Spatiotemporal Trends in Global Vegetation Carbon Storage
全球植被碳储量的时空格局动态

Vegetation carbon storage plays an important role in regulating the terrestrial carbon balance. Simulating vegetation carbon storage and evaluating the relationship between carbon storage and climate change are important to climate change research. In this study,the spatiotemporal variation of global vegetation carbon storage simulated by the Lund Potsdam Jena Dynamic Global Vegetation Model(LPJ-DGVM) and its linkage with changes in temperature and precipitation from 1901-2000 were analyzed. Monthly data on field of precipitation,temperature, cloud cover,and soil texture were used. Estimates of global vegetation carbon storage made with the LPJ model are similar to those made by other studies,although the LPJ-derived result is at the high end of the range. The model cannot be fully validated with available information because the model assumes that vegetation is unaffected by human activities,that the spatial resolution of the simulation unit and sample data varies considerably,and because of a lack of sample data at a global scale. Model results showed a globally statistically significant positive trend for carbon storage during the entire study period (0.0016kgC/(m2·a));however,two distinct periods with the opposite pattern were found. Vegetation carbon storage first decreased from 1901 to 1953 (-0.0014kgC(/ m2 ·a)),and then significantly increased from 1953 to 2000(0.0055kgC(/m2·a)). Further spatial analyses show that the linkage between vegetation carbon storage and temperature and precipitation differ greatly from one region to another. Our results demonstrate that the LPJ model can simulate the relationship between plant growth and climatic factors,however,the LPJ model can be improved by introducing data on land use change and irrigation.