Can temporal and spatial NDVI predict regional bird - species richness?

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Understanding the distribution of the species and its controls over biogeographic scales is still a major challenge in ecology. National Park Networks provide an opportunity to assess the relationship between ecosystem functioning and biodiversity in areas with low human impacts. We tested the produ...

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Detalles Bibliográficos
Autor principal: Nieto, Sebastián
Otros Autores: Flombaum, Pedro, Garbulsky, Martín Fabio
Formato: Artículo
Lenguaje:Español
Materias:
TEMPORAL AND SPATIAL VARIABILITY
PRIMARY PRODUCTIVITY
NATIONAL PARK NETWORK
BASELINE CONDITIONS
AVES
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2015nieto.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 0 0 |a Can temporal and spatial NDVI predict regional bird - species richness? 
520 |a Understanding the distribution of the species and its controls over biogeographic scales is still a major challenge in ecology. National Park Networks provide an opportunity to assess the relationship between ecosystem functioning and biodiversity in areas with low human impacts. We tested the productivity-biodiversity hypothesis which states that the number of species increases with the available energy, and the variability-biodiversity hypothesis which states that the number of species increases with the diversity of habitats. The available energy and habitat heterogeneity estimated by the normalized difference vegetation index [NDVI] was shown as a good predictor of bird-species richness for a diverse set of biomes in previously published studies. However, there is not a universal relationship between NDVI and bird-species richness. Here we tested if the NDVI can predict bird species richness in areas with low human impact in Argentina. Using a dataset from the National Park Network of Argentina we found that the best predictor of bird species richness was the minimum value of NDVI per year which explained 75 percent of total variability. The inclusion of the spatial heterogeneity of NDVI improved the explanation power to 80 percent. Minimum NDVI was highly correlated with precipitation and winter temperature. Our analysis provides a tool for assessing bird-species richness at scales on which land-use planning practitioners make their decisions for Southern South America. 
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653 0 |a TEMPORAL AND SPATIAL VARIABILITY 
653 0 |a PRIMARY PRODUCTIVITY 
653 0 |a NATIONAL PARK NETWORK 
653 0 |a BASELINE CONDITIONS 
653 0 |a AVES 
700 1 |a Flombaum, Pedro  |9 67293 
700 1 |9 17762  |a Garbulsky, Martín Fabio 
773 |t Global Ecology and Conservation  |g vol.3 (2015), p.729-735 
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