应用BIOME-BGC模型和树木年轮数据模拟1952—2008年华北地区典型油松林生态系统净初级生产力(NPP)动态,探究了树木径向生长和NPP对区域气候变暖的响应以及未来气候情景下油松林生态系统NPP动态变化.结果表明:1952—2008年,研究区油松林生态系统NPP波动于244.12~645.31gC·m-2·a-1,平均值为418.6gC·m-2·a-1.5—6月的平均温度和上年8月至当年7月的降水是限制该地区油松径向生长和油松林生态系统NPP的主要因子.研究期间,随着区域暖干化趋势的加强,树木径向生长和生态系统NPP均呈下降趋势.未来气候情景下,NPP对温度和降水的单独和复合变化的响应为正向.CO2浓度升高有利于油松林生态系统NPP的增加,CO2的施肥效应使NPP增加16.1%.在生态系统和区域水平,树木年轮是一种理想的指示生态系统动态变化的代用资料,可以检验和校正包括BIOME-BGC模型在内的各种生态系统过程模型.
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 CO2 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 calibrate the process-based ecosystem models including BIOME-BGC.