Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks
A Bayesian belief network (BBN) was developed to assess preferred combinations of trees in live fences and on pastures in silvopastoral systems. The BBN was created with information from Rivas, Nicaragua, using local farmer knowledge on tree species, trees' costs and benefits, farmers' expressed nee...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/72795 |
| _version_ | 1855542339206905856 |
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| author | Barton, David N. Benjamin, Tamara J. Cerdan, C.R. DeClerck, Fabrice A.J. Madsen, A.L. Rusch, G.M. Salazar, A.G. Sánchez, D. Villanueva, C. |
| author_browse | Barton, David N. Benjamin, Tamara J. Cerdan, C.R. DeClerck, Fabrice A.J. Madsen, A.L. Rusch, G.M. Salazar, A.G. Sánchez, D. Villanueva, C. |
| author_facet | Barton, David N. Benjamin, Tamara J. Cerdan, C.R. DeClerck, Fabrice A.J. Madsen, A.L. Rusch, G.M. Salazar, A.G. Sánchez, D. Villanueva, C. |
| author_sort | Barton, David N. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A Bayesian belief network (BBN) was developed to assess preferred combinations of trees in live fences and on pastures in silvopastoral systems. The BBN was created with information from Rivas, Nicaragua, using local farmer knowledge on tree species, trees' costs and benefits, farmers' expressed needs and aspirations, and scientific knowledge regarding tree functional traits and their contribution to ecosystem services and benefits. The model identifies combinations of trees, which provide multiple ecosystem services from pastures, improving their productivity and contribution to farmer livelihoods. We demonstrate how the identification of portfolios of multifunctional trees can satisfy a profile of desired ecosystem services prioritized by the farmer. Diagnostics using Bayesian inference starts with an identification of farmer needs and ‘works backwards’ to identify a silvopastoral system structure. We conclude that Bayesian belief networks are a promising modeling technique for multi-criteria decisions in farm adaptation processes, where interventions must be adapted to specific contexts and farmer preferences. |
| format | Journal Article |
| id | CGSpace72795 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace727952025-11-12T05:49:35Z Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks Barton, David N. Benjamin, Tamara J. Cerdan, C.R. DeClerck, Fabrice A.J. Madsen, A.L. Rusch, G.M. Salazar, A.G. Sánchez, D. Villanueva, C. ecosystem services indigenous knowledge adaptation silvopastoral systems A Bayesian belief network (BBN) was developed to assess preferred combinations of trees in live fences and on pastures in silvopastoral systems. The BBN was created with information from Rivas, Nicaragua, using local farmer knowledge on tree species, trees' costs and benefits, farmers' expressed needs and aspirations, and scientific knowledge regarding tree functional traits and their contribution to ecosystem services and benefits. The model identifies combinations of trees, which provide multiple ecosystem services from pastures, improving their productivity and contribution to farmer livelihoods. We demonstrate how the identification of portfolios of multifunctional trees can satisfy a profile of desired ecosystem services prioritized by the farmer. Diagnostics using Bayesian inference starts with an identification of farmer needs and ‘works backwards’ to identify a silvopastoral system structure. We conclude that Bayesian belief networks are a promising modeling technique for multi-criteria decisions in farm adaptation processes, where interventions must be adapted to specific contexts and farmer preferences. 2016-04 2016-04-05T09:54:26Z 2016-04-05T09:54:26Z Journal Article https://hdl.handle.net/10568/72795 en Open Access application/pdf Elsevier Barton, D.N.; Benjamin, T.; Cerdan, C.R.; DeClerck, F.; Madsen, A.L.; Rusch, G.M.; Salazar, A.G.; Sanchez, D.; Villanueva, C. (2016) Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks. Ecosystems Services 18 p. 165-174 ISSN: 2212-0416 |
| spellingShingle | ecosystem services indigenous knowledge adaptation silvopastoral systems Barton, David N. Benjamin, Tamara J. Cerdan, C.R. DeClerck, Fabrice A.J. Madsen, A.L. Rusch, G.M. Salazar, A.G. Sánchez, D. Villanueva, C. Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks |
| title | Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks |
| title_full | Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks |
| title_fullStr | Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks |
| title_full_unstemmed | Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks |
| title_short | Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks |
| title_sort | assessing ecosystem services from multifunctional trees in pastures using bayesian belief networks |
| topic | ecosystem services indigenous knowledge adaptation silvopastoral systems |
| url | https://hdl.handle.net/10568/72795 |
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