Forest cover dynamics in the Selva Maya of Central and Southern Quintana Roo, Mexico: deforestation or degradation?
Ellis, Edward A [autor] | Navarro Martínez, María Angélica [autora] | García Ortega, Martha [autora] | Hernández Gómez, I. U [autor/a] | Chacón Castillo, D [autor/a].
Tipo de material: ArtículoTipo de contenido: Texto Tipo de medio: Computadora Tipo de portador: Recurso en líneaTema(s): Cobertura forestal | Deforestación | Cambio de uso de la tierra | Degradación ambientalTema(s) en inglés: Forest cover | Deforestation | Land use change | Environmental degradationDescriptor(es) geográficos: Bacalar, Othón P. Blanco (Quintana Roo, México) | Río Hondo | Yucatán (Península) (México) Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso En: Journal of Land Use Science. Volumen 15, número 1 (2020), páginas 25–51. --ISSN: 1747-4248Número de sistema: 60926Resumen: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 | ECO400000060926 |
Disponible para usuarios de ECOSUR con su clave de acceso
Forest cover dynamics (1993-2018) was assessed in two regions on the Yucatan Peninsula: Zona Maya (ZM), 67% indigenous with shifting cultivation and community forestry; and Bacalar–Rio Hondo (BRH), mainly commercial agriculture and pastureland. Degradation (12,915 ha y−¹ ) exceeded deforestation (5882 ha y−¹ ) and was worse in BRH. In BRH there was a net forest loss (−1.6% y−¹ ) associated with pastureland and commercial agriculture. In ZM, mature forest recovery (1.4% y−¹ ) and dynamic forest cover (continuous loss and gain) were associated with shifting cultivation. Changes were more intense during 2011–2018 and gains of mature forest in ZM and deforested areas in BRH targeted secondary vegetation. Fragments of mature and secondary vegetation decreased, and connectivity improved in ZM, but opposite trends occurred in BRH. Reporting and monitoring deforestation using Global Forest Watch data is inadequate since 62% of forest cover loss represent degrading or recovering forest cover. eng