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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2,318
1,988
172
4,478
139
188
214
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PDF: 1,988
XML: 172
Total: 4,478
Supplement: 139
BibTeX: 188
EndNote: 214
Views and downloads (calculated since 31 May 2018)
Cumulative views and downloads
(calculated since 31 May 2018)
Total article views: 3,607 (including HTML, PDF, and XML)
HTML
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EndNote
1,776
1,664
167
3,607
139
182
208
HTML: 1,776
PDF: 1,664
XML: 167
Total: 3,607
Supplement: 139
BibTeX: 182
EndNote: 208
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542
324
5
871
6
6
HTML: 542
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,478 (including HTML, PDF, and XML)
Thereof 3,803 with geography defined
and 675 with unknown origin.
Total article views: 3,607 (including HTML, PDF, and XML)
Thereof 3,000 with geography defined
and 607 with unknown origin.
Total article views: 871 (including HTML, PDF, and XML)
Thereof 803 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...
