应用生态学报2012，Vol.23Issue(7)：1733-1742,10.
华北地区油松林生态系统对气候变化和CO2浓度升高的响应——基于BIOME-BGC模型和树木年轮的模拟
Responses of Pinus tabulaeformis forest ecosystem in North China to climate change and elevated CO2 :A simulation based on BIOME-BGC model and tree-ring data
摘要
Abstract
Based on BIOME-BGC model and tree-ring data, a modeling study was conducted to estimate the dynamic changes of the net primary productivity ( NPP) of Pinus tabulaeformis forest ecosystem in North China in 1952-2008, and explore the responses of the radial growth and NPP to regional climate warming as well as the dynamics of the NPP in the future climate change scenarios. The simulation results indicated the annual NPP of the P. tabulaeformis ecosystem in 1952-2008 fluctuated from 244. 12 to 645. 31 g C · m-2 · a-1, with a mean value of 418. 6 g C · m-2 · a-1. The mean air temperature in May-June and the precipitation from previous August to current July were the main factors limiting the radial growth of P. tabulaeformis and the NPP of P. tabulaeformis ecosystem. In the study period, both the radial growth and the NPP presented a decreasing trend due to the regional warming and drying climate condition. In the future climate scenarios, the NPP would have positive responses to the increase of air temperature, precipitation, and their combination. The elevated CO2 would benefit the increase of the NPP, and the increment would be about 16. 1% due to the C02 fertilization. At both ecosystem and regional scales, the tree-ring data would be an ideal proxy to predict the ecosystem dynamic change, and could be used to validate and cali- brate the process-based ecosystem models including BIOME-BGC.关键词
油松林生态系统/净初级生产力/气候变化/树木年轮/BIOME-BGCKey words
Pinus tabulaeformis forest ecosystem/ net primary productivity/ climate change/ tree-ring/ BIOME-BGC分类
天文与地球科学引用本文复制引用
彭俊杰,何兴元,陈振举,崔明星,张先亮,周长虹..华北地区油松林生态系统对气候变化和CO2浓度升高的响应——基于BIOME-BGC模型和树木年轮的模拟[J].应用生态学报,2012,23(7):1733-1742,10.基金项目
国家自然科学基金项目(41071035,30600093,31100327)和林业公益性行业科研专项(200804001)资助. （41071035,30600093,31100327）
