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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2,309
1,983
172
4,464
139
188
214
HTML: 2,309
PDF: 1,983
XML: 172
Total: 4,464
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: 3,593 (including HTML, PDF, and XML)
HTML
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Supplement
BibTeX
EndNote
1,767
1,659
167
3,593
139
182
208
HTML: 1,767
PDF: 1,659
XML: 167
Total: 3,593
Supplement: 139
BibTeX: 182
EndNote: 208
Views and downloads (calculated since 20 Dec 2018)
Cumulative views and downloads
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Total article views: 871 (including HTML, PDF, and XML)
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542
324
5
871
6
6
HTML: 542
PDF: 324
XML: 5
Total: 871
BibTeX: 6
EndNote: 6
Views and downloads (calculated since 31 May 2018)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,464 (including HTML, PDF, and XML)
Thereof 3,788 with geography defined
and 676 with unknown origin.
Total article views: 3,593 (including HTML, PDF, and XML)
Thereof 2,985 with geography defined
and 608 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...