落叶松林净初级生产力对气候变化和间伐的响应研究

Northeast China is one of the most sensitive areas of global warming in China even in the world. Larch is an important economic and ecological tree species in northeast China. Numerous Research of climate change showed that climate change had significantly impacted on the productivity of Larch forest in Northeast China, meanwhile, forests mitigated climate change. Thinning, a significant approach to affect forest growth through changing stand density, influence the mitigation. Therefore, it has been an important topics in the field of forest management and forest ecology, to reveal responding of forest ecosystem to climate change and thinning..A dynamic forest growth model, called ModLPJ-GUESS, would be built in this study, based on the coupling between process-based model, LPJ-GUESS, and forest growth and yield models. ModLPJ-GUESS model will be driven by historic climate data and future climate scenario data. The dynamic change of net primary productivity of Larch forest under current climate scenario and future climate scenario would be simulated. The cross effects of climate change and thinning on net primary productivity of Larch forest would be revealed. The forest management strategies under climate change would be established.

中国东北地区是中国乃至世界上对全球变暖最为敏感的地区之一，落叶松是东北地区重要的经济树种和生态造林树种。研究表明，该地区的气候变化对落叶松林生产力有显著影响，同时，森林对气候变化又有着重要的缓冲作用。间伐作为森林经营者通过调整林分密度来调节森林生长的重要手段，影响着森林对气候变化的缓冲作用。因此，揭示落叶松林对气候变化和间伐的交叉响应规律，已经成为森林经理学和森林生态学等研究领域的重要研究课题之一。.本研究基于过程模型LPJ-GUESS和森林生长与收获预估模型的耦合，构建森林生长动态模型ModLPJ-GUESS，在历史数据和未来气候情景数据的驱动下，模拟东北地区落叶松林现实的和未来潜在的净初级生产力及其变化，探索气候变化和间伐对落叶松林净初级生产力的交叉影响规律，为制定适应气候变化的落叶松林经营管理措施和方案提供科学依据。

中国东北地区是中国乃至世界上对全球变暖最为敏感的地区之一，落叶松是东北地区重要的经济树种和生态造林树种。研究表明，该地区的气候变化对落叶松林生产力有显著影响，同时，森林对气候变化又有着重要的缓冲作用。间伐作为森林经营者通过调整林分密度来调节森林生长的重要手段，影响着森林对气候变化的缓冲作用。因此，揭示落叶松林对气候变化和间伐的交叉响应规律，已经成为森林经理学和森林生态学等研究领域的重要研究课题之一。.本研究基于过程模型LPJ和森林生长模型的耦合，构建了森林生长动态模型。在气候数据和土壤数据的驱动下，模拟了吉林省落叶松林的净初级生产力及其变化，探索了气候变化和林木竞争对落叶松林净初级生产力的影响规律，为制定适应气候变化的落叶松林经营管理措施和方案提供科学依据。