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期刊论文 [24]
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学科主题:Meteorology & Atmospheric Sciences
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Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding
期刊论文
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11
作者:
Han, Lang
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhu, Xian-Jin
;
Zhang, Wei-Kang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/07
ecosystem respiration
eddy covariance
terrestrial ecosystem
machine learning
substrate
scale extension
Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 280
作者:
Zhang, Weikang
;
Yu, Guirui
;
Chen, Zhi
;
Zhang, Leiming
;
Wang, Qiufeng
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  |  
浏览/下载:39/0
  |  
提交时间:2022/03/01
Annual gross primary productivity
Attribute parameter of seasonal dynamic
Maximum daily gross primary productivity
Mean daily gross primary productivity
Spatiotemporal variation
Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015
期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 卷号: 39, 期号: 15, 页码: 5539-5555
作者:
Yan, Hao
;
Wang, Shao-Qiang
;
Cao, Yun
;
Xu, Ling-Ling
;
Wu, Men-xin
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/02/13
climate change
dry/wet climate
Gross primary production
meteorological factors
multi-model analysis
Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015
期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 卷号: 39, 期号: 15, 页码: 5539-5555
作者:
Yan, Hao
;
Wang, Shao-Qiang
;
Cao, Yun
;
Xu, Ling-Ling
;
Wu, Men-xin
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/01/06
climate change
dry/wet climate
Gross primary production
meteorological factors
multi-model analysis
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 期号: x, 页码: 131-140
作者:
Li, Xiangyi
;
He, Yue
;
Zeng, Zhenzhong
;
Lian, Xu
;
Wang, Xuhui
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  |  
浏览/下载:56/0
  |  
提交时间:2018/07/31
China Eddy Covariance
Evapotranspiration
Model Tree Ensemble (Mte)
Spatio-temporal Change
Land Surface Model
A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 253, 期号: x, 页码: 84-93
作者:
Yao, Yitong
;
Li, Zhijian
;
Wang, Tao
;
Chen, Anping
;
Wang, Xuhui
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  |  
浏览/下载:58/0
  |  
提交时间:2018/05/10
Net Ecosystem Productivity (Nep)
Model Tree Ensemble
China
Eddy Covariance
Carbon Sink
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 页码: 131-140
作者:
Li, Xiangyi
;
He, Yue
;
Zeng, Zhenzhong
;
Lian, Xu
;
Wang, Xuhui
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2018/11/02
China Eddy covariance
Evapotranspiration
Model tree ensemble (MTE)
Spatio-temporal change
Land surface model
A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 253, 页码: 84-93
作者:
Yao, Yitong
;
Li, Zhijian
;
Wang, Tao
;
Chen, Anping
;
Wang, Xuhui
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/02/25
Net ecosystem productivity (NEP)
Model tree ensemble
China
Eddy covariance
Carbon sink
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 页码: 131-140
作者:
Li, Xiangyi
;
He, Yue
;
Zeng, Zhenzhong
;
Lian, Xu
;
Wang, Xuhui
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/02/25
China Eddy covariance
Evapotranspiration
Model tree ensemble (MTE)
Spatio-temporal change
Land surface model
Snow damage strongly reduces the strength of the carbon sink in a primary subtropical evergreen broadleaved forest
期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2017, 卷号: 12, 期号: 10, 页码: -
作者:
Song, Qing-Hai
;
Fei, Xue-Hai
;
Zhang, Yi-Ping
;
Sha, Li-Qing
;
Wu, Chuan-Sheng
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2018/03/07
Broad-leaved Forest
Tropical Forests
Ailao Mountains
Central Amazon
Sw China
Respiration
Drought
Decomposition
Accumulation
Responses
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