Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya
Decision makers, from the household to state level, are frequently faced with decisions that need to be made within a context of risks, uncertainties, multiple possible outcomes and stakeholder groups with varied interests. Business decision analysis methods offer a promising solution because they...
| Autores principales: | , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
World Agroforestry Centre
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/102110 |
| _version_ | 1855528974588837888 |
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| author | Tamba, Y. Muchiri, C. Luedeling, Eike Shepherd, Keith D. |
| author_browse | Luedeling, Eike Muchiri, C. Shepherd, Keith D. Tamba, Y. |
| author_facet | Tamba, Y. Muchiri, C. Luedeling, Eike Shepherd, Keith D. |
| author_sort | Tamba, Y. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Decision makers, from the household to state level, are frequently faced with decisions that need to be made within a context of risks, uncertainties, multiple possible outcomes and stakeholder groups with varied interests. Business decision analysis methods offer a promising solution because they have been designed to aid businesses in making decisions on risky projects with limited research budgets. The decision analysis approach applied at ICRAF supports decision-making by evaluating business cases and simulating the impact of proposed investments using participatory and probabilistic tools to quantify the potential costs, benefits and associated risks of interventions while accounting for uncertainty in order to realistically forecast the range f plausible project outcomes. A decision analysis exercise was commissioned by the International Union for Conservation of Nature (IUCN) under the “Integrated plan to enhance socioeconomic and ecological resilience of the wider Huri Hills and Shurr Plains landscapes, Marsabit Kenya” project. |
| format | Artículo preliminar |
| id | CGSpace102110 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | World Agroforestry Centre |
| publisherStr | World Agroforestry Centre |
| record_format | dspace |
| spelling | CGSpace1021102025-06-17T08:23:50Z Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya Tamba, Y. Muchiri, C. Luedeling, Eike Shepherd, Keith D. natural resources Decision makers, from the household to state level, are frequently faced with decisions that need to be made within a context of risks, uncertainties, multiple possible outcomes and stakeholder groups with varied interests. Business decision analysis methods offer a promising solution because they have been designed to aid businesses in making decisions on risky projects with limited research budgets. The decision analysis approach applied at ICRAF supports decision-making by evaluating business cases and simulating the impact of proposed investments using participatory and probabilistic tools to quantify the potential costs, benefits and associated risks of interventions while accounting for uncertainty in order to realistically forecast the range f plausible project outcomes. A decision analysis exercise was commissioned by the International Union for Conservation of Nature (IUCN) under the “Integrated plan to enhance socioeconomic and ecological resilience of the wider Huri Hills and Shurr Plains landscapes, Marsabit Kenya” project. 2018 2019-07-09T08:12:05Z 2019-07-09T08:12:05Z Working Paper https://hdl.handle.net/10568/102110 en Open Access World Agroforestry Centre Tamba, Y.; Muchiri, C.; Luedeling, E.; Shepherd, K. 2018. Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya. ICRAF Working Paper No 281. Nairobi, World Agroforestry Centre. DOI: https://doi.org/10.5716/WP18008.PDF |
| spellingShingle | natural resources Tamba, Y. Muchiri, C. Luedeling, Eike Shepherd, Keith D. Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya |
| title | Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya |
| title_full | Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya |
| title_fullStr | Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya |
| title_full_unstemmed | Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya |
| title_short | Probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in Marsabit County, Kenya |
| title_sort | probabilistic decision modelling to determine impacts on natural resource management and livelihood resilience in marsabit county kenya |
| topic | natural resources |
| url | https://hdl.handle.net/10568/102110 |
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