

Review: "Larval dispersal of Brachyura in the largest estuarine / marine system in the world", submitted to PlosOne by F.A. de Lima et al.

This paper describes seasonal variations and regional distribution patterns in the occurrence of brachyuran crab larvae studied in a transect from 23 to 233 km off the NE coast of Marajó Island, Amazon estuary, Brazil. Each transect comprised 6 sampling stations visited from July 2013 to January 2015 during 7 expeditions in approximately quarterly intervals (actually every 2-4 months). Since the offshore distribution of crab larvae in the Amazon estuary is very little known and considerable amounts of novel data were obtained in this study, this paper should eventually be published in an international journal such as Plos One. Before it can be accepted, however, it should undergo a thorough revision and restructuring. Most of my concerns are related to the description of the methods, the presentation of the data, and the detailed discussion of higher taxa (mostly at the family level). While I feel that some aspects are given too much attention, others are neglected or remain unclear (see below). - I suggest that the authors should carefully consider the following points:

- General organization of this paper: It appears to me (especially in the Abstract and in the Discussion section), that the authors put far too much emphasis on the systematic position of the identified larvae rather than to ecological groups and reproductive strategies. For some of the 25 crab taxa identified in this study, the benthic juvenile and adult life-history stages are well known as to their salinity requirements, living and reproducing either in estuarine (i.e. brackish) coastal habitats or in offshore (marine) waters with higher salinities. The data gathered in this field study, especially those of horizontal and vertical distribution of crab larvae (comparing parallel samples from surface and sub-surface water) should therefore be looked at in more detail, mainly in the context of export and retention strategies (for aims of this study, cf. p. 5, L 109). Where relationships between known life-history strategies and the taxonomical position are known or presumed (e.g. Ocypodidae, Panopeidae, Grapsidae, Sesarmidae), such relationships should of course briefly be discussed. Mainly, however, ecological, reproductive and developmental traits of only the most predominant and better known taxa should be discussed in more detail (where possible, at the species level). This analysis should consider also the quantitative data of larval density in relation to temperature, salinity and chlorophyll concentration. For all rare and lesser known taxa including unidentified larvae, the absence/presence data presented in Table would be largely sufficient as a preliminary set of information. In addition, detailed quantitative data for all taxa should be presented as supplementary material (see comments below).

Answer: Thanks. We hope to have filled these gaps in the revised version.

- I am aware that a more detailed presentation and a more convincing interpretation of the data will require more space in this paper. However, this expansion can be fully compensated by a radical (and necessary!) reduction of the Discussion (almost 16 pp.) and, as a consequence, of the number of references (now 177!). In its present form, this section represents an extended review which, to a great extent, is dealing with larval morphology and taxonomy, rather than an adequate discussion of the data that are actually shown here.

Answer: Okay, the Discussion and references have been shortened and the requested detail has been included as there is indeed supporting data.

- The authors collected a great set of quantitative data (larval densities, temperatures, salinities, chlorophyll a), not only from 6 sampling stations differing in their distance from the coast, but also from different seasons (7 expeditions in 2 years) and two different sampling depths (horizontal, oblique). In the documentation of the data, however, it seems that these data were often pooled, especially those from surface and subsurface samples, so that much potentially valuable information is lost.

Answer: Ok, we have detailed the tables to show the abundance in the two different sampling depths.

- In the supplementary illustrations (bar charts in Figs. S1 - S8), larval densities are given as mean values without SD and total numbers (n). It remains unclear whether these values were obtained from surface or subsurface samples, or pooled numbers from both.

Answer: The larval densities are given in S1-S8 as sum of total in each category. The N and the density obtained from surface or subsurface samples are presented now in S10 and S11 Appendix.

- For the assessment of different frequencies of successive larval stages (cake charts in Figs. S1 - S8), it is necessary to add total numbers. A fraction of 25%, for instance, could theoretically either correspond to 1 out of 4 individuals, to 150/600, or to 2,000/8,000, which makes a great difference in the meaningfulness of the number “25%".

Answer: Ok, but the charts/figures become very busy and difficult to see. We resolved this question by detailing the data obtained by hauls, months and distance from the coast in tables.

- The same problem occurs in absence/presence data (e.g. Table 1). Also here, we need to provide total numbers (n) for each taxon. A value of 50% "frequency of occurrence", for example, can correspond to a single larva, if the total n=2; or it might correspond to 500 larvae, if total n=1,000.

