中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [11]
长春光学精密机械与物... [8]
力学研究所 [1]
成都山地灾害与环境研... [1]
地质与地球物理研究所 [1]
新疆生态与地理研究所 [1]
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采集方式
OAI收割 [28]
内容类型
期刊论文 [16]
会议论文 [11]
SCI/SSCI论文 [1]
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2023 [1]
2022 [2]
2021 [2]
2020 [5]
2017 [1]
2016 [3]
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学科主题
Environmen... [1]
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浏览/检索结果:
共28条,第1-10条
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Assessment of Six Machine Learning Methods for Predicting Gross Primary Productivity in Grassland
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 14, 页码: 3475
作者:
Wang, Hao
;
Shao, Wei
;
Hu, Yunfeng
;
Cao, Wei
;
Zhang, Yunzhi
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/09/07
machine learning
gross primary productivity
prediction
key factors
Mongolian Plateau
Evaluation of aquatic ecological health of sluice-controlled rivers in Huai River Basin (China) using evaluation index system
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 页码: 16
作者:
Chen, Hao
;
Li, Wen
;
Zuo, Qiting
;
Zhang, Yongyong
;
Liang, Shikui
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/09/21
Aquatic ecological health
Key impact factors
Evaluation index system
Evaluation method
Environmental indicators
Huai River Basin
Dihydro-beta-agarofuran-type sesquiterpenoids from the seeds of Celastrus virens with lifespan-extending effect on the nematode Caenorhabditis elegans
期刊论文
OAI收割
FITOTERAPIA, 2022, 卷号: 158, 页码: 11
作者:
Mu, Hong-Yan
;
Gao, Ye-Hui
;
Cao, Guang-Chao
;
Jiang, Jin-Yun
;
Wang, Hong-Bing
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/06/15
Dihydro-beta-agarofuran-type sesquiterpenoids
Celastrus virens
Lifespan
Caenorhabditis elegans
Key transcription factors
High-altitude tree growth responses to climate change across the Hindu Kush Himalaya
期刊论文
OAI收割
JOURNAL OF PLANT ECOLOGY, 2021, 卷号: 14, 期号: 5, 页码: 829-842
作者:
Zheng, Lili
;
Gaire, Narayan Prasad
;
Shi, Peili
  |  
收藏
  |  
浏览/下载:133/0
  |  
提交时间:2021/08/19
tree ring
high-altitude forests
key climate factors
tree growth-climate relationships
growth trends
climate sensitivity
High-altitude tree growth responses to climate change across the Hindu Kush Himalaya
期刊论文
OAI收割
JOURNAL OF PLANT ECOLOGY, 2021, 卷号: 14, 期号: 5, 页码: 829-842
作者:
Zheng, Lili
;
Gaire, Narayan Prasad
;
Shi, Peili
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/08/19
tree ring
high-altitude forests
key climate factors
tree growth-climate relationships
growth trends
climate sensitivity
Spatialization of Actual Grain Crop Yield Coupled with Cultivation Systems and Multiple Factors: From Survey Data to Grid
期刊论文
OAI收割
AGRONOMY-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 22
作者:
Li, Jingxin
;
Zhang, Hongqi
;
Xu, Erqi
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/07/09
actual yield spatialization
grain crop
cultivation system
key factors
accuracy assessment
Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 5, 页码: 743-756
作者:
Tang Zhipeng
;
Mei Ziao
;
Liu Weidong
;
Xia Yan
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/03/23
machine learning
random forest
carbon intensity
key factors
China
Determining the impact of key climatic factors on geographic distribution of wild Akebia trifoliate
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2020, 卷号: 112, 页码: 9
作者:
Wang, Li
;
Deng, Huanguang
;
Qiu, Xinfa
;
Wang, Peifa
;
Yang, Fei
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/05/19
Wild Akebia trifoliate
Geographical distribution
Key climate factors
Factor analysis method
GIS
China
Spatialization of Actual Grain Crop Yield Coupled with Cultivation Systems and Multiple Factors: From Survey Data to Grid
期刊论文
OAI收割
AGRONOMY-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 22
作者:
Li, Jingxin
;
Zhang, Hongqi
;
Xu, Erqi
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/07/09
actual yield spatialization
grain crop
cultivation system
key factors
accuracy assessment
Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 5, 页码: 743-756
作者:
Tang Zhipeng
;
Mei Ziao
;
Liu Weidong
;
Xia Yan
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/03/23
machine learning
random forest
carbon intensity
key factors
China