An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators
Study region: Upper Blue Nile Basin, the largest in Ethiopia in terms of annual water runoff and soil loss. Study focus: A new framework for identifying soil conservation priority areas has been proposed. Existing methods often focus solely on soil loss, neglecting soil conservation indicators. Few...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824004518 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832591854732836864 |
|---|---|
| author | Eshetu Shifaw Jinming Sha Xiaomei Li Peng Zhao Jianwan Ji Hao Zhang Ashenafi Yimam Kassaye Shuhui Lai Zhonglin Ji Yusheng Yang |
| author_facet | Eshetu Shifaw Jinming Sha Xiaomei Li Peng Zhao Jianwan Ji Hao Zhang Ashenafi Yimam Kassaye Shuhui Lai Zhonglin Ji Yusheng Yang |
| author_sort | Eshetu Shifaw |
| collection | DOAJ |
| description | Study region: Upper Blue Nile Basin, the largest in Ethiopia in terms of annual water runoff and soil loss. Study focus: A new framework for identifying soil conservation priority areas has been proposed. Existing methods often focus solely on soil loss, neglecting soil conservation indicators. Few studies consider multiple scenarios. The Sediment Delivery Ratio model was used to estimate soil conservation services (Avoided Erosion, AE; Sediment Trapping, ST) and soil erosion (Soil Loss, SL; Sediment Export, SE). These indicators were integrated using the Ordered Weighted Averaging method. New hydrological insights for the region: The results revealed an initial decline in all indicators (2000–2010), followed by an increase (2010–2020). The total values of AE, ST, SL, and SE ranged from 11.98 to 12.49 billion, 2.07–2.15 billion, 660.41–684.06 million, and 102.35–105.75 million tons/year, respectively. Factors such as rainfall, slope, and soil types caused non-linear effects of land cover change. The study proposes conservation priority areas under 11 scenarios, offering a range of decision-making options. Among these, the 7th is recommended as the most optimal, balancing conservation efficiency, moderate trade-offs, and planners' optimism. Implementing conservation measures in high and very high priority classes under this scenario can retain 2097.03 t/ha/yr of soil and reduce sediment export by 20.03 t/ha/yr. This advanced conservation prioritization framework can be replicated in regions beyond the UBNB. |
| format | Article |
| id | doaj-art-932fa1a7a8134d2aad4e494d88292fa7 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-932fa1a7a8134d2aad4e494d88292fa72025-01-22T05:42:02ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102102An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicatorsEshetu Shifaw0Jinming Sha1Xiaomei Li2Peng Zhao3Jianwan Ji4Hao Zhang5Ashenafi Yimam Kassaye6Shuhui Lai7Zhonglin Ji8Yusheng Yang9State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Department of Geography and Environmental Studies, Wollo University, P.O. Box 1145, Dessie, EthiopiaState Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, ChinaCollege of Environmental Science &Engineering, Fujian Normal University, Fuzhou 350007, ChinaSchool of Marine Science and Engineering, Hainan University, Haikou 570228, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaState Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, ChinaDepartment of Geography and Environmental Studies, Haramaya University, P.O. Box 138, Harar, Ethiopia; Corresponding author.State Key Laboratory of Remote Sensing Science, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, ChinaSchool of Geography and Environment, Liaocheng University, Liaocheng 252000, ChinaState Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, ChinaStudy region: Upper Blue Nile Basin, the largest in Ethiopia in terms of annual water runoff and soil loss. Study focus: A new framework for identifying soil conservation priority areas has been proposed. Existing methods often focus solely on soil loss, neglecting soil conservation indicators. Few studies consider multiple scenarios. The Sediment Delivery Ratio model was used to estimate soil conservation services (Avoided Erosion, AE; Sediment Trapping, ST) and soil erosion (Soil Loss, SL; Sediment Export, SE). These indicators were integrated using the Ordered Weighted Averaging method. New hydrological insights for the region: The results revealed an initial decline in all indicators (2000–2010), followed by an increase (2010–2020). The total values of AE, ST, SL, and SE ranged from 11.98 to 12.49 billion, 2.07–2.15 billion, 660.41–684.06 million, and 102.35–105.75 million tons/year, respectively. Factors such as rainfall, slope, and soil types caused non-linear effects of land cover change. The study proposes conservation priority areas under 11 scenarios, offering a range of decision-making options. Among these, the 7th is recommended as the most optimal, balancing conservation efficiency, moderate trade-offs, and planners' optimism. Implementing conservation measures in high and very high priority classes under this scenario can retain 2097.03 t/ha/yr of soil and reduce sediment export by 20.03 t/ha/yr. This advanced conservation prioritization framework can be replicated in regions beyond the UBNB.http://www.sciencedirect.com/science/article/pii/S2214581824004518Soil retentionConservation scenariosConservation efficiencyOrdered weighted averagingUpper Blue Nile Basin |
| spellingShingle | Eshetu Shifaw Jinming Sha Xiaomei Li Peng Zhao Jianwan Ji Hao Zhang Ashenafi Yimam Kassaye Shuhui Lai Zhonglin Ji Yusheng Yang An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators Journal of Hydrology: Regional Studies Soil retention Conservation scenarios Conservation efficiency Ordered weighted averaging Upper Blue Nile Basin |
| title | An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators |
| title_full | An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators |
| title_fullStr | An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators |
| title_full_unstemmed | An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators |
| title_short | An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators |
| title_sort | innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators |
| topic | Soil retention Conservation scenarios Conservation efficiency Ordered weighted averaging Upper Blue Nile Basin |
| url | http://www.sciencedirect.com/science/article/pii/S2214581824004518 |
| work_keys_str_mv | AT eshetushifaw aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT jinmingsha aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT xiaomeili aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT pengzhao aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT jianwanji aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT haozhang aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT ashenafiyimamkassaye aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT shuhuilai aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT zhonglinji aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT yushengyang aninnovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT eshetushifaw innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT jinmingsha innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT xiaomeili innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT pengzhao innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT jianwanji innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT haozhang innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT ashenafiyimamkassaye innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT shuhuilai innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT zhonglinji innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators AT yushengyang innovativeapproachtoprioritizingsoilconservationareasunderdiversescenariosbyleveragingthecomplementaryrolesofsoilretentionservicesandsoilerosionindicators |