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
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地理科学与资源研究... [11]
苏州纳米技术与纳米仿... [9]
海洋研究所 [8]
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水土保持研究所 [1]
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OAI收割 [31]
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期刊论文 [32]
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2025 [1]
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2021 [1]
2020 [3]
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Geochemist... [1]
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Ecological risk assessment and uncertainty analysis of the Yellow River basin based on probability-loss
期刊论文
OAI收割
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2025, 卷号: N/A
作者:
Wang, Qianxu
;
Zhang, Pengyan
;
Zhang, Jinbing
;
Tian, Li
;
Liu, Zhenyue
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2025/04/21
Ecological risk
Probability-loss
Uncertainty analysis
Monte Carlo
Yellow River basin
Unfolding the spatial spillover effect of urbanization on composite ecosystem services: A case study in cities of Yellow River Basin
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 12
作者:
Liu, Zhenyue
;
Chang, Yinghui
;
Pan, Shaoqi
;
Zhang, Pengyan
;
Tian, Li
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2024/03/04
InVEST model
Integrated assessment
Spatial econometric
Bivariate spatial autocorrelation
Spatial correlation
Isolation and characterization of glutathione S-transferase genes and their transcripts in
Saccharina japonica
(Laminariales, Phaeophyceae) during development and under abiotic stress
期刊论文
OAI收割
BMC PLANT BIOLOGY, 2023, 卷号: 23, 期号: 1, 页码: 19
作者:
Lu, Chang
;
Zhang, Pengyan
;
Li, Shuang
;
Cheng, Mengzhen
;
Duan, Delin
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/11/30
Saccharina japonica
Glutathione S-transferase
Transcriptome
Gene expression
Abiotic stresses
Enzyme activity assay
Isolation, identification, and biochemical characterization of a novel bifunctional phosphomannomutase/phosphoglucomutase from the metagenome of the brown alga Laminaria digitata
期刊论文
OAI收割
FRONTIERS IN MICROBIOLOGY, 2022, 卷号: 13, 页码: 15
作者:
Jackson, Stephen A.
;
Duan, Maohang
;
Zhang, Pengyan
;
Ihua, Maureen W.
;
Stengel, Dagmar B.
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2023/01/04
Macroalga
Phosphoglucomutase
Phosphomannomutase
Metagenomics
Laminaria digitata
Prediction of the potential geographical distribution of Betula platyphylla Suk. in China under climate change scenarios
期刊论文
OAI收割
PLOS ONE, 2022, 卷号: 17, 期号: 3, 页码: 21
作者:
Geng, Wenliang
;
Li, Yanyan
;
Sun, Dongqi
;
Li, Bin
;
Zhang, Pengyan
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/09/21
Genome-wide transcriptome profiling and characterization of mannuronan C5-epimerases in Saccharina japonica
期刊论文
OAI收割
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 2021, 卷号: 60, 页码: 9
作者:
Zhang Pengyan
;
Lu Chang
;
Shao Zhanru
;
Liu Fuli
;
Yao Jianting
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/11/30
Alginate
Mannuronan C5-epimerase
M/G ratio
Saccharina japonica
Transcription profile
Extending GRACE terrestrial water storage anomalies by combining the random forest regression and a spatially moving window structure
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2020, 卷号: 590, 页码: 17
作者:
Jing, Wenlong
;
Zhang, Pengyan
;
Zhao, Xiaodan
;
Yang, Yaping
;
Jiang, Hao
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/03/15
Terrestrial water storage anomalies
GRACE
Land surface model
Random forest
Moving window
Extending GRACE terrestrial water storage anomalies by combining the random forest regression and a spatially moving window structure
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2020, 卷号: 590, 页码: 17
作者:
Jing, Wenlong
;
Zhang, Pengyan
;
Zhao, Xiaodan
;
Yang, Yaping
;
Jiang, Hao
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/03/15
Terrestrial water storage anomalies
GRACE
Land surface model
Random forest
Moving window
Re-examining the drive forces of China's industrial wastewater pollution based on GWR model at provincial level
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 262
作者:
Zhang, Pengyan
;
Yang, Dan
;
Zhang, Yu
;
Li, Yanyan
;
Liu, Yu
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/01/16
Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 页码: 22
作者:
Jing, Wenlong
;
Yao, Ling
;
Zhao, Xiaodan
;
Zhang, Pengyan
;
Liu, Yangxiaoyue
  |  
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2020/05/19
The Yellow River Basin
terrestrial water storage
GRACE satellites
land surface model
hydrology model