State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Institute of Land Surface System and Sustainable Development, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Institute of Land Surface System and Sustainable Development, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Institute of Land Surface System and Sustainable Development, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
Stefani Daryanto
State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Institute of Land Surface System and Sustainable Development, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
Xiao Zhang
State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Institute of Land Surface System and Sustainable Development, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Institute of Land Surface System and Sustainable Development, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
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2,347
2,004
178
4,529
141
198
224
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PDF: 2,004
XML: 178
Total: 4,529
Supplement: 141
BibTeX: 198
EndNote: 224
Views and downloads (calculated since 31 May 2018)
Cumulative views and downloads
(calculated since 31 May 2018)
Total article views: 3,654 (including HTML, PDF, and XML)
HTML
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EndNote
1,804
1,677
173
3,654
141
189
214
HTML: 1,804
PDF: 1,677
XML: 173
Total: 3,654
Supplement: 141
BibTeX: 189
EndNote: 214
Views and downloads (calculated since 20 Dec 2018)
Cumulative views and downloads
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Total article views: 875 (including HTML, PDF, and XML)
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543
327
5
875
9
10
HTML: 543
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XML: 5
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EndNote: 10
Views and downloads (calculated since 31 May 2018)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,529 (including HTML, PDF, and XML)
Thereof 3,850 with geography defined
and 679 with unknown origin.
Total article views: 3,654 (including HTML, PDF, and XML)
Thereof 3,043 with geography defined
and 611 with unknown origin.
Total article views: 875 (including HTML, PDF, and XML)
Thereof 807 with geography defined
and 68 with unknown origin.
Soil erodibility (K) is one of the key factors of soil erosion. Selecting the optimal estimation method of soil erodibility is critical to estimate the amount of soil erosion, and provide the base for sustainable land management. This research took the Loess Plateau of China as a case study, estimated soil erodibility factor with different methods, selected the best texture-based method to estimate K, and aimed to understand the indirect environmental factors of soil erodibility.
Soil erodibility (K) is one of the key factors of soil erosion. Selecting the optimal estimation...
