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CAS IR Grid
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地理科学与资源研究... [45]
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OAI收割 [45]
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期刊论文 [43]
EI期刊论文 [2]
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2023 [7]
2022 [11]
2021 [5]
2020 [4]
2019 [3]
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Biochemist... [2]
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专题:地理科学与资源研究所
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Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758
作者:
Zhu, Xian-Jin
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhang, Wei-Kang
;
Han, Lang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/12/04
Carbon cycles
Eddy covariance
Terrestrial ecosystems
Machine learning
Ecosystem responses
Balancing potato yield, soil nutrient supply, and nitrous oxide emissions: An analysis of nitrogen application trade-offs
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 899, 页码: 10
作者:
Ning, Linyirui
;
Xu, Xinpeng
;
Qiu, Shaojun
;
Lei, Qiuliang
;
Zhang, Yitao
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/10/09
Potato
Indigenous N supply
Partial N balance
N2O emission
Reasonable N application
Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening
期刊论文
OAI收割
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2023, 卷号: 15, 期号: 5, 页码: 21
作者:
Bian, Chenyu
;
Xia, Jianyang
;
Zhang, Xuanze
;
Huang, Kun
;
Cui, Erqian
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/10/09
ecosystem carbon stock
global land greening
traceability analysis
uncertainty source
gross primary production
emergent constraints
Celebrity involvement and film tourist loyalty: Destination image and place attachment as mediators
期刊论文
OAI收割
JOURNAL OF HOSPITALITY AND TOURISM MANAGEMENT, 2023, 卷号: 54, 页码: 32-41
作者:
Zhou, Bin
;
Xiong, Qihao
;
Li, Ping
;
Liu, Siyi
;
Wang, Ling-en
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/02/02
Film tourism
Tourist loyalty
Destination image
Celebrity involvement
Place attachment
Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18
作者:
Zhu, Xian-Jin
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhang, Wei-Kang
;
Han, Lang
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/12/09
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18
作者:
Zhu, Xian-Jin
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhang, Wei-Kang
;
Han, Lang
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/12/09
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
Methane dynamics from a mixed plantation of north China: Observation using closed-path eddy covariance method
期刊论文
OAI收割
FRONTIERS IN PLANT SCIENCE, 2023, 卷号: 13, 页码: 14
作者:
Yuan, Wenwen
;
Huang, Hui
;
Zhang, Jinsong
;
Meng, Ping
;
Li, Jun
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/02/27
CH4 flux
closed-path eddy covariance
a warm-temperate mixed plantation
footprint
dynamic
Effects of composite materials and revegetation on soil nutrients, chemical and microbial properties in rare earth tailings
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 850, 页码: 10
作者:
Dai, Weijie
;
Zhang, Ping
;
Yang, Fen
;
Wang, Min
;
Yang, Huixian
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/12/30
Runoff loss
Soil fertility
Microbial community structure
Functional prediction
Effects of composite materials and revegetation on soil nutrients, chemical and microbial properties in rare earth tailings
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 850, 页码: 10
作者:
Dai, Weijie
;
Zhang, Ping
;
Yang, Fen
;
Wang, Min
;
Yang, Huixian
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/12/30
Runoff loss
Soil fertility
Microbial community structure
Functional prediction
Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding
期刊论文
OAI收割
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15
作者:
Han, Lang
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhu, Xian-Jin
;
Zhang, Wei-Kang
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/12/23
ecosystem respiration
eddy covariance
terrestrial ecosystem
machine learning
substrate
scale extension