Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia
The sustainable land management program (SLMP) of Ethiopia aims to improve livelihoods and create resilient communities and landscape to climate change. Soil organic carbon (SOC) sequestration is one of the key cobenefits of the SLMP. The objective of this study was to estimate the spatial dynamics...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Elsevier
2021
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| Acceso en línea: | https://hdl.handle.net/10568/112983 |
| _version_ | 1855524506808877056 |
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| author | Abera, Wuletawu Tamene, Lulseged D. Abegaz, Assefa Hailu, Habtamu Piikki, Kristin Soderstrom, Mats Girvetz, Evan Hartunian Sommer, Rolf |
| author_browse | Abegaz, Assefa Abera, Wuletawu Girvetz, Evan Hartunian Hailu, Habtamu Piikki, Kristin Soderstrom, Mats Sommer, Rolf Tamene, Lulseged D. |
| author_facet | Abera, Wuletawu Tamene, Lulseged D. Abegaz, Assefa Hailu, Habtamu Piikki, Kristin Soderstrom, Mats Girvetz, Evan Hartunian Sommer, Rolf |
| author_sort | Abera, Wuletawu |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The sustainable land management program (SLMP) of Ethiopia aims to improve livelihoods and create resilient communities and landscape to climate change. Soil organic carbon (SOC) sequestration is one of the key cobenefits of the SLMP. The objective of this study was to estimate the spatial dynamics of SOC in 2010 and 2018 (before and after SLMP) and identify the SOC sequestration hotspots at landscape scale in four selected SLMP watersheds in the Ethiopian highlands. The specific objectives were to: 1) comparatively evaluate SOC sequestration estimation model building strategies using either a single watershed, a combined dataset from all watersheds, and leave-one-watershed-out using Random Forest (RF) model; 2) map SOC stock of 2010 and 2018 to estimate amount of SOC sequestration and potential; 3) evaluate the impacts of SLM practices on SOC in four SLMP watersheds. A total of 397 auger composite samples from the topsoil (0–20 cm depth) were collected in 2010, and the same number of samples were collected from the same locations in 2018. We used simple statistics to assess the SOC change between the two periods, and machine learning models to predict SOC stock spatially. The study showed that statistically significant variation (P < 0.05) of SOC was observed between the two years in
two watersheds (Gafera and Adi Tsegora) whereas the differences were not significant in the other two watersheds (Yesir and Azugashuba). Comparative analysis of model-setups shows that a combined dataset from all the four watersheds to train and test RF outperform the other two strategies (a single watershed alone and a leaveone-watershed-out to train and test RF) during the testing dataset. Thus, this approach was used to predict SOC stock before (2010) and after (2018) land management interventions and to derive the SOC sequestration maps. We estimated the sequestrated, achievable and target level of SOC stock spatially in the four watersheds. We assessed the impact of SLM practices, specifically bunds, terraces, biological and various forms of tillage practices on SOC using partial dependency algorithms of prediction models. No tillage (NT) increased SOC in all watersheds. The combination of physical and biological interventions (“bunds + vegetations” or “terraces + vegetations”) resulted in the highest SOC stock, followed by the biological intervention. The achievable SOC stock analysis showed that further SOC stock sequestration of up to 13.7 Mg C ha–1 may be possible in the Adi Tsegora, 15.8 Mg C ha-1 in Gafera, 33.2 Mg C ha-1 in Azuga suba and 34.7 Mg C ha-1 in Yesir watersheds. |
| format | Journal Article |
| id | CGSpace112983 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1129832025-11-12T06:51:02Z Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia Abera, Wuletawu Tamene, Lulseged D. Abegaz, Assefa Hailu, Habtamu Piikki, Kristin Soderstrom, Mats Girvetz, Evan Hartunian Sommer, Rolf land management soil organic carbon sustainable development climate change forests ordenación de tierras carbono orgánico del suelo desarrollo sostenible The sustainable land management program (SLMP) of Ethiopia aims to improve livelihoods and create resilient communities and landscape to climate change. Soil organic carbon (SOC) sequestration is one of the key cobenefits of the SLMP. The objective of this study was to estimate the spatial dynamics of SOC in 2010 and 2018 (before and after SLMP) and identify the SOC sequestration hotspots at landscape scale in four selected SLMP watersheds in the Ethiopian highlands. The specific objectives were to: 1) comparatively evaluate SOC sequestration estimation model building strategies using either a single watershed, a combined dataset from all watersheds, and leave-one-watershed-out using Random Forest (RF) model; 2) map SOC stock of 2010 and 2018 to estimate amount of SOC sequestration and potential; 3) evaluate the impacts of SLM practices on SOC in four SLMP watersheds. A total of 397 auger composite samples from the topsoil (0–20 cm depth) were collected in 2010, and the same number of samples were collected from the same locations in 2018. We used simple statistics to assess the SOC change between the two periods, and machine learning models to predict SOC stock spatially. The study showed that statistically significant variation (P < 0.05) of SOC was observed between the two years in two watersheds (Gafera and Adi Tsegora) whereas the differences were not significant in the other two watersheds (Yesir and Azugashuba). Comparative analysis of model-setups shows that a combined dataset from all the four watersheds to train and test RF outperform the other two strategies (a single watershed alone and a leaveone-watershed-out to train and test RF) during the testing dataset. Thus, this approach was used to predict SOC stock before (2010) and after (2018) land management interventions and to derive the SOC sequestration maps. We estimated the sequestrated, achievable and target level of SOC stock spatially in the four watersheds. We assessed the impact of SLM practices, specifically bunds, terraces, biological and various forms of tillage practices on SOC using partial dependency algorithms of prediction models. No tillage (NT) increased SOC in all watersheds. The combination of physical and biological interventions (“bunds + vegetations” or “terraces + vegetations”) resulted in the highest SOC stock, followed by the biological intervention. The achievable SOC stock analysis showed that further SOC stock sequestration of up to 13.7 Mg C ha–1 may be possible in the Adi Tsegora, 15.8 Mg C ha-1 in Gafera, 33.2 Mg C ha-1 in Azuga suba and 34.7 Mg C ha-1 in Yesir watersheds. 2021-05 2021-03-11T13:53:36Z 2021-03-11T13:53:36Z Journal Article https://hdl.handle.net/10568/112983 en Open Access application/pdf Elsevier Abera, W.; Tamene, L.; Abegaz, A.; Hailu, H.; Piikki, K.; Soderstrom, M.; Girvetz, E.; Sommer, R. (2021) Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia. Journal of Environmental Management 286: 112191 ISSN: 0301-4797 |
| spellingShingle | land management soil organic carbon sustainable development climate change forests ordenación de tierras carbono orgánico del suelo desarrollo sostenible Abera, Wuletawu Tamene, Lulseged D. Abegaz, Assefa Hailu, Habtamu Piikki, Kristin Soderstrom, Mats Girvetz, Evan Hartunian Sommer, Rolf Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia |
| title | Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia |
| title_full | Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia |
| title_fullStr | Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia |
| title_full_unstemmed | Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia |
| title_short | Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia |
| title_sort | estimating spatially distributed soc sequestration potentials of sustainable land management practices in ethiopia |
| topic | land management soil organic carbon sustainable development climate change forests ordenación de tierras carbono orgánico del suelo desarrollo sostenible |
| url | https://hdl.handle.net/10568/112983 |
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