英文摘要 |
Climate change affects the geographical distribution of organisms significantly, particularly those of endangered plants. Mahonia oiwakensis is a medicinal plant endemic to Taiwan and is recognized as a vulnerable and endangered species by global and Taiwanese conservation assessment systems respectively. In this study, we applied maximum entropy (MaxEnt) to predict suitable habitats for this plant species both currently and in the future. The calculations used 85 occurrence points and ten environmental variables to simulate temporal and spatial changes in the species' suitable habitats in climate conditions under representative concentration pathways 2.6 (mitigated warming) and 8.5 (aggravated warming) now and in 2070. The results demonstrated that annual mean temperatures provide key contributions to the MaxEnt model, and the response curve indicated that annual mean temperatures 7–14 °C are the best ecological niche for this plant species. The simulations indicated that under conditions of mitigated or aggravated warming in the future, suitable habitats for M. oiwakensis will be reduced, especially for population at altitudes of 2,500 m and under, which will be unable to withstand the effects of global warming. We suggest that current plant conservation strategies and action plans should take into consideration the effects of climate change to avoid these plant species becoming extinct. |