气候变化
代表性浓度途径
栖息地
物种分布
生态学
气候变化情景
毛虫
生物多样性
航程(航空)
生态系统
全球变暖的影响
分布(数学)
环境科学
全球变暖
生物
地理
气候模式
生殖器鳞翅目
数学分析
数学
复合材料
材料科学
作者
Uttam Babu Shrestha,Kamaljit S. Bawa
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2014-09-02
卷期号:9 (9): e106405-e106405
被引量:127
标识
DOI:10.1371/journal.pone.0106405
摘要
Climate change has already impacted ecosystems and species and substantial impacts of climate change in the future are expected. Species distribution modeling is widely used to map the current potential distribution of species as well as to model the impact of future climate change on distribution of species. Mapping current distribution is useful for conservation planning and understanding the change in distribution impacted by climate change is important for mitigation of future biodiversity losses. However, the current distribution of Chinese caterpillar fungus, a flagship species of the Himalaya with very high economic value, is unknown. Nor do we know the potential changes in suitable habitat of Chinese caterpillar fungus caused by future climate change. We used MaxEnt modeling to predict current distribution and changes in the future distributions of Chinese caterpillar fungus in three future climate change trajectories based on representative concentration pathways (RCPs: RCP 2.6, RCP 4.5, and RCP 6.0) in three different time periods (2030, 2050, and 2070) using species occurrence points, bioclimatic variables, and altitude. About 6.02% (8,989 km2) area of the Nepal Himalaya is suitable for Chinese caterpillar fungus habitat. Our model showed that across all future climate change trajectories over three different time periods, the area of predicted suitable habitat of Chinese caterpillar fungus would expand, with 0.11–4.87% expansion over current suitable habitat. Depending upon the representative concentration pathways, we observed both increase and decrease in average elevation of the suitable habitat range of the species.
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