The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.

Although climate is known to be one of the key factors determining animal species distributions amongst others, projections of global change impacts on their distributions often rely on bioclimatic envelope models. Vegetation structure and landscape configuration are also key determinants of distrib...

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Main Authors: Maria Triviño, Wilfried Thuiller, Mar Cabeza, Thomas Hickler, Miguel B Araújo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22216263/pdf/?tool=EBI
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spelling doaj-b61f5a2b581a4d18b6d0c54b27a005492021-03-04T01:14:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-01612e2937310.1371/journal.pone.0029373The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.Maria TriviñoWilfried ThuillerMar CabezaThomas HicklerMiguel B AraújoAlthough climate is known to be one of the key factors determining animal species distributions amongst others, projections of global change impacts on their distributions often rely on bioclimatic envelope models. Vegetation structure and landscape configuration are also key determinants of distributions, but they are rarely considered in such assessments. We explore the consequences of using simulated vegetation structure and composition as well as its associated landscape configuration in models projecting global change effects on Iberian bird species distributions. Both present-day and future distributions were modelled for 168 bird species using two ensemble forecasting methods: Random Forests (RF) and Boosted Regression Trees (BRT). For each species, several models were created, differing in the predictor variables used (climate, vegetation, and landscape configuration). Discrimination ability of each model in the present-day was then tested with four commonly used evaluation methods (AUC, TSS, specificity and sensitivity). The different sets of predictor variables yielded similar spatial patterns for well-modelled species, but the future projections diverged for poorly-modelled species. Models using all predictor variables were not significantly better than models fitted with climate variables alone for ca. 50% of the cases. Moreover, models fitted with climate data were always better than models fitted with landscape configuration variables, and vegetation variables were found to correlate with bird species distributions in 26-40% of the cases with BRT, and in 1-18% of the cases with RF. We conclude that improvements from including vegetation and its landscape configuration variables in comparison with climate only variables might not always be as great as expected for future projections of Iberian bird species.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22216263/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Maria Triviño
Wilfried Thuiller
Mar Cabeza
Thomas Hickler
Miguel B Araújo
spellingShingle Maria Triviño
Wilfried Thuiller
Mar Cabeza
Thomas Hickler
Miguel B Araújo
The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
PLoS ONE
author_facet Maria Triviño
Wilfried Thuiller
Mar Cabeza
Thomas Hickler
Miguel B Araújo
author_sort Maria Triviño
title The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
title_short The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
title_full The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
title_fullStr The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
title_full_unstemmed The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
title_sort contribution of vegetation and landscape configuration for predicting environmental change impacts on iberian birds.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description Although climate is known to be one of the key factors determining animal species distributions amongst others, projections of global change impacts on their distributions often rely on bioclimatic envelope models. Vegetation structure and landscape configuration are also key determinants of distributions, but they are rarely considered in such assessments. We explore the consequences of using simulated vegetation structure and composition as well as its associated landscape configuration in models projecting global change effects on Iberian bird species distributions. Both present-day and future distributions were modelled for 168 bird species using two ensemble forecasting methods: Random Forests (RF) and Boosted Regression Trees (BRT). For each species, several models were created, differing in the predictor variables used (climate, vegetation, and landscape configuration). Discrimination ability of each model in the present-day was then tested with four commonly used evaluation methods (AUC, TSS, specificity and sensitivity). The different sets of predictor variables yielded similar spatial patterns for well-modelled species, but the future projections diverged for poorly-modelled species. Models using all predictor variables were not significantly better than models fitted with climate variables alone for ca. 50% of the cases. Moreover, models fitted with climate data were always better than models fitted with landscape configuration variables, and vegetation variables were found to correlate with bird species distributions in 26-40% of the cases with BRT, and in 1-18% of the cases with RF. We conclude that improvements from including vegetation and its landscape configuration variables in comparison with climate only variables might not always be as great as expected for future projections of Iberian bird species.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22216263/pdf/?tool=EBI
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