中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
植物研究所 [17]
采集方式
OAI收割 [17]
内容类型
期刊论文 [17]
发表日期
2020 [4]
2019 [1]
2018 [6]
2017 [2]
2015 [2]
2014 [2]
更多
学科主题
Agronomy [4]
Forestry [4]
Meteorolog... [4]
Environmen... [3]
生态学 [3]
Multidisci... [2]
更多
筛选
浏览/检索结果:
共17条,第1-10条
帮助
限定条件
专题:植物研究所
第一署名单位
第一作者单位
通讯作者单位
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 280
作者:
Zhang, Weikang
;
Yu, Guirui
;
Chen, Zhi
;
Zhang, Leiming
;
Wang, Qiufeng
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/01/06
Annual gross primary productivity
Attribute parameter of seasonal dynamic
Maximum daily gross primary productivity
Mean daily gross primary productivity
Spatiotemporal variation
Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 280
作者:
Zhang, Weikang
;
Yu, Guirui
;
Chen, Zhi
;
Zhang, Leiming
;
Wang, Qiufeng
  |  
收藏
  |  
浏览/下载:38/0
  |  
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
Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 5
作者:
Zhu, Xiaobo
;
He, Honglin
;
Ma, Mingguo
;
Ren, Xiaoli
;
Zhang, Li
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/03/01
ecosystem respiration
machine learning
deep learning
grasslands
northern China
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
期刊论文
OAI收割
SCIENTIFIC DATA, 2020, 卷号: 7, 期号: 1
作者:
Pastorello, Gilberto
;
Trotta, Carlo
;
Canfora, Eleonora
;
Chu, Housen
;
Christianson, Danielle
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/03/01
The paleoclimatic footprint in the soil carbon stock of the Tibetan permafrost region
期刊论文
OAI收割
NATURE COMMUNICATIONS, 2019, 卷号: 10
作者:
Ding, Jinzhi
;
Wang, Tao
;
Piao, Shilong
;
Smith, Pete
;
Zhang, Ganlin
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/01/06
A new estimation of China’s net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 253-254, 页码: 84-93
作者:
Yitong Yao
;
Zhijian Li
;
Tao Wang
;
Anping Chen
;
Xuhui Wang
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/11/13
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 页码: 131-140
作者:
Xiangyi Li
;
Yue He
;
Zhenzhong Zeng
;
Xu Lian
;
Xuhui Wang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/11/13
Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years
期刊论文
OAI收割
GLOBAL CHANGE BIOLOGY, 2018, 卷号: 24, 页码: 184-196
作者:
Yitong Yao
;
Xuhui Wang
;
Yue Li
;
Tao Wang
;
Miaogen Shen
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/13
A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach
期刊论文
OAI收割
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:11/0
  |  
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
OAI收割
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:11/0
  |  
提交时间:2022/02/25
China Eddy covariance
Evapotranspiration
Model tree ensemble (MTE)
Spatio-temporal change
Land surface model