The Asymptotic Sigmoidal Curve Obtained Through the Multi-Model Approach Provides the Best Description of Growth in Panulirus inflatus Juveniles (Decapoda: Palinuridae)

A mark–recapture experiment was conducted off Mazatlán in the entrance of the Gulf of California to evaluate the growth of juvenile spiny lobsters (Panulirus inflatus). A total of 40 post larvae of spiny lobster were captured, marked, and maintained in plastic cages for 180 days in seawater off Mazatlán, Sinaloa, Mexico (23°12′32.4″ N 106°25′33.2″ W). Carapace length (CL in mm) was measured. Growth was estimated using the Schnute model, which encompasses four primary cases. In this study, two additional variants equivalent to the von Bertalanffy and Logistic models were also incorporated. These six models were parametrized using normal and log-normal distributions of errors. The selection of the best distribution and best model was based on the Akaike information criterion (AIC). The AIC selected the normal distribution of error and sigmoid-shaped curve as best representative of the growth pattern of juvenile spiny lobster P. inflatus. By identifying the asymptotic sigmoidal curve as the best descriptor of juvenile growth, this study offers a reliable foundation for subsequent assessments of population dynamics, resource management, and aquaculture development of P. inflatus.

Authors

Institutions

Publication Details

Journal
Hydrobiology
Published
2025-11-03
DOI
https://doi.org/10.3390/hydrobiology4040029
Primary Topic
Crustacean biology and ecology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Asymptotic Sigmoidal Curve Obtained Through the Multi-Model Approach Provides the Best Description of Growth in Panulirus inflatus Juveniles (Decapoda: Palinuridae)

Jorge Payán‐Alejo, Yecenia Gutiérrez-Rubio, Martín Ignacio-Borrego, José A. Félix-Ortiz et al.
Hydrobiology
Crustacean biology and ecology
article

The Asymptotic Sigmoidal Curve Obtained Through the Multi-Model Approach Provides the Best Description of Growth in Panulirus inflatus Juveniles (Decapoda: Palinuridae)

Jorge Payán‐Alejo, Yecenia Gutiérrez-Rubio, Martín Ignacio-Borrego, José A. Félix-Ortiz, Juan Francisco Arzola–González, Raúl Pérez‐González, Eugenio Alberto Aragón‐Noriega, Jesús Audomar Landeros-Armenta
article en

Abstract

A mark–recapture experiment was conducted off Mazatlán in the entrance of the Gulf of California to evaluate the growth of juvenile spiny lobsters (Panulirus inflatus). A total of 40 post larvae of spiny lobster were captured, marked, and maintained in plastic cages for 180 days in seawater off Mazatlán, Sinaloa, Mexico (23°12′32.4″ N 106°25′33.2″ W). Carapace length (CL in mm) was measured. Growth was estimated using the Schnute model, which encompasses four primary cases. In this study, two additional variants equivalent to the von Bertalanffy and Logistic models were also incorporated. These six models were parametrized using normal and log-normal distributions of errors. The selection of the best distribution and best model was based on the Akaike information criterion (AIC). The AIC selected the normal distribution of error and sigmoid-shaped curve as best representative of the growth pattern of juvenile spiny lobster P. inflatus. By identifying the asymptotic sigmoidal curve as the best descriptor of juvenile growth, this study offers a reliable foundation for subsequent assessments of population dynamics, resource management, and aquaculture development of P. inflatus.

HydrobiologyVol. 4(4)
Universidad Autónoma de Sinaloa (MX), Centro de Investigaciones Biológicas Margarita Salas (ES)
Centro de Investigaciones Biológicas del Noroeste
Openalex Percentile: Top 69%
Crustacean biology and ecology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.