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科研机构
植物研究所 [12]
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期刊论文 [12]
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2023 [1]
2022 [3]
2020 [2]
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Environme... [12]
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Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857
作者:
Zhu, Xian-Jin
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhang, Wei-Kang
;
Han, Lang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/07
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
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:2/0
  |  
提交时间:2024/03/07
ecosystem respiration
eddy covariance
terrestrial ecosystem
machine learning
substrate
scale extension
Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2022, 卷号: 127, 期号: 3
作者:
Ge, Rong
;
He, Honglin
;
Zhang, Li
;
Ren, Xiaoli
;
Williams, Mathew
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
soil carbon turnover time
vegetation carbon turnover time
climate sensitivity
forest carbon sequestration
Responding time scales of vegetation production to extreme droughts over China
期刊论文
ECOLOGICAL INDICATORS, 2022, 卷号: 136
作者:
Deng, Ying
;
Wu, Donghai
;
Wang, Xuhui
;
Xie, Zongqiang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Standardized Precipitation Evapotranspiration
Index (SPEI)
Gross Primary Productivity (GPP)
Time scale
Extreme droughts
Linear correlation
Rising vegetation activity dominates growing water use ef ficiency in the Asian permafrost region from 1900 to 2100
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 736
作者:
Yuan, Fenghui
;
Liu, Jianzhao
;
Zuo, Yunjiang
;
Guo, Ziyu
;
Wang, Nannan
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/03/29
Climate change
CMIP6
Earth system model
Siberia
WUE
Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 240
作者:
Zhang, Zhaoying
;
Zhang, Yongguang
;
Porcar-Castell, Albert
;
Joiner, Joanna
;
Guanter, Luis
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/03/01
Photosynthesis
Photosynthetic pathway
Chlorophyll fluorescence
Canopy structure
Spectral invariant theory
Leaf Area Rather Than Photosynthetic Rate Determines the Response of Ecosystem Productivity to Experimental Warming in an Alpine Steppe
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2019, 卷号: 124, 期号: 7, 页码: 2277-2287
作者:
Li, Fei
;
Peng, Yunfeng
;
Zhang, Dianye
;
Yang, Guibiao
;
Fang, Kai
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/01/06
climate warming
gross primary productivity
leaf area index
photosynthetic rate
leaf nitrogen concentration
plant functional types
Contrasting the Performance of Eight Satellite-Based GPP Models in Water-Limited and Temperature-Limited Grassland Ecosystems
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 11
作者:
Zhang, Liangxia
;
Zhou, Decheng
;
Fan, Jiangwen
;
Guo, Qun
;
Chen, Shiping
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2022/01/06
gross primary productivity
light use efficiency model
satellite remote sensing
MODIS
EVI
eddy covariance
grassland ecosystem
temperate steppe
alpine meadow
Predominance of precipitation event controls ecosystem CO2 exchange in an Inner Mongolian desert grassland, China
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2018, 卷号: 197, 页码: 781-793
作者:
Wang Yuhui
;
Chen Jiquan
;
Zhou Guangsheng
;
Shao Changliang
;
Chen Jun
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/02/25
Extreme precipitation
Ecosystem CO2 exchange
Accumulative NEE
Nonlinear equation
Desert grassland
Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years
期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 卷号: 24, 期号: 1, 页码: 184-196
作者:
Yao, Yitong
;
Wang, Xuhui
;
Li, Yue
;
Wang, Tao
;
Shen, Miaogen
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/02/25
China
climate change
eddy covariance
gross primary productivity
interannual variability
model tree ensemble
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