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... [96]
成都山地灾害与环境研... [5]
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期刊论文 [119]
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会议论文 [8]
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Coupling coordination and decoupling effects: Measuring the interaction between urban agglomeration ecosystems and urbanization
期刊论文
OAI收割
CITIES, 2026, 卷号: 171, 页码: 106788
作者:
Zhang, Lifang
;
Fang, Chuanglin
;
Zhu, Cong
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
Urban agglomerations
CCD-Tapio model
Ecosystem services
Spatio-temporal evolution patterns
Coupling effects
Nature or society: Understanding the evolution and mechanisms of livestock industry agglomeration in China
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2026, 卷号: 36, 期号: 2, 页码: 283-300
作者:
Wu, Feng
;
She, Dejin
;
Dong, Mei
;
Zhang, Mengfei
;
Guo, Naliang
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
livestock industry
agro-pastoral transitional zone
spatio-temporal evolution
driving mechanisms
Lasso-XGBoost-SHAP
Spatiotemporal evolution and drivers of production-living-ecological land in the northern Tianshan Mountains using complex network analysis
期刊论文
OAI收割
SCIENTIFIC REPORTS, 2026, 卷号: 16, 期号: 1, 页码: 6283
作者:
Zhang, Zhaotong
;
Liu, Zhaohua
;
Yin, Xiaomeng
;
Zhang, Hongqi
;
Huang, Farong
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
Production-living-ecological land
Spatial and temporal pattern evolution
Complex network theory
Redundancy analysis
Northwestern arid region
Spatiotemporal variability of climate: A key driver shaping spatial pattern and dominating temporal evolution of root zone soil moisture in China
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2025, 卷号: 663, 页码: 134147
作者:
Wang, Zongxia
;
Liu, Suxia
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
Root zone soil moisture
Spatial stratified heterogeneity
Temporal evolution
Geographical detector model
China
Spatio-temporal variations and disparities of China's aluminum supply through a gravity-decomposition approach
期刊论文
OAI收割
SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 41244
作者:
Lou, Junpeng
;
Lei, Mei
;
Wang, Shaobin
;
Wei, Changhe
;
Du, Xin
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收藏
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浏览/下载:0/0
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提交时间:2026/01/21
Spatio-temporal evolution
Primary aluminum
Secondary aluminum
Gravity center
COntribution decomposition
Research on the impact of climate change on food security in Africa
期刊论文
OAI收割
SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 31251
作者:
Liu, Jinglei
;
Wu, Jiajie
;
Jiang, Dong
;
Chen, Shuai
;
Hao, Mengmeng
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
Climate change
Food security
Random forest
Spatial and temporal evolution
Sub-Saharan africa
A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data
期刊论文
OAI收割
GEO-SPATIAL INFORMATION SCIENCE, 2025, 卷号: N/A
作者:
Yu, Jianing
;
Zhang, Hengcai
;
Wang, Peixiao
;
Lu, Feng
;
Ning, Jicai
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
Marine heatwaves (MHWs)
3D geospatial structure
4D spatio-temporal evolution
geospatial skeletons
graph algorithms
Northeast Pacific MHW
ENSO events
ocean temperature anomalies
A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data
期刊论文
OAI收割
GEO-SPATIAL INFORMATION SCIENCE, 2025, 页码: 16
作者:
Yu, Jianing
;
Zhang, Hengcai
;
Wang, Peixiao
;
Lu, Feng
;
Ning, Jicai
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2025/10/13
Marine heatwaves (MHWs)
3D geospatial structure
4D spatio-temporal evolution
geospatial skeletons
graph algorithms
Northeast Pacific MHW
ENSO events
ocean temperature anomalies
Multi-Scenario Simulation of Ecosystem Service Value in Xiangjiang River Basin, China, Based on the PLUS Model
期刊论文
OAI收割
LAND, 2025, 卷号: 14, 期号: 7, 页码: 1482
作者:
Tang, Lisha
;
Li, Jingzhi
;
Xie, Chenmei
;
Wang, Miao
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收藏
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浏览/下载:0/0
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提交时间:2025/09/22
ecosystem service value
PLUS model
multi-scenario simulation
spatial-temporal evolution
Risk Evolution Analysis of Cross-Regional Water Diversion Projects Based on Spatio-Temporal Knowledge Graphs
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2025, 卷号: 650, 页码: 16
作者:
Wang, Lihu
;
Liu, Xuemei
;
Dong, Yi
;
Zhao, Dongxiao
;
Wang, Zhenfan
  |  
收藏
  |  
浏览/下载:58/0
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提交时间:2025/03/31
Cross-regional water diversion projects
Spatio-temporal knowledge graphs
Risk evolution analysis
Complex networks
Pre-trained models