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Using Citizen Science Data to Model the Distributions of Common Songbirds of Turkey Under Different Global Climatic Change Scenarios

Overview of attention for article published in PLOS ONE, July 2013
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Title
Using Citizen Science Data to Model the Distributions of Common Songbirds of Turkey Under Different Global Climatic Change Scenarios
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068037
Pubmed ID
Authors

Moris Abolafya, Ortaç Onmuş, Çağan H. Şekercioğlu, Raşit Bilgin

Abstract

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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Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Turkey 2 1%
Portugal 1 <1%
Germany 1 <1%
France 1 <1%
South Africa 1 <1%
Tanzania, United Republic of 1 <1%
United Kingdom 1 <1%
Israel 1 <1%
Other 2 1%
Unknown 122 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 24%
Student > Ph. D. Student 21 15%
Student > Master 16 12%
Other 15 11%
Professor 9 7%
Other 24 18%
Unknown 19 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 36%
Environmental Science 42 31%
Social Sciences 9 7%
Earth and Planetary Sciences 4 3%
Medicine and Dentistry 2 1%
Other 7 5%
Unknown 24 18%