DSpace Repository

Predicting the distribution of green turtle nesting sites over the Mediterranean with outcoming climate driven changes

Show simple item record

dc.contributor.author Arslan, Guven
dc.contributor.author Erturk, Alper
dc.contributor.author Candan, Onur
dc.date.accessioned 2024-03-15T11:19:46Z
dc.date.available 2024-03-15T11:19:46Z
dc.date.issued 2023
dc.identifier.citation Arslan, G., Ertürk, A., Candan, O. (2023). Predicting the distribution of green turtle nesting sites over the Mediterranean with outcoming climate driven changes. J. Nat. Conserv., 71. https://doi.org/10.1016/j.jnc.2022.126320 en_US
dc.identifier.issn 1617-1381
dc.identifier.issn 1618-1093
dc.identifier.uri http://dx.doi.org/10.1016/j.jnc.2022.126320
dc.identifier.uri https://www.webofscience.com/wos/woscc/full-record/WOS:000910458200001
dc.identifier.uri http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/4491
dc.description WoS Categories: Biodiversity Conservation; Ecology en_US
dc.description Web of Science Index: Science Citation Index Expanded (SCI-EXPANDED) en_US
dc.description Research Areas: Biodiversity & Conservation; Environmental Sciences & Ecology en_US
dc.description.abstract Nesting beaches have a critical role in the life cycle of sea turtles and their survival. Many different factors affect nest site selection, ranging from the composition of the sand to the vegetation of the beach. These factors are subject to change due to the onset of climate change. We aimed to determine the possible changes in nesting beaches according to the future climate scenarios of Chelonia mydas nesting sites in the Mediterranean by ecological niche modeling. Nineteen bioclimatic variables and Representative Concentration Pathway scenarios (RCP2.6 and RCP8.5) were used to generate past, current, and future nesting site projections. The datasets were prepared with ArcGIS v10. and bioclimatic variables were analyzed using the Pearson Correlation Analysis. The ecological niche modeling was made with the MaxEnt v4.1.0. Model outputs, mean temperature of warmest quarter (22.01 %), precipitation of coldest quarter (15.32 %), mean temperature of the driest quarter (13.60 %), isothermality (12.30 %), mean diurnal range (9.22 %), the max temperature of the warmest month (6.60 %), precipitation seasonality (5.87 %) and annual mean temperature (4.73 %) are the parameters that most affect the estimated distribution of the species and the other parameters have the least effect on the estimated distribution (each < 2.60 %). The prediction accuracy of the model is measured by the Area Under the Curve (AUC) values, which is between 0 and 1, where values closer to 1 have a greater prediction accuracy. In our model results, the AUC values vary between 0.961 and 0.990. The majority of current green turtle nesting sites will continue to be suitable for nesting into the 2100 ' s. But the habitat suitability of the current nesting beaches in Syria and Lebanon will decrease. Conservational efforts should be developed to protect not only the current nesting beaches but also other possible nesting beaches that might become viable in the future. en_US
dc.language.iso eng en_US
dc.publisher ELSEVIER GMBH-MUNICH en_US
dc.relation.isversionof 10.1016/j.jnc.2022.126320 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Chelonia mydas, Marine turtle, Ecological niche modelling, MaxEnt, Global warming en_US
dc.subject CHELONIA-MYDAS, SEA-TURTLES, BEACH MERSIN, CONSERVATION, LOGGERHEAD, POPULATION, HATCHLINGS, MANAGEMENT, PRIORITIES, SELECTION en_US
dc.title Predicting the distribution of green turtle nesting sites over the Mediterranean with outcoming climate driven changes en_US
dc.type article en_US
dc.relation.journal JOURNAL FOR NATURE CONSERVATION en_US
dc.contributor.department Ordu Üniversitesi en_US
dc.contributor.authorID 0000-0001-5498-3856 en_US
dc.contributor.authorID 0000-0002-9254-4122 en_US
dc.identifier.volume 71 en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account