School of Nature Conservation, Beijing Forestry University, Beijing 100083, China.
School of Nature Conservation, Beijing Forestry University, Beijing 100083, China.
Sci Total Environ. 2018 Apr 15;621:1633-1641. doi: 10.1016/j.scitotenv.2017.10.065. Epub 2017 Nov 6.
China has large areas of forest vegetation that are critical to biodiversity and carbon storage. It is important to assess vulnerability of forest vegetation to anthropogenic climate change in China because it may change the distributions and species compositions of forest vegetation. Based on the equilibrium assumption of forest communities across different spatial and temporal scales, we used species distribution modelling coupled with endemics-area relationship to assess the vulnerability of 204 forest communities across 16 vegetation types under different climate change scenarios in China. By mapping the vulnerability of forest vegetation to climate change, we determined that 78.9% and 61.8% of forest vegetation should be relatively stable in the low and high concentration scenarios, respectively. There were large vulnerable areas of forest vegetation under anthropogenic climate change in northeastern and southwestern China. The vegetation of subtropical mixed broadleaf evergreen and deciduous forest, cold-temperate and temperate mountains needleleaf forest, and temperate mixed needleleaf and broadleaf deciduous forest types were the most vulnerable under climate change. Furthermore, the vulnerability of forest vegetation may increase due to high greenhouse gas concentrations. Given our estimates of forest vegetation vulnerability to anthropogenic climate change, it is critical that we ensure long-term monitoring of forest vegetation responses to future climate change to assess our projections against observations. We need to better integrate projected changes of temperature and precipitation into climate-adaptive conservation strategies for forest vegetation in China.
中国拥有大面积的森林植被,对生物多样性和碳储存至关重要。评估中国森林植被对人为气候变化的脆弱性很重要,因为这可能会改变森林植被的分布和物种组成。基于不同时空尺度森林群落的平衡假设,我们使用物种分布模型结合特有种面积关系来评估中国 16 种植被类型的 204 个森林群落在不同气候变化情景下的脆弱性。通过绘制森林植被对气候变化的脆弱性图,我们确定在低浓度和高浓度情景下,分别有 78.9%和 61.8%的森林植被应该相对稳定。在中国东北和西南地区,人为气候变化下存在大面积的森林植被脆弱区。亚热带混合阔叶常绿落叶林、寒温带和温带山地针叶林以及温带混合针叶林和阔叶落叶林等植被类型在气候变化下最为脆弱。此外,由于温室气体浓度较高,森林植被的脆弱性可能会增加。考虑到我们对森林植被对人为气候变化脆弱性的估计,必须确保对森林植被对未来气候变化的响应进行长期监测,以根据观测结果评估我们的预测。我们需要更好地将温度和降水的预计变化纳入中国森林植被的气候适应性保护战略中。