Título: Modeling α- and β-diversity in a tropical forest from remotely sensed and spatial data
Autores: Hernández-Stefanoni, JL
Gallardo-Cruz, JA
Meave del Castillo, Jorge Arturo
Rocchini, D
Bello-Pineda, J
López-Martínez, JO
Fecha: 2013-04-05
2013-04-05
2012
Publicador: Facultad de Ciencias - UNAM
Fuente:
Tipo: Article
Tema: Image texture
PCNM analysis
Regression kriging, Remote sensing
Species richness
Species turnover
Tropical dry forest
Descripción: Comprehensive information on species distribution and species composition patterns of plant communities is required for effective conservation and management of biodiversity. Remote sensing offers an inexpensive means of attaining complete spatial coverage for large areas, at regular time intervals, and can therefore be extremely useful for estimating both species richness and spatial variation of species composition (?- and ?-diversity). An essential step to map such attributes is to identify and understand their main drivers. We used remotely sensed data as a surrogate of plant productivity and habitat structure variables for explaining ?- and ?-diversity, and evaluated the relative roles of productivity-habitat structure and spatial variables in explaining observed patterns of ?- and ?-diversity by using a Principal Coordinates of Neighbor Matrices analysis. We also examined the relationship between remotely sensed and field data, in order to map ?- and ?-diversity at the landscape-level in the Yucatan Peninsula, using a regression kriging procedure. These two procedures integrate the relationship of species richness and spatial species turnover both with remotely sensed data and spatial structure. The empirical models so obtained can be used to predict species richness and variation in species composition, and they can be regarded as valuable tools not only for identifying areas with high local species richness (?-diversity), but also areas with high species turnover (?-diversity). Ultimately, information obtained in this way can help maximize the number of species preserved in a landscape.
Idioma: Inglés

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