For example, I have data of 12 species of Lutjanus but only 9 species got enough data for FiSAT. The other 3 species got low frequency (3-1- individuals per year). Is there any study using genus in FiSAT? Thank you.
FiSAT (FAO-ICLARM Stock Assessment Tools) is designed to evaluate fish population dynamics based on species-specific data, such as growth parameters (L∞ and K), mortality, and exploitation rates. However, in situations where data for individual species are insufficient, a genus-based approach can be considered as an initial step, albeit with certain limitations and risks of generalization.
For example, if you have data on 12 species from the genus Lutjanus, but only 9 species have sufficient data for FiSAT analysis, while the remaining 3 species have very low data frequency (3–1 individuals per year), it would not be possible to estimate accurate population parameters for the latter. In such cases, data from the Lutjanus genus could be combined to provide a general overview of population dynamics, assuming that the species within the genus share relatively similar biological characteristics. However, this approach requires caution because biological parameters such as growth rates, maximum size, and exploitation patterns can differ significantly between species within the same genus.
Challenges and Limitations
The use of this tool comes with several challenges and limitations, including:
Biological Variability: Each species within a genus may exhibit different growth, mortality, and reproduction patterns. This can lead to biased analysis results if the data are combined.
Data Generalization: A genus-based analysis does not provide specific information that can be used for the management of individual species.
Accuracy of Results: Combining data from multiple species may affect the accuracy of population parameters, such as L∞, K, and exploitation rate (E).