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 |
卷 | 60 |
页 | 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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