中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation and uncertainty analyses of grassland biomass in Northern China: Comparison of multiple remote sensing data sources and modeling approaches

文献类型:SCI/SSCI论文

作者Jia W. X.; Liu, M.; Yang, Y. H.; He, H. L.; Zhu, X. D.; Yang, F.; Yin, C.; Xiang, W. N.
发表日期2016
关键词Grassland biomass NDVI Root-to-shoot ratio Uncertainty analysis Northern China net primary productivity aboveground biomass carbon storage time-series modis vegetation patterns avhrr performance allocation
英文摘要Accurate estimation of grassland biomass and its dynamics are crucial not only for the biogeochemical dynamics of terrestrial ecosystems, but also for the sustainable use of grassland resources. However, estimations of grassland biomass on large spatial scale usually suffer from large variability and mostly lack quantitative uncertainty analyses. In this study, the spatial grassland biomass estimation and its uncertainty were assessed based on 265 field measurements and remote sensing data across Northern China during 2001-2005. Potential sources of uncertainty, including remote sensing data sources (DATsrc), model forms (MODfrm) and model parameters (biomass allocation, BMallo, e.g. root:shoot ratio), were determined and their relative contribution was quantified. The results showed that the annual grassland biomass in Northern China was 1268.37 +/- 180.84Tg (i.e., 532.02 +/- 99.71 g/m(2)) during 2001-2005, increasing from western to eastern area, with a mean relative uncertainty of 19.8%. There were distinguishable differences among the uncertainty contributions of three sources (BMallo >DATsrc>MODfrm), which contributed 52%, 27% and 13%, respectively. This study highlighted the need to concern the uncertainty in grassland biomass estimation, especially for the uncertainty related to BMallo. (C) 2015 Elsevier Ltd. All rights reserved.
出处Ecological Indicators
60
1031-1040
语种英语
ISSN号1470-160X
DOI标识10.1016/j.ecolind.2015.09.001
源URL[http://ir.igsnrr.ac.cn/handle/311030/43002]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Jia W. X.,Liu, M.,Yang, Y. H.,et al. Estimation and uncertainty analyses of grassland biomass in Northern China: Comparison of multiple remote sensing data sources and modeling approaches. 2016.

入库方式: OAI收割

来源:地理科学与资源研究所

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