Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2021 May 6;16(5):e0251027. doi: 10.1371/journal.pone.0251027

Red List assessment of amphibian species of Ecuador: A multidimensional approach for their conservation

H Mauricio Ortega-Andrade 1,2,*, Marina Rodes Blanco 1, Diego F Cisneros-Heredia 2,3, Nereida Guerra Arévalo 1, Karima Gabriela López de Vargas-Machuca 4,5, Juan C Sánchez-Nivicela 2,3,6, Diego Armijos-Ojeda 7, José Francisco Cáceres Andrade 8, Carolina Reyes-Puig 2,3, Amanda Belén Quezada Riera 9, Paul Székely 7, Octavio R Rojas Soto 10, Diana Székely 7, Juan M Guayasamin 11, Fausto Rodrigo Siavichay Pesántez 12, Luis Amador 13, Raquel Betancourt 2, Salomón M Ramírez-Jaramillo 5, Bruno Timbe-Borja 9, Miguel Gómez Laporta 5, Juan Fernando Webster Bernal 14, Luis Alfredo Oyagata Cachimuel 14, Daniel Chávez Jácome 13, Valentina Posse 7, Carlos Valle-Piñuela 14, Daniel Padilla Jiménez 14, Juan Pablo Reyes-Puig 2,15, Andrea Terán-Valdez 16, Luis A Coloma 16, Ma Beatriz Pérez Lara 2, Sofía Carvajal-Endara 16, Miguel Urgilés 2, Mario H Yánez Muñoz 2
Editor: Stefan Lötters17
PMCID: PMC8101765  PMID: 33956885

Abstract

Ecuador is one of the most biodiverse countries in the world, but faces severe pressures and threats to its natural ecosystems. Numerous species have declined and require to be objectively evaluated and quantified, as a step towards the development of conservation strategies. Herein, we present an updated National Red List Assessment for amphibian species of Ecuador, with one of the most detailed and complete coverages for any Ecuadorian taxonomic group to date. Based on standardized methodologies that integrate taxonomic work, spatial analyses, and ecological niche modeling, we assessed the extinction risk and identified the main threats for all Ecuadorian native amphibians (635 species), using the IUCN Red List Categories and Criteria. Our evaluation reveals that 57% (363 species) are categorized as Threatened, 12% (78 species) as Near Threatened, 4% (26 species) as Data Deficient, and 27% (168 species) as Least Concern. Our assessment almost doubles the number of threatened species in comparison with previous evaluations. In addition to habitat loss, the expansion of the agricultural/cattle raising frontier and other anthropogenic threats (roads, human settlements, and mining/oil activities) amplify the incidence of other pressures as relevant predictors of ecological integrity. Potential synergic effects with climate change and emergent diseases (apparently responsible for the sudden declines), had particular importance amongst the threats sustained by Ecuadorian amphibians. Most threatened species are distributed in montane forests and paramo habitats of the Andes, with nearly 10% of them occurring outside the National System of Protected Areas of the Ecuadorian government. Based on our results, we recommend the following actions: (i) An increase of the National System of Protected Areas to include threatened species. (ii) Supporting the ex/in-situ conservation programs to protect species considered like Critically Endangered and Endangered. (iii) Focalizing research efforts towards the description of new species, as well as species currently categorized as Data Deficient (DD) that may turn out to be threatened. The implementation of the described actions is challenging, but urgent, given the current conservation crisis faced by amphibians.

Introduction

One of the main aims of conservation biology is to assess, understand, and mitigate threats to biodiversity. The International Union for Conservation of Nature (IUCN) Red List of Threatened Species is a powerful tool that allows not only to estimate species extinction risks but also to prioritize conservation efforts [1]. Red List Assessments are widely used by experts on several groups of plants and animals worldwide, as it applies standardized methods to assess threats and extinction risk, based on relevant quantitative and qualitative criteria [13].

Amphibians are one of the most diverse vertebrate groups in the Neotropical region [4]. In addition to presenting an extraordinary richness specific to each ecosystem, they are one of the most threatened taxa [5]. Their ectothermy makes them particularly vulnerable to environmental changes, mainly related to temperature and humidity, but also to infectious diseases [68]. Habitat loss, climate change, and diseases represent important threats to their populations [6, 911].

Ecuador is one of the countries with the highest number of amphibian species [1215]. Ecuadorian amphibians are considered among the most threatened in South America, due to increased rates of habitat loss and deforestation for cattle raising, agriculture, mining, and oil exploitation [1621]. Some historically conspicuous genera (harlequin frogs [Atelopus spp.], marsupial frogs [Gastrotheca spp.], and Andean water frogs [Telmatobius spp.]) have suffered dramatic populations declines or extinctions [8, 2224], that seem to be related to the fungal panzootic Batrachochytrium dendrobatidis [8], although other factors, such as climate change may also be related [10].

Based on data gathered in the IUCN Red List, amphibians are the most threatened vertebrates globally, and the proportion of threatened species increases more rapidly than birds and mammals [2527]. By March 2021, from an estimated 8126 amphibian species, 7212 were evaluated (87% of the known species), and 2442 (34% of the evaluated species) were considered threatened [assessed as Critically Endangered (CR), Endangered (EN), or Vulnerable (VU)]. However, globally, the proportion of threatened amphibian species would increase in a range between 41 and 53% if we considered that several Data Deficient (DD) species are likely to be threatened by extinction [28, 29].

In 2004, the Global Amphibian Assessment (GAA) published by the IUCN, Conservation International and NatureServe categorized for the first time, the amphibians of Ecuador; subsequently updated in 2006 and 2008 (www.iucn-amphibians.org). As a result of this process, 447 amphibian species were evaluated, and 165 (37%) were found to be threatened or extinct [25]. In 2011, an updated assessment was published for Ecuadorian species [27], with 465 evaluated species, 142 (30.5%) of which were found to be threatened (CR, EN, or VU) and nearly 29% classified as DD.

Since 2015, the Ministry of Environment and Water (MAAE) of Ecuador has been leading the project “Conservation of Ecuadorian amphibian biodiversity and sustainable use of genetic resources”. One of the main components of the project is focused on understanding the conservation status of the amphibians of Ecuador and update the national red list. The goals of our study are to a) evaluate and update the extinction risk status of Ecuadorian amphibians, b) analyze spatial patterns of threatened species related to endemism, protected areas, and ecological regions in Ecuador, and c) suggest actions towards an integrative methodology to evaluate species conservation status.

Materials and methods

Amphibian database compilation

In order to gather distribution data for Ecuadorian amphibians, we compiled occurrence records along the complete distributional range of each species from the databases of the following ecuadorian museums: Instituto Nacional de Biodiversidad (INABIO-DHMECN); Museo de Zoología, Universidad Técnica Particular de Loja (MUTPL); Museo de Zoología, Universidad del Azuay (MZUA); Museo de Zoología, Universidad Tecnológica Indoamérica (MZUTI); Museo de Zoología, Universidad San Francisco de Quito (ZSFQ); Centro Jambatu (CJ). We also compiled records from the following databases: Proyecto Conservación de Anfibios y Recursos Genéticos del Ministerio de Ambiente del Ecuador (MAE-PARG), databases: Global Biodiversity Information Facility (GBIF; https://www.gbif.org), iNaturalist (https://www.iNaturalist.org), VertNet (http://vertnet.org/), Batrachia (https://www.batrachia.com), SapoPediaEcuador (http://www.anfibiosecuador.ec/index.php?aw; [13]), Anfibios Ecuador—Bioweb, Museo de Zoología de la Pontificia Universidad Católica del Ecuador (QCAZ; https://bioweb.bio; [14]). In addition, we obtained unpublished data evidenced by voucher specimens, or photographs, collected in the field and shared by the authors during the Ecuadorian Red List Assessment workshops (S1 Table). The final dataset included data compiled up to 31th October 2020 (Fig 1).

Fig 1. Spatial distribution of records from the amphibian database.

Fig 1

A total of 37,328 records from 635 native species (including Rana catesbeiana, an introduced species) assessed for the IUCN Red List of Ecuadorian amphibians. Categories in the legend correspond to the National System of Protected Areas (SNAP, from Spanish acronym) in Ecuador. Details of collections, sources, and databases are provided in the S2 Table.

We followed the nomenclature proposed by Grant et al. [30], Guayasamin et al. [31], Castroviejo-Fisher et al. [32], Hedges et al. [33] for Strabomantidae; all other taxa groups follow The Amphibian Species of the World [15]. Records from outside Ecuador were analyzed, error-checked, and improved with the same level of accuracy as the records from inside Ecuador [34], through a taxonomic assessment of specimens in scientific collections, validation of records based on biogeographic distribution, phylogenetics, taxonomic analyses, photographs published elsewhere [3543], a systematic literature review, and by discussions with 33 expert herpetologist from all over the country, including the authors of this paper, held during eight workshops between 2017 and 2020. Workshop participants were distributed on boards according to taxonomic families and geographic regions. Red List authorities participated in all workshops, to guarantee the correct use and application of all IUCN categories and criteria at the national level (i.e., Diego F. Cisneros-Heredia, Amphibian Red List Authority Regional Coordinator for Ecuador; Stephanie Arellano, Programme Officer, IUCN Regional Office for South America).

The Red List Assessment and the Red List of Amphibians of Ecuador herein presented were officially validated by the Ministry of Environment of Ecuador (Ministerial Agreement 069).

Spatialized data per species and geospatial data for watersheds, digital elevation model, and base maps from Ecuador (http://ide.ambiente.gob.ec/mapainteractivo/; http://www.igm.gob.ec/work/files/downloads/mapafisico.html) were revised using QGIS 3.4.14 to assess for data consistency [44]. Elevation data was extracted for every data point and represented in boxplots to find outliers and other possible data errors. Problematic occurrence data, either at the georeferenced or taxonomic level, were removed from the dataset. Taxonomic experts validated the data and highlighted errors or inaccuracies during workshops. Records with incorrect georeferenced data were fixed using the Google Satellite layer in QGIS, only when the collectors verified the exact location. This process aimed to obtain a clean and debugged database that met appropriate standards for ecological niche modeling [4547], biogeographic analyses [48, 49], and Red List Assessment [12, 16, 21], by Darwin Core guidelines (https://dwc.tdwg.org/).

Environmental data

Climate variables for current and future scenarios were downloaded from the WorldClim2 database [50] (http://www.worldclim.org). We obtained 15 climatic variables at a 30 seconds (~1 km2) spatial resolution; we excluded the four layers that combine precipitation and temperature information into the same layer due to spatial anomalies [51]. To characterize future climate conditions, we used data for two IPCC representative concentration pathways emissions scenarios (RCP 4.5 and 8.5) from the Hadley Global Environment Model 2—Earth System (HadGEM2-ES) global circulation model (GCM) [50]. Future RCP 4.5 scenarios assume relative slow income growth, increasing human population, and modest improvements in technology and energy intensity, leading to a higher demand for energy and increasing greenhouse gas emissions in the long-term considering an absence of climate change mitigation policies, whereas the RCP 8.5 scenario represents higher predicted greenhouse gas emissions [52].

Data analysis and ecological modeling

Species were divided into two groups: 1) those that could be modeled (485 sp), and 2) those that could not be modeled due to the low number of occurrence points (fewer than 5 localities; 151 sp), occurrence points situated in closely-located pixels, or models not statistically significant by AUC thresholds. For the first group, we implemented a modeling process with MaxENT [53]. We used the complete dataset of records along the known distributional range of each species. The characteristics of the model (creation, calibration, selection, and evaluation) were carried out in kuenm R package [54]. The Jackknife procedure and correlation statistics (-0.8 to 0.8 in Pearson r values) were used to assess the importance of the variables in a first run with all values by default.

Once the climate variables were selected, we obtained candidate models with different parameters (seven multiplication regulators—0.1, 0.4, 0.7, 1, 2, 3, 4—and seven feature classes—linear (l), quadratic (q), product (p), and all the combinations lq, lp, pq, lqp-). The maximum number of background points was 10,000. We randomly selected 70% of the data for training and used the remaining 30% for testing. A total of 500 runs were set for model building. The best model was selected according to the criteria of omission rate < 10% and delta AIC > 2.

An important step in ecological niche modeling is to define a calibration region, the accessible area (“M”, hereinafter) for species [45, 47, 55]. In this study, we delimited “M’’ using the biogeographic provinces for the Neotropics [56], watersheds, and a digital elevation model to find the physical barriers that determine the accessibility area of each amphibian species. We found similar distribution patterns among several species, reiterating the same physical barriers (i.e. the Andes, basins, mountain ranges, etc.). For these reasons, some generic “M’’ were constructed for the different regions (i.e., highlands, coast, and Amazon), and these were assigned to each of the species. For taxa lacking enough data points for ecological modeling, the Area of Occupancy (AOO) was calculated [3] in R software (https://www.r-project.org/), using a 2 x 2 km grid created in QGIS 3.4.14 and extracting and counting the number of cells occupied by the species.

