气候和CO2变化对北京山区油松林NPP的影响

应用BIOME-BGC模型模拟估算了1974—2010年北京十三陵油松林的净初级生产力(NPP),并分析了不同CO2浓度和气候变化情景对NPP的影响。结果表明:模型模拟所得NPP与实际测定值相差8.9%,变化趋势基本一致;表现出低值高值的波浪形年际变化,年际变动率为30.69%;油松林模拟NPP与降水量呈现显著的线性相关关系(相关系数为0.85),与平均温度无线性相关关系(相关系数为-0.18);油松林NPP对单独的CO2的浓度加倍、降水增加表现出正向响应,而单独的温度增加不利于油松林NPP的积累;CO2浓度加倍、降水增加和温度增加三因子共同作用降低了油松林NPP,各因子之间表现出较强的交互作用。

Impact of climate and CO2 change on net primary productivity of Pinus tabulaeformis forest in Beijing mountain area

BIOME-BGC model was used to estimate NPP(Net Primary Productivity) of Pinus tabulaeformis forest and the effect of climate change and different CO2 concentrations on them in Beijing mountain area during the period of 1974—2010 years.The results showed that the model simulation of the actual determination value of NPP and average under 8.9%,the change trend of the basic consistently.Low value and high value wavy interannual variability,annual change rate was 30.69%.Oil pinery NPP and precipitation simulation which had significant linear relationship(correlation coefficient was 0.85),and with the average temperature without linear correlation(correlation coefficient was 0.18).NPP showed positive response to the factor of increasing precipitation alone and doubling of CO2 concentration alone,and increasing temperature alone was not conducive to NPP accumulation.CO2 concentration doubling,precipitation increasing and temperature increasing together could promote NPP with strong interaction.