Modelling gross primary production in the Heihe river basin and uncertainty analysis
文献类型：SCI/SSCI论文
| 作者 | Li S. H. ; Xiao J. T. ; Xu W. B. ; Yan H. M. |
| 发表日期 | 2012 |
| 关键词 | net primary productivity sensitivity test fast light-use efficiency ecosystem production climate data forest satellite simulation parameter images |
| 英文摘要 | Accurate and timely monitoring of gross primary production (GPP) at regional and global scales is necessary for understanding the terrestrial biosphere carbon balance. In this article, 8-day composite GPP is estimated using the region production efficiency model (REG-PEM) in the Heihe river basin from 2006 to 2008. The result indicates that GPP meets the seasonal cycle well and varies with different land covers. Analysis of uncertainty and sensitivity of the REG-PEM model are implemented by the Monte Carlo method. GPP is simulated with a test data set; the data set includes three groups, and each group has 8000 points. The three groups obey uniform distribution, normal distribution and beta distribution, respectively. Uncertainty is assessed by the quantification of mean values and standard deviation of outputs. The distribution of simulated GPP is slightly different from that of model-calculated GPP over the study sites. Among the input parameters, the land surface water index (LSWI) and air temperature (T) make less of a contribution to model output than photosynthetic active radiation (PAR) and the enhanced vegetation index (EVI). The main sources of model uncertainty are input data uncertainty and uncertainty from the specific model. |
| 出处 | International Journal of Remote Sensing |
| 卷 | 33 |
| 期 | 3 |
| 页 | 836-847 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/26872]  |
| 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 | Li S. H.,Xiao J. T.,Xu W. B.,et al. Modelling gross primary production in the Heihe river basin and uncertainty analysis. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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