Cumulative species richness model

Cumulative species richness models (CSRM) were performed adding up the results of the Maxent binary models (suitability area) and Area of Occupancy (AOO) for each of the families and conservation categories. The results were shown using the tmap package [57] in R software (https://www.r-project.org/). Endemic species are herein referring to species restricted entirely to Ecuador, and were determined based on the categories proposed by Ron, A. (14). We used a Kruskal-Wallis test and a Wilcoxon test for paired samples to compare groups of endemic/ non-endemic taxa and conservation threat categories related to altitude ranges.

Threat model

To have a better understanding of the potential impacts of human activities on the distribution of Ecuadorian amphibians, we followed standardized criteria to define risk elements and potential threats, based on expert supervision for hierarchical classification by IUCN-CMP (International Union for Conservation of Nature—Conservation Measures Partnership) [3, 58]. Overall, eight major threats with 34 subcategories were used to develop a threat or Environmental Risk Surface (ERS) model (Table 1).

Table 1. Major threats with their subcategories, influence distance, decay function, and Analytic Hierarchy Process (AHP) intensity value estimated for modeling threats to Ecuadorian amphibians.

Major threats and categories Influence Distance (m) Decay function AHP Intensity
Agriculture and aquaculture      
Crops      
    Permanent crops 1875 Logistic 0.015
    Annual crops 1250   0.023
    Semi-permanent crops 375   0.016
    Grassland 375   0.036
    Agricultural mosaic 375   0.003
    Forest plantations 250   0.007
    Other agricultural lands 125   0.005
Aquaculture      
    Shrimp farm area 1250 MSSmall 0.051
Biological resource use      
    Deforestation 125 Logistic 0.34
Emerging diseases and Invasive species      
    Fungus Chytridium 1250 Constant 0.035
    Rana catesbeiana (Bullfrog) 1250 Constant 0.012
Energy production and mining      
    Operations 1250 MSSmall 0.026
    Explorations 1000   0.005
Mining and quarrying      
    Concessions 625   0.002
    Construction Materials/Free use/Artisanal mining 250   0.007
Oil drilling      
    Active oil fields 1250 Logistic 0.015
    Oil wells 625   0.021
    Dormant oil fields 250   0.004
    Oil blocks 250   0.003
Hydroelectric power plants      
    operative 1250 0.009
    Building 625 MSSmall 0.012
    In project 250   0.001
Natural system modifications      
    Megaprojects area of influence 1250 MSSmall 0.033
Population density      
    Population density Continuous raster Continuous 0.22
Transportation      
    1st order 1250 Lineal 0.025
    2nd order 1000   0.016
    3rd order 625   0.011
Roads      
    Trails 250   0.008
Airports      
    Airports 1250 Logistic 0.006
    Airport runways 625   0.003
    Oil pipeline/Polyduct 625 Logistic 0.002
Pipelines      
    Gas pipeline 250   0.002
Stochastic events      
    Flood-prone areas 625 MSSmall 0.005
    Volcanism area of influence 12500 MSSmall 0.016

We used a standard lexicon for classifications of threats [58]. The Influence Distance (meters) was assigned to each subcategory based on buffer areas with a respective decay function, giving values according to the intensity of anthropogenic and natural threats. To reduce subjectivity by decision-making bias, regarding the ascription of Intensity to each risk element, we applied a Multi-Criteria Decision Making (MCDM) through Analytic Hierarchy Process (AHP) on the analysis (See S3 Table).

We used a standard lexicon for classifications of threats [58]. These elements were spatially mapped (ArcMap v.10) as points, polygons, and lines, and then converted to raster files to calculate Euclidean distances of each threat. The Influence Distance (meters) was assigned to each subcategory based on buffer areas with a respective decay function, giving values according to the intensity of anthropogenic and natural threats. To reduce subjectivity by decision-making bias, regarding the ascription of Intensity to each risk element, we applied a Multi-Criteria Decision Making (MCDM) through Analytic Hierarchy Process (AHP) on the analysis (S3 Table). Once the inputs were obtained, the process was automatized using ModelBuilder from ArcMap, with an iterative process per subcategory (S1 Fig). Finally, the outputs were overlapped with a raster calculator to develop an ERS, which considers a weighted overlay of amphibians-specific threats in Ecuador, with a resolution of 30 m x 30 m.

National Red List Assessment

The conservation status of amphibian species in Ecuador was assessed following the protocols, standards, criteria, subcriteria and adjustments for national assessments proposed by the IUCN [3, 59].

The dataset was compiled in a geospatial database used to assess the distribution and threats in a series of workshops promoted by the working group led by the authors. Data by species were analyzed mainly by records (N), percentage of records in Ecuador (%), area of occurrence (AOO, km2), suitability area reconstructed by niche modeling (km2), environmental contractions [60, 61] in future scenarios (% reduction relative to current ecological model), and values higher than 0.5 (in the third quartile) of the threat model.

All statistics (43 in total) used to apply criteria and subcriteria to assess the conservation status of a given species are detailed in S2 Table. Additional data related to population size or decline of the number of mature individuals were documented from literature or data from the authors provided in the workshops. As additional support for the evaluation, we used basic maps for National System of Protected Areas (SNAP—Sistema Nacional de Áreas Protegidas), Forestal Heritage, Protected forests and vegetation, Conservation Areas, Ramsar wetlands, Land Use and forested areas (until 2018) and Natural Regions of Ecuador, downloaded in vector format from national servers [27, 6264]. We calculated the threatened representativeness in a taxonomic group (TR): the number of threatened taxa / total number of taxa per family X 100. Comparative assessment of threatened taxa regarding the last National Red List follows Ron, Guayasamin (27).

Results

National Red List Assessment

A total of 126 databases belonging to various institutions and on-line resources were used to consolidate the dataset for the Ecuadorian amphibians (S1 Table). The final dataset included 37,328 records, of which 29,189 were located in Ecuador, of a total of 635 taxa (plus Rana catesbeiana, as an invasive species), which represent 100% of the species currently reported for Ecuador (Fig 2). GBIF, QCAZ, and INABIO were the data providers with the most representative collections included in the current Red List evaluation (Table 2).

Fig 2. IUCN Red List of amphibians from Ecuador.

Fig 2

The number of species by (a) Categories and (b) Criteria. Categories: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient, NE = Not Evaluated—corresponds to Rana catesbeiana, an invasive species in Ecuador. Atelopus ignescens (Critically Endangered) was believed to be extinct until its rediscovery in 2016. Illustration by PARG.

Table 2. Number of taxa and records analyzed from databases for the National Red List Assessment.

Collections Databases CR EN VU NT LC DD NE* Taxa (%) Records (%)
Global Biodiversity Information Facility 70 (702) 107 (715) 98 (1320) 64 (1201) 162 (11313) 19 (122) 1 (3) 521 (82%) 15376 (41%)
BIOWEB-PUCE 47 (239) 114 (1216) 101 (1889) 68 (2065) 168 (10161) 10 (211) 1 (2) 509 (80%) 15783 (42%)
Instituto Nacional de Biodiversidad 18 (29) 81 (238) 91 (314) 59 (321) 152 (1883) 6 (31)   407 (64%) 2816 (8%)
Museo de Zoología Universidad del Azuay 4 (6) 10 (56) 28 (169) 13 (43) 84 (262)   1 (5) 140 (22%) 541 (1%)
Museo de Zoología, Universidad Técnica Particular de Loja 8 (16) 14 (71) 31 (496) 21 (320) 57 (956)     131 (21%) 1859 (5%)
Red List Assessment Workshop 8 (25) 22 (58) 13 (40) 14 (29) 40 (145) 4 (9) 1 (1) 102 (16%) 307 (1%)
Centro Jambatu 8 (16) 14 (20) 17 (21) 10 (51) 32 (65) ()   81 (13%) 173 (0%)
Escuela Politécnica Nacional 5 (17) 8 (12) 11 (29) 10 (19) 19 (65) 1 (1)   54 (8%) 143 (0%)
Fundación Herpetológica Gustavo Orcés 1 (1) 3 (3) 1 (1) 7 (16) 16 (64) 1 (1)   29 (5%) 86 (0%)
Batrachia   3 (30) 4 (13) 1 (1) 2 (21)     10 (2%) 65 (0%)
Museo de Zoología Universidad Tecnológica Indoamérica     2 (2) 2 (2) 4 (4) 1 (1)   9 (1%) 9 (0.02%)
Literature review 2 (2)             2 (0.3%) 2 (0.01%)
Proyecto PARG 2 (168)             2 (0.3%) 168 (0.5%)
Total Species (records) 85 (636) 147 (2419) 131 (4294) 78 (4068) 26 (24939) 168 (376) 1 (11) 37328

CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient, NE = No Evaluated, corresponds to Rana catesbeiana, an invasive species in Ecuador.

Our IUCN Red List assessment resulted in the assignment of a threatened category (CR, EN, VU) to 57% of the Ecuadorian amphibian species, while 12% considered as Near Threatened (NT), 4% as DD, and 27% as Least Concern (LC) (Fig 2, Table 3). Eighty-five (85) taxa were considered as Critically Endangered CR (13.4%), including species of the genera Atelopus (24 spp.), Hyloxalus (9 spp.), and Pristimantis (12 spp.); 147 taxa (23.1%) were classified as Endangered (EN), and 131 (20.6%) as Vulnerable (VU). Strabomantidae is the family with the highest number of threatened taxa (CR = 18 spp, 3%, EN = 67 spp, 11.1%; VU = 87 spp, 14.5%, respectively). Strabomantidae (28.6%), Bufonidae (7%), and Centrolenidae (6.3%) harbor 42% of the total threatened species in Anura. An additional 78 taxa (12.3%) were evaluated as NT, and 168 as LC (26.4%). Finally, 26 taxa (4.1%) are considered as DD because the information was insufficient for an adequate assessment of their extinction risk (Fig 3, S3 Table). Regarding taxa under threatened categories, 56.7% (341 spp) of Anura, 72.7% (8 spp) of Caudata, and 60.9% (9 spp) of Gymnophiona qualified for one of these categories (Table 3). A total of 16 genera had all of their taxa considered as threatened [i.e., Atelopus (25 spp.), Lynchius (4 spp.), Epicrionops (3 spp.), Telmatobius (3 spp.), Ctenophryne (3 spp.), Sachatamia (3 spp.)]; seven genera had 70–90% of taxa as threatened [i.e., Hyloxalus (22 spp.), Nymphargus (15 spp.), Gastrotheca (14 spp.)]; 12 genera had 50–70% as threatened [i.e., Pristimantis (155 spp.), Hyloscirtus (13 spp.), Caecilia (7 spp.)] (Fig 3, S5 Table).

Table 3. Species (percentage) and threat categories, assessed by family in Ecuadorian amphibians.

Class/Families CR EN VU NT LC DD Threatened Taxa Total Taxa TR (%)
Anura 81 (13.5%) 136 (22.6%) 124 (20.6%) 78 (13%) 162 (27%) 20 (3.3%) 341 (56.7%) 601 (100%) 56.7%
    Aromobatidae     2 (0.3%)   4 (0.7%) 1 (0.2%) 2 (0.3%) 7 (1.2%) 28.6%
    Bufonidae 29 (4.8%) 7 (1.2%) 6 (1%)   12 (2%) 2 (0.3%) 42 (7%) 56 (9.3%) 75%
    Centrolenidae 8 (1.3%) 22 (3.7%) 8 (1.3%) 7 (1.2%) 11 (1.8%) 4 (0.7%) 38 (6.3%) 60 (10%) 63.3%
    Ceratophryidae     1 (0.2%)   1 (0.2%) 1 (0.2%) 1 (0.2%) 3 (0.5%) 33.3%
    Craugastoridae         1 (0.2%)     1 (0.2%) 0%
    Dendrobatidae 10 (1.7%) 12 (2%) 9 (1.5%) 9 (1.5%) 7 (1.2%)   31 (5.2%) 47 (7.8%) 66%
    Eleutherodactylidae   1 (0.2%)     1 (0.2%)   1 (0.2%) 2 (0.3%) 50%
    Hemiphractidae 7 (1.2%) 8 (1.3%) 1 (0.2%) 7 (1.2%) 2 (0.3%)   16 (2.7%) 25 (4.2%) 64%
    Hylidae 5 (0.8%) 14 (2.3%) 6 (1%) 18 (3%) 55 (9.2%) 2 (0.3%) 25 (4.2%) 100 (16.6%) 25%
    Leptodactylidae 1 (0.2%) 2 (0.3%) 2 (0.3%) 2 (0.3%) 18 (3%)   5 (0.8%) 25 (4.2%) 20%
    Microhylidae   3 (0.5%) 2 (0.3%) 1 (0.2%) 5 (0.8%) 1 (0.2%) 5 (0.8%) 12 (2%) 41.7%
    Pipidae         1 (0.2%)     1 (0.2%) 0%
    Ranidae       1 (0.2%) 2 (0.3%)     3 (0.5%) 0%
    Strabomantidae 18 (3%) 67 (11.1%) 87 (14.5%) 33 (5.5%) 42 (7%) 9 (1.5%) 172 (28.6%) 256 (42.6%) 67.2%
    Telmatobiidae 3 (0.5%)           3 (0.5%) 3 (0.5%) 100%
Caudata 3 (27.3%) 5 (45.5%)     2 (18.2%) 1 (9.1%) 8 (72.7%) 11 (100%) 72.7%
    Plethodontidae 3 (27.3%) 5 (45.5%)     2 (18.2%) 1 (9.1%) 8 (72.7%) 11 (100%) 72.7%
Gymnophiona 1 (4.3%) 6 (26.1%) 7 (30.4%)   4 (17.4%) 5 (21.7%) 14 (60.9%) 23 (100%) 60.9%
    Caeciliidae   5 (21.7%) 4 (17.4%)   3 (13%) 4 (17.4%) 9 (39.1%) 16 (69.6%) 56.3%
    Rhinatrematidae 1 (4.3%) 1 (4.3%) 1 (4.3%)       3 (13%) 3 (13%) 100%
    Siphonopidae     1 (4.3%)   1 (4.3%)   1 (4.3%) 2 (8.7%) 50%
    Typhlonectidae     1 (4.3%)     1 1 (4.3%) 2 (8.7%) 50%
Total general 85 (13.4%) 147 (23.1%) 131 (20.6%) 78 (12.3%) 168 (26.5%) 26 (4.1%) 363 (57.2%) 635 (100%) 57.2%

CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient. Pale red-shaded numbers are highlighted for families with the highest number of species in each threatened category. Threatened representativeness (TR): (number of threatened taxa / total number of taxa per family)*100.

