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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Autor principal: Flombaum, Pedro
Publicado: 2015
Materias:
Baseline conditions
National park network
Primary productivity
Temporal and spatial variability
Aves
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_23519894_v3_n_p729_Nieto
http://hdl.handle.net/20.500.12110/paper_23519894_v3_n_p729_Nieto
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_23519894_v3_n_p729_Nieto
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spelling paper:paper_23519894_v3_n_p729_Nieto2023-06-08T16:35:41Z Can temporal and spatial NDVI predict regional bird-species richness? Flombaum, Pedro Baseline conditions National park network Primary productivity Temporal and spatial variability Aves 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. Fil:Flombaum, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_23519894_v3_n_p729_Nieto http://hdl.handle.net/20.500.12110/paper_23519894_v3_n_p729_Nieto
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Baseline conditions
National park network
Primary productivity
Temporal and spatial variability
Aves
spellingShingle Baseline conditions
National park network
Primary productivity
Temporal and spatial variability
Aves
Flombaum, Pedro
Can temporal and spatial NDVI predict regional bird-species richness?
topic_facet Baseline conditions
National park network
Primary productivity
Temporal and spatial variability
Aves
description 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.
author Flombaum, Pedro
author_facet Flombaum, Pedro
author_sort Flombaum, Pedro
title Can temporal and spatial NDVI predict regional bird-species richness?
title_short Can temporal and spatial NDVI predict regional bird-species richness?
title_full Can temporal and spatial NDVI predict regional bird-species richness?
title_fullStr Can temporal and spatial NDVI predict regional bird-species richness?
title_full_unstemmed Can temporal and spatial NDVI predict regional bird-species richness?
title_sort can temporal and spatial ndvi predict regional bird-species richness?
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_23519894_v3_n_p729_Nieto
http://hdl.handle.net/20.500.12110/paper_23519894_v3_n_p729_Nieto
work_keys_str_mv AT flombaumpedro cantemporalandspatialndvipredictregionalbirdspeciesrichness
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