Predicting the Effects of Climate Change on the Suitable Habitat of Japanese Spanish Mackerel (Scomberomorus niphonius) Based on the Species Distribution Model

Abstract

Japanese Spanish mackerel (Scomberomorus niphonius) is an important commercial fish species with a seasonal migratory habit in China. At present, no study has reported the seasonal variation of its potential suitable habitat. Therefore, we used biomod2 ensemble model to predict the potential suitable habitat of S. niphonius in different seasons through its current distribution sites and future environmental variables. Our results showed that the ensemble model had a high accuracy, with true skill statistics and receiver operator characteristic values of 0.91 and 0.98, respectively. Under the Representative Concentration Pathway (RCP) 4.5 scenario, the reduction rate of suitable habitats in summer of 2050 will be 33.2%, and those for the rest of the seasons will reach 3.5%. The reduction rate in summer of 2100 will be 43.5%, and those for the remaining seasons will reach 6.5%. In addition, this reduction rate will become more serious with the increase in emission scenario and time, especially in the RCP8.5 in which the summer reduction rate is as high as 88.9%. Habitat changes in summer show a strong temperature sensitivity. The distribution centroid of S. niphonius will shift to higher latitudes under RCP 4.5 and RCP 8.5. Depth and temperature are the two most important factors that affect the distribution of this species. The results can provide basic data for understanding the adaptability of S. niphonius to climate change and establishing an elastic ecosystem.

Prediction of climate change effects on the potential distribution of cycad blue butterfly (Luthrodes pandava) in South Korea

“…Herein, AUC and TSS were evaluated to calculate the accuracy of the species distribution model. AUC values of 0.8-0.9 and TSS values of 0.6-0.8 are considered good, and higher values are considered excellent (Allouche et al 2006;Parker-Allie et al 2009;Swets 1988;Yang et al 2022). In nine of the models (excluding the SRE model), the AUC and TSS values were good or better.…”

“…2009; Swets 1988; Yang et al . 2022). In nine of the models (excluding the SRE model), the AUC and TSS values were good or better.…”

“…The AUC ranged between 0.5 and 1, and the model's accuracy was evaluated as follows: AUC 0.9-1 = excellent; 0.8--0.9 = good; 0.7-0.8 = fair; 0.6-0.7 = poor; 0.5-0.6 = fail (Parker-Allie et al 2009;Swets 1988). The TSS ranged between À1 and 1 and was classified as follows: TSS 0.8--1 = excellent; 0.6-0.8 = good; 0.4-0.6 = average (Allouche et al 2006;Yang et al 2022).…”

Otolith biogeochemistry reveals impact of extreme climate events on population connectivity of a highly migratory fish

“…However, most recent studies applying advanced technologies like mitochondrial DNA analysis (Shui et al, 2009), otolith phenotypic analysis (Zhang et al, 2016) and otolith chemistry analysis (Pan et al, 2020b) provided evidence for the existence of a metapopulation and large-scale connectivity between the Yellow Sea and the East China Sea. Since the 1990s, the distribution of S. niphonius showed a northward expansion with increasing water temperature (Fujiwara et al, 2013;Yang et al, 2022). Furthermore, the spawning grounds of S. niphonius would move northward when SST was high (Wan et al, 2020).…”