Efectos de muestras de tallas erróneas sobre los valores estimados del crecimiento individual y la condición de los stocks
DOI:
https://doi.org/10.3989/scimar.05313.062Palabras clave:
sesgo y precisión de los parámetros, von Bertalanffy, desempeño del crecimiento, factor de condiciónResumen
A pesar de su importancia en los estudios de pesquerías, aún no se comprende lo suficiente el efecto del error o del sesgo del muestreo en los parámetros de crecimiento individual y otros indicadores poblacionales. Utilizando un ejemplo, aquí se muestra la influencia de las distribuciones muestrales de longitud en las estimaciones de parámetros poblacionales. Para la jaiba café, simulamos muestreo de longitud en cinco configuraciones y estimamos parámetros de von Bertalanffy (k, L∞L∞ , t0), peso asintótico ( W∞W∞ ), relación peso-longitud (a, b), eficiencia de crecimiento (ϕ’), y factor de condición (Kn). Las estimaciones de los parámetros se compararon con valores de referencia utilizando el sesgo relativo, el error estándar y el error cuadrático medio. Los resultados muestran cómo la precisión y el sesgo de las estimaciones de parámetros dependen de las longitudes muestreadas. Por ejemplo, el sesgo y la precisión de L∞L∞ y W∞W∞ , varían inversamente con la longitud muestreada, mientras que la combinación de segmentos de longitud produce sesgos de k y t0 más pequeños que los de L∞L∞ y W∞W∞ . En general, la precisión de las estimaciones de los parámetros no siempre depende del muestreo de todo el rango de tallas disponible, y los errores no son los mismos para todos los parámetros. Estos resultados son útiles para guiar el muestreo cuando los recursos son escasos. Discutimos las posibles razones de la estructura de la muestra de longitud incompleta y ofrecemos recomendaciones para obtener las mejores estimaciones para los parámetros de interés.
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