Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia
Forest and Landscape Restoration (FLR) is carried out with the objective of regaining ecological functions and enhancing human well-being through intervention in degrading ecosystems. However, uncertainties and risks related to FLR make it difficult to predict long-term outcomes and inform investmen...
| Autores principales: | , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/111522 |
| _version_ | 1855538497363902464 |
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| author | Tamba, Y. Wafula, J. Whitney, Cory W. Luedeling, Eike Yigzaw, N. Negussie, A. Muchiri, C. Gebru, Y. Shepherd, Keith D. Aynekulu, E. |
| author_browse | Aynekulu, E. Gebru, Y. Luedeling, Eike Muchiri, C. Negussie, A. Shepherd, Keith D. Tamba, Y. Wafula, J. Whitney, Cory W. Yigzaw, N. |
| author_facet | Tamba, Y. Wafula, J. Whitney, Cory W. Luedeling, Eike Yigzaw, N. Negussie, A. Muchiri, C. Gebru, Y. Shepherd, Keith D. Aynekulu, E. |
| author_sort | Tamba, Y. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Forest and Landscape Restoration (FLR) is carried out with the objective of regaining ecological functions and enhancing human well-being through intervention in degrading ecosystems. However, uncertainties and risks related to FLR make it difficult to predict long-term outcomes and inform investment plans. We applied a Stochastic Impact Evaluation framework (SIE) to simulate returns on investment in the case of FLR interventions in a degraded dry Afromontane forest while accounting for uncertainties. We ran 10,000 iterations of a Monte Carlo simulation that projected FLR outcomes over a period of 25 years. Our simulations show that investments in assisted natural regeneration, enrichment planting, exclosure establishment and soil-water conservation structures all have a greater than 77% chance of positive returns. Sensitivity analysis of these outcomes indicated that
the greatest threat to positive cashflows is the time required to achieve the targeted ecological outcomes. Value of Information (VOI) analysis indicated that the biggest priority for further measurement in this case is the maturity age of exclosures at which maximum biomass accumulation is achieved. The SIE framework was effective in providing forecasts of the distribution of outcomes and highlighting critical uncertainties where further measurements can help support decision-making. This approach can be useful for informing the management and planning of similar FLR interventions. |
| format | Journal Article |
| id | CGSpace111522 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1115222024-05-01T08:19:27Z Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia Tamba, Y. Wafula, J. Whitney, Cory W. Luedeling, Eike Yigzaw, N. Negussie, A. Muchiri, C. Gebru, Y. Shepherd, Keith D. Aynekulu, E. landscape risk analysis information uncertainty Forest and Landscape Restoration (FLR) is carried out with the objective of regaining ecological functions and enhancing human well-being through intervention in degrading ecosystems. However, uncertainties and risks related to FLR make it difficult to predict long-term outcomes and inform investment plans. We applied a Stochastic Impact Evaluation framework (SIE) to simulate returns on investment in the case of FLR interventions in a degraded dry Afromontane forest while accounting for uncertainties. We ran 10,000 iterations of a Monte Carlo simulation that projected FLR outcomes over a period of 25 years. Our simulations show that investments in assisted natural regeneration, enrichment planting, exclosure establishment and soil-water conservation structures all have a greater than 77% chance of positive returns. Sensitivity analysis of these outcomes indicated that the greatest threat to positive cashflows is the time required to achieve the targeted ecological outcomes. Value of Information (VOI) analysis indicated that the biggest priority for further measurement in this case is the maturity age of exclosures at which maximum biomass accumulation is achieved. The SIE framework was effective in providing forecasts of the distribution of outcomes and highlighting critical uncertainties where further measurements can help support decision-making. This approach can be useful for informing the management and planning of similar FLR interventions. 2021-04 2021-02-23T06:28:28Z 2021-02-23T06:28:28Z Journal Article https://hdl.handle.net/10568/111522 en Open Access application/pdf Elsevier Tamba, Y.; Wafula, J.; Whitney, C.; Luedeling, E.; Yigzaw, N.; Negussie, A.; Muchiri, C.; Gebru, Y.; Shepherd, K.; Aynekulu, E. 2021. Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia. Forest policy and economics . 125 (2021) 102403 . doi: https://doi.org/10.1016/j.forpol.2021.102403 |
| spellingShingle | landscape risk analysis information uncertainty Tamba, Y. Wafula, J. Whitney, Cory W. Luedeling, Eike Yigzaw, N. Negussie, A. Muchiri, C. Gebru, Y. Shepherd, Keith D. Aynekulu, E. Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia |
| title | Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia |
| title_full | Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia |
| title_fullStr | Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia |
| title_full_unstemmed | Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia |
| title_short | Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia |
| title_sort | stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern ethiopia |
| topic | landscape risk analysis information uncertainty |
| url | https://hdl.handle.net/10568/111522 |
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