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

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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Autores principales:	Nieto, S., Flombaum, P., Garbulsky, M.F.
Formato:	JOUR
Materias:	Baseline conditions National park network Primary productivity Temporal and spatial variability Aves
Acceso en línea:	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	todo:paper_23519894_v3_n_p729_Nieto
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spelling	todo:paper_23519894_v3_n_p729_Nieto2023-10-03T16:41:05Z Can temporal and spatial NDVI predict regional bird-species richness? Nieto, S. Flombaum, P. Garbulsky, M.F. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 Nieto, S. Flombaum, P. Garbulsky, M.F. 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.
format	JOUR
author	Nieto, S. Flombaum, P. Garbulsky, M.F.
author_facet	Nieto, S. Flombaum, P. Garbulsky, M.F.
author_sort	Nieto, S.
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?
url	http://hdl.handle.net/20.500.12110/paper_23519894_v3_n_p729_Nieto
work_keys_str_mv	AT nietos cantemporalandspatialndvipredictregionalbirdspeciesrichness AT flombaump cantemporalandspatialndvipredictregionalbirdspeciesrichness AT garbulskymf cantemporalandspatialndvipredictregionalbirdspeciesrichness
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Can temporal and spatial NDVI predict regional bird-species richness?

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