Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula

Predicting species distribution in different climates is most often made by climate models (“climate envelope models” - CEM) which are using the current geographical distribution of species and climate characteristics of the area. Hoverflies (Insecta: Diptera: Syrphidae) can act as bioindic...

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Main Authors: Milić Dubravka M., Radenković Snežana R., Stepanov Jelena N., Miličić Marija S., Vujić Ante A.
Format: Article
Language:English
Published: Matica srpska 2013-01-01
Series:Zbornik Matice Srpske za Prirodne Nauke
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0352-4906/2013/0352-49061325069M.pdf
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spelling doaj-b6965d5b06294662a469d35676edf48e2021-01-02T04:24:39ZengMatica srpskaZbornik Matice Srpske za Prirodne Nauke0352-49062013-01-012013125697910.2298/ZMSPN1325069M0352-49061325069MPrediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsulaMilić Dubravka M.0Radenković Snežana R.1Stepanov Jelena N.2Miličić Marija S.3Vujić Ante A.4Prirodno-matematički fakultet, Departman za biologiju i ekologiju, Novi SadPrirodno-matematički fakultet, Departman za biologiju i ekologiju, Novi SadPrirodno-matematički fakultet, Departman za biologiju i ekologiju, Novi SadPrirodno-matematički fakultet, Departman za biologiju i ekologiju, Novi SadPrirodno-matematički fakultet, Departman za biologiju i ekologiju, Novi SadPredicting species distribution in different climates is most often made by climate models (“climate envelope models” - CEM) which are using the current geographical distribution of species and climate characteristics of the area. Hoverflies (Insecta: Diptera: Syrphidae) can act as bioindicators and monitors of climate change and habitat quality. Cheilosia Meigen, 1822 is one of the largest hoverflies genera, with about 450 described species. The aim of this study was to model the current potential distribution of six species from Cheilosia proxima group on the Balkan Peninsula (Cheilosia aerea Dufour, 1848, C. balkana Vujić, 1994, C. gigantea Zetterstedt, 1838, C. pascuorum Becker, 1894, C. proxima Zetterstedt, 1843 and C. rufimana Becker, 1894) using maximum entropy modeling (Maxent). It is observed that parameters with highest influence on the analyzed species are Altitude and BIO 15 (Precipitation Seasonality) for all species, except C. rufimana. Parameter that also substantially influenced for all species, except C. pascuorum, is BIO 18 (Precipitation of Warmest Quarter). The models of current distribution have shown that the most important area of the Balkan Peninsula, for species from Cheilosia proxima group, is Dinaric mountains. Information obtained in this paper can help in future monitoring of species, as well as for the conservation measures, especially for endemics and rare species. [Projekat Ministarstva nauke Republike Srbije, br. 173002 i br. 43002]http://www.doiserbia.nb.rs/img/doi/0352-4906/2013/0352-49061325069M.pdfSyrphidaeclimate envelope modelingMAXENTdistribution
collection DOAJ
language English
format Article
sources DOAJ
author Milić Dubravka M.
Radenković Snežana R.
Stepanov Jelena N.
Miličić Marija S.
Vujić Ante A.
spellingShingle Milić Dubravka M.
Radenković Snežana R.
Stepanov Jelena N.
Miličić Marija S.
Vujić Ante A.
Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula
Zbornik Matice Srpske za Prirodne Nauke
Syrphidae
climate envelope modeling
MAXENT
distribution
author_facet Milić Dubravka M.
Radenković Snežana R.
Stepanov Jelena N.
Miličić Marija S.
Vujić Ante A.
author_sort Milić Dubravka M.
title Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula
title_short Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula
title_full Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula
title_fullStr Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula
title_full_unstemmed Prediction of current species distribution of Cheilosia proxima group (Diptera: Syrphidae) on the Balkan peninsula
title_sort prediction of current species distribution of cheilosia proxima group (diptera: syrphidae) on the balkan peninsula
publisher Matica srpska
series Zbornik Matice Srpske za Prirodne Nauke
issn 0352-4906
publishDate 2013-01-01
description Predicting species distribution in different climates is most often made by climate models (“climate envelope models” - CEM) which are using the current geographical distribution of species and climate characteristics of the area. Hoverflies (Insecta: Diptera: Syrphidae) can act as bioindicators and monitors of climate change and habitat quality. Cheilosia Meigen, 1822 is one of the largest hoverflies genera, with about 450 described species. The aim of this study was to model the current potential distribution of six species from Cheilosia proxima group on the Balkan Peninsula (Cheilosia aerea Dufour, 1848, C. balkana Vujić, 1994, C. gigantea Zetterstedt, 1838, C. pascuorum Becker, 1894, C. proxima Zetterstedt, 1843 and C. rufimana Becker, 1894) using maximum entropy modeling (Maxent). It is observed that parameters with highest influence on the analyzed species are Altitude and BIO 15 (Precipitation Seasonality) for all species, except C. rufimana. Parameter that also substantially influenced for all species, except C. pascuorum, is BIO 18 (Precipitation of Warmest Quarter). The models of current distribution have shown that the most important area of the Balkan Peninsula, for species from Cheilosia proxima group, is Dinaric mountains. Information obtained in this paper can help in future monitoring of species, as well as for the conservation measures, especially for endemics and rare species. [Projekat Ministarstva nauke Republike Srbije, br. 173002 i br. 43002]
topic Syrphidae
climate envelope modeling
MAXENT
distribution
url http://www.doiserbia.nb.rs/img/doi/0352-4906/2013/0352-49061325069M.pdf
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