Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Anwai, Beijing, China.
PLoS One. 2013 Apr 11;8(4):e60849. doi: 10.1371/journal.pone.0060849. Print 2013.
The impact of regional climate change on net primary productivity (NPP) is an important aspect in the study of ecosystems' response to global climate change. China's ecosystems are very sensitive to climate change owing to the influence of the East Asian monsoon. The Lund-Potsdam-Jena Dynamic Global Vegetation Model for China (LPJ-CN), a global dynamical vegetation model developed for China's terrestrial ecosystems, was applied in this study to simulate the NPP changes affected by future climate change. As the LPJ-CN model is based on natural vegetation, the simulation in this study did not consider the influence of anthropogenic activities. Results suggest that future climate change would have adverse effects on natural ecosystems, with NPP tending to decrease in eastern China, particularly in the temperate and warm temperate regions. NPP would increase in western China, with a concentration in the Tibetan Plateau and the northwest arid regions. The increasing trend in NPP in western China and the decreasing trend in eastern China would be further enhanced by the warming climate. The spatial distribution of NPP, which declines from the southeast coast to the northwest inland, would have minimal variation under scenarios of climate change.
区域气候变化对净初级生产力(NPP)的影响是研究生态系统对全球气候变化响应的一个重要方面。由于东亚季风的影响,中国的生态系统对气候变化非常敏感。本研究应用了为中国陆地生态系统开发的全球动力植被模型——隆德-波茨坦-耶拿中国动态植被模型(LPJ-CN),以模拟未来气候变化对 NPP 变化的影响。由于 LPJ-CN 模型基于自然植被,因此本研究中的模拟未考虑人为活动的影响。结果表明,未来气候变化将对自然生态系统产生不利影响,NPP 在中国东部,特别是在温带和暖温带地区,有下降的趋势。在中国西部,NPP 将会增加,集中在青藏高原和西北干旱地区。气候变暖将进一步增强中国西部 NPP 的增加趋势和东部 NPP 的减少趋势。从东南沿海到西北内陆,NPP 下降的空间分布在气候变化情景下变化最小。