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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 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% of total variability. The inclusion of the spatial heterogeneity of NDVI improved the explanation power to 80%. 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. © 2015 The Authors.


Documento: Artículo
Título:Can temporal and spatial NDVI predict regional bird-species richness?
Autor:Nieto, S.; Flombaum, P.; Garbulsky, M.F.
Filiación:Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires, Ciudad Universitaria C1428 EHA, 2do. Piso, Pabellón II, Ciudad de Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera, Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos, Consejo Nacional de Investigaciones Cientificas y Tecnologicas, Ciudad Universitaria C1428 EHA, 2do. Piso, Pabellón II, Ciudad de Buenos Aires, Argentina
Cátedra de Forrajicultura and Instituto de Investigaciones Fisiológicas, Ecológicas Vinculadas a la Agricultura, Facultad de Agronomia - Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Tecnológicas, Av. San Martín 4453, Ciudad de Buenos Aires, C1417DSE, Argentina
Palabras clave:Baseline conditions; National park network; Primary productivity; Temporal and spatial variability; Aves
Página de inicio:729
Página de fin:735
Título revista:Global Ecology and Conservation
Título revista abreviado:Glob. Ecol. Conserv.


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---------- APA ----------
Nieto, S., Flombaum, P. & Garbulsky, M.F. (2015) . Can temporal and spatial NDVI predict regional bird-species richness?. Global Ecology and Conservation, 3, 729-735.
---------- CHICAGO ----------
Nieto, S., Flombaum, P., Garbulsky, M.F. "Can temporal and spatial NDVI predict regional bird-species richness?" . Global Ecology and Conservation 3 (2015) : 729-735.
---------- MLA ----------
Nieto, S., Flombaum, P., Garbulsky, M.F. "Can temporal and spatial NDVI predict regional bird-species richness?" . Global Ecology and Conservation, vol. 3, 2015, pp. 729-735.
---------- VANCOUVER ----------
Nieto, S., Flombaum, P., Garbulsky, M.F. Can temporal and spatial NDVI predict regional bird-species richness?. Glob. Ecol. Conserv. 2015;3:729-735.