Growth type and relative condition factor as a function of the body shape of deep-water crustaceans in the Colombian Caribbean Sea

Abstract

Length-weight relationships (LWR) and relative condition factor were described for species of deep-water crustaceans caught with bottom trawls in a depth range between 150 and 535 m during August and December of 2009, and March and May of 2010 in the Colombian Caribbean Sea. A linear regression was performed using the logarithmically transformed data to calculate the a and b coefficients of the LWR for 22 crustacean species corresponding to 13 families and 19 genera and three types of crustaceans (shrimp, crab, lobster). Six crustacean species showed a maximum total length greater than that reported in SeaLifeBase: Garymunida longipes (77.00 mm), Eunephrops bairdii (220.00 mm), Metanephrops binghami (197.46 mm), Penaeopsis serrata (149.00 mm), Polycheles typhlops (196.27 mm) and Pleoticus robustus (240.00 mm). A total of 11 species (50.0%) exhibited isometric growth, five species (22.7%) negative allometric and six species (27.3%) positive allometric. This study shows the first estimates of LWR for 12 species of deep-water crustaceans in the Colombian Caribbean Sea. We demonstrate for the first time that the growth parameters (intercept and slope) of the LWR varying significantly as a function of the body shape of crabs, lobsters and shrimps in deep-water crustaceans.

Introduction

Deep-sea crustaceans support important global fisheries and are very important for the conservation of biodiversity as they support a wide variety of species (Chang et al., 2012; Boenish et al., 2022)); therefore, knowledge of population aspects is relevant for the implementation of management and conservation strategies. New potential deep-water crustacean fishing resources have been identified in the Colombian Caribbean (Paramo & Saint-Paul, 2012a; Paramo & Saint-Paul, 2012b; Paramo & Saint-Paul, 2012c). However, a potential sustainable use of those resources needs an ecosystem approach to fisheries management (EAF) that balance diverse societal objectives, by taking account of biotic, abiotic, and human components of ecosystems and their interactions and applying a holistic approach to fisheries management (Garcia et al., 2003; Bianchi, 2008). Deep-water crustaceans with the highest biomass in the Colombian Caribbean are the deep-water giant red shrimp (Aristaeomorpha foliacea, Risso, 1827), the royal red shrimp (Pleoticus robustus, Smith, 1885) (Paramo & Saint-Paul, 2012a), the pink speckled deep-water shrimp (Penaeopsis serrata, Bate, 1881) (Paramo & Saint-Paul, 2012b), the deep-water lobster (Metanephrops binghami, Boone, 1927) (Paramo & Saint-Paul, 2012c), the Squat lobster (Agononida longipes, Milne-Edwards, 1880) (Espitia, Paramo & Wolff, 2019) and the shrimp (Pleosionika longipes, Milne-Edwards, 1881) (Pérez, Paramo & Wolff, 2019). However, more scientific information is required about the life cycle, length-weight relationship and population characteristics of deep-water crustaceans, both commercial and non-commercial, before initiating a new commercial fishery. The length-weight relationships (LWR) provide information on the type of growth, the state of the species, habitat conditions and the morphometric characteristics of the species (Erzini, 1994; Gonçalves et al., 1997; Morato et al., 2001; Froese, 2006; Kampouris, Kouroupakis & Batjakas, 2020; Falsone et al., 2022). LWR and condition factor parameters are obtained from length frequency data, which are very useful for estimating biomass and comparing the life history of species between regions (Erzini, 1994; Santos et al., 2002; Froese, 2006). However, LWR parameters may vary between habitats and regions, so accurate estimation of local parameters is essential for comparative studies in stock assessment (Vaz-dos Santos & Gris, 2016; Sousa, Vasconcelos & Riera, 2020). Additionally, the condition factor based on LWR data is relevant for examining the welfare of populations (Froese, 2006; Koushlesh et al., 2017; Jisr et al., 2018). In data-limited fisheries, often lack sufficient biological information to infer the status of the fish stocks, generally based only on catches, indices, or size classes (Shephard et al., 2020). Another issue of limited-data for fisheries management is the insufficient data the information is insufficient to produce quantitative stock assessment (Dowling et al., 2011), to determine biological reference points for fisheries management (Dowling et al., 2011; Edwards, 2015). However, despite their importance, information on LWRs and condition factor are only available for a limited number of species (Froese, 2006) and are very scarce in data-limited fisheries from the Colombian Caribbean. In this way, in this work the LWR and the relative condition factor of 22 species of deep-water crustaceans in the Colombian Caribbean Sea were determined, with the purpose of contributing to the knowledge of the biology of deep-water crustaceans.

