北京山区刺槐林净初级生产力对气候变化的响应

Response of Net Primary Productivity of Robinia pseudoacacia Forest to Climate Change in Beijing Mountainous Area

利用BIOME—BGC模型估算北京山区刺槐林的净初级生产力(NPP),并分析了NPP对不同未来气候情景的响应。结果表明:模型模拟出的NPP总体上低于样地实测值,年际变动率为11.2%,并表现出波浪形年际变化规律;降水量与NPP呈现极显著正相关关系,是NPP年际变化的主要气候因子;CO2的浓度加倍、降水增加对NPP积累起到促进作用,温度增加不利于NPP的积累;降水增加对NPP积累的正向效应不敌温度增加对NPP积累的负向作用,CO2浓度加倍、降水增加对NPP积累的协同促进作用大于温度增加对NPP积累的抑制作用。

BIOME--BGC model was used to estimate net primary productivity （NPP） of Robinia pseudoaca- cia forest and analyze the effect of climate change and different CO2 concentrations on them in Beijing Moun- tain Area during the period of 1974-2010. The results showed that simulated NPP were lower than measured values showing wave shaped changes with an inter-annual variation rate of 11.2% ; there was a positive correlation between precipitation and the NPP of Robinia pseudoacacia forest which indicated that precipitati- on was the key environmental factor controlling the NPP variations; NPP showed positive response to in- creased precipitation and doubling of CO2 concentration, while increased temperature was not conducive to NPP accumulation; the positive effects of increased precipitation to NPP were inferior to the negative effects of increased temperature; CO2 concentration doubling and increases of precipitation and temperature together could promote NPP with strong interaction.