Answer: Ok. This was done in tables S10 and S11 in the appendix.

- Not being sufficiently familiar with mathematical models, I cannot evaluate the meaningfulness of patterns in "Expected abundance/probability of occurrence" shown in Figs. 3-5, especially those for entire families. These graphs look nice, but I am not sure if they are sufficiently backed by the available data and the methods used in this study (see below). Some analytical statistics (e.g. ANCOVA) rather than descriptive models might be more appropriate to "predict" or "explain" variations in larval abundance (see Discussion, p. 15).

Answer: There was a typo in the y-axis label in Figs 3-5, that now reads “Expected abundance*probability of occurrence” (i.e., a multiplication rather than a ratio). We have conducted a much more robust statistical analysis than a simple ANCOVA: since our data comprised of counts (number of larvae), many of which were zeros, we used a Hurdle-Poisson approach, which allowed us to separate the expected abundance from the probability of occurrence. In fact, we used many different Hurdle-Poisson models (some of which indeed had an ANCOVA-like predictor) and the results presented were the weighted average (by Akaike weights) predictions given by each of the fitted models. Thus, our models are far from purely descriptive – they rely on a strong, inferential statistical background, avoiding both, unrealistic normality assumptions (as in an ANCOVA model) and p-value based hypothesis testing (which have been subjected to its own scrutiny recently). To clarify the contribution of each covariable for the averaged predictions and to avoid the misinterpretation of a merely descriptive model, we included Table S12 Appendix. All the numbers in that table vary from 0 (not important for the predictions at all) to 1 (always important), which, we believe, is more informative than p-values based on single (“best”) models. Despite the relative simplicity of single models, time and time again, they are not evaluated regarding to goodness-of-fit metrics, residual analysis, and other model validation techniques that are paramount for the correctness and trustworthiness of the p-values. Hence, hypothesis testing using an ANCOVA model in our case would provide straightforward, but completely wrong, results due to the nature of our discrete, zero-altered data. Conversely, we could provide the results of an extended ANODEV based on the “best” Hurdle-Poisson model [similar to what we did in Regional Studies in Marine Science 47 (2021) 101960: https://doi.org/10.1016/j.rsma.2021.101960], but they would be tedious when evaluating several taxa simultaneously. Finally, we tried our best to provide an interesting, computer-intensive data analysis – one for which we stand –, pointing to alternatives to the use of the, often flawed, p-values.

- Appendix S9 presents insufficient summary data of temperature, salinity and chlorophyll concentrations: Mean values ± SD are given for the 7 sampling dates, but no information on variations among the different stations, nor on differences between the two kinds of sampling.

Ok, but we included Table S12 for clarified the contribution of each environmental factor to the final prediction of abundance per taxa, and cited in the results this sentence: "…for detailed environmental variables in this region, see [27: doi:10.1017/S0025315421000308]”.

In the second table, the 6 sampling stations are compared, but no information is given on seasonal or annual variation observed at each distance from the coast. Again, also information obtained from parallel samples taken from the surface and in greater depths is missing.

Answer: Ok, it was detailed.

- In Appendix S10, it is unclear what "higher density" means. Also, this summary table shows only single larval density values (mean, maximum values, n?) obtained at different distances from the coast, but no information on seasonal and annual variation at each sampling station, nor on differences between surface and subsurface samples. Such detailed information should fit in an Appendix table, so that the reader could better evaluate the informative value of the available larval density data and understand the authors’ conclusions presented in the text. If these data are convincing, also the graphs showing "Expected abundance/probability of occurrence" would be better justified.

Answer: Ok, it was detailed.

- Table 1, pp. 11-12: What is, in this context, a "heat map" (different shadings?)? - Overall stage numbers such as "ZI-ZVIII" or "ZI-ZIV, M": This is OK for rare species and those showing no clear tendencies. In some species, however, where sufficient material is available, it would be good also to compare the differential distribution of different larval stages. These could be grouped at least in categories like "early", maybe "intermediate", and "late" (stage numbers then given in parentheses). This would slightly expand the size of this table, but probably enhance its informational value.

Answer: This is the only change out of all of the reviewer's excellent suggestions that we do not agree with. Manuscripts that describe in detail which larval stage occur in a particular location are rare, and changing the data that discriminates which stages were found to group them into categories such as "early", "intermediate", and "late" would reduce this valuable information/data. At the same time, it is redundant to group and then put in parentheses the detailed information, which would generate more lines in a table with a lot of detail, as the reviewer himself recognizes. Therefore, we chose to maintain the initial presentation that does change the result at all while being more objective and without artificial categories.

Some details of the methods are unclear:

- Pag. 7, line 150: Were temperature, salinity, and chlorophyll concentrations measured only once per sampling station (only at the surface)? Or are there also records from greater depths (obtained by means of a CTD probe connected to plankton nets that were used to get oblique samples)?

Answer: Abiotic data were obtained in the surface layer and along the water column by a CTD probe (Hydrolab DS 5), which recorded the temperature, salinity and chlorophyll-a at every 0.5 meters of depth. These data in full were used in the mathematical models, without clusters.

- Pag. 7, lines 157-161: Why were the samples fractionated in two subsamples, if later "all larvae in the aliquots were identified", i.e. pooled? Or was only one fraction (= 1/2 of each sample) used? In the latter case, it would be weird that half of the information was discarded, although this paper was written 6 years after the end of the sampling programme, providing enough time for complete analyses of the samples. Clarify.

Answer: Brachyura is one of the most abundant groups in Amazonian zooplankton samples and occurred in high numbers in our samples when compared to other Decapoda. Thus, it was numerically and humanly unfeasible to identify all the individuals of 84 samples with 500mL each, considering that the identification is thorough and done individually, with dissection of the appendices for identification under a microscope. Thus, we chose to subsample all samples in aliquots of 250mL each, which reduced the number of larvae to half without compromising the representativeness of the group. All larvae of the 84 250mL aliquots were identified, totaling 17,759 individuals, and this number was multiplied by the subsampling factor (2) for subsequent calculation of density and elaboration of models.

- Pag. 10, line 231: What is "high depths" (= great depths?), what depths are the authors referring to, and how were such temperature measurements done (see above: CTD probe attached to plankton nets)?

Sorry, the correct is "great depths”. It was a translation problem, thank you.

Minor points:

- Pag. 4, line 87: Something appears to be wrong here. The average discharge of the Amazon is not only"5.7 x 10^2 m^3/year" but >200 m^3/second, or 6,600 KM^3/year (cf. p. 5, L 120). Check.

Answer: You’re right. The correct average is 5.7 x 1012 m³/year. Thanks.

- Pag. 6, line 122: Not all sampling intervals were "quarterly" but actually ranging from 2 - 4 months. Clarify.

Yes, not “quarterly" but 2-4 months. It was changed by: "We sampled in six different locations along the coastal area of Ilha do Marajó to near the slope, from 23 to 233 km away from the coast (Fig. 1), and ranging from 2-4 months from July 2013 to January 2015."

- Pag. 4, line 76: Little typo: "harbirs" should be "harbours".

Answer: You’re right. The correct word is harbours.

- Caption Fig. 1: after "... 233 km", add: ... "from the NE coast of Marajó Island"; this will clarify that the given distances were not referring to the coast of the mainland.

Answer: Thanks, it was included.

- We all know it, and after saying it in the title and Introduction of the paper, there’s no need to repeat several times that the ACS is "the largest estuarine / marine system in the world".

Answer: Ok, it was excluded.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Atsushi Fujimura

27 Jan 2022

PONE-D-21-16420R1Larval dispersal of Brachyura in the largest estuarine / marine system in the worldPLOS ONE

Dear Dr. de Lima,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Mar 13 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Atsushi Fujimura

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

In addition to Comments to the Author below, one of the reviewers provided the following suggestion, and I agree with that.

There is just one (really minor!) point, where I do not agree with a change of phrasing suggested by Rev. #2: "Line 176: “...of each species larvae...” should be “...of each larval species...” or “...of each species of larvae” . - Answer: The sentence “...of each species larvae” was changed for “...of each larval species".

The original phrasing was in fact a little bit awkward in style (actually, only an apostrophe was lacking after species’), but it was semantically unambiguous. In my opinion, a "larval species" (as suggested by the reviewer and adopted by the authors) would be something like an axolotl, i.e. a species that retains a larval form throughout its life. This is not the case in crabs. - Similarly, a "species of larvae" does not exist. There are only larvae that are described and assigned to an already known species (or higher taxon) that had previously been described as an adult form. The description of larvae as supposedly different species occurred typically in the 19th century when complex life histories were largely unknown.