Material and Methods

Study area and sampling

Four surveys were carried out during August and December of 2009, and March and May of 2010, on deep-water ecosystems of the Colombian Caribbean Sea. Biological data of deep-sea crustaceans were collected by trawling at depths 150–535 m. Sampling was carried out on a commercial fishing vessel using a Furuno 1150 echo sounder (28 kHz transducer) (Fig. 1). A trawl net was used with a cod-end mesh size of 44.5 mm from knot to knot. The duration of each trawl on average was 30 min and the distance travelled was calculated using a Global Positioning System (GPS) Garmin MAP 76CSx.

Figure 1. Study area in the Colombian Caribbean Sea.

Red circles indicate the sampled stations. Own elaboration by CITEPT-Unimagdalena research group.

The captured individuals were identified to the lowest possible taxonomic level using specialized guides and literature for each taxon (Carpenter, 2002). The total length of each individual was measured with a digital calliper with a precision of 0.01 mm, and the total weight was estimated using an analytical balance with an accuracy of 0.01 mg.

The permit, care and use of experimental animals complied with Autoridad Nacional de Licencias Ambientales de Colombia (ANLA), animal welfare laws, guidelines and policies as approved by Universidad del Magdalena reference number 1293-2013.

Statistical analysis

The information of the parameters of the LWR for each one of the crustacean species was consulted in the SeaLifeBase (https://www.sealifebase.ca/) 06/2023 data base (Palomares & Pauly, 2023) and according to information available in the scientific literature. The LWR parameters of the crustacean species were determined by applying the following allometric Eq. (1) (Keys, 1928; Le Cren, 1951; Froese, 2006):

$${\displaystyle W=a{L}^b}$$ (1)

where W is the total body weight (g), L the total length (mm), for shrimp and lobster was measured from the tip of the rostrum to the end of the telson, while for crabs the width of the carapace was measured end to end of the lateral spines; a (intercept) y b (slope) are the estimated parameters applying the linear regression model with the log-transformed data (natural logarithm) according to the following Eq. (2):

$${\displaystyle log{W}_i=loga+blog{L}_i+{ϵ}_i.}$$ (2)

The corrected back-transformed predicted value of the response variable was calculated by multiplying the back-transformed predicted value by the correction factor (cf), where RSE is the residual standard error and log_e is used to adjust for the base of the natural logarithm (Ogle, 2016):

$${\displaystyle cf=e\frac{{\left[lo{g}_{e}RSE\right]}^2}{2}}$$ (3)

To evaluate the type of isometric growth if b = 3.0, negative allometric if b < 3.0 and positive allometric if b > 3.0, a t-student test was used to determine significant differences from the estimated value of b and its 95% confidence interval (C.I.) (Zar, 2010).

To evaluate the influence of body morphology on the growth parameters a (intercept) and b (slope) of the LWR of the crustacean species, a robust multiple regression model was applied with the data grouped according to the type of crustacean (shrimp, crab, lobster) (Froese, 2006).

The relative condition factor (Krel) of the evaluated crustacean was determined according to the following Eq. (3) (Le Cren, 1951; Froese, 2006):

$${\displaystyle K_{rel}=\frac{W}{a{L}^b}}$$ (4)

where W is the observed total body weight (g) of the crustacean specimens and aL^b is the estimated weight from the length-weight relationships. A good growth state of the species was identified when the Krel value ≥ 1.0, while a species in poor growth conditions when the Krel value <1.0 (Le Cren, 1951; Jisr et al., 2018). A one-sample t-test was used to verify significant differences between the Krel and the expected value of Krel = 1.0 (Zar, 2010). All statistical and graphical analyses were performed in the R 4.2.3 language (R Core Team, 2023), using the modelr, FSAmisc, moments and ggplot2 packages (Wickham, 2016; Komsta & Novomestky, 2022; Ogle, 2022; Wickham, 2022).

An analysis of the influence of body morphology on the intercept (a) and slope (b) parameters of the LWR was performed, and linear regression were estimated for three groups of crustaceans: crab, lobster, shrimp. In order to evaluate differences in linear relationships between groups (crab, lobster, shrimp), an analysis of covariance was performed (ANCOVA) once the assumptions of homoscedasticity of the slopes (parallelism) were met with the data transformed into logarithm (Zar, 2010).

Results

A total of 22 crustacean species belonging to 13 families were analyzed, of which the Munididae, Nephropidae and Pandalidae families were the most representative with four, three and three species, respectively (Table 1). Regarding body shape, 10 species showed a shrimp body shape, nine lobsters and three crabs. The most abundant species were Penaeopsis serrata (1,714 specimens), Garymunida longipes (1099 specimens), Pleoticus robustus (930 specimens), Aristaeomorpha foliacea (799 specimens), Glyphocrangon neglecta (688 specimens), Metanephrops binghami (590 specimens), Achelous spinicarpus (358 specimens), Plesionika longipes (329 specimens), Glyphocrangon longleyi (286 specimens) and Solenocera acuminata (166 specimens), belonging to families Penaeidae, Munididae, Solenoceridae, Aristeidae, Glyphocrangonidae, Nephropidae, Portunidae, Pandalidae, Glyphocrangonidae and Solenoceridae, respectively (Table 1). The sizes of the shrimps ranged from 31.79 mm of the pink speckled shrimp (Penaeopsis serrata) to 240 mm of the Royal red shrimp (Pleoticus robustus), crabs ranged from 13.59 mm of the crab (Achelous spinicarpus) to 68.69 mm of the five spine purse crab (Myropsis quinquespinosa) and lobsters ranged from 18.33 mm of the Squat lobster (Antillimunida evermanni) to 220.00 mm of the Red lobster (Eunephrops bairdii).

Table 1. Descriptive statistics for the 22 deep-sea crustaceans in Colombian Caribbean Sea.

Family	Species	Author	N	Body shape	Total length (mm) Mean ± SD (Range)	Total weight (g) Mean ± SD (Range)
Aristeidae	Aristaeomorpha foliacea	(Risso, 1827)	799	Shrimp	151.89 ± 28.35 (72.53–225.00)	22.84 ± 12.23 (2.00–57.20)
Calappidae	Acanthocarpus alexandri	Stimpson, 1871	12	Crab	38.83 ± 8.07 (25.54–50.92)	32.89 ± 20.97 (5.90–76.50)
Crangonidae	Parapontocaris vicina	(Dardeau & Heard, 1983)	73	Shrimp	78.96 ± 11.51 (54.75–110.12)	4.99 ± 2.18 (1.50–9.40)
Glyphocrangonidae	Glyphocrangon longleyi	Schmitt, 1931	286	Shrimp	82.18 ± 15.38 (54.41–125.00)	5.76 ± 5.12 (0.70–25.40)
	Glyphocrangon neglecta	Faxon, 1896	688	Shrimp	70.09 ± 8.00 (35.69–116.00)	2.68 ± 2.18 (2.00–57.20)
Leucosiidae	Myropsis quinquespinosa	Stimpson, 1871	45	Crab	45.80 ± 10.77 (26.89–68.69)	36.67 ± 26.86 (5.80–117.90)
Munididae	Antillimunida evermanni	(Benedict, 1901)	69	Lobster	46.34 ± 7.56 (18.33–73.26)	4.77 ± 2.98 (0.30–17.90)
	Antillimunida flinti	(Benedict, 1902)	12	Lobster	48.52 ± 6.51 (36.45–56.41)	4.63 ± 1.47 (1.90–6.20)
	Babamunida forceps	(A. Milne Edwards, 1880)	18	Lobster	53.67 ± 9.40 (35.39–67.34)	5.29 ± 2.64 (1.30–10.50)
	Garymunida longipes	(A. Milne Edwards, 1880)	1099	Lobster	45.09 ± 6.49 (20.66–77.00)	3.77 ± 1.45 (0.39–11.35)
Munidopsidae	Munidopsis riveroi	Chace, 1939	16	Lobster	41.49 ± 7.99 (31.42–56.30)	3.30 ± 1.99 (1.50–8.40)
Nephropidae	Eunephrops bairdii	Smith, 1885	107	Lobster	126.72 ± 34.43 (53.12–220.00)	38.64 ± 37.41 (1.50–218.10)
	Metanephrops binghami	(Boone, 1927)	590	Lobster	119.56 ± 27.43 (53.65–197.46)	28.65 ± 19.93 (1.70–109.34)
	Nephropsis aculeata	Smith, 1881	113	Lobster	70.05 ± 15.53 (43.83–119.16)	5.32 ± 4.02 (0.90–20.00)
Pandalidae	Heterocarpus ensifer	A. Milne-Edwards, 1881	147	Shrimp	100.37 ± 14.81 (63.43–130.30)	7.60 ± 3.35 (1.50–16.60)
	Plesionika edwardsii	(Brandt, 1851)	46	Shrimp	109.91 ± 23.22 (60.98–162.00)	4.25 ± 2.31 (0.70–10.39)
	Plesionika longipes	(A. Milne-Edwards, 1881)	329	Shrimp	132.62 ± 20.72 (70.87–203.00)	9.01 ± 4.26 (1.30–36.20)
Penaeidae	Penaeopsis serrata	Spence Bate, 1881	1714	Shrimp	104.55 ± 16.66 (31.79–149.00)	5.99 ± 2.69 (0.29–16.30)
Polychelidae	Polycheles typhlops	Heller, 1862	156	Lobster	87.94 ± 21.03 (44.00–196.27)	13.63 ± 11.64 (1.00–94.41)
Portunidae	Achelous spinicarpus	Stimpson, 1871	358	Crab	24.72 ± 4.83 (13.59–50.19)	8.55 ± 5.45 (1.30–43.80)
Solenoceridae	Pleoticus robustus	(Smith, 1885)	930	Shrimp	162.97 ± 30.02 (62.00–240.00)	32.73 ± 18.22 (1.09–96.10)
	Solenocera acuminata	Pérez Farfante & Bullis, 1973	166	Shrimp	103.00 ± 18.85 (57.00–199.00)	12.49 ± 8.13 (1.50–71.90)

Notes.

N

sample size

SD

standard deviation

Bold

maximum total length longer than in SeaLifeBase

Species with a maximum total length greater than that reported in SeaLifeBase were Garymunida longipes (77.00 mm), Eunephrops bairdii (220.00 mm), Metanephrops binghami (197.46 mm), Penaeopsis serrata (149.00 mm), Polycheles typhlops (196.27 mm) and Pleoticus robustus (240.00 mm) (Table 1). Linear regressions were significant for all species (p < 0.05), with coefficients of determination (r²) between 0.73 and 0.96, except for the lobsters Garymunida longipes and Antillimunida flinti with the lowest values of 0.56 and 0.68, respectively (Table 2). The intercept of the linear regression (a) showed a range of values for shrimps between 6.5326E-08 and 4.4700E-05, for lobsters between 3.5531E-06 and 5.6059E-04 and for crabs between 1.2717E-04 and 5.9070E-04. The slope parameters (b) were for shrimps between 2.41 and 4.09, for lobsters between 2.30 and 3.29 and for crabs between 2.95 and 3.31 (Table 2).

Table 2. Length-weight relationships (LWR) for the 22 deep-water crustaceans in Colombian Caribbean Sea.

Family	Species	Body shape	Relationship parameters							Krel Mean ± SD	t-test
			a	95% C.I. of a	b	95% C.I. of b	r 2	t-student	Growth type
Aristeidae	Aristaeomorpha foliacea	Shrimp	1.1571E−05	7.3505E−06–1.8215E−05	2.86	2.77–2.95	0.83	0.00	Allometric (-)	1.03 ± 0.28	1.00
Calappidae	Acanthocarpus alexandri (ϕ)	Crab	1.5821E−04	1.8009E−05–1.3899E−03	3.31	2.71–3.90	0.94	0.28	Isometric	1.02 ± 0.18	0.61
Crangonidae	Parapontocaris vicina (ϕ)(Δ)	Shrimp	1.2994E−05	3.5077E−06–4.8132E−05	2.93	2.63–3.23	0.84	0.63	Isometric	1.02 ± 0.19	0.78
Glyphocrangonidae	Glyphocrangon longleyi	Shrimp	6.5326E−08	3.7290E−08–1.1444E−07	4.09	3.97–4.22	0.93	0.00	Allometric (+)	1.02 ± 0.20	0.95
	Glyphocrangon neglecta (ϕ)	Shrimp	4.4206E−07	2.4300E−07–8.0419E−07	3.65	3.51–3.79	0.79	0.00	Allometric (+)	1.02 ± 0.32	0.98
Leucosiidae	Myropsis quinquespinosa (ϕ)(Δ)	Crab	1.2717E−04	4.3470E−05–3.7200E−04	3.23	2.95–3.52	0.93	0.10	Isometric	1.03 ± 0.23	0.77
Munididae	Antillimunida evermanni (ϕ)(Δ)	Lobster	5.5929E−05	1.7366E−05–1.8012E−04	2.93	2.63–3.24	0.85	0.66	Isometric	1.02 ± 0.23	0.81
	Antillimunida flinti (ϕ)(Δ)	Lobster	4.1815E−04	4.7411E−06–3.6880E−02	2.39	1.23–3.54	0.68	0.27	Isometric	1.02 ± 0.24	0.64
	Babamunida forceps (ϕ)(Δ)	Lobster	4.0042E−05	2.0311E−06–7.8940E−04	2.93	2.18–3.69	0.81	0.86	Isometric	1.03 ± 0.24	0.70
	Garymunida longipes (ϕ)	Lobster	5.6059E−04	3.5499E−04–8.8527E−04	2.30	2.18–2.42	0.56	0.00	Allometric (-)	1.04 ± 0.29	1.00
Munidopsidae	Munidopsis riveroi (ϕ)(Δ)	Lobster	9.2196E−05	1.4943E−05–5.6885E−04	2.79	2.30–3.28	0.91	0.37	Isometric	1.01 ± 0.15	0.62
Nephropidae	Eunephrops bairdii (ϕ)(Δ)	Lobster	3.5531E−06	1.9132E−06–6.5988E−06	3.29	3.16–3.42	0.96	0.00	Allometric (+)	1.02 ± 0.18	0.84
	Metanephrops binghami (ϕ)	Lobster	3.8607E−06	2.7855E−06–5.3509E−06	3.27	3.20–3.33	0.94	0.00	Allometric (+)	1.02 ± 0.19	0.99
	Nephropsis aculeata (Δ)	Lobster	1.0125E−05	4.6940E−06–2.1841E−05	3.06	2.88–3.24	0.91	0.50	Isometric	1.02 ± 0.18	0.86
Pandalidae	Heterocarpus ensifer (ϕ)(Δ)	Shrimp	2.3680E−06	1.0187E−06–5.5042E−06	3.23	3.05–3.42	0.89	0.01	Allometric (+)	1.02 ± 0.17	0.86
	Plesionika edwardsii (Δ)	Shrimp	4.4700E−05	5.4415E−06–3.6720E−04	2.41	1.97–2.86	0.73	0.01	Allometric (-)	1.06 ± 0.39	0.84
	Plesionika longipes (ϕ)(Δ)	Shrimp	8.2265E−06	4.0646E−06–1.6650E−05	2.83	2.68–2.97	0.82	0.02	Allometric (-)	1.02 ± 0.23	0.97
Penaeidae	Penaeopsis serrata (ϕ)	Shrimp	3.6517E−05	2.7011E−05–4.9370E−05	2.57	2.50–2.63	0.78	0.00	Allometric (-)	1.03 ± 0.22	1.00
Polychelidae	Polycheles typhlops (Δ)	Lobster	4.2898E−05	1.4162E−05–1.2994E−04	2.79	2.54–3.04	0.76	0.09	Isometric	1.06 ± 0.42	0.97
Portunidae	Achelous spinicarpus (ϕ)	Crab	5.9070E−04	4.4436E−04–7.8523E−04	2.95	2.86–3.04	0.92	0.26	Isometric	1.01 ± 0.17	0.94
Solenoceridae	Pleoticus robustus (ϕ)	Shrimp	3.6061E−06	2.9410E−06–4.4217E−06	3.12	3.08–3.16	0.96	0.00	Allometric (+)	1.01 ± 0.13	0.97
	Solenocera acuminata (ϕ)	Shrimp	1.1801E−05	5.1777E−06–2.6899E−05	2.97	2.79–3.15	0.87	0.72	Isometric	1.02 ± 0.20	0.91

Notes.

a

intercept

b

slope

C.I.

lower and upper confidence (95%)

r²

determination coefficient

t-student

p-value of t-student

I

isometric growth

A(-)

negative allometric growth

A(+)

positive allometric growth

Krel

relative condition factor

t-test

p-value of one-sample t-test

(ϕ)

No available data of LWR in SeaLifeBase

(Δ)

First report of the LWR in the Colombian Caribbean Sea

According to growth type, 11 species (50.0%) showed isometric growth (b = 3), of which two species were shrimps, six were lobsters and three were crabs. However, six species (27.3%) showed positive allometric growth (b>3), of which four species were shrimps and two species were lobsters. Nevertheless, five species (22.7%) showed negative allometric growth (b<3), of which four were shrimps and one was lobster. It is important to highlight that 17 species evaluated do not have LWR values in SeaLifeBase (https://www.sealifebase.ca/) and the first LWR report for 12 species of deep-water crustaceans in the Colombian Caribbean Sea is shown (Table 2).

The parameters of the LWR linear regression, the intercept log (a) and slope (b), are highly dependent on the body shape of the crustacean species (Fig. 2). Thus, shrimp species tend to be positive allometric (40.0%), negative allometric (40.0%) and only 20.0% were isometric, while lobster and crab species tend to be isometric, with 66.7% and 100%, respectively, although 22.2% and 11.1% of the lobsters were positive allometric and negative allometric, respectively (Table 2). The results of the ANCOVA revealed that there were significant differences ( p < 0.01) between the slopes (b) of body shape of crabs, lobsters and shrimps in the LWR relationship. When the LWR linear regression was made between the intercept log(a) and the slope b of all crustaceans, the r² = 0.575 was low. The slope was larger in lobsters (b = −2.238) and smaller in crabs (b = −1.815) and shrimps (b = −1.743) (Fig. 2).

Figure 2. Scatter plot of mean log a over mean b for 22 deep-water (three of types of crustaceans: shrimp, crab, lobster) in Colombian Caribbean Sea.

All crustaceans: black line; crab: blue rhombus; Lobster: green triangle; shrimp: red square.

Krel values were greater than 1 in all crustacean species, confirming healthy conditions. The species that showed larger Krel were the shrimp P. edwardsii and the lobster P. typhlops and G. longipes (Fig. 3). Although there are no significant differences (Kruskal-Wallis test, p-value = 0.1586) between the Krel, crabs had lowest Krel values on average 1.02, while lobsters and shrimps had 1.03 (Table 2).

Figure 3. Scatter of the relationship between the relative condition factor (Krel) and the body condition factor (b) in type of crustaceans (shrimp, crab, lobster).

All crustaceans: black line; crab: blue rhombus; Lobster: green triangle; shrimp: red square.

Discussion

From the point of view of sustainable fisheries management, it is relevant to know the size structure of the populations, especially in these populations of deep-water crustaceans in the Colombian Caribbean that have not been commercially exploited and the growth type and relative condition factor can be considered sustainable biological reference points. In this way, when analyzing the sizes, the demographic parameters of a population can be described in relation to the fishing pressure (Lizárraga-Cubedo, Pierce & Santos, 2008). In addition, the patterns of morphometric variation indicate differences in growth, since the shape of the body is the product of ontogeny, that is, structural changes in the development of the organism, which is very important to implement efficient fisheries management measures (Cadrin, 2005). Through the determination of the relationships between the size structure of the body morphology of groups of crustaceans, management measures can be implemented for the beginning of a fishery, such as: average size of the catch, selectivity in the fishing gear, type growth (allometric and isometric), relative condition factor, etc. (Barbosa-Saldaña, Díaz-Jaimes & Uribe-Alcocer, 2012). Although size is usually measured as a length, weight measurements are required in fisheries to calculate fishing yield, so it is very useful to determine morphometric relationships (King, 2007).

Fisheries science seeks the generation of new knowledge to know the aspects that favor the sustainability of marine resources, such as the analysis of length-weight and relative condition factor relationships, which can provide an important insight into the ecology of the species (Froese, 2006). Pauly (1993) mentions requirements in marine stock assessment where length-weight relationships may be needed, which include: (1) conversion of individual fish length to weight, (2) estimation of mean weight of a given length class, (3) conversion of the length growth equation to a weight growth equation, and (4) morphological comparisons between populations of the same species, or between species. For most fish species, data on length-weight relationships are available from FishBase (http://www.fishbase.org), which is a global fish information system (Froese & Pauly, 2023). However, information on crustaceans and cephalopods is available in a similar information system called SeaLifeBase (http://www.sealifebase.org), although with very little information, especially for deep-water crustaceans (Palomares & Pauly, 2023).

In the Colombian Caribbean there are very few antecedents of LWR studies in deep-water crustaceans, therefore, it is not possible to determine if there are variations of the parameter b and the type of growth of the species. However, in marine populations, variations in growth are related to factors such as ontogeny, feeding (quantity, quality and size), sex, state of maturity, health, seasonality, habitat, range of sizes and the sample size (Keys, 1928; Le Cren, 1951; Safran, 1992; Moyle & Cech Jr, 2004; Froese, Tsikliras & Stergiou, 2011; Correa-Herrera, Jiménez-Segura & Barletta, 2016).

Four species showed low numbers of specimens, the crab Acanthocarpus alexandri (n = 12) and the lobsters Antillimunida flinti (n = 12), Munidopsis riveroi (n = 16) and Babamunida forceps (n = 18) (Table 1). However, according to Froese (2006) for length-weight relationships a low number of specimens may be acceptable when species are rare, such as these deep-sea crustaceans. A total of 77.3% of the crustacean species evaluated presented a range of parameter b between 2.5 and 3.5 (Froese, 2006), indicating normal growth dimensions (Bagenal & Tesch, 1978; King, 2007), except in Antillimunida flinti, Garymunida longipes and Plesionika edwardsii with values of b < 2.5, while Glyphocrangon longleyi and Glyphocrangon neglecta with b > 3.5, showed a narrow size range, common in values of b < 2.5 or >3.5 (Carlander, 1977; Froese, 2006). Additionally, the giant red shrimp Aristaeomorpha foliacea showed negative allometric growth off the west coast of Sicily (Falsone et al., 2022) and in the Tyrrhenian Sea (Apostolidis & Stergiou, 2008), which agrees with our findings. However, it differs from the positive allometric growth reported for this species in the Strait of Sicily (Ragonese et al., 2004). The Plesionika edwardsii shrimp showed variations in the type of growth with positive allometric in females and negative allometric in males in the Spanish coast of the Western Mediterranean Sea (García-Rodriguez, Esteban & Pérez-Gil, 2000; Company & Sardá, 2000). In addition, isometric growth was reported in the lobster Polycheles typhlops (Company & Sardá, 2000), which also coincides with this study.

Conclusions

We demonstrate for the first time that the growth parameters (intercept and slope) of the LWR varying significantly as a function of the body shape of crabs, lobsters and shrimps in deep-water crustaceans. Shrimp tend to have allometric growth, positive or negative, but lobster and crabs’ growth type is mainly isometric. Regarding the relative condition factor, we found that all the species evaluated had good health conditions, which may be related to the fact that in the Colombian Caribbean the deep-water ecosystem can still be considered pristine and there is currently no fishery; therefore, there is no negative impact from fishing on these deep-water crustacean species (Paramo & Saint-Paul, 2012a; Paramo & Saint-Paul, 2012b; Paramo & Saint-Paul, 2012c). The LWR parameters and the relative condition factor can be applied as simple and inexpensive indicators to implement to assess the well-being of marine populations, considering that a change in the growth conditions of the species may indicate an impact of anthropogenic origin and/or environmental. Finally, although the results of this study were obtained from mixed sexes, they are of great importance for the management of marine resources, since management and conservation regulations are not specific for each sex and can be applied to the entire population (Falsone et al., 2022).

Funding Statement

Alfredo Rodriguez was sponsored by the Fondo de Ciencia, Tecnología e Innovación (FCTeI) del Sistema General de Regalías (SGR) and the Doctoral Excellence Scholarship Program Bicentenario del Ministerio de Ciencia, Tecnología e Innovación (Minciencias). The scientific fishery sampling was funded by Autoridad Nacional de Acuicultura y Pesca (AUNAP) and Universidad del Magdalena. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.