Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, People's Republic of China
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, People's Republic of China
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Total article views: 4,053 (including HTML, PDF, and XML)
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2,536
1,369
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4,053
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199
HTML: 2,536
PDF: 1,369
XML: 148
Total: 4,053
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EndNote: 199
Views and downloads (calculated since 06 Nov 2023)
Cumulative views and downloads
(calculated since 06 Nov 2023)
Total article views: 2,574 (including HTML, PDF, and XML)
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1,892
578
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2,574
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155
HTML: 1,892
PDF: 578
XML: 104
Total: 2,574
Supplement: 174
BibTeX: 106
EndNote: 155
Views and downloads (calculated since 13 Jun 2024)
Cumulative views and downloads
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Total article views: 1,479 (including HTML, PDF, and XML)
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644
791
44
1,479
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PDF: 791
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Total: 1,479
Supplement: 146
BibTeX: 26
EndNote: 44
Views and downloads (calculated since 06 Nov 2023)
Cumulative views and downloads
(calculated since 06 Nov 2023)
Viewed (geographical distribution)
Total article views: 4,053 (including HTML, PDF, and XML)
Thereof 4,006 with geography defined
and 47 with unknown origin.
Total article views: 2,574 (including HTML, PDF, and XML)
Thereof 2,525 with geography defined
and 49 with unknown origin.
Total article views: 1,479 (including HTML, PDF, and XML)
Thereof 1,479 with geography defined
and 0 with unknown origin.
We mapped the distribution of future potential afforestation regions based on future high-resolution climate data and climate–vegetation models. After considering the national afforestation policy and climate change, we found that the future potential afforestation region was mainly located around and to the east of the Hu Line. This study provides a dataset for exploring the effects of future afforestation.
We mapped the distribution of future potential afforestation regions based on future...
