A multi-criteria index for ecological evaluation of tropical agriculture in southeastern Mexico
Huerta Lwanga, Esperanza [autora] | Kampichler, Christian [autor] | Ochoa Gaona, Susana [autora] | De Jong, Bernardus Hendricus Jozeph [autor] | Hernández Daumás, Salvador [autor] | Geissen Geissen, Violette [autora].
Tipo de material: Artículo en línea Tema(s): Agricultura convencional | Evaluación de tierras | Indicadores ambientales | Agricultura sostenibleTema(s) en inglés: Conventional farming | Land evaluation Evaluación de tierras | Environmental indicators | Sustainable agricultureDescriptor(es) geográficos: Balancán (Tabasco, México) | Tenosique (Tabasco, México) Nota de acceso: Acceso en línea sin restricciones En: Plos One. volumen 9, número 11, e112493 (November 2014), páginas 1-16. --ISSN: 1932-6203Número de sistema: 4129Resumen:Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
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Artículos | Biblioteca Electrónica Recursos en línea (RE) | ECOSUR | Recurso digital | ECO400041291148 |
Acceso en línea sin restricciones
The aim of this study was to generate an easy to use index to evaluate the ecological state of agricultural land from a sustainability perspective. We selected environmental indicators, such as the use of organic soil amendments (green manure) versus chemical fertilizers, plant biodiversity (including crop associations), variables which characterize soil conservation of conventional agricultural systems, pesticide use, method and frequency of tillage. We monitored the ecological state of 52 agricultural plots to test the performance of the index. The variables were hierarchically aggregated with simple mathematical algorithms, if-then rules, and rule-based fuzzy models, yielding the final multi-criteria index with values from 0 (worst) to 1 (best conditions). We validated the model through independent evaluation by experts, and we obtained a linear regression with an r2 = 0.61 (p = 2.4e-06, d.f. = 49) between index output and the experts' evaluation. spa
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