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... [12]
成都山地灾害与环境研... [4]
植物研究所 [2]
科技战略咨询研究院 [1]
南京地质古生物研究所 [1]
南京地理与湖泊研究所 [1]
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采集方式
OAI收割 [22]
内容类型
期刊论文 [22]
发表日期
2020 [22]
学科主题
Biodiversi... [2]
Ecology [2]
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浏览/检索结果:
共22条,第1-10条
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发表日期:2020
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William Su Ting - China's forgotten palynologist
期刊论文
OAI收割
PALYNOLOGY, 2020, 页码: 29
作者:
Edwards, Kevin J.
;
Mao, Limi
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/12/28
China
Scotland
USA
William Su Ting
Gunnar Erdtman
pollen
history of science
The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms
期刊论文
OAI收割
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 卷号: 22, 期号: 11, 页码: 16
作者:
Hu, Zhiwen
;
Yang, Zhongliang
;
Li, Qi
;
Zhang, An
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/03/15
infodemiology
COVID-19
infodemic
social contagion
collective perceptual biases
collective behavioral propensities
social mobilization
Fractional quantum couplers
期刊论文
OAI收割
Chaos, Solitons and Fractals, 2020, 卷号: 140
作者:
Zeng, Liangwei
;
Zeng, Jianhua
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/11/02
Quantum couplers
Nonlinear fractional
Schrödinger equations Solitons
Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria
期刊论文
OAI收割
WATER, 2020, 卷号: 12, 期号: 10, 页码: 20
作者:
Mohammed, Safwan
;
Abdo, Hazem G.
;
Szabo, Szilard
;
Pham, Quoc Bao
;
Holb, Imre J.
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/16
soil management
land cover changes
Syria
soil erosion
hillslopes
Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh
期刊论文
OAI收割
FORESTS, 2020, 卷号: 11, 期号: 9, 页码: 35
作者:
Hasan, Mohammad Emran
;
Nath, Biswajit
;
Sarker, A. H. M. Raihan
;
Wang, Zhihua
;
Zhang, Li
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/03/16
land cover
forest cover change
spatial forest health quality
forest degradation
multi-temporal Landsat satellite image
Markov-cellular automata model
Sundarban Reserve Forest
Bangladesh
Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh
期刊论文
OAI收割
FORESTS, 2020, 卷号: 11, 期号: 9, 页码: 35
作者:
Hasan, Mohammad Emran
;
Nath, Biswajit
;
Sarker, A. H. M. Raihan
;
Wang, Zhihua
;
Zhang, Li
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/16
land cover
forest cover change
spatial forest health quality
forest degradation
multi-temporal Landsat satellite image
Markov-cellular automata model
Sundarban Reserve Forest
Bangladesh
Reconstruction of cropland area in the European part of Tsarist Russia from 1696 to 1914 based on historical documents
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 8, 页码: 1307-1324
作者:
Zhao, Zhilong
;
Fang, Xiuqi
;
Ye, Yu
;
Zhang, Chengpeng
;
Zhang, Diyang
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/03/18
land use
cover change
cropland area
provincial-level reconstruction
past 300 years
Eastern Europe
Reconstruction of cropland area in the European part of Tsarist Russia from 1696 to 1914 based on historical documents
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 8, 页码: 1307-1324
作者:
Zhao, Zhilong
;
Fang, Xiuqi
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/03/18
land use
cover change
cropland area
provincial-level reconstruction
past 300 years
Eastern Europe
Socioeconomic risk of droughts under a 2.0 degrees C warmer climate: Assessment of population andGDPexposures to droughts in China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 页码: 12
作者:
Liu, Yujie
;
Chen, Jie
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/07/09
2.0 degrees C-warmer climate
China
climate change
drought
exposure
socioeconomic risk
Socioeconomic risk of droughts under a 2.0 degrees C warmer climate: Assessment of population andGDPexposures to droughts in China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 页码: 12
作者:
Liu, Yujie
;
Chen, Jie
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/07/09
2.0 degrees C-warmer climate
China
climate change
drought
exposure
socioeconomic risk