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A multi-criterion index for the evaluation of local tropical forest conditions in Mexico

Ochoa Gaona, Susana [autora] | Kampichler, Christian [autor] | De Jong, Bernardus Hendricus Jozeph [autor] | Hernández Daumás, Salvador [autor] | Geissen Geissen, Violette [autora] | Huerta Lwanga, Esperanza [autora].
Tipo de material: Artículo
 en línea Artículo en línea Tipo de contenido: Texto Tipo de medio: Computadora Tipo de portador: Recurso en líneaTema(s): Evaluación ecológica (Biología) | Bosques tropicales | Deforestación | Conservación de bosquesDescriptor(es) geográficos: Tenosique (Tabasco, México) Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso En: Forest Ecology and Management. Volumen 260, número 5 (July 2010), páginas 618-627. --ISSN: 0378-1127Número de sistema: 20709Resumen:
Inglés

Despite the ecological and economical importance of tropical forests they are currently affected byhuman activities, mainly through deforestation and selective extraction. With the aim of making an opportune diagnosis of the condition of forests, we developed an ecological index based on qualitative and semi-quantitative data, allowing a quick diagnosis in order to manage and conserve tropical forests. We evaluated 44 plots of tree vegetation, measuring canopy height, number of strata, tree cover, dominant trees, number of tree species, as well as the management of and damage to the forest. The data of each parameter was classified in categories of 3, 4 or 5, which were normalized between 0 and 1 for the worst and best characteristics, respectively. For the purpose of analysis, the average, a set of IF-THEN rules, and fuzzy logic were applied and as a result we obtained a model that measures the ecological condition of the tropical forests. The model has the advantages of having an ecological basis, allows data to be gathered quickly and is clear and easy to manage and interpret.Whenrunning the model, the value of each intermediate variable is displayed, thus allowing the detection of where necessary action is required to improve the ecological condition of the forest. We expect this index to contribute in evaluating the effectiveness of forest management and possibly offer advice for the short-term management and conservation of the remnants of tropical forests.

Recurso en línea: https://www.sciencedirect.com/science/article/pii/S0378112710002756
Lista(s) en las que aparece este ítem: Susana Ochoa Gaona
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Disponible para usuarios de ECOSUR con su clave de acceso

Despite the ecological and economical importance of tropical forests they are currently affected byhuman activities, mainly through deforestation and selective extraction. With the aim of making an opportune diagnosis of the condition of forests, we developed an ecological index based on qualitative and semi-quantitative data, allowing a quick diagnosis in order to manage and conserve tropical forests. We evaluated 44 plots of tree vegetation, measuring canopy height, number of strata, tree cover, dominant trees, number of tree species, as well as the management of and damage to the forest. The data of each parameter was classified in categories of 3, 4 or 5, which were normalized between 0 and 1 for the worst and best characteristics, respectively. For the purpose of analysis, the average, a set of IF-THEN rules, and fuzzy logic were applied and as a result we obtained a model that measures the ecological condition of the tropical forests. The model has the advantages of having an ecological basis, allows data to be gathered quickly and is clear and easy to manage and interpret.Whenrunning the model, the value of each intermediate variable is displayed, thus allowing the detection of where necessary action is required to improve the ecological condition of the forest. We expect this index to contribute in evaluating the effectiveness of forest management and possibly offer advice for the short-term management and conservation of the remnants of tropical forests. eng

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