栖息地
消光(光学矿物学)
气候变化
生态学
背景(考古学)
地理
航程(航空)
生物多样性
人口
生物
社会学
人口学
古生物学
复合材料
考古
材料科学
作者
Lehua Ning,Shulin Yu,Pan Wang,Renqiang Li,Di Zhu,Jingyong Zhang
摘要
Climate change affects biodiversity through multidimensional impacts, influencing not only shifts in habitat range but also changes in habitat quality. In this context, habitat area and bioclimatic velocity have become critical metrics for assessing species-specific vulnerabilities to climate change. Here, we assessed the extinction risk and exposure risk of giant pandas (Ailuropoda melanoleuca) based on habitat area and bioclimatic velocity, respectively, and examined the differences between these two risks to inform climate-adaptive conservation strategies. Our findings indicate that under the SSP2-4.5 scenario, degraded giant panda habitats are projected to total 13846.1 km2, with the Qinling (QL), Liangshan (LS), and Daxiangling (DXL) populations experiencing substantial habitat loss of 3790.4, 2722.8, and 1135.4 km2, respectively. Bioclimatic velocities across different populations range from -0.468 to 0.309 km year-1, with higher velocities observed in southeastern Minshan (MS) and Qionglaishan (QLS) and Liangshan (LS) regions, suggesting potential declines in habitat suitability and substantial challenges to population survival. Our results also reveal that while most populations exhibit consistent risk patterns when assessed by both habitat area and bioclimatic velocity, notable discrepancies remain. Populations with high extinction risk generally face high exposure risk; however, some populations with low extinction risk may encounter substantial exposure risk (e.g., DXL_A and MS_K). These findings highlight the limitations of relying on single-dimensional assessments of species' vulnerability to climate change, as evidenced by the variability in risk assessment outcomes. Therefore, integrating changes in both habitat area and bioclimatic velocity provides a more comprehensive understanding of species' vulnerability, reveals local adaptation mechanisms, and offers a robust scientific basis for formulating targeted climate-resilient conservation strategies.
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