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TRUE GRASP: Actors visualize and explore hidden limitations of an apparent win-win land management strategy in a MAB reserve | |
Marco Braasch Luis Enrique García Barrios Sergio Cortina Villar Elisabeth Huber Sannwald NEPTALI RAMIREZ MARCIAL | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
https://doi.org/10.1016/j.envsoft.2018.03.022 | |
Agent-based model Cattle in forests Decision making Forest management tradeoffs Smallholder farmers Software availability | |
"Win-win solutions might be short-lived. Government permission for smallholder farmers to extract and sell resin from a pine savanna biosphere-reserve in Mexico has settled a long dispute among different stakeholders in the short-term; however, forest production and conservation beyond 20 years are compromised due to low pine recruitment caused by competition with exotic grasses. Grass control practiced by farmers through grazing and fire has previously been discouraged by conservation authorities, which inadvertently limits long-term pine conservation and use. We describe the participatory design, rationale and simulation attributes of an educational, interactive, agent-based model that explores suites of management options and their economic and ecological outputs. We present and analyze the outcomes of four simulation workshops, where farmers and external-actors better grasped the complex ecological interactions involved in conserving and using pines in grazed pine savanna with exotic grasses, and discussed these findings with a long-term vision and tradeoff analysis approach." | |
Elsevier | |
2018 | |
Artículo | |
Marco Braasch, Luis García-Barrios, Sergio Cortina-Villar, Elisabeth Huber-Sannwald, Neptalí Ramírez-Marcial, TRUE GRASP: Actors visualize and explore hidden limitations of an apparent win-win land management strategy in a MAB reserve, Environmental Modelling & Software, Volume 105, 2018, Pages 153-170. | |
INGENIERÍA Y TECNOLOGÍA | |
Versión revisada | |
submittedVersion - Versión revisada | |
Aparece en las colecciones: | Publicaciones Científicas Ciencias Ambientales |
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EnvironModellSoftw105(2018)153.pdf | 9.7 MB | Adobe PDF | Visualizar/Abrir |