中文版 | English

在结果中检索

NWIPB OpenIR

浏览/检索结果: 共3条，第1-3条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Impacts of Diffuse Radiation on Light Use Efficiency across Terrestrial Ecosystems Based on Eddy Covariance Observation in China 期刊论文
PLOS ONE, 2014, 卷号: 9, 期号: 11
作者:  Huang, Kun;  Wang, Shaoqiang;  Zhou, Lei;  Wang, Huimin;  Zhang, Junhui;  Yan, Junhua;  Zhao, Liang;  Wang, Yanfen;  Shi, Peili;  Wang, SQ (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China.
浏览  |  Adobe PDF(1870Kb)  |  收藏  |  浏览/下载：352/130  |  提交时间：2016/12/21
Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations 期刊论文
GLOBAL AND PLANETARY CHANGE, 2014, 卷号: 118, 页码: 52-61
作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  He, Hong-Lin;  Wang, Qiu-Feng;  Chen, Zhi;  Gao, Yan-Ni;  Zhang, Yi-Ping;  Zhang, Jun-Hui;  Yan, Jun-Hua;  Wang, Hui-Min;  Zhou, Guang-Sheng;  Jia, Bing-Rui;  Xiang, Wen-Hua;  Li, Ying-Nian;  Zhao, Liang;  Wang, Yan-Fen;  Shi, Pei-Li;  Chen, Shi-Ping;  Xin, Xiao-Ping;  Zhao, Feng-Hua;  Wang, Yu-Ying;  Tong, Cheng-Li;  Fu, Yu-Ling;  Wen, Xue-Fa;  Liu, Ying-Chun;  Zhang, Lei-Ming;  Zhang, Li;  Su, Wen;  Li, Sheng-Gong;  Sun, Xiao-Min
浏览  |  Adobe PDF(1851Kb)  |  收藏  |  浏览/下载：469/69  |  提交时间：2014/12/19
Eddy Covariance  Gross Ecosystem Productivity  Net Ecosystem Productivity  Ecosystem Respiration  Carbon Budget Assessment  Potential Carbon Sink  
Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2014, 卷号: 119, 期号: 3, 页码: 466-486
作者:  He, Honglin;  Liu, Min;  Xiao, Xiangming;  Ren, Xiaoli;  Zhang, Li;  Sun, Xiaomin;  Yang, Yuanhe;  Li, Yingnian;  Zhao, Liang;  Shi, Peili;  Du, Mingyuan;  Ma, Yaoming;  Ma, Mingguo;  Zhang, Yu;  Yu, Guirui
浏览  |  Adobe PDF(2937Kb)  |  收藏  |  浏览/下载：482/122  |  提交时间：2014/12/19
Tibetan Alpine Grasslands  Vegetation Photosynthesis Model (Vpm)  Eddy Covariance  Uncertainty Analysis