Employing a novel hybrid of GA-ANFIS model to predict distribution of whiting fish larvae and juveniles from tropical estuaries in the context of climate change

Forecasting the effects of habitat fragmentation on the distribution of Sillago larvae and juveniles: a case study in Ka Long Estuary, Vietnam

“…Prior works frequently merely assembled statistical tables of separate indices, leaving out a composite landscape index and regional differences in fragmentation (Rodríguez-Alarcón et al 2018;Do et al 2022b). Overall, the ILI index in our analysis has more clearly demonstrated the decentralization in the study site, with the estuary and mangrove areas being most adversely affected by fragmentation (Fig.4).There are few studies that combine landscape fragmentation with the presence of Sillago species at early stages, particularly those that provide distribution maps(Do et al, 2022a) Britton et al (2010). employed survey data spanning several years to evaluate the frequency of occurrence of sh; nevertheless, the process is costly, time-consuming, and leads to sh population reduction.…”

“…The surviving fragments' structure and function have changed signi cantly across time and space because of the space loss, increasing isolation, and exposure to human land use (Fahrig 2003). The primary habitat of the Sillago larvae and juveniles in the Ka Long estuary is degraded and fragmented as a result of urbanization (Do et al 2022a). Numerous studies have shown that habitat fragmentation causes population size decrease and extinction in big populations because these populations were rst split into smaller subpopulations that all coexisted in the same isolated region (Wilcox and Murphy 1985;Templeton et al 1990).…”

“…According to Darwin's hypothesis, Genetic algorithm (GA) is inspired by biological evolution (Do et al 2022a). GA demonstrates optimality in that the following generation is always better, more developed, and more complete than the preceding generation (Hosseini 2020).…”

“…that have led to oods, brisk currents, and habitat degradation(Xie et al 2018). It illustrates how economic factors like the growth of the tourism industry, metropolitan areas near estuaries, and beaches have impacted the sh's habitat(Do et al 2022a). Landscape indices were chosen to indicate the patches' fragmentation, variety, complexity, connectedness, and overall area.…”

“…In recent years, machine learning models and algorithms have also been utilized in other polls conducted all around the world(Do et al 2022a;Do and Tran 2022). Typically,Do et al (2022a) have revealed the distinct distribution of Sillago larvae and juveniles in two estuaries in northern Vietnam. Based on climate change, this new study proposes potent hybrid algorithms and high-performing prediction models.…”