期刊
REMOTE SENSING
卷 6, 期 3, 页码 1783-1802出版社
MDPI
DOI: 10.3390/rs6031783
关键词
biomass carbon stock; meta-analysis; environmental controls; NDVI; grassland
类别
资金
- Land Carbon Project
- U.S. Carbon Trends Project under the U.S. Geological Survey Land Change Science Program
- National High Technology Research and Development Program of China (863 Program) [2013AA122800]
Grassland ecosystems play an important role in subsistence agriculture and the global carbon cycle. However, the global spatio-temporal patterns and environmental controls of grassland biomass are not well quantified and understood. The goal of this study was to estimate the spatial and temporal patterns of the global grassland biomass and analyze their driving forces using field measurements, Normalized Difference Vegetation Index (NDVI) time series from satellite data, climate reanalysis data, and a satellite-based statistical model. Results showed that the NDVI-based biomass carbon model developed from this study explained 60% of the variance across 38 sites globally. The global carbon stock in grassland aboveground live biomass was 1.05 Pg center dot C, averaged from 1982 to 2006, and increased at a rate of 2.43 Tg center dot C center dot y(-1) during this period. Temporal change of the global biomass was significantly and positively correlated with temperature and precipitation. The distribution of biomass carbon density followed the precipitation gradient. The dynamics of regional grassland biomass showed various trends largely determined by regional climate variability, disturbances, and management practices (such as grazing for meat production). The methods and results from this study can be used to monitor the dynamics of grassland aboveground biomass and evaluate grassland susceptibility to climate variability and change, disturbances, and management.
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