摘要
干扰影响森林生态系统碳储量和碳通量,生态模型缺少干扰信息导致区域碳循环估算的不确定性.林龄结构是分析干扰对森林碳循环影响的重要替代因子,同时也是评估区域尺度森林生态系统碳汇潜力的重要参数.本研究整合全国森林清查资料和卫星遥感数据获得两套林龄数据,结合过程模型In TEC模型分析多源林龄资料对我国1901~2010年森林生态系统碳平衡的影响,结果表明林龄5年的误差将会导致我国森林碳汇不确定性25%;同时基于20世纪50年代以来森林未被大规模砍伐和大规模植树造林的假设,调整各个地区不同森林类型的林龄结构,模拟分析林龄结构变化对我国森林生态系统碳平衡时空格局的影响,结果表明森林管理（森林砍伐和植树造林等）和自然干扰所导致我国森林生态系统过去100年内所损失的碳汇为3.80 Pg C.林龄数据在大尺度碳模拟的应用能有效提高碳循环模拟的空间精度,有助于阐明碳循环模型研究中的不确定性.
The forest ecosystem plays a significant role in long-term carbon sequestration. The magnitude of a forest carbon sink is determined by the combination of intrinsic biotic factors（i.e. forest age） and extrinsic environmental driving factors（i.e. temperature, precipitation, nitrogen deposition）. The mechanism of how forest age affects the carbon balance is still unclear. Furthermore, forest age is a useful surrogate variable for analyses of the impact of disturbances on forest carbon and an important parameter for assessing carbon mitigation potential of forests at regional scale. Without considering forest age, large uncertainties exist in the simulating forest carbon cycle at regional scale. In this study, we analyzed the effect of forest age information on carbon uptake of China’s forests based on a process-based model（Integrated Terrestrial Ecosystem Carbon budget, In TEC model） in the last century, with integration of two forest age maps at 1 km spatial resolution which were derived from inventory data and remote sensing AVHRR NDVI. Inter-annual variability of net primary productivity in China’s forests during 1901–2010 based on In TEC model coupled with inventory data and remote sensing data was similar with each other. Meanwhile, the comparison approach indicated that the errors of 5 years in forest age might cause uncertainties of 25% in simulated net ecosystem productivity of China’s forests. We also discussed the significance of forest age in ecosystem process-based model and the uncertainties of carbon balance of China’s forest ecosystem during 1901–2010. Besides, the hypothesis assumed that no large-scale deforestation occurred since1950 s and mature forests（and older forests） were covered the whole China. We adjusted forest age structure for different forest types and regions to simulate the effect of changes in forest age on distribution of carbon balance in China. The important finding is that the loss of carbon sink in China’s forests induced by disturbances（i.e. def
出处
《科学通报》
EI
CAS
CSCD
北大核心
2016年第18期2064-2073,共10页
Chinese Science Bulletin
基金
国家自然科学基金(41401110
31400393)
中国科学院战略性先导科技专项(XDA05050602
XDA05050702)资助
关键词
林龄
碳汇
碳源
生态系统
模型模拟
forest age
carbon sink
carbon sources
ecosystem
modeling
