Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.

In this study, we evaluated the potential impact of climate change on the distributions of Turkey's songbirds in the 21st century by modelling future distributions of 20 resident and nine migratory species under two global climate change scenarios. We combined verified data from an ornithologic...

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Main Authors: Moris Abolafya, Ortaç Onmuş, Çağan H Şekercioğlu, Raşit Bilgin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3700863?pdf=render
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author Moris Abolafya
Ortaç Onmuş
Çağan H Şekercioğlu
Raşit Bilgin
author_facet Moris Abolafya
Ortaç Onmuş
Çağan H Şekercioğlu
Raşit Bilgin
author_sort Moris Abolafya
collection DOAJ
description In this study, we evaluated the potential impact of climate change on the distributions of Turkey's songbirds in the 21st century by modelling future distributions of 20 resident and nine migratory species under two global climate change scenarios. We combined verified data from an ornithological citizen science initiative (www.kusbank.org) with maximum entropy modeling and eight bioclimatic variables to estimate species distributions and projections for future time periods. Model predictions for resident and migratory species showed high variability, with some species projected to lose and others projected to gain suitable habitat. Our study helps improve the understanding of the current and potential future distributions of Turkey's songbirds and their responses to climate change, highlights effective strategies to maximize avian conservation efforts in the study region, and provides a model for using citizen science data for biodiversity research in a large developing country with few professional field biologists. Our results demonstrate that climate change will not affect every species equally in Turkey. Expected range reductions in some breeding species will increase the risk of local extinction, whereas others are likely to expand their ranges.
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spelling doaj.art-76130e47d7d94042a58e96efdf1f09512022-12-21T23:48:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6803710.1371/journal.pone.0068037Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.Moris AbolafyaOrtaç OnmuşÇağan H ŞekercioğluRaşit BilginIn this study, we evaluated the potential impact of climate change on the distributions of Turkey's songbirds in the 21st century by modelling future distributions of 20 resident and nine migratory species under two global climate change scenarios. We combined verified data from an ornithological citizen science initiative (www.kusbank.org) with maximum entropy modeling and eight bioclimatic variables to estimate species distributions and projections for future time periods. Model predictions for resident and migratory species showed high variability, with some species projected to lose and others projected to gain suitable habitat. Our study helps improve the understanding of the current and potential future distributions of Turkey's songbirds and their responses to climate change, highlights effective strategies to maximize avian conservation efforts in the study region, and provides a model for using citizen science data for biodiversity research in a large developing country with few professional field biologists. Our results demonstrate that climate change will not affect every species equally in Turkey. Expected range reductions in some breeding species will increase the risk of local extinction, whereas others are likely to expand their ranges.http://europepmc.org/articles/PMC3700863?pdf=render
spellingShingle Moris Abolafya
Ortaç Onmuş
Çağan H Şekercioğlu
Raşit Bilgin
Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.
PLoS ONE
title Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.
title_full Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.
title_fullStr Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.
title_full_unstemmed Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.
title_short Using citizen science data to model the distributions of common songbirds of Turkey under different global climatic change scenarios.
title_sort using citizen science data to model the distributions of common songbirds of turkey under different global climatic change scenarios
url http://europepmc.org/articles/PMC3700863?pdf=render
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