Fig 3. A taxonomic perspective of the Red List status of amphibians in Ecuador.

Fig 3

The species composition (% of threatened species) of each family in Anura (dark blue), Caudata (bright blue), and Gymnophiona (purple) is characterized by ribbons connected to the current Red List status for each species. The numerical values below each family name depict the relative percentage with the associated Red List category: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, and DD = Data Deficient. Two endemic and threatened frogs are illustrated by Atelopus coynei (Critically endangered) distributed in northern Andes of Ecuador, whereas Excidobates condor (Endangered) is distributed in the Cordillera del Condor, southeastern Ecuador. Both species are threatened by habitat loss, mining, and climate change. Illustrations by PARG.

A total of 287 species (45%) of the species occurring in Ecuador are endemic. All endemic species of the families Andinobates, Ectopoglossus, Paruwrobates, and Telmatobius were considered to be threatened; the families Bufonidae, Dendrobatidae, Strabomantidae have 70–90% of their endemic species categorized as threatened. Eighteen genera have all of their endemic taxa evaluated as threatened (i.e., Atelopus, Lynchius, Niceforonia, Paruwrobates, Rhaebo, Telmatobius) and 10 genera have 70–90% of their endemic species as threatened (Caecilia, Chiasmocleis, Epipedobates, Espadarana, Gastrotheca, Hyloscirtus, Hyloxalus, Nymphargus, Osornophryne, Pristimantis) (S5 Table). Our assessment incorporates 172 species not previously evaluated; and we present the first extinction risk categorization for 127 species, previously classified as DD (Table 4, S3 Table).

Table 4. Number of amphibian species that changed their conservation status from the previous Ecuadorian Red List [27].

Current assessment (2021)
Previous assessment (2011) CR EN VU NT LC DD Total
CR 29 9 1 1 1 41
EN 10 28 20 3 3 1 65
VU 7 9 12 9 3 40
NT 5 12 16 15 11 59
LC 1 1 7 15 98 2 124
DD 17 41 23 14 32 8 135
NE 2 7 10 2 4 3 28
Total 71 107 89 58 152 15 492

Diagonal: Taxa that maintained the same conservation category between assessments. Upper diagonal: Taxa that decrease their conservation category; Lower diagonal: Taxa that increase their conservation category.

Major threats

The ERS model is presented in S2 Fig. This model reveals high-risk areas (red) mainly located in the vicinity of large and medium-sized cities: Guayaquil (Coast), Quito (Andes), and Lago Agrio (Amazon). Medium-to-high-risk areas (orange) are primarily placed on the eastern and western foothills of the Andes mountain range, northern Amazonia, and northern Coast, with high threats scattered on central Coast and Amazonia regions, nearby roads. Medium-risk areas (yellow) can be identified along the Andes, as well as in the center-southern part of the Coast. We noticed that areas of low impact (green) are isolated, related to protected areas, inaccessible forests, and mountain ranges located in northwestern Ecuador, the Amazonian foothills of the Andes, and southern Amazonia (Fig 4).

Fig 4. High resolution (30 m x 30 m) Environmental Risk Surface (ERS) model for Ecuadorian amphibians.

Fig 4

Values of the ERS range from 0 (Green, low) to 1 (Red, high) to represent threat intensity. Shaded areas correspond to the National System of Protected areas shown in Fig 1.

Agriculture, transport, infrastructure (i.e., roads, oil pipelines, etc.), production areas (mining, oil camps, etc.), and deforestation are the most important threats for Ecuadorian amphibians, with 70–98% taxa associated with each of these categories (Fig 5, S7 Table). Near to 21–36% of assessed species will have a contraction in more than half of the area that represents their ecological niches (loss of environmental conditions, RCP 45/85) in future scenarios. We documented the presence of Rana catesbeiana, an introduced species, in several locations mainly distributed in the southern slopes of the Andes and coastal regions.

Fig 5. Major threats associated with amphibian taxa (% of locality records in the database) by conservation categories in Ecuador.

Fig 5

Environmental contractions on climate change scenarios for RPC4.5 and RPC 8.5 are shown for those species with more than 50% of shift.

Biogeographical patterns

Cumulative species richness models (CSRM) by threat category are shown in Fig 6 (models per species, genera, and families are detailed in Supplementary Material SM4). CSRM for threatened species generated a maximum value of 57 species overlapped per pixel. A high concentration of threatened taxa occur in the northern montane forests on both sides of the Andes, paramos, and valleys in the central Andes and eastern montane forest along the Cutucú and Condor mountain ranges and foothills of the Amazon basin (Fig 6).

Fig 6. Cumulative species richness for threatened taxa (n = 265 models) by Red List category.

Fig 6

Maps with cumulative species (Num sp) models per category and family are shown in S3S5 Figs.

CSRM of CR taxa generated a maximum value of 12 species overlapped per pixel. A high concentration of taxa is located along both sides of the Andes, in northern Ecuador near the Cayambe Coca Ecological Reserve and Napo Sumaco-Galeras National Park, and the montane forest of southeastern Ecuador close to the Cutucú and Condor Mountain ranges. Models for EN taxa generated a maximum value of 28 species overlapped per pixel. The highest concentration of taxa was in the northwestern Andes, in areas west of the Pichincha volcano, Mindo, Guayllabamba basin in the provinces of Esmeraldas, Pichincha, Imbabura, and Carchi. Models for VU taxa generated a maximum value of 27 species overlapped per pixel. The higher concentration of VU taxa was located along with mountain forests and foothills in both sides of the Andes, in the Chocó region, in nearby areas of Napo Sumaco-Galeras National Park, and southeastern Ecuador (Fig 6).

Locality records of threatened species revealed differential patterns of distribution depending on the family (Fig 7). For example, threatened taxa of Bufonidae, Centrolenidae, Dendrobatidae, and Strabomantidae are related to the Andes and foothills. Telmatobiidae, which have all of their species categorized as CR, is restricted to the southern Andes (Fig 7). Strabomantidae is the only family that presents CR taxa limited to the coastal region. On the other hand, threatened taxa of Hylidae and Leptodactylidae have been recorded on both sides of the Andes, related to foothills and tropical forests. Threatened salamanders (Caudata, Plethodontidae) have been registered in northern Ecuador, towards foothills on both sides of the Andes, and tropical forests in the Chocó region (Fig 7).

Fig 7.

Fig 7

Occurrence data of threatened Ecuadorian amphibians by (a) taxonomic families, (b) endemic taxa to Ecuador, and (c) Red List categories in an altitudinal gradient. Risk categories: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, DD = Data Deficient. Least Concern taxa have been removed.

Records of NT taxa are distributed on both sides of the Andes for Centrolenidae, Dendrobatidae, and Hylidae; while Hemiphractidae and Leptodactylidae are represented mainly in the Amazon basin and eastern slopes of the Andes. A wider distribution of locality records in Ecuador (except the dry area in the coastal region) of NT taxa is identified for Strabomantidae. DD taxa are mostly located in the foothills and lowlands along the Amazon region, mainly for Bufonidae, Hylidae, Aromobatidae, and Centrolenidae; also, DD species in families Strabomontidae have been registered in the Andes (Fig 8).

Fig 8.

Fig 8

Occurrence data of NT (green), DD (grey), and NE (blue) Ecuadorian amphibian species, by Red List category and family. Only families with species in these categories are shown.

The database had records from lowlands to highlands in Ecuador (min = 6 m, 1st Qu. = 821 m, median = 1694 m, mean = 1760 m, 3rd Qu. = 2728 m, max. = 5299 m). We report differences in the distribution of threatened and endemic taxa related with altitude [KW test (χ2) = 591.58, d.f. = 5, p<2.2e-16]. Threatened species were more frequently distributed on the highlands, montane areas, and foothills of the Andes i.e., CR (median = 2240 m, n = 1159), EN (median = 1862 m, n = 2096), VU (median = 1533 m, n = 3599), compared with NT taxa (Fig 7).

The highest number of threatened species was essentially encountered in three natural regions: eastern montane (318 spp), western montane (224 spp), and the Amazon (208 spp). Regarding species richness in each region, the paramo had the highest proportion of threatened species (80%), followed by the western montane (74%), Andean shrub (69%), and western foothills (65%). (Fig 9, S6 Table).

Fig 9. Frequency of locality records of amphibians in each risk category by natural regions in Ecuador.

Fig 9

Categories: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, DD = Data Deficient. Least Concern taxa have been removed from this figure.

The “Vegetation and Protected Forests” category and the SNAP protected areas are the most important types of protected areas for threatened amphibian species, with an overall record of 203 (32%) and 196 species (31%), respectively (Fig 10, S6 Table). Sixty-five species (10%) do not occur in any protected area, with 26 rated as CR, 25 as EN, and 14 as VU.

Fig 10. The IUCN Red List of amphibians from Ecuador representation in the National System of Protected Areas.

Fig 10

Categories: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient. SNAP–Governmental National System of Protected Areas, from the Spanish acronym.

Discussion

The current conservation status of Ecuadorian amphibians

The conservation status of 635 native amphibian species documented for Ecuador to date was assessed. The introduced species R. catesbeiana was considered to be invasive (S4 Table). Herein we report that 57% of the evaluated amphibian species are classified under some extinction risk using the IUCN Red List guidelines (13% CR, 23% EN, and 21% VU), with a further 12% falling into the NT category, and 4% listed as DD taxa. Our data present a rather pessimistic situation for one of the most diverse countries in amphibian species in the world [15]. This is especially true as the data are correlated with a high deforestation rate [20, 65], an immense pressure for mining development [66], and an important expected human population growth in the future [67].

Compared to a previous National Amphibian Red List [27], we add assessments for 144 species and additionally, provide a status evaluation for 135 species that were considered DD at that time (Table 4; S3 Table). As a result of our study, 190 maintained the same conservation status, but 302 taxa have changed—168 species have now been found to qualify in a higher Red List category, while 64 have been assigned to a lower extinction risk category. The differences are explained by an increased knowledge for several groups, including taxonomic revisions with curated locality records, new information of recent species descriptions, ecological models for most of the threatened species, database compilation, and numerous evaluation workshops together with IUCN authorities and amphibian specialists [3, 27, 59].

Amidst a general trend of loss of biodiversity, some amphibian taxa (i.e. Atelopus, Telmatobius) show a phylogenetic vulnerability to anthropogenetic driven change and/or emerging diseases, most likely as a result of a combination of their distinctive life-history traits and immune constraints [23, 40, 6871]. Because they contribute uniquely to the functioning of their communities, the loss of such species is especially worrisome as it is expected to have a disproportionate impact on the stability of local ecosystems, beyond their taxonomic loss [10]. This is of particular importance since most of them are endemic species not only to Ecuador, but also to specific habitats [14].

Major threats

We have generated a quantitative and objective ranking of threats for Ecuadorian amphibians, using clear and comprehensive protocols [58]. A ranking of threats helps to identify and prioritize the conservation actions needed to mitigate them and provides results that are comparable and replicable [59]. Agriculture is of particular importance amongst the threats faced by Ecuadorian amphibians. In Ecuador, the unsustainable use of forested lands and agriculture/cattle-raising related deforestation, even in areas where the human population is low, are conspicuous threats; therefore, a shift towards more sustainable and efficient agricultural practices is a priority. Also, some anthropogenic threats (roads, human settlements, and oil activities) amplify the incidence of other pressures and are the most relevant predictors of ecological integrity [1, 36, 72].

The ecological characteristics and microhabitat preferences of species can lead to deep variations in the susceptibility to certain drivers of extinction amongst taxa [2]. In amphibians, species respond differently to disturbance [73], therefore, conservation actions should take in consideration variables such as habitat specificity, life-history traits, distribution, connectivity, among others [74]. For example, we found a different distribution pattern in the case of threatened species, as well as endemic ones, both showing a higher density along an altitudinal gradient, with a peak in montane forests and highlands (Fig 7). However, cases of amphibian species interaction with spatial patterns of human impacts are puzzling. An alarming trend is that the greatest density of threatened taxa occurs in montane and paramo ecosystems, regions that we would expect to be under a lesser anthropic impact. Further considerations on climate change and synergic effects with habitat loss and emergent diseases, like Chytridiomicosis, must be considered as major threats to Ecuadorian amphibians [10, 69], especially to endemic species.

Future assessment efforts should include the presence of invasive species as another potential threat to Ecuadorian amphibians. Currently, there are few studies focused on determining the expansion of these species and their effect on native amphibian populations. The bullfrog (R. catesbeiana) has been reported in six Ecuadorian provinces [75]; the rainbow trout (Oncorhynchus mykiss) and the common trout (Salmo trutta) are present in Andean areas of the whole Ecuadorian highlands [76]. The threat that these species represent to amphibians could be significant, considering their predatory and expansionist biology, but also because it generally overlaps with other threats that affect the habitat of species listed at extinction risk [77]. A special case of an invasive amphibian species (Scinax quinquefasciatus) potential negative effects on the environment can be found in the Galapagos Islands, reported in Santa Cruz and Isabela islands [14, 78, 79]. The effects of this species on the local ecosystems should be monitored in the future.

Protected areas and threatened species

An evaluation of existing protected areas overlapping with the threatened species distribution reveals lacking of information from several areas in Ecuador, suggesting that much work is still needed to ensure the long-term survival of amphibians and their habitats. Since the existence of protected areas is considered the main hope for preserving threatened species from extinction [80], the fact that ~10% (65 species) of the Ecuadorian threatened amphibian species occur uniquely outside protected areas is alarming and highlights the limitations of the current National Protected Areas Network.

Our study emphasizes several areas that are home to a high number of threatened amphibian species and that are not protected (Fig 10). This is especially evident in three locations: the Chocó area (north of the "Los Ilinizas" ecological reserve and the Pichincha volcano), the area among Cayambe-Coca, Antisana, and Sumaco, and in southern Ecuador (south of Sangay National Park). The national protected area network would maximize ecological representativeness and threatened species’ coverage [81] if including areas with high amphibian species diversity (Figs 4, 6 and 10).

The dataset of distribution records reveals an important sampling effort bias, mostly related to roads or accessible areas (Fig 1). Large areas have been under-sampled, especially coastal areas, Andean paramo, and Amazonia. As a result, species categorized as DD are mostly located in the Amazon Region and on the eastern slopes of the Andes (Fig 8). In many cases, the remoteness of the areas prevents access due to logistical difficulties [81]. Although for the same reasons, the anthropic impact should be lower, in the case of high-altitude Andean habitats, we notice an overlapped high density of threatened species (especially CR), emphasizing the importance of focused searches for healthy populations in these secluded regions.

In the case of coastal areas, the shortage of inventories reflects insufficient sampling, severe habitat loss, but not necessary caused by limited access. Although a lower amphibian diversity is likely, mainly because of extreme climatic factors that restrict the distribution to a low number of resilient species, the total absence of records over large areas suggests a sampling bias [81]. However, the revision of threats indicates that the coastal region has a high proportion of its surface included under the highest risk, as well as a low representation in the Protected Areas Network (Fig 4). We emphasize the need for urgent base-line information regarding the amphibians inhabiting this region, as the lack of data makes it impossible to detect and monitor potential population declines or local extinctions.

Towards an integrative methodology to evaluate the species conservation status

The methodology implemented herein is explicit, objective, and consistent, which are the main requisites to produce a solid assessment of species conservation categories. We are confident that we have produced standardized parameters to estimate robust risk variables that integrate interacting threats [2, 58] that are currently detailed in a methodological paper (López et al. in prep). We consider it as a key step in improving the protocol for Red List assessment in the effort to validate the taxonomic and spatial database. Ecological modeling was performed using all available data points along the known distributional range for nominal species, and as such included historical records, identifying and avoiding species complexes, and candidate new species based on phylogenetic evidence [36, 37, 40, 42, 8285]. Although experts participated in the evaluation of the current status, the risk of extinction of species may be higher than assessed, due to the decline in their historical distribution range over time, as well as limitations on our understanding of population dynamics and ecological interactions [10, 86].

Demographic information is lacking for the vast majority of Ecuadorian amphibians, with 14% of the species assessed with limited data related to population size (Criteria A, C or D; Fig 2B). This constitutes a serious obstacle for obtaining a more comprehensive evaluation of their conservation status, preventing the early detection of declines. It is a particular case for Ecuador, where an important number of species are known only from a small number of specimens, and some have not been encountered for decades [e.g. 24]. This can be the result of cryptic habits that characterize some taxa (e.g. cecilians), but might as well indicate severe population declines or even extinctions (Telmatobius, Atelopus, or some centrolenids). This emphasizes the need for an intensive effort to gather base-line information on abundance and community composition for a diversity of amphibian populations.

Additionally, incomplete taxonomic delimitation has the potential to seriously impact amphibian conservation [71, 87]. Widely distributed species complexes, which are often assessed as LC, sometimes underlie cryptic taxa [37, 42, 84, 88], which might be facing particular conservation threats. We highlight the importance of taxonomy as a cornerstone for extinction risk assessments and conservation, especially in tropical mega-diverse regions. Assessments based on non-nominal species-level lineages or ambiguous names must be prioritized for taxonomic research [89].

Conclusions

We offer the Red List Assessment of amphibian species in Ecuador, as one of the most detailed and complete taxonomic coverage for any Ecuadorian taxonomic group to date. Our evaluation of the 635 amphibian species recorded inside Ecuador found that 57% of all species are considered to be threatened (13% Critically Endangered, 23% Endangered, 21% Vulnerable). Moreover, 12% were listed as Near Threatened and 4% as Data Deficient. This assessment surprisingly almost doubled the number of species considered as threatened compared to the previous evaluation in 2011 [27]. Most threatened species are found in Andean montane forest and paramo, with nearly 10% of them located outside protected areas. To complement the results of this work and other future works, there is an urgent need for increasing the number of integrative taxonomic studies to describe new species and generate data on the ecology and genetics of populations and communities for those considered as taxonomic complexes. It is essential to focus research efforts towards species categorized as DD, that may be in danger of extinction [29, 90]. In parallel, new public and private reserves should target the protection of endangered species and their ecosystems. Conservation strategies should also strengthen ex-situ programs. Such integration will help in better management and conservation of amphibian species in hot-spot countries, like Ecuador.

Supporting information

S1 Table. Institution code, Institution name, database source, categories, number of records, and number of species assessed in the Red List for Ecuadorian amphibians.

(XLSX)

S2 Table. Multi-Criteria Decision Making (MCDM) through the Analytic Hierarchy Process (AHP) for construct the threat model (Fig 4).

(XLSX)

S3 Table. Species list of Ecuadorian amphibians, endemism, conservation areas, major threats, extinction risk criteria, subcriteria, and metrics used for the Red List Assessment.

(XLSX)

S4 Table. The Red List for Ecuadorian amphibians, with details of criteria and subcriteria used for the evaluation of national categories.

Categories: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient, NE = Not Evaluated, correspond to Rana catesbeiana, an invasive species in Ecuador.

(XLSX)

S5 Table. The number of taxa assessed by genera in the current evaluation, categories, and threatened representativeness in the group (%).

(XLSX)

S6 Table. Species (percentage) and categories of threat assessed by type of protected area in Ecuador.

CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient. SNAP = National System of Protected Areas, from the Spanish acronym.

(XLSX)

S7 Table. Species (percentage) and categories of the conservation status of amphibians by major threats in Ecuador.

CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient.

(XLSX)

S8 Table. Species and categories of threat assessed by natural regions and Protected Area in Ecuadorian amphibians.

CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient.

(XLSX)

S9 Table. Species (percentage) and categories of threat assessed by natural regions and provinces in Ecuadorian amphibians.

CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient.

(XLSX)

S1 Fig. Automated procedure was designed using the ModelBuilder tool in ArcMap v.10 to perform threat model iterative analysis.

(DOCX)

S2 Fig. The threat model for Ecuadorian amphibians, raster image.

https://drive.google.com/file/d/1wkdx8DgDwKhVEyElDhc23wmEiknFw4DE/view?usp=sharing.

(DOCX)

S3 Fig. Cumulative richness models of taxa qualified as critically endangered by family.

(DOCX)

S4 Fig. Cumulative richness models of taxa qualified as Endangered by family.

(DOCX)

S5 Fig. Cumulative richness models of taxa qualified as Vulnerable by family.

(DOCX)

Acknowledgments

We thank Pablo Larco, Patricia Pachacama, and Paola Guijarro (PARG Project), for their valuable support along with the red list assessment; to Andrea Coloma, Eduardo Toral, Stephanie Arellano, Ernesto Arbeláez, Diego Inclán, and Grace C. Reyes Ortega, for sharing information and technical comments along with the workshops and database curation.

Data Availability

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

Funding Statement

This work was supported by the following projects: “Conservation of Ecuadorian Amphibians and access to genetic resources-PARG” managed by the Ministry of Environment and Water of Ecuador. The funder Project PARG provided support in the form of salaries for authors [KGLVM, SMRJ, MGL, DCJ], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. Project “On the quest of the golden fleece in Amazonia: The first herpetological DNA - barcoding expedition to unexplored areas on the Napo watershed, Ecuador”, funded by the Secretaría Nacional de Ciencia y Tecnología del Ecuador (Senescyt- ENSAMBLE Grant #PIC-17-BENS-001), The World Academy of Sciences (TWAS Grant #16-095) granted to HMOA; the project Critical Ecosystem Partnership Fund (CEPF) grant CEPF-108984 “Amphibian Conservation in the Abra de Zamora Key Biodiversity Area of Ecuador” granted to DAO, PS, and DS; "Respuestas a la crisis de biodiversidad: La descripción de especies como herramienta de conservación, INÉDITA PIC-20-INE-USFQ-001” funded by Senescyt and granted to JMG; “USFQ-HUBI ID 48 Taxonomía, Biogeografía y Conservación de Anfibios y Reptiles” and "USFQ-HUBI ID 1057 “Impact of habitat changes on the biological diversity of the northern tropical Andes” funded by grants by Universidad san Francisco de Quito, The International Union for Conservation of Nature IUCN and NatureServe (with the support from the National Science Foundation’s Dimensions of Biodiversity program, award 1136586), and by Programa “Becas de Excelencia”, Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT), Ecuador granted to DFCH; Collaboration Grant ‘Investigación para la conservación de especies de anfibios críticamente amenazadas HUBI 16871’ and COCIBA Grant ‘Investigación y conservación de las especies críticamente amenazadas de ranas arlequín (Bufonidae: Atelopus spp HUBI 16808) granted to JMG.

References

  • 1.Betts J, Young RP, Hilton-Taylor C, Hoffmann M, Rodríguez JP, Stuart SN, et al. A framework for evaluating the impact of the IUCN Red List of threatened species. Conservation Biology. 2020;34(3):632–43. 10.1111/cobi.13454 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Collen B, Dulvy NK, Gaston KJ, Gärdenfors U, Keith DA, Punt AE, et al. Clarifying misconceptions of extinction risk assessment with the IUCN Red List. Biology Letters. 2016;12(4):20150843. 10.1098/rsbl.2015.0843 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.IUCN. Guidelines for Using the IUCN Red List Categories and Criteria: Version 14. Standards and Petitions Subcommittee of the International Union for the Conservation of Nature.; 2019 [10/10/2020]. Available from: http://intranet.iucn.org/webfiles/doc/SSC/RedList/RedListGuidelines.pdf.
  • 4.Vasconcelos TS, da Silva FR, dos Santos TG, Prado VH, Provete DB. Biogeographic Patterns of South American Anurans. Switzerland: Springer International Publishing; 2019 2019. 149 p. [Google Scholar]
  • 5.Vitt LJ, Caldwell JP. Herpetology: An introductory biology of amphibians and reptiles. London: Academic Press; 2014. 757 p. [Google Scholar]
  • 6.Hof C, Araújo MB, Jetz W, Rahbek C. Additive threats from pathogens, climate and land-use change for global amphibian diversity. Nature. 2011;480(7378):516–9. 10.1038/nature10650 [DOI] [PubMed] [Google Scholar]
  • 7.McCain CM, Colwell RK. Assessing the threat to montane biodiversity from discordant shifts in temperature and precipitation in a changing climate. Ecology Letters. 2011;14(12):1236–45. 10.1111/j.1461-0248.2011.01695.x [DOI] [PubMed] [Google Scholar]
  • 8.Scheele BC, Pasmans F, Skerratt LF, Berger L, Martel A, Beukema W, et al. Amphibian fungal panzootic causes catastrophic and ongoing loss of biodiversity. Science. 2019;363(6434):1459–63. 10.1126/science.aav0379 [DOI] [PubMed] [Google Scholar]
  • 9.Ceballos G, Ehrlich P, Dirzo R. Biological Annihilation via the Ongoing Sixth Mass Extinction Signaled by Vertebrate Population Losses and Declines. PNAS. 2017;114(30):E6089–E96. 10.1073/pnas.1704949114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Menéndez-Guerrero PA, Davies TJ, Green DM. Extinctions of Threatened Frogs may Impact Ecosystems in a Global Hotspot of Anuran Diversity. Herpetologica. 2020;76(2):121–31. 10.1655/0018-0831-76.2.121 [DOI] [Google Scholar]
  • 11.Reider K. Survival at the Summits: Amphibian Responses to Thermal Extremes, Disease, and Rapid Climate Change in the High Tropical Andes: digitalcommons.fiu.edu; 2018.
  • 12.AmphibiaWeb. AmphibiaWeb: Information on amphibian biology and conservation: Berkeley, California; 2020 [05/10/2020]. 2020:[Available from: http://amphibiaweb.org/.
  • 13.Centro-Jambatu. Anfibios de Ecuador: Fundación Otonga, Quito, Ecuador; 2020 [28/10/2020]. Available from: http://www.anfibiosecuador.ec/index.php.
  • 14.Ron SR, A. M-V, A. OD. Anfibios del Ecuador. Version 2019.0. Quito, Ecuador: Museo de Zoología, Pontificia Universidad Católica del Ecuador; 2020 [27/10/2020]. Available from: https://bioweb.bio/faunaweb/amphibiaweb.
  • 15.Frost DR. Amphibian Species of the World: an Online Reference. New York, USA: American Museum of Natural History; 2020. [03/18/2020]. 6.1:[Available from: http://research.amnh.org/herpetology/amphibia/index.php. [Google Scholar]
  • 16.Mayani-Parás F, Botello F, Castañeda S, Sánchez-Cordero V. Impact of Habitat Loss and Mining on the Distribution of Endemic Species of Amphibians and Reptiles in Mexico. Diversity. 2019;11(2019):1–11. 10.3390/d11110210. [DOI] [Google Scholar]
  • 17.Botello F, Sarkar S, Sánchez-Cordero V. Impact of habitat loss on distributions of terrestrial vertebrates in a high-biodiversity region in Mexico. Biological Conservation. 2015;184:59–65. [Google Scholar]
  • 18.Cisneros-Heredia DF. Habitat loss and climate change impacts on Neotropical anurans: Implications for in-situ conservation. A case study with Glassfrogs from eastern Ecuador (Amphibia: Anura: Centrolenidae). London: M.Sc. Dissertation. King’s College; 2008.
  • 19.Lessmann J, Muñoz J, Bonaccorso E. Maximizing species conservation in continental Ecuador: a case of systematic conservation planning for biodiverse regions. Ecology and Evolution. 2014;2014(1):1–13. 10.1002/ece3.1102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Tapia-Armijos MF, Homeier J, Espinosa CI, Leuschner C, Cruz Mdl. Deforestation and Forest Fragmentation in South Ecuador since the 1970s –Losing a Hotspot of Biodiversity. PLOS ONE. 2015;10(9):e0133701. 10.1371/journal.pone.0133701 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gomes VHF, Vieira ICG, Salomão RP, ter Steege H. Amazonian tree species threatened by deforestation and climate change. Nature Climate Change. 2019;9(7):547–53. 10.1038/s41558-019-0500-2 [DOI] [Google Scholar]
  • 22.Bustamante MR, Ron SR, Coloma LA. Cambios en la Diversidad en Siete Comunidades de Anuros en los Andes de Ecuador. Biotropica. 2005;37(2):180–9. [Google Scholar]
  • 23.La Marca E, Lips K, Lötters S, Puschendorf R, Ibáñez R, Rueda-Almonacid JV, et al. Catastrophic Population Declines and Extinctions in Neotropical Harlequin Frogs (Bufonidae: Atelopus). Biotropica 2006;37(2):190–201. [Google Scholar]
  • 24.Coloma LA, Duellman WE, Almendariz A, Ron S, Terán-Valdez A, Guayasamin JM. Five new (extinct?) species of Atelopus (Anura: Bufonidae) from Andean Colombia, Ecuador, and Peru. Zootaxa. 2010;2574(2010):1–54. [Google Scholar]
  • 25.IUCN. The IUCN Red List of Threatened Species. Version 2021–1. 2021 [04/09/2021]. Available from: https://www.iucnredlist.org.
  • 26.Wake DB, Vredenburg VT. Are we in the midst of the sixth mass extinction? A view from the world of amphibians. Proceedings of the National Academy of Sciences. 2008;105(Supplement 1):11466–73. 10.1073/pnas.0801921105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ron SR, Guayasamin JM, Menéndez-Guerrero P. Biodiversity and conservation status of Ecuadorian Amphibians. In: Heatwole H, L. B-AC, Wilkinson HW, editors. Amphibian Biology Part 2. 9. Baulkham Hills, Australia: Surrey Beatty & Soons PTY Limited; 2011. p. 129–70. [Google Scholar]
  • 28.González-del-Pliego P, Freckleton RP, Edwards DP, Koo MS, Scheffers BR, Pyron RA, et al. Phylogenetic and Trait-Based Prediction of Extinction Risk for Data-Deficient Amphibians. Current Biology. 2019;29(9):1557–63.e3. 10.1016/j.cub.2019.04.005 [DOI] [PubMed] [Google Scholar]
  • 29.Howard SD, Bickford DP. Amphibians over the edge: silent extinction risk of Data Deficient species. Diversity and Distributions. 2014;20(7):837–46. 10.1111/ddi.12218 [DOI] [Google Scholar]
  • 30.Grant T, Rada M, Anganoy-Criollo M, Batista A, Dias PH, Jeckel AM, et al. Phylogenetic Systematics of Dart-Poison Frogs and Their Relatives Revisited (Anura: Dendrobatoidea). South American Journal of Herpetology. 2017;12(s1). [Google Scholar]
  • 31.Guayasamin JM, Castroviejo-Fisher S, Trueb L, Ayarzagüena J, Rada M, Vilà C. Phylogenetic systematics of Glassfrogs (Amphibia: Centrolenidae) and their sister taxon Allophryne ruthveni. Zootaxa. 2009;2100(2009):1–97. [Google Scholar]
  • 32.Castroviejo-Fisher S, DE LA RIVA I, POMBAL JR JP, da Silva HR, Rojas-Runjaic FJ, MEDINA-MÉNDEZ E, et al. Phylogenetic systematics of egg-brooding frogs (Anura: Hemiphractidae) and the evolution of direct development. Zootaxa. 2015;4004(1):1–75. [DOI] [PubMed] [Google Scholar]
  • 33.Hedges SB, Duellman WE, Heinicke MP. New World direct-developing frogs (Anura: Terrarana): Molecular phylogeny, classification, biogeography, and conservation. Zootaxa. 2008;2008(1737):1–182. [Google Scholar]
  • 34.Syfert MM, Joppa L, Smith MJ, Coomes DA, Bachman SP, Brummitt NA. Using species distribution models to inform IUCN Red List assessments. Biological Conservation. 2014;177(2014):174–84. 10.1016/j.biocon.2014.06.012. [DOI] [Google Scholar]
  • 35.Sánchez-Nivicela JC, Peloso PLV, Urgiles VL, Yánez-Muñoz MH, Sagredo Y, Páez N, et al. Description and phylogenetic relationships of a new trans-Andean species of Elachistocleis Parker 1927 (Amphibia, Anura, Microhylidae). Zootaxa. 2020;4779(3):18. Epub 2020-05-20. 10.11646/zootaxa.4779.3.2 [DOI] [PubMed] [Google Scholar]
  • 36.Guayasamin J, Cisneros-Heredia D, McDiarmid R, Peña P, Hutter C. Glassfrogs of Ecuador: Diversity, Evolution, and Conservation. Diversity. 2020;12(6):1–222. [Google Scholar]
  • 37.Páez NB, Ron SR. Systematics of Huicundomantis, a new subgenus of Pristimantis (Anura, Strabomantidae) with extraordinary cryptic diversity and eleven new species. ZooKeys. 2019;868(2019):1–112. 10.3897/zookeys.868.26766 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Urgiles VL, Székely P, Székely D, Christodoulides N, Sanchez-Nivicela JC, Savage AE. Genetic delimitation of Pristimantis orestes (Lynch, 1979) and P. saturninoi Brito et al., 2017 and description of two new terrestrial frogs from the Pristimantis orestes species group (Anura, Strabomantidae). ZooKeys. 2019;864:111–46. 10.3897/zookeys.864.35102 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Reyes-Puig C, Pablo Reyes-Puig J, A Velarde-Garcéz D, Nicolás D, Mancero E, José Navarrete M, et al. A new species of terrestrial frog Pristimantis (Strabomantidae) from the upper basin of the Pastaza River, Ecuador. ZooKeys. 2019;832:113–33. 10.3897/zookeys.832.30874 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Carvajal-Endara S, Coloma LA, Morales-Mite MA, Guayasamin JM, Szekely P, Duellman WE. Phylogenetic systematics, ecology, and conservation of marsupial frogs (Anura: Hemiphractidae) from the Andes of southern Ecuador, with descriptions of four new biphasic species. Zootaxa. 2019;4562(1):1–102. [DOI] [PubMed] [Google Scholar]
  • 41.Navarrete MJ, Venegas PJ, Ron SR. Two new species of frogs of the genus Pristimantis from Llanganates National Park in Ecuador with comments on the regional diversity of Ecuadorian Pristimantis (Anura, Craugastoridae). Zookeys. 2016;(593):139–62. 10.3897/zookeys.593.8063 PubMed Central PMCID: PMC4926633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ortega-Andrade HM, Rojas-Soto OR, Valencia JH, Espinosa de los Monteros A, Morrone JJ, Ron SR, et al. Insights from integrative systematics reveal cryptic diversity in Pristimantis Frogs (Anura: Craugastoridae) from the upper Amazon basin. PLoS One. 2015;10(11):e0143392. 10.1371/journal.pone.0143392 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Reyes-Puig C, Yánez Muñóz M, Ortega J, Ron S. Relaciones filogenéticas del subgénero Hypodictyon (Anura: Strabomantidae: Pristimantis) con la descripción de tres especies nuevas de la región del Chocó. Revista Mexicana de Biodiversidad. 2020;91(2020):1–38. [Google Scholar]
  • 44.Chapman AD. Principles of Data Quality. Version 1.0. Copenhagen: Report for the Global Biodiversity Information Facility; 2005 2005.
  • 45.Barve N, Barve V, Jiménez-Valverde A, Lira-Noriega A, Maher SP, Peterson AT, et al. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecological Modelling. 2011;222(11):1810–9. 10.1016/j.ecolmodel.2011.02.011. [DOI] [Google Scholar]
  • 46.Bedia J, Herrera S, Gutiérrez JM. Dangers of using global bioclimatic datasets for ecological niche modeling. Limitations for future climate projections. Global and Planetary Change. 2013;107(2013):1–12. 10.1016/j.gloplacha.2013.04.005. [DOI] [Google Scholar]
  • 47.Peterson AT, Soberón J. Species distribution modeling and ecological niche modeling: getting the concepts right. Natureza & Conservação. 2012;10(2):102–7. [Google Scholar]
  • 48.Broennimann O, Fitzpatrick MC, Pearman PB, Petitpierre B, Pellissier L, Yoccoz NG, et al. Measuring ecological niche overlap from occurrence and spatial environmental data. Global Ecology and Biogeography. 2012;21(4):481–97. [Google Scholar]
  • 49.Pearman PB, Guisan A, Broennimann O, Randin CF. Niche dynamics in space and time. Trends in Ecology and Evolution. 2008;23(3):149–58. 10.1016/j.tree.2007.11.005 [DOI] [PubMed] [Google Scholar]
  • 50.Fick SE, Hijmans RJ. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology. 2017;37(12):1–14. 10.1002/joc.5086 [DOI] [Google Scholar]
  • 51.Escobar LE, Lira-Noriega A, Medina-Vogel G, Townsend Peterson A. Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference. Geospatial Health. 2014;9(1):221–9. 10.4081/gh.2014.19 [DOI] [PubMed] [Google Scholar]
  • 52.Riahi K, Rao S, Krey V, Cho C, Chirkov V, Fischer G, et al. RCP 8.5—A scenario of comparatively high greenhouse gas emissions. Climatic Change. 2011;109(1–2):33–57. [Google Scholar]
  • 53.Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions. 2011;17(2011):43–57. [Google Scholar]
  • 54.Cobos ME, Peterson AT, Barve N, Osorio-Olvera L. kuenm: an R package for detailed development of ecological niche models using Maxent. PeerJ. 2019;7(2019):e6281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Qiao H, Escobar LE, Peterson AT. Accessible areas in ecological niche comparisons of invasive species: Recognized but still overlooked. Scientific reports. 2017;7(1):1213. 10.1038/s41598-017-01313-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Morrone JJ. Biogeographical regionalisation of the Neotropical region. Zootaxa. 2014;3782(1):1–110. 10.11646/zootaxa.3782.1.1 [DOI] [PubMed] [Google Scholar]
  • 57.Tennekes M. tmap: Thematic Maps in R. Journal of Statistical Software. 2018;84(6):1–39.30450020 [Google Scholar]
  • 58.Salafsky N, Salzer D, Stattersfield AJ, Hilton-Taylor C, Neugarten R, Butchart SHM, et al. A Standard Lexicon for Biodiversity Conservation: Unified Classifications of Threats and Actions. Conservation Biology. 2008;22(4):897–911. 10.1111/j.1523-1739.2008.00937.x [DOI] [PubMed] [Google Scholar]
  • 59.IUCN. Guidelines for application of IUCN Red List Criteria at regional and national levels. Gland, Switzerland and Cambridge: Version 4.0. IUCN Species Survival Commission; 2012. 41 p.
  • 60.Pauli H, Gottfried M, Reiter K, Klettner C, Grabherr G. Signals of range expansions and contractions of vascular plants in the high Alps: observations (1994?2004) at the GLORIA master site Schrankogel, Tyrol, Austria. Global Change Biology. 2007;13(1):147–56. 10.1111/j.1365-2486.2006.01282.x [DOI] [Google Scholar]
  • 61.Warren DL, Seifert SN. Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Ecological Applications. 2011;21(2):335–42. 10.1890/10-1171.1 [DOI] [PubMed] [Google Scholar]
  • 62.MAE. Sistema de Clasificación de los Ecosistemas del Ecuador Continental. Quito, Ecuador: Ministerio del Ambiente del Ecuador, Subsecretaría de Patrimonio Natural; 2013. 232 p.
  • 63.MAE. Mapa Interactivo del Ministerio del Ambiente Quito: Ministerio del Ambiente y Agua del Ecuador; 2020 [10/06/2020]. Available from: http://ide.ambiente.gob.ec/mapainteractivo/.
  • 64.IGM. Cartas topográficas del Ecuador 1: 250 000 Quito, Ecuador: Instituto Geográfico Militar; 2002 [cited 2008 27 /02/ 2009]. 1.0:[Available from: http://www.igm.gov.ec/cms/index.php.
  • 65.Armenteras D, Espelta J, Rodríguez N, Retana J. Deforestation dynamics and drivers in different forest types in Latin America: Three decades of studies (1980–2010). Global Environmental Change. 2017;46(2017):139–47. 10.1016/j.gloenvcha.2017.09.002 [DOI] [Google Scholar]
  • 66.Roy BA, Zorrilla M, Endara L, Thomas DC, Vandegrift R, Rubenstein JM, et al. New Mining Concessions Could Severely Decrease Biodiversity and Ecosystem Services in Ecuador. Tropical Conservation Science. 2018;11(2018):-20. 10.1177/1940082918780427 Sage CA: Los Angeles, CA. [DOI] [Google Scholar]
  • 67.INEC. Census Data Base of 2010 2010 [updated 201010/10/2020]. Available from: http://www.inec.gob.ec/nuevo_inec/items/censos_2010/cpv/antecedentes.pdf.
  • 68.Bässler C, Müller J, Hothorn T, Kneib T, Badeck F, Dziock F. Estimation of the extinction risk for high-montane species as a consequence of global warming and assessment of their suitability as cross-taxon indicators. Ecological indicators. 2010;10(2):341–52. [Google Scholar]
  • 69.Menéndez‐Guerrero PA, Graham CH. Evaluating multiple causes of amphibian declines of Ecuador using geographical quantitative analyses. Ecography. 2013;36(2013):1–14. [Google Scholar]
  • 70.Mooers AO, Faith DP, Maddison WP. Converting endangered species categories to probabilities of extinction for phylogenetic conservation prioritization. PLoS One. 2008;3(11):1–5. 10.1371/journal.pone.0003700 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Guillory W, Muell M, Summers K, Brown J. Phylogenomic Reconstruction of the Neotropical Poison Frogs (Dendrobatidae) and Their Conservation. Diversity. 2019;11(8):126. [Google Scholar]
  • 72.Lessmann J, Fajardo J, Bonaccorso E, Bruner A. Cost-effective protection of biodiversity in the western Amazon. Biological Conservation. 2019;235:250–9. 10.1016/j.biocon.2019.04.022. [DOI] [Google Scholar]
  • 73.Pearman PB. Correlates of amphibian diversity in an altered landscape of Amazonian Ecuador. Conservation Biology. 1997;11(5):1211–25. [Google Scholar]
  • 74.Harcourt AH, Parks SA. Threatened primates experience high human densities: adding an index of threat to the IUCN Red List criteria. Biological Conservation. 2003;109(1):137–49. 10.1016/S0006-3207(02)00146-5 [DOI] [Google Scholar]
  • 75.Cruz-Cordovez C, Herrera I, Espinoza F, Rizzo K,… New record of a feral population of Lithobates catesbeianus Shaw, 1802 in a protected area (Santay Island) in the Ecuadorian coast: reabic.net; 2020.
  • 76.Martín-Torrijos L, Sandoval-Sierra JV, Muñoz J, Diéguez-Uribeondo J, Bosch J, Guayasamin JM. Rainbow trout (Oncorhynchus mykiss) threaten Andean amphibians. Neotropical Biodiversity. 2016;2(1):26–36. [Google Scholar]
  • 77.Krynak KL, Wessels DG, Imba SM, Krynak TJ, Snyder EB, Lyons JA, et al. Call survey indicates rainbow trout farming alters glassfrog community composition in the Andes of Ecuador. Amphibian & Reptile Conservation. 2020;14(2):1–11. [Google Scholar]
  • 78.Lever C. Naturalized Reptiles and Amphibians of the World. New York, USA: Oxford University Press; 2003. 344 p. [Google Scholar]
  • 79.Cisneros-Heredia DF. The Hitchhiker Wave: Non-native Small Terrestrial Vertebrates in the Galapagos. In: Torres M, Mena C, editors. Understanding Invasive Species in the Galapagos Islands Social and Ecological Interactions in the Galapagos Islands. Cham: Springer; 2018. p. 95–139. [Google Scholar]
  • 80.Kearney S, Adams V, Fuller R, Possingham H, Watson J. Estimating the benefit of well-managed protected areas for threatened species conservation. Oryx. 2020;54(2020):276–84. [Google Scholar]
  • 81.Monsarrat S, Boshoff AF, Kerley GIH. Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records. Ecography. 2019;42(1):125–36. 10.1111/ecog.03944 [DOI] [Google Scholar]
  • 82.Páez-Vacas MI, Coloma LA, Santos JC. Systematics of the Hyloxalus bocagei complex (Anura: Dendrobatidae), description of two new cryptic species, and recognition of H. maculosus. Zootaxa. 2010;2711(2010):1–75. [Google Scholar]
  • 83.Caminer M, Ron S. Systematics of treefrogs of the Hypsiboas calcaratus and Hypsiboas fasciatus species complex (Anura, Hylidae) with the description of four new species. ZooKeys. 2014;370(2014):1–68. 10.3897/zookeys.370.6291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Arteaga A, Pyron RA, Peñafiel N, Romero-Barreto P, Culebras J, Bustamante L, et al. Comparative Phylogeography Reveals Cryptic Diversity and Repeated Patterns of Cladogenesis for Amphibians and Reptiles in Northwestern Ecuador. PLoS ONE. 2016;11(4):e0151746. 10.1371/journal.pone.0151746 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Chasiluisa VD, Caminer MA, Varela-Jaramillo A, Ron SR. Description and phylogenetic relationships of a new species of treefrog of the Osteocephalus buckleyi species group (Anura: Hylidae). Neotropical Biodiversity. 2020;6(1):21–36. [Google Scholar]
  • 86.Zipkin EF, DiRenzo GV, Ray JM, Rossman S, Lips KR. Tropical snake diversity collapses after widespread amphibian loss. Science. 2020;367(6479):814–6. 10.1126/science.aay5733 [DOI] [PubMed] [Google Scholar]
  • 87.Angulo A, Icochea J. Cryptic species complexes, widespread species and conservation: lessons from Amazonian frogs of the Leptodactylus marmoratus group (Anura: Leptodactylidae). Systematics and Biodiversity. 2010;8(3):357–70. [Google Scholar]
  • 88.Ortega Andrade HM, Rojas-Soto OR, Espinosa de los Monteros A, Valencia J, Read M, Ron S. Revalidation of Pristimantis brevicrus (Anura, Terrarana) with comments on cryptic diversity in a widespread Amazonian direct-developing frog. The Herpetological Journal. 2017;26(2017):87–103. https://goo.gl/XeMq73. [Google Scholar]
  • 89.Scherz MD, Glaw F, Hutter CR, Bletz MC, Rakotoarison A, Köhler J, et al. Species complexes and the importance of Data Deficient classification in Red List assessments: The case of Hylobatrachus frogs. PloS one. 2019;14(8):1–32. 10.1371/journal.pone.0219437 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Nori J, Loyola R. On the Worrying Fate of Data Deficient Amphibians. PLOS ONE. 2015;10(5):e0125055. 10.1371/journal.pone.0125055 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Stefan Lötters

25 Feb 2021

PONE-D-20-34320

Red List assessment for amphibian species of Ecuador: a multidimensional approach for their conservation

PLOS ONE

Dear Dr. Ortega-Andrade,

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.

The one non-anonymous referee and myself like the paper and find it makes an important contribution to EC amphibian conservation. The referee suggests

- to strengthen if global or regional/bational assessment,

- to better work out the differences between this and earlier assessments,

- that language might need some improvement,

apart from few others aspects (for detials see reviewer comments).

I agree that these things are relatively easy to manage and much improve the paper, which is very good anyway.

Please submit your revised manuscript by Apr 11 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

We look forward to receiving your revised manuscript.

Kind regards,

Stefan Lötters

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.

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 in the Competing Interests section:

"The authors have declared that no competing interest exist"

We note that one or more of the authors are employed by a commercial company: Independent researcher.

3.1. Please provide an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in your study. If the funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors' salaries and/or research materials, please review your statements relating to the author contributions, and ensure you have specifically and accurately indicated the role(s) that these authors had in your study. You can update author roles in the Author Contributions section of the online submission form.

Please also include the following statement within your amended Funding Statement.

“The funder provided support in the form of salaries for authors [insert relevant initials], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.”

If your commercial affiliation did play a role in your study, please state and explain this role within your updated Funding Statement.

3.2. Please also provide an updated Competing Interests Statement declaring this commercial affiliation along with any other relevant declarations relating to employment, consultancy, patents, products in development, or marketed products, etc.  

Within your Competing Interests Statement, please confirm that this commercial affiliation does not alter your adherence to all PLOS ONE policies on sharing data and materials by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests) . If this adherence statement is not accurate and  there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include both an updated Funding Statement and Competing Interests Statement in your cover letter. We will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

4. We note that Figures 1, 4, 6, 7, 8 and S3, S4, S5 in your submission contain map 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:

4.1.    You may seek permission from the original copyright holder of Figures 1, 4, 6, 7, 8 and S3, S4, S5 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].”

4.2.    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/

[Note: HTML markup is below. Please do not edit.]

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: Yes

**********

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

Reviewer #1: Yes

**********

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

**********

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

**********

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: Manuscript: Red List assessment for amphibian species of Ecuador: a multidimensional approach for their conservation

Reviewer: Luis Fernando Marin da Fonte (IUCN Amphibian Specialist Group for Brazil, Amphibian Survival Alliance)

In this paper, the authors provide a very detailed and complete assessment of the conservation status of amphibians in Ecuador besides providing the most up to date list of species for the country. It is a very impressive and important work with great potential to benefit the conservation of this group of animals. Besides having a local importance, with the potential to inform public policies, it can also serve as a role model to other countries globally. I congratulate the authors for their work and recommend its publication with minor changes. That said, I have some suggestions to improve the overall quality of the manuscript and think that, before publication, some important issues should be addressed, as following:

1) with regard to the writing, I acknowledge that the authors are not native English speakers and admire their willingness to publish in a foreign language. Since I am also not a native English speaker, I cannot comment much on the language (though I have made some minor suggestions). The introduction reads very well, but the discussion reads a bit difficult sometimes, with too long and often confusing sentences. I suggest using shorter sentences to improve clarity.

2) my main criticism to this paper (though relatively easy to fix) is that it is not clear in the manuscript if this is a global or a regional/national assessment. Moreover, it is a bit confusing what are the ties of this assessment with the IUCN.

Global assessments (published on the IUCN Red List website) take into account the complete geographic range of taxa, while regional assessments take into account occurrence inside a specific region (usually inside country boundaries). Of course, for species endemic to a given country, global assessments will match national assessments, but this is not the case for species shared by different countries. The IUCN provides specific guidelines for regional assessments, but it is not clear if the authors followed them.

All things considered, one would imagine this is indeed a national assessment. However, things get a bit confusing when authors say that they have used the ‘complete distributional range’ of species (line 181). This would not be a problem per se, but it is not clear in the manuscript if the records from other countries were validated by experts - in the same way that records from inside Ecuador were validated by Ecuadorian experts in the workshops. Moreover, it is not clear if the search for records outside Ecuador was exhaustive or not (if I got it right, they were gathered only from online databases?). From what I have understood, records from outside Ecuador were not collected and analysed with the same level of accuracy than the records from inside Ecuador. If this is the case, you would have two kind of data: high quality data from inside Ecuador, and possibly incomplete/unreviewed/not validated data from outside Ecuador. If this is a regional/national assessment, this should not be a problem, since the most relevant data for the evaluations are the ones from inside Ecuador. But if this was intended to be a global assessment, then we would have a problem. In this sense, I think it is fundamental to make it clear, both in the title and in the body of the text, that (or if) this is a national assessment. Moreover, it is important to make clear if data from outside Ecuador was validated by experts and if the search for records was exhaustive (in other words, is this data comparable with the data from inside Ecuador?). Finally, it is important to show how exactly the data from outside Ecuador was used, since this is fundamental to determine if this is a global or a regional/national assessment.

Still in this topic, it is not clear if the authors followed the IUCN guidelines or only the IUCN criteria and categories. This might seem perfumery, but it is not. The IUCN guidelines inform how the criteria and categories should be used, and this is even more relevant in regional assessments. The criteria, in their turn, inform if and how the taxa fall under the different threat categories. In this sense, since the criteria and categories are the same for global and regional assessments, but the guidelines are not, it is not informative enough to only say that the assessment followed “IUCN criteria” (lines 68, 298), “IUCN standards” (lines 298, 459) or “IUCN protocols” (line 298), whatever ‘standard’ and ‘protocol’ mean in this context. It is important to know if the assessment followed the IUCN guidelines and, even more important, if it followed the guidelines for regional assessments.

Finally, it is important to make clear if this is an official IUCN assessment (i.e. if members of the IUCN Amphibian Red List Authority were present in the workshops and if the assessment was validated by external members of the IUCN Red List Authority). I specifically mention this because in line 330 the authors say “… the IUCN Red List assessment resulted in…”. If this is not an official IUCN assessment, you cannot say that. In this case, I suggest changing for “... the assessment following the IUCN Red List guidelines and criteria resulted...”. Same thing in line 151.

I also suggest reviewing the references to all IUCN documents. They are generally incomplete in the list of references and/or cited without criteria in the body of the text. For instance, the authors do cite the IUCN guidelines for regional assessments (ref. 72), though in a different context that I would expect (line 488), but do not cite it when explaining how the assessments were conducted (line 298). In line 298, the authors wrongly cite the IUCN Red List itself (ref. 4, incomplete), which informs nothing about the process, but do not cite the IUCN guidelines (ref. 3, 57 and 72). For consistency, I would also recommend avoiding using different versions of the guidelines (ref. 3, 57 and 72) throughout the manuscript – unless they deal with different and specific topics.

3) I suggest using the term ‘endemic’ in a more consistent way throughout the entire manuscript. In many cases, it is not clear if authors mean ‘endemic to Ecuador’ (what it is especially relevant if this is a national assessment) or ‘endemic to a specific region inside Ecuador’.

4) I suggest improving the discussion on the differences between the present and previous assessments. The authors say: “The differences are probably due to broader knowledge, including taxonomic revisions and species descriptions, but also to the different assessment procedures”. This is too superficial and must be better explained.

First thing to note: are both assessments really comparable? Are they both regional/national or global assessments? Did both assessments use data only from inside Ecuador or also from other countries? Did both assessments use the same guidelines? What are the “different assessment procedures” referred by the authors? Which assessment did not follow the IUCN guidelines? This must be specified. Once this is clarified, one can try to understand why there were so many differences.

DD species, for instance. What has changed since the last assessment that allowed the authors to assess 127 species that were previously considered DD? Did the knowledge about these species increased so much over the past 10 years? Or did the definition of 'sufficient' and 'insufficient' 'information to be evaluated' that in fact change? This is especially relevant to note if we take into account that the authors of both assessments are not the same.

Further information and discussion are also needed for taxa that are now listed in higher and lower categories. Again, what explains these differences? Different methods and approaches? This should not be the case, at least in theory, if both assessments followed the IUCN guidelines. Even though there is room for subjectivity and personal judgements in the application of IUCN criteria, this alone should not be enough to explain such big differences between both assessments (139 taxa). Possible explanations for it could be: a) one of the assessments did not (correctly) follow the IUCN guidelines (and that is why it is so important to stress out if and which guidelines were followed in this work); b) scientific knowledge has greatly improved over the past 10 years, allowing for much more refined and detailed assessments; c) over the past 10 years, the overall environmental conditions have improved in some regions (allowing populations/species previously under threat to recover) and decreased in others (threatening populations/species that were in a better situation when the previous assessment was conducted). If this is really the case, it is especially relevant and would be, in my view, the main finding of this study.

Anyway, I guess the most plausible explanation for the differences between both assessments is the combination of all these factors (and maybe others). But authors must discuss this better in the paper and try to provide more detailed explanations. Providing specific examples to illustrate these cases would be especially important.

5) In the section ‘Towards a robust and objective methodology to evaluate species conservation status’, authors suggest their methodology has the potential to improve red list assessments. What are the specific improvements/developments of your methodology with relation to others? How can other evaluators replicate your methodology? In my view, the methods are not described in the manuscript in such a detailed way that it would allow easy and straightforward adoption in other assessments. I acknowledge that the authors have used a robust methodology with the potential to improve future evaluations. But I am not sure if this manuscript, in the way that it is presented, provides enough information on how the methodology can be replicated and used in a standardised way in future assessments. In my view, the methodology is described in a sufficient and adequate way to explain how authors processed their data. This is clear. But, at least to me, it is not clear how they used the data they generated to feed the evaluations following the IUCN guidelines and criteria.

In this sense, I am not sure that it is accurate to say that the methodology is a “key step of improving the protocol for Red List assessment in the effort to validate the taxonomic and spatial database”. If authors really want to keep this, they should make clear: a) to which ‘Red List assessment’ are they referring? To the IUCN ones? If so, please specify (and include references), and point out what exactly are the new things and benefits that the new methodology brings to the table; b) what are the differences, the improvements and advances of the new methodology with relation to the existing ones? c) how exactly the new approach was used when applying the IUCN criteria? d) how can the new methodology be replicated and implemented by other evaluators in other regions and countries?

In fact, if authors are confident about the potential of the new methodology (which I believe they are, and I myself would agree with them), I would suggest writing a second methodological paper, where they describe the methods in a didactic way (i.e. in a guideline format). I would specially recommend contacting the IUCN Amphibian Red List Authority to propose a joint paper incorporating the new methodology into the IUCN guidelines. But, to be honest, I don’t consider that the manuscript, as it is currently written, can be used as a model for future evaluations. Not because I don’t consider the methodology robust (which I do), but mainly because it is not described in a way that would allow its implementation by other evaluators. In other words, it is described as “this is how we did” but not as “this is how you should do”. I encourage authors to write a second methodological paper with the “how to do”.

Additional comments and suggestions can be found in the pdf file. Congratulations to the entire team on this great work! The overall quality of the work is impressive. I think now it is just a matter of improving the manuscript a little bit to reflect with more precision the high quality of all the work that was already done.

**********

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

[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-20-34320_reviewer_luismarin.pdf

Attachment

Submitted filename: review plos paper.docx

PLoS One. 2021 May 6;16(5):e0251027. doi: 10.1371/journal.pone.0251027.r002

Author response to Decision Letter 0


9 Apr 2021

RESPONSE TO REVIEWERS (HMOA: in Blue)

Dear Dr. Ortega-Andrade,

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.

The one non-anonymous referee and myself like the paper and find it makes an important contribution to EC amphibian conservation. The referee suggests

- to strengthen if global or regional/national assessment,

- to better work out the differences between this and earlier assessments,

- that language might need some improvement,

apart from few others aspects (for detials see reviewer comments).

I agree that these things are relatively easy to manage and much improve the paper, which is very good anyway.

Please submit your revised manuscript by Apr 11 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

We look forward to receiving your revised manuscript.

Kind regards,

Stefan Lötters

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.

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

HMOA: Ok. done.

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.

HMOA: Ok. done.

3. Thank you for stating the following in the Competing Interests section:

"The authors have declared that no competing interest exist"

We note that one or more of the authors are employed by a commercial company: Independent researcher.

HMOA: We changed to the correct affiliation for SMRJ, MGL and DCJ into the PARG Project, managed by the Ministry of Environmental and Water, Ecuador.

3.1. Please provide an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in your study. If the funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors' salaries and/or research materials, please review your statements relating to the author contributions, and ensure you have specifically and accurately indicated the role(s) that these authors had in your study. You can update author roles in the Author Contributions section of the online submission form.

Please also include the following statement within your amended Funding Statement.

HMOA: “The funder provided support in the form of salaries for authors [SMRJ,MGL, DCJ], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.” In this specific case, the authors worked in a project managed by the Ministry of Environment and Water of Ecuador.

If your commercial affiliation did play a role in your study, please state and explain this role within your updated Funding Statement.

HMOA: This is not that case.

3.2. Please also provide an updated Competing Interests Statement declaring this commercial affiliation along with any other relevant declarations relating to employment, consultancy, patents, products in development, or marketed products, etc.

HMOA: This is not that case.

Within your Competing Interests Statement, please confirm that this commercial affiliation does not alter your adherence to all PLOS ONE policies on sharing data and materials by including the following statement: "This does not alter our adherence to PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests) . If this adherence statement is not accurate and there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

HMOA: This is not that case.

Please include both an updated Funding Statement and Competing Interests Statement in your cover letter. We will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

HMOA. Thanks for this observation, but this is not the case.

4. We note that Figures 1, 4, 6, 7, 8 and S3, S4, S5 in your submission contain map 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:

HMOA: All base maps used to make figures 1, 4, 6, 7, 8 and S3, S4, S5 are available to the public from the interactive Map, from the Ministry of Environment and Water- Ecuador. http://ide.ambiente.gob.ec/mapainteractivo/ and Geographic Military Institute from Ecuador (public shapefiles): http://www.igm.gob.ec/work/files/downloads/mapafisico.html that are not copyrighted.

4.1. You may seek permission from the original copyright holder of Figures 1, 4, 6, 7, 8 and S3, S4, S5 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].”

HMOA: All maps are available to the public from the interactive Map, from the Ministry of Environment and Water- Ecuador. http://ide.ambiente.gob.ec/mapainteractivo/ and Geographic Military Institute from Ecuador (public shapefiles): http://www.igm.gob.ec/work/files/downloads/mapafisico.html that are not copyrighted.

4.2. 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/

HMOA: All maps are available to the public from the interactive Map, from the Ministry of Environment and Water- Ecuador. http://ide.ambiente.gob.ec/mapainteractivo/ and Geographic Military Institute from Ecuador (public shapefiles): http://www.igm.gob.ec/work/files/downloads/mapafisico.html that are not copyrighted.

REVIEWER 1.

Manuscript: Red List assessment for amphibian species of Ecuador: a multidimensional approach for their conservation

Reviewer: Luis Fernando Marin da Fonte (IUCN Amphibian Specialist Group for Brazil, Amphibian Survival Alliance)

In this paper, the authors provide a very detailed and complete assessment of the conservation status of amphibians in Ecuador besides providing the most up to date list of species for the country. It is a very impressive and important work with great potential to benefit the conservation of this group of animals. Besides having a local importance, with the potential to inform public policies, it can also serve as a role model to other countries globally. I congratulate the authors for their work and recommend its publication with minor changes. That said, I have some suggestions to improve the overall quality of the manuscript and think that, before publication, some important issues should be addressed, as following:

1) with regard to the writing, I acknowledge that the authors are not native English speakers and admire their willingness to publish in a foreign language. Since I am also not a native English speaker, I cannot comment much on the language (though I have made some minor suggestions). The introduction reads very well, but the discussion reads a bit difficult sometimes, with too long and often confusing sentences. I suggest using shorter sentences to improve clarity.

HMOA: Ok. Thanks for this advice. The complete text has been reviewed.

2) My main criticism to this paper (though relatively easy to fix) is that it is not clear in the manuscript if this is a global or a regional/national assessment. Moreover, it is a bit confusing what are the ties of this assessment with the IUCN.

HMOA: Yes. We clarified that it is a National assessment along with the text.

Global assessments (published on the IUCN Red List website) take into account the complete geographic range of taxa, while regional assessments take into account occurrence inside a specific region (usually inside country boundaries). Of course, for species endemic to a given country, global assessments will match national assessments, but this is not the case for species shared by different countries. The IUCN provides specific guidelines for regional assessments, but it is not clear if the authors followed them.

HMOA: Ok, thanks. We have detailed the “Guidelines for Application of IUCN Red List Criteria at Regional and National Levels”, cited into the paper (line 280, page 12).

All things considered, one would imagine this is indeed a national assessment. However, things get a bit confusing when authors say that they have used the ‘complete distributional range’ of species (line 181). This would not be a problem per se, but it is not clear in the manuscript if the records from other countries were validated by experts - in the same way that records from inside Ecuador were validated by Ecuadorian experts in the workshops. Moreover, it is not clear if the search for records outside Ecuador was exhaustive or not (if I got it right, they were gathered only from online databases?). From what I have understood, records from outside Ecuador were not collected and analysed with the same level of accuracy than the records from inside Ecuador. If this is the case, you would have two kind of data: high quality data from inside Ecuador, and possibly incomplete/unreviewed/not validated data from outside Ecuador. If this is a regional/national assessment, this should not be a problem, since the most relevant data for the evaluations are the ones from inside Ecuador. But if this was intended to be a global assessment, then we would have a problem. In this sense, I think it is fundamental to make it clear, both in the title and in the body of the text, that (or if) this is a national assessment. Moreover, it is important to make clear if data from outside Ecuador was validated by experts and if the search for records was exhaustive (in other words, is this data comparable with the data from inside Ecuador?). Finally, it is important to show how exactly the data from outside Ecuador was used, since this is fundamental to determine if this is a global or a regional/national assessment.

HMOA: We explain in “Methods” that the niche models were reconstructed with records for the complete distributional range of each species, but the red list assessment was restricted nationally for Ecuador. Records from outside Ecuador were analyzed with the same level of accuracy as the records from inside Ecuador, based on literature records, type localities, and digital databases (photographs, etc…). We based this method on paper-like (cited in line 188, page 8) Syfert et al (2014), Using species distribution models to inform IUCN Red List assessments. Biological Conservation, 177:174-184.

Still in this topic, it is not clear if the authors followed the IUCN guidelines or only the IUCN criteria and categories. This might seem perfumery, but it is not. The IUCN guidelines inform how the criteria and categories should be used, and this is even more relevant in regional assessments. The criteria, in their turn, inform if and how the taxa fall under the different threat categories. In this sense, since the criteria and categories are the same for global and regional assessments, but the guidelines are not, it is not informative enough to only say that the assessment followed “IUCN criteria” (lines 68, 298), “IUCN standards” (lines 298, 459) or “IUCN protocols” (line 298), whatever ‘standard’ and ‘protocol’ mean in this context. It is important to know if the assessment followed the IUCN guidelines and, even more important, if it followed the guidelines for regional assessments.

HMOA: Yes- As commented before, we have detailed the “Guidelines for Application of IUCN Red List Criteria at Regional and National Levels”, cited into the paper (line 280, page 12).

Finally, it is important to make clear if this is an official IUCN assessment (i.e. if members of the IUCN Amphibian Red List Authority were present in the workshops and if the assessment was validated by external members of the IUCN Red List Authority). I specifically mention this because in line 330 the authors say “… the IUCN Red List assessment resulted in…”. If this is not an official IUCN assessment, you cannot say that. In this case, I suggest changing for “... the assessment following the IUCN Red List guidelines and criteria resulted...”. Same thing in line 151.

HMOA: Nationally, this red list assessment is officially validated by the Ministry of Environment of Ecuador (Ministerial agreement 069). National Red List Authority participated in the workshops (Diego F. Cisneros-Heredia, National Red List Authority, Stephanie Arellano, Programme Officer, IUCN Regional Office for South America) but currently we are collaborating with International Red List Authority (Kelsey Neam [Programme Officer - Amphibian Red List Authority - IUCN SSC Amphibian Specialist Group], and Jennifer Luedtke Manager of IUCN Red List Assessments - Global Wildlife Conservation Global Coordinator - Amphibian Red List Authority - IUCN SSC Amphibian Specialist Group). As commented before, we have detailed the “Guidelines for Application of IUCN Red List Criteria at Regional and National Levels”, cited in the paper (line 194, page 9).

I also suggest reviewing the references to all IUCN documents. They are generally incomplete in the list of references and/or cited without criteria in the body of the text. For instance, the authors do cite the IUCN guidelines for regional assessments (ref. 72), though in a different context that I would expect (line 488), but do not cite it when explaining how the assessments were conducted (line 298). In line 298, the authors wrongly cite the IUCN Red List itself (ref. 4, incomplete), which informs nothing about the process, but do not cite the IUCN guidelines (ref. 3, 57 and 72). For consistency, I would also recommend avoiding using different versions of the guidelines (ref. 3, 57 and 72) throughout the manuscript – unless they deal with different and specific topics.

HMOA: Ok. We have reviewed and updated suggestions.

3) I suggest using the term ‘endemic’ in a more consistent way throughout the entire manuscript. In many cases, it is not clear if authors mean ‘endemic to Ecuador’ (what it is especially relevant if this is a national assessment) or ‘endemic to a specific region inside Ecuador’.

HMOA: Ok. We clarified that “endemic” is referred for exclusive Ecuadorian species (line 260, page 149).

4) I suggest improving the discussion on the differences between the present and previous assessments. The authors say: “The differences are probably due to broader knowledge, including taxonomic revisions and species descriptions, but also to the different assessment procedures”. This is too superficial and must be better explained.

First thing to note: are both assessments really comparable? Are they both regional/national or global assessments? Did both assessments use data only from inside Ecuador or also from other countries? Did both assessments use the same guidelines? What are the “different assessment procedures” referred by the authors? Which assessment did not follow the IUCN guidelines? This must be specified. Once this is clarified, one can try to understand why there were so many differences.

HMOA: Ok. We have extended the comparisons between both assessments along the discussion and included the Table 4, to summarize in detail the conservation status changes from the evaluation in 2011 compared with the current evaluation.

DD species, for instance. What has changed since the last assessment that allowed the authors to assess 127 species that were previously considered DD? Did the knowledge about these species increased so much over the past 10 years? Or did the definition of 'sufficient' and 'insufficient' 'information to be evaluated' that in fact change? This is especially relevant to note if we take into account that the authors of both assessments are not the same.

HMOA: To clarifying those statements, we have included the Table 4 into the manuscript, that detail the number of amphibian species that changed their conservation status from the previous Ecuadorian Red List [27]. Diagonal: Taxa that maintained the same conservation category between assessments. Upper diagonal: Taxa that decrease their conservation category; Lower diagonal: Taxa that increase their conservation category

Further information and discussion are also needed for taxa that are now listed in higher and lower categories. Again, what explains these differences? Different methods and approaches? This should not be the case, at least in theory, if both assessments followed the IUCN guidelines. Even though there is room for subjectivity and personal judgements in the application of IUCN criteria, this alone should not be enough to explain such big differences between both assessments (139 taxa). Possible explanations for it could be: a) one of the assessments did not (correctly) follow the IUCN guidelines (and that is why it is so important to stress out if and which guidelines were followed in this work); b) scientific knowledge has greatly improved over the past 10 years, allowing for much more refined and detailed assessments; c) over the past 10 years, the overall environmental conditions have improved in some regions (allowing populations/species previously under threat to recover) and decreased in others (threatening populations/species that were in a better situation when the previous assessment was conducted). If this is really the case, it is especially relevant and would be, in my view, the main finding of this study.

Anyway, I guess the most plausible explanation for the differences between both assessments is the combination of all these factors (and maybe others). But authors must discuss this better in the paper and try to provide more detailed explanations. Providing specific examples to illustrate these cases would be especially important.

HMOA: Thanks for those comments. We have explained and include statements regarding differences in both evaluations. Punctually, we include this phrase into the text (page 19): “Compared to the previous Ecuadorian National Amphibian Red List [27], we add assessments for 144 species and additionally provide a status evaluation for 135 species that were considered DD at that time (Table 4; S3 Table). As a result of our study, 190 maintained the same conservation status, but 302 taxa have changed - 168 species have now been found to qualify in a higher Red List category, while 64 have been assigned to a lower extinction risk category-. The differences are probably due to broader knowledge, including taxonomic revisions of sanitized locality records, new information of species descriptions along the last decade, ecological models for most of the threatened species, database compilation, and evaluation workshops together with IUCN authorities and specialists [3,59,27].”

5) In the section ‘Towards a robust and objective methodology to evaluate species conservation status’, authors suggest their methodology has the potential to improve red list assessments. What are the specific improvements/developments of your methodology with relation to others? How can other evaluators replicate your methodology? In my view, the methods are not described in the manuscript in such a detailed way that it would allow easy and straightforward adoption in other assessments. I acknowledge that the authors have used a robust methodology with the potential to improve future evaluations. But I am not sure if this manuscript, in the way that it is presented, provides enough information on how the methodology can be replicated and used in a standardised way in future assessments. In my view, the methodology is described in a sufficient and adequate way to explain how authors processed their data. This is clear. But, at least to me, it is not clear how they used the data they generated to feed the evaluations following the IUCN guidelines and criteria.

In this sense, I am not sure that it is accurate to say that the methodology is a “key step of improving the protocol for Red List assessment in the effort to validate the taxonomic and spatial database”. If authors really want to keep this, they should make clear: a) to which ‘Red List assessment’ are they referring? To the IUCN ones? If so, please specify (and include references), and point out what exactly are the new things and benefits that the new methodology brings to the table; b) what are the differences, the improvements and advances of the new methodology with relation to the existing ones? c) how exactly the new approach was used when applying the IUCN criteria? d) how can the new methodology be replicated and implemented by other evaluators in other regions and countries?

In fact, if authors are confident about the potential of the new methodology (which I believe they are, and I myself would agree with them), I would suggest writing a second methodological paper, where they describe the methods in a didactic way (i.e. in a guideline format). I would specially recommend contacting the IUCN Amphibian Red List Authority to propose a joint paper incorporating the new methodology into the IUCN guidelines. But, to be honest, I don’t consider that the manuscript, as it is currently written, can be used as a model for future evaluations. Not because I don’t consider the methodology robust (which I do), but mainly because it is not described in a way that would allow its implementation by other evaluators. In other words, it is described as “this is how we did” but not as “this is how you should do”. I encourage authors to write a second methodological paper with the “how to do”.

HMOA: Thanks for all those valuable comments. Yes, we are currently working on a second paper regarding the “how to do” as guidelines (López et al, in prep). We have also included key references regarding IUCN protocols, participation of authorities from the IUCN in the workshops and methodology design (lines 1947-199, page 9), and detailed data analysis methods. Furthermore, we have included a fourth table, to summarize in detail the conservation status changes from the evaluation in 2011 compared with the current evaluation.

Additional comments and suggestions can be found in the pdf file. Congratulations to the entire team on this great work! The overall quality of the work is impressive. I think now it is just a matter of improving the manuscript a little bit to reflect with more precision the high quality of all the work that was already done.

HMOA: Thanks a lot for all the interesting and valuable comments. We really appreciate your critical [constructive] review.

Attachment

Submitted filename: Response to reviewers.docx

Decision Letter 1

Stefan Lötters

19 Apr 2021

Red List assessment of amphibian species of Ecuador: a multidimensional approach for their conservation

PONE-D-20-34320R1

Dear Dr. Ortega-Andrade,

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,

Stefan Lötters

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Stefan Lötters

21 Apr 2021

PONE-D-20-34320R1

Red List assessment of amphibian species of Ecuador: a multidimensional approach for their conservation

Dear Dr. Ortega-Andrade:

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

Prof. Dr. Stefan Lötters

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 Table. Institution code, Institution name, database source, categories, number of records, and number of species assessed in the Red List for Ecuadorian amphibians.

    (XLSX)

    S2 Table. Multi-Criteria Decision Making (MCDM) through the Analytic Hierarchy Process (AHP) for construct the threat model (Fig 4).

    (XLSX)

    S3 Table. Species list of Ecuadorian amphibians, endemism, conservation areas, major threats, extinction risk criteria, subcriteria, and metrics used for the Red List Assessment.

    (XLSX)

    S4 Table. The Red List for Ecuadorian amphibians, with details of criteria and subcriteria used for the evaluation of national categories.

    Categories: CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient, NE = Not Evaluated, correspond to Rana catesbeiana, an invasive species in Ecuador.

    (XLSX)

    S5 Table. The number of taxa assessed by genera in the current evaluation, categories, and threatened representativeness in the group (%).

    (XLSX)

    S6 Table. Species (percentage) and categories of threat assessed by type of protected area in Ecuador.

    CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient. SNAP = National System of Protected Areas, from the Spanish acronym.

    (XLSX)

    S7 Table. Species (percentage) and categories of the conservation status of amphibians by major threats in Ecuador.

    CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient.

    (XLSX)

    S8 Table. Species and categories of threat assessed by natural regions and Protected Area in Ecuadorian amphibians.

    CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient.

    (XLSX)

    S9 Table. Species (percentage) and categories of threat assessed by natural regions and provinces in Ecuadorian amphibians.

    CR = Critically Endangered, EN = Endangered, VU = Vulnerable, NT = Near Threatened, LC = Least Concern, DD = Data Deficient.

    (XLSX)

    S1 Fig. Automated procedure was designed using the ModelBuilder tool in ArcMap v.10 to perform threat model iterative analysis.

    (DOCX)

    S2 Fig. The threat model for Ecuadorian amphibians, raster image.

    https://drive.google.com/file/d/1wkdx8DgDwKhVEyElDhc23wmEiknFw4DE/view?usp=sharing.

    (DOCX)

    S3 Fig. Cumulative richness models of taxa qualified as critically endangered by family.

    (DOCX)

    S4 Fig. Cumulative richness models of taxa qualified as Endangered by family.

    (DOCX)

    S5 Fig. Cumulative richness models of taxa qualified as Vulnerable by family.

    (DOCX)

    Attachment

    Submitted filename: PONE-D-20-34320_reviewer_luismarin.pdf

    Attachment

    Submitted filename: review plos paper.docx

    Attachment

    Submitted filename: Response to reviewers.docx

    Data Availability Statement

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


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES