Using ecological niche modeling to determine avian richness hotspots
Understanding distributions of wildlife species is a key step towards identifying biodiversity hotspots and designing effective conservation strategies. In this paper, the spatial pattern of diversity of birds in Golestan Province, Iran was estimated. Ecological niche modeling was used to determine...
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| Language: | English |
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GJESM Publisher
2017-04-01
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| Series: | Global Journal of Environmental Science and Management |
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| Online Access: | http://www.gjesm.net/article_24061_8e4e33b5cbeeb2c01e292475aef601fc.pdf |
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| author | R. Mirzaei M.R. Hemami A. Esmaili Sari H.R. Rezaei A.T. Peterson |
| author_facet | R. Mirzaei M.R. Hemami A. Esmaili Sari H.R. Rezaei A.T. Peterson |
| author_sort | R. Mirzaei |
| collection | DOAJ |
| description | Understanding distributions of wildlife species is a key step towards identifying biodiversity hotspots and designing effective conservation strategies. In this paper, the spatial pattern of diversity of birds in Golestan Province, Iran was estimated. Ecological niche modeling was used to determine distributions of 144 bird species across the province using a maximum entropy algorithm. Richness maps across all birds, and separately for rare and threatened species, were prepared as approximations to hotspots. Results showed close similarity between hotspots for all birds and those for rare birds; hotspots were concentrated in the southern and especially the southwestern parts of the province. Hotspots for threatened birds tended more to the central and especially the western parts of the province, which include coastal habitats. Based on three criteria, it is clear that the western part is the most important area of the province in terms of bird Faunas. Despite some shortcomings, hotspot analysis for birds could be applied to guide conservation efforts and provide useful tool towards efficient conservation action. |
| format | Article |
| id | doaj-art-2463e470ee2b4e8f9274863c95607119 |
| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-2463e470ee2b4e8f9274863c956071192025-02-02T17:33:50ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662017-04-013213114210.22034/gjesm.2017.03.02.00224061Using ecological niche modeling to determine avian richness hotspotsR. Mirzaei0M.R. Hemami1A. Esmaili Sari2H.R. Rezaei3A.T. Peterson4Department of the Environment, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, IranDepartment of Natural Resources, Isfahan University of Technology, Isfahan, IranDepartment of the Environment, Faculty of Natural Resources and Marine Science, Tarbiat Modares University, Noor, IranDepartment of Environmental Science, Gorgan University of Agricultural and Natural Resources, Gorgan, IranBiodiversity Institute, University of Kansas, Lawrence, Kansas, USAUnderstanding distributions of wildlife species is a key step towards identifying biodiversity hotspots and designing effective conservation strategies. In this paper, the spatial pattern of diversity of birds in Golestan Province, Iran was estimated. Ecological niche modeling was used to determine distributions of 144 bird species across the province using a maximum entropy algorithm. Richness maps across all birds, and separately for rare and threatened species, were prepared as approximations to hotspots. Results showed close similarity between hotspots for all birds and those for rare birds; hotspots were concentrated in the southern and especially the southwestern parts of the province. Hotspots for threatened birds tended more to the central and especially the western parts of the province, which include coastal habitats. Based on three criteria, it is clear that the western part is the most important area of the province in terms of bird Faunas. Despite some shortcomings, hotspot analysis for birds could be applied to guide conservation efforts and provide useful tool towards efficient conservation action.http://www.gjesm.net/article_24061_8e4e33b5cbeeb2c01e292475aef601fc.pdfAvifaunaEcological nicheGolestan ProvinceHotspotsSpecies distribution modelingThreatened birds |
| spellingShingle | R. Mirzaei M.R. Hemami A. Esmaili Sari H.R. Rezaei A.T. Peterson Using ecological niche modeling to determine avian richness hotspots Global Journal of Environmental Science and Management Avifauna Ecological niche Golestan Province Hotspots Species distribution modeling Threatened birds |
| title | Using ecological niche modeling to determine avian richness hotspots |
| title_full | Using ecological niche modeling to determine avian richness hotspots |
| title_fullStr | Using ecological niche modeling to determine avian richness hotspots |
| title_full_unstemmed | Using ecological niche modeling to determine avian richness hotspots |
| title_short | Using ecological niche modeling to determine avian richness hotspots |
| title_sort | using ecological niche modeling to determine avian richness hotspots |
| topic | Avifauna Ecological niche Golestan Province Hotspots Species distribution modeling Threatened birds |
| url | http://www.gjesm.net/article_24061_8e4e33b5cbeeb2c01e292475aef601fc.pdf |
| work_keys_str_mv | AT rmirzaei usingecologicalnichemodelingtodetermineavianrichnesshotspots AT mrhemami usingecologicalnichemodelingtodetermineavianrichnesshotspots AT aesmailisari usingecologicalnichemodelingtodetermineavianrichnesshotspots AT hrrezaei usingecologicalnichemodelingtodetermineavianrichnesshotspots AT atpeterson usingecologicalnichemodelingtodetermineavianrichnesshotspots |