Will ferulago glareosa kandemir and hedge (Apiaceae) be extinct in the near future?
Özet
Turkey is one of the most important temperate countries on Earth in terms of plant diversity. There is a growing interest in understanding habitat suitability and future distributions of species in the scientific world. Because climate change has impacted ecosystems with major consequences, species are shifting and declining much faster than in the past. Some global climate models used for predicting climate in the future better represent and have higher reliability for some climate types. Ferulago glareosa, which lives in Turkey, is a rare endemic plant species. In this study, we investigated current and future distributions of the species determined to be habitat-specific to lead to future studies on conservation. The Maxent model was used to map the current and future potential distribution of the species for Turkey. HadGEM2-ES and MPI-ESM-LR global climate models based on predicted future suitability of F. glareosa for 2050 and 2070 were examined. Models were constructed based on 20 presence points of the species and 2 abiotic variables. The current species distribution modeling of Ferulago glareosa predicted by the model produced very high success rates with training and test AUC values of 0.970 and 0.968, respectively. The true skill statistics value of the model (0.8245) indicated excellent model performance. In the end, we have demonstrated how predictions obtained from a highly reliable global climate model for a region’s climate could provide more dependable insights into the future distribution of narrow-spread endemic species. © 2020, Turkiye Klinikleri. All rights reserved.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Sari, İdris | |
| dc.contributor.author | Kandemir, Ali | |
| dc.date.accessioned | 2026-10-18T20:28:44.488908558Z | |
| dc.date.available | 2026-10-18T20:28:44.488908558Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Turkey is one of the most important temperate countries on Earth in terms of plant diversity. There is a growing interest in understanding habitat suitability and future distributions of species in the scientific world. Because climate change has impacted ecosystems with major consequences, species are shifting and declining much faster than in the past. Some global climate models used for predicting climate in the future better represent and have higher reliability for some climate types. Ferulago glareosa, which lives in Turkey, is a rare endemic plant species. In this study, we investigated current and future distributions of the species determined to be habitat-specific to lead to future studies on conservation. The Maxent model was used to map the current and future potential distribution of the species for Turkey. HadGEM2-ES and MPI-ESM-LR global climate models based on predicted future suitability of F. glareosa for 2050 and 2070 were examined. Models were constructed based on 20 presence points of the species and 2 abiotic variables. The current species distribution modeling of Ferulago glareosa predicted by the model produced very high success rates with training and test AUC values of 0.970 and 0.968, respectively. The true skill statistics value of the model (0.8245) indicated excellent model performance. In the end, we have demonstrated how predictions obtained from a highly reliable global climate model for a region’s climate could provide more dependable insights into the future distribution of narrow-spread endemic species. © 2020, Turkiye Klinikleri. All rights reserved. | |
| dc.description.sponsorship | Funding text 1: This work was supported by the Erzincan Binali Yildirim University BAP Unit’s funds (Project No. FEN-A-080715-0158). Data used in this article were taken from the PhD thesis named “Reproductive ecology, conservation biology, and distribution mapping of Ferulago glareosa Kandemir and Hedge (Apiaceae)”. The authors would like to express their gratitude to Assoc. Prof. Dr. Ahmet Mert and Asst. Prof. Özdemir Şentürk in the modeling study.; Funding text 2: This work was supported by the Erzincan Binali Yildirim University BAP Unit?s funds (Project No. FEN-A-080715-0158). Data used in this article were taken from the PhD thesis named ?Reproductive ecology, conservation biology, and distribution mapping of Ferulago glareosa Kandemir and Hedge (Apiaceae)?. The authors would like to express their gratitude to Assoc. Prof. Dr. Ahmet Mert and Asst. Prof. ?zdemir ?ent?rk in the modeling study. | |
| dc.identifier.doi | 10.3906/bot-2001-33 | |
| dc.identifier.eissn | 1303-6106 | |
| dc.identifier.endpage | 440 | |
| dc.identifier.issn | 1300-008X | |
| dc.identifier.issue | 4 | |
| dc.identifier.scopus | 2-s2.0-85088015199 | |
| dc.identifier.startpage | 427 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/13939 | |
| dc.identifier.volume | 44 | |
| dc.identifier.wos | WOS:000550037100006 | |
| dc.language.iso | en | |
| dc.publisher | Turkiye Klinikleri | |
| dc.relation.ispartof | Turkish Journal of Botany | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Climate change | |
| dc.subject | Ferulago glareosa | |
| dc.subject | Habitat suitability | |
| dc.subject | Plant conservation | |
| dc.subject | Red List | |
| dc.subject | Species distribution | |
| dc.subject | Turkey | |