If the Editors and the authors agree with me, I suggest to rephrase p. 8, Line 176 as follows: "The frequency of larval occurrence (FO) was given for each species as a x 100/A, where ...".

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: (No Response)

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: I Don't Know

Reviewer #3: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: The authors have made a significant effort to revise their original manuscript, including satisfactory responses to my major concerns. The revision also benefits from a clearer description of the sampling protocol and a more concise discussion section. Below, I describe minor suggestions for final revision of this manuscript.

Line 62: “Dispersion” is used but I think the authors are commenting on “dispersal” strategies, i.e., larval transport rather than distribution patterns.

Line 103: “analised” should be “analyzed”

Lines 150 – 153: Was the CTD probe attached to the plankton net or were vertical CTD casts done to a particular depth just before or after plankton collection? It is more common to deploy vertical CTD casts just prior to plankton collection, while the ship is stationary. However, the authors state that the CTD “was used to get oblique samples”, implying that the CTD probe was towed.

Line 323: Pinnixa sp. is cited here but this species’ family (Pinnotheridae) is shown in Figure 6B. Why refer to only one species in this family, when the visual evidence provided summarizes the entire family?

Lines 323 – 328: This statement suggests that larvae in families represented by Fig. 6A, 6B, 6C, 6D, and 7H were concentrated in the mid and outer continental shelf during time of greatest discharge (May) and in coastal areas during time of lowest discharge (October). I’m having a hard time seeing this trend in Fig. 7H (Leucosiidae); the greatest density appears to be in the mid continental shelf (158 km) in October.

Lines 328 – 331: I see support for Ocypodidae (Fig. 7A) dispersal from coast to offshore during period of greater plume discharge, but I do not follow the retraction comment. The abundance of this family just appears to be lower overall in October. Couldn’t this just be from seasonal changes in reproduction, rather than reduced plume flushing?

Line 607: Again, “dispersion” or “dispersal”? Discharge more directly affects dispersal, but it is possible that the authors are commenting on distribution patterns (dispersion) of estuarine families.

Table 1 still includes “S” as a haul abbreviation for sub-superficial samples. This is confusing, as “S” is defined as salinity in the table’s caption.

Tables S10 and S11: Table S10 shows distance/location of larvae, while Table S11 shows seasonal changes. Are the larval counts (N and density) combined in these? In other words, are the seasonal densities in Table S11 total or mean values for all distances (Table S10)? This should be clearly defined in the table captions. Also, does “N” represent number of larvae collected? This should also be defined in the table captions.

I suggest adding the Table S12 caption to the supplemental document. Currently, it is only included in the manuscript text.

Reviewer #3: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Reviewer #3: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2022 Aug 25;17(8):e0252695. doi: 10.1371/journal.pone.0252695.r004

Author response to Decision Letter 1


17 Mar 2022

Editor: General comments

There is just one (really minor!) point, where I do not agree with a change of phrasing suggested by Rev. #2: "Line 176: “...of each species larvae...” should be “...of each larval species...” or “...of each species of larvae”. - Answer: The sentence “...of each species larvae” was changed for “...of each larval species".

The original phrasing was in fact a little bit awkward in style (actually, only an apostrophe was lacking after species’), but it was semantically unambiguous. In my opinion, a "larval species" (as suggested by the reviewer and adopted by the authors) would be something like an axolotl, i.e. a species that retains a larval form throughout its life. This is not the case in crabs. - Similarly, a "species of larvae" does not exist. There are only larvae that are described and assigned to an already known species (or higher taxon) that had previously been described as an adult form. The description of larvae as supposedly different species occurred typically in the 19th century when complex life histories were largely unknown.

If the Editors and the authors agree with me, I suggest to rephrase p. 8, Line 176 as follows: "The frequency of larval occurrence (FO) was given for each species as a x 100/A, where ..."

Answer: Yes, we agree. We agree with the editor's general comments “The original phrasing was, in fact, a little bit awkward in style (actually, only an apostrophe was lacking after species’), but it was semantically unambiguous. The sentence was restructured: "The frequency of larval occurrence (FO %) was given for each species as FO = a × 100/A, where a = number of samples containing the species, and A = the total number of samples." Thanks for your valuable suggestion.

Reviewer #2: General comments

The authors have made a significant effort to revise their original manuscript, including satisfactory responses to my major concerns. The revision also benefits from a clearer description of the sampling protocol and a more concise discussion section. Below, I describe minor suggestions for final revision of this manuscript.

Answer: We are grateful for the reviewer's thorough attention and observations/notes and we hope this paper is ready to be published in Plos One.

Suggestions for Improvements

Line 62: “Dispersion” is used but I think the authors are commenting on “dispersal” strategies, i.e., larval transport rather than distribution patterns.

Answer: The word “dispersion” was substituted for “dispersal”. Only in the last paragraph of the discussion the word “dispersion" was maintained because it deals with distribution patterns. Thanks for the suggestion.

Line 103: “analised” should be “analyzed”

Answer: The word was corrected. Thanks.

Lines 150 – 153: Was the CTD probe attached to the plankton net or were vertical CTD casts done to a particular depth just before or after plankton collection? It is more common to deploy vertical CTD casts just prior to plankton collection, while the ship is stationary. However, the authors state that the CTD “was used to get oblique samples”, implying that the CTD probe was towed.

Answer: Before plankton collection the CTD deploys vertical casts while the ship is stationary. The text was misspelled and we changed it to: Before plankton samples, the environmental variables water temperature (ºC), salinity, and chlorophyll-a (µg / L) contents were obtained using a CTD probe (Hydrolab DS 5) that was used to get samples every 0.5 meters. Oblique was one of the plankton trawlers, not the CTD.

Line 325: Pinnixa sp. is cited here but this species’ family (Pinnotheridae) is shown in Figure 6B. Why refer to only one species in this family, when the visual evidence provided summarizes the entire family?

Answer: Only Pinnixa sp. was inserted because Austinixa occurs only up to 158km and D. crinitichelis only close to the GARS areas, and does not vary regarding the plume. We cannot generalize this conclusion to D. Crinitichelis because it had a very specific occurrence.

Lines 325 – 330: This statement suggests that larvae in families represented by Fig. 6A, 6B, 6C, 6D, and 7H were concentrated in the mid and outer continental shelf during time of greatest discharge (May) and in coastal areas during time of lowest discharge (October). I’m having a hard time seeing this trend in Fig. 7H (Leucosiidae); the greatest density appears to be in the mid continental shelf (158 km) in October.

Answer: The Reviewer is correct. Leucosiidae density is higher on the mid continental shelf (158 km), while only Grapsidae (6A), Panopeidae (6B), Pinnotheridae (6C), and Portunidae (6D) follow the freshwater plume. We restructure as follows:

“During the highest flow period, Pinnixa sp., Grapsidae, Panopeidae and Portunidae larvae were concentrated in the mid and outer continental shelf since the freshwater plume “pushes” the larvae to locations away from the coast. The opposite was observed during the lowest outflow, these larvae concentrated near coastal areas (23 and 53 km from the coast) due to the lower freshwater outflow entering the ACS (Figs 6 and 7, S10 and S11 Tables).

Lines 331 – 334: I see support for Ocypodidae (Fig. 7A) dispersal from coast to offshore during period of greater plume discharge, but I do not follow the retraction comment. The abundance of this family just appears to be lower overall in October. Couldn’t this just be from seasonal changes in reproduction, rather than reduced plume flushing?

Answer: The Reviewer is correct, we agree. The abundance of this family is greater in the highest flow (May), when there is a reproduction peak. The inclusion of the paragraph: “Furthermore, few taxa were not affected by the Amazon plume. Leucosiidae larval density was higher on the mid continental shelf (158 km), while the density of Ocypodidae is also higher at 158 km in the highest flow (May), decreases in lowest flow period (October).”

Line 609: Again, “dispersion” or “dispersal”? Discharge more directly affects dispersal, but it is possible that the authors are commenting on distribution patterns (dispersion) of estuarine families.

Answer: Reviewer 2 is right. We are commenting on the distribution patterns (dispersion) of estuarine families. Thus, we kept “dispersion” on line 607, and “dispersal” elsewhere.

Tables

Table 1: Still includes “S” as a haul abbreviation for sub-superficial samples. This is confusing, as “S” is defined as salinity in the table’s caption.

Answer: The “SS” abbreviation was kept to identify the sub-surface samples, as it is actually not necessary to abbreviate the word salinity, as it causes confusion with the SS of the Surface Drag. We chose to keep salinity in full and abbreviate only the type of drag. S for salinity was kept only in table S12 as there is no mention of drag in this case.

Tables S10 and S11: Table S10 shows distance/location of larvae, while Table S11 shows seasonal changes. Are the larval counts (N and density) combined in these? In other words, are the seasonal densities in Table S11 total or mean values for all distances (Table S10)? This should be clearly defined in the table captions. Also, does “N” represent number of larvae collected? This should also be defined in the table captions.

Answer: S10 and S11 contain the same larval N, which corresponds to the total number of larvae collected by location (S10) and by month (S11). Thus, for the same group, for example Calappa sp. collected in the SS trawl throughout the study period, the total N is equal to 08 larvae, being (4+2+2) at 83km, 158km and 198km (S10) and (6+2) May and October (S11). In S10, the density corresponds to the sum of the density (and not the average because the data do not have a normal distribution, and the average is not a good estimator) at that location during the entire sampling period. In S11, on the other hand, it corresponds to the sum of all densities of each group in that particular month, regardless of location.

Table S12: I suggest adding the Table S12 caption to the supplemental document. Currently, it is only included in the manuscript text.

Answer: It was added.

We are immensely grateful for the careful revision by the reviewers, which has substantially improved our work.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Atsushi Fujimura

21 Apr 2022

Larval dispersal of Brachyura in one of the largest estuarine / marine systems in the world

PONE-D-21-16420R2

Dear Dr. de Lima,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Atsushi Fujimura

Academic Editor

PLOS ONE

Acceptance letter

Atsushi Fujimura

6 May 2022

PONE-D-21-16420R2

Larval dispersal of Brachyura in one of the largest estuarine / marine systems in the world

Dear Dr. de Lima:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Atsushi Fujimura

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Density of larval stages of Calappa sp., Goniopsis cruentata, and Grapsidae n. id. over the months in ACS.

    (TIF)

    S2 Fig. Density of larval stages of Pachygrapsus gracilis, Leucosiidae n. id., and Persephona spp. over the months in ACS.

    (TIF)

    S3 Fig. Density of larval stages of Gelasiminae 1, 2 and 3 over the months in ACS.

    (TIF)

    S4 Fig. Density of larval stages of Gelasiminae n. id., Leptuca cumulanta, and Minuca rapax over the months in ACS.

    (TIF)

    S5 Fig. Density of larval stages of Uca maracoani, Ucides cordatus and Hexapanopeus spp. over the months in ACS.

    (TIF)

    S6 Fig. Density of larval stages of Panopeus lacustris, Panopeus sp., and Austinixa sp. over the months in ACS.

    (TIF)

    S7 Fig. Density of larval stages of Dissodactylus crinitichelis, Pinnixa sp., and Achelous spp. over the months in ACS.

    (TIF)

    S8 Fig. Density of larval stages of Callinectes spp., Portunidae n. id., and Armases rubripes over the months in ACS.

    (TIF)

    S1 Table. Descriptive statistical (minimum, maximum, mean and standard deviation) of environmental parameters (temperature, salinity and chlorophyll-a) in relation to months and distance from the coast on the Amazon Continental Shelf.

    (DOCX)

    S2 Table. Larval composition, N total and sum of density (larvae m-3, in parenthesis) of Brachyura in each sampling sites on the Amazon Continental Shelf.

    “SS” is used as an abbreviation for sub-superficial sample and "O" to oblique hauls.

    (DOCX)

    S3 Table. Larval composition, N total and sum of density (larvae m-3, in parenthesis) of Brachyura in each expedition on the Amazon Continental Shelf.

    “SS” is used as an abbreviation for sub-superficial sample and "O" to oblique hauls.

    (DOCX)

    S4 Table. Variable influence on the predicted abundances (sum of the corresponding Akaike weights) across plausible models (AIC difference threshold less or equal to 2).

    The values vary from 0 (never important) to 1 (always important). PO: Probability of Occurrence; A: Expected Abundance. FND: Fishing Net Depth; S: Salinity; D: Distance from the coast; C: Chlorophyll-a; T: Temperature. The number “two” in their corresponding superscript stands for the variable squared value.

    (DOCX)

    Attachment

    Submitted filename: PONE-D-21-16420_review.pdf

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES