Weather, not climate, defines distributions of vagile bird species.

<h4>Background</h4>Accurate predictions of species distributions are essential for climate change impact assessments. However the standard practice of using long-term climate averages to train species distribution models might mute important temporal patterns of species distribution. The...

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Autores principales: April E Reside, Jeremy J Vanderwal, Alex S Kutt, Genevieve C Perkins
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Publicado: Public Library of Science (PLoS) 2010
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spelling oai:doaj.org-article:36e4100bb65140a994ac17790736a84d2021-11-18T07:02:59ZWeather, not climate, defines distributions of vagile bird species.1932-620310.1371/journal.pone.0013569https://doaj.org/article/36e4100bb65140a994ac17790736a84d2010-10-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21042575/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Accurate predictions of species distributions are essential for climate change impact assessments. However the standard practice of using long-term climate averages to train species distribution models might mute important temporal patterns of species distribution. The benefit of using temporally explicit weather and distribution data has not been assessed. We hypothesized that short-term weather associated with the time a species was recorded should be superior to long-term climate measures for predicting distributions of mobile species.<h4>Methodology</h4>We tested our hypothesis by generating distribution models for 157 bird species found in Australian tropical savannas (ATS) using modelling algorithm Maxent. The variable weather of the ATS supports a bird assemblage with variable movement patterns and a high incidence of nomadism. We developed "weather" models by relating climatic variables (mean temperature, rainfall, rainfall seasonality and temperature seasonality) from the three month, six month and one year period preceding each bird record over a 58 year period (1950-2008). These weather models were compared against models built using long-term (30 year) averages of the same climatic variables.<h4>Conclusions</h4>Weather models consistently achieved higher model scores than climate models, particularly for wide-ranging, nomadic and desert species. Climate models predicted larger range areas for species, whereas weather models quantified fluctuations in habitat suitability across months, seasons and years. Models based on long-term climate averages over-estimate availability of suitable habitat and species' climatic tolerances, masking species potential vulnerability to climate change. Our results demonstrate that dynamic approaches to distribution modelling, such as incorporating organism-appropriate temporal scales, improves understanding of species distributions.April E ResideJeremy J VanderwalAlex S KuttGenevieve C PerkinsPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 10, p e13569 (2010)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
April E Reside
Jeremy J Vanderwal
Alex S Kutt
Genevieve C Perkins
Weather, not climate, defines distributions of vagile bird species.
description <h4>Background</h4>Accurate predictions of species distributions are essential for climate change impact assessments. However the standard practice of using long-term climate averages to train species distribution models might mute important temporal patterns of species distribution. The benefit of using temporally explicit weather and distribution data has not been assessed. We hypothesized that short-term weather associated with the time a species was recorded should be superior to long-term climate measures for predicting distributions of mobile species.<h4>Methodology</h4>We tested our hypothesis by generating distribution models for 157 bird species found in Australian tropical savannas (ATS) using modelling algorithm Maxent. The variable weather of the ATS supports a bird assemblage with variable movement patterns and a high incidence of nomadism. We developed "weather" models by relating climatic variables (mean temperature, rainfall, rainfall seasonality and temperature seasonality) from the three month, six month and one year period preceding each bird record over a 58 year period (1950-2008). These weather models were compared against models built using long-term (30 year) averages of the same climatic variables.<h4>Conclusions</h4>Weather models consistently achieved higher model scores than climate models, particularly for wide-ranging, nomadic and desert species. Climate models predicted larger range areas for species, whereas weather models quantified fluctuations in habitat suitability across months, seasons and years. Models based on long-term climate averages over-estimate availability of suitable habitat and species' climatic tolerances, masking species potential vulnerability to climate change. Our results demonstrate that dynamic approaches to distribution modelling, such as incorporating organism-appropriate temporal scales, improves understanding of species distributions.
format article
author April E Reside
Jeremy J Vanderwal
Alex S Kutt
Genevieve C Perkins
author_facet April E Reside
Jeremy J Vanderwal
Alex S Kutt
Genevieve C Perkins
author_sort April E Reside
title Weather, not climate, defines distributions of vagile bird species.
title_short Weather, not climate, defines distributions of vagile bird species.
title_full Weather, not climate, defines distributions of vagile bird species.
title_fullStr Weather, not climate, defines distributions of vagile bird species.
title_full_unstemmed Weather, not climate, defines distributions of vagile bird species.
title_sort weather, not climate, defines distributions of vagile bird species.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/36e4100bb65140a994ac17790736a84d
work_keys_str_mv AT aprilereside weathernotclimatedefinesdistributionsofvagilebirdspecies
AT jeremyjvanderwal weathernotclimatedefinesdistributionsofvagilebirdspecies
AT alexskutt weathernotclimatedefinesdistributionsofvagilebirdspecies
AT genevievecperkins weathernotclimatedefinesdistributionsofvagilebirdspecies
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