Por favor, use este identificador para citar o enlazar este ítem: http://cibnor.repositorioinstitucional.mx/jspui/handle/1001/2452
MODELING GROWTH OF THE PACIFIC SARDINE SARDINOPS CAERULEUS IN THE GULF OF CALIFORNIA, MEXICO, USING THE MULTIMODEL INFERENCE APPROACH
Manuel Otilio Nevárez Martínez
Edgar Arnoldo Arzola Sotelo
JOSÉ PABLO SANTOS MOLINA
JUANA LOPEZ MARTINEZ
MARÍA DE LOS ÁNGELES MARTÍNEZ ZAVALA
Acceso Abierto
Atribución-NoComercial-SinDerivadas
URL: https://calcofi.org/publications/calcofireports/v60/Vol60-Nevarez.pdf
ISSN: 05753317
"To evaluate growth of the Pacific sardine in the Gulf of California, fish samples were collected from the com¬mercial fleet during the 2010–11, 2011–12 and 2012– 13 fishing seasons. Sardine samples were measured in standard length (SL) and age was determined based on counting opaque and hyaline growth increments in the otoliths. Four growth models were fitted to the age and length data: von Bertalanffy Growth Model (VBGM), Gompertz, Logistic, and Schnute, using a maximum like¬lihood algorithm. Confidence intervals of each param¬eter were calculated through likelihood profiles. The model that best explained the species growth kinetics was selected by Akaike information criteria and Akaike’s weight (wi ), while growth parameter covariance was obtained by the likelihood contour method. The sar¬dines obtained from catches ranged in age from 0.5–6 years; sizes varied from 98–218 mm (SL). The growth model that obtained the greatest weight was VBGM (wi = 73.11%) whose estimated parameters and con¬fidence intervals (CI) for the Pacific sardine were L∞ = 201.28 (200.70–201.80) mm SL, K = 0.581 (SD: 0.577–0.586) and t0 = –0.839 (SD: –0.855 – –0.824), showing a more accelerated growth rate of the species in the Gulf of California compared to the same species inhabiting the coasts of Baja California and California."
CALIFORNIA COOPERATIVE OCEANIC FISHERIES INVESTIGATIONS
2019
Artículo
CALCOFI REPORTS
Inglés
DINÁMICA DE LAS POBLACIONES
Versión publicada
publishedVersion - Versión publicada
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