基于HASM的中国森林植被碳储量空间分布模拟  

Spatial distribution of forest vegetation carbon stock in China based on HASM

作　　者：赵明伟[1,2] 岳天祥[1] 赵娜[1,2] 孙晓芳[3] 

机构地区：[1]中国科学院地理科学与资源研究所资源环境信息系统国家重点实验室,北京100101 [2]中国科学院大学,北京100049 [3]曲阜师范大学地理与旅游学院,日照276800

出　　处：《地理学报》2013年第9期1212-1224,共13页Acta Geographica Sinica

基　　金：国家高技术研究发展计划项目(2013AA122003);国家科技支撑计划(2013BACO3B05)~~

摘　　要：当前区域尺度上森林碳储量估算主要依据森林资源清查数据,整个过程不仅消耗大量人力、物力,而且十分耗时,严重影响了森林碳储量估算的时效性。针对这一问题,本文提出了基于HASM的森林植被碳储量模拟方法,该方法以全球植被动态模型LPJ-Guess输出的植被碳储量为驱动场,以森林清查样地数据为精度控制点,模拟生成中国陆地森林碳储量分布情况。研究以第7次中国森林资源清查数据作为精度控制点数据源,同时作为本文模拟方法的精度验证。结果表明,中国森林碳储量为9.2405 Pg,考虑到森林资源清查是基于一定的郁闭度进行的,因此HASM模拟的结果与根据森林资源清查结果计算得出的7.8115 Pg相比更符合实际情况,西南山区和东北林区是中国森林最主要的碳库,其碳储量分别占中国森林植被碳储量的39.82%和20.46%。同时与之前(1975-1995年)相比具有较大幅度的增长,表明近几十年来中国坚持大规模植树造林的碳汇效果显著。同时也表明基于HASM的森林植被碳储量空间分布模拟方法是有效的,模拟结果合理且精度较高,表明该方法在全球尺度上森林植被碳储量模拟及其它生态系统中碳储量模拟中具有应用潜力。As the forests are the main carbon stock reservoir of the terrestrial ecosystem, it is of great importance to estimate its carbon stock and spatial distribution accurately in regional scale. However, the current estimation of forest carbon stock in regional scale primarily depends on the forest inventory data, and the whole process of it consumes labor, money and time, and influences the update of the forest carbon storage at the same time. With the purpose of solving these problems, this paper puts forward a forest vegetation carbon storage simulation method based on HASM. This new method takes the output of LPJ-GUESS model as initial values of HASM and uses the inventory data as sample points of HASM to simulate the distribution of forest carbon storage in China. The research takes the 7th forest resources statistics of China as the data source to produce sample points, and it also serves as the simulation accuracy test. The HASM simulation makes it clear that the total forest carbon storage of China is 9.2405 Pg, and the calculated value based on forest resources statistics is 7.8115 Pg. As regards that the forest resources statistics is taken based on a forest canopy closure, the result of HASM is much more suitable to the real forest carbon storage. The simulation result also demonstrates that the southwestern mountainous and the northeastern forests are the dominating forest carbon reservoirs in China, and they account for 39.82% and 20.46% respectively. Compared with the former value （1975-1995）, the carbon storage of the two regions did increase apparently. The results of this research indicate that the large reforestation in the last decades in China attains a significant carbon sink.

关 键 词：森林碳储量 驱动场 精度控制条件 LPJ-GUESS HASM 

分 类 号：S718.5[农业科学—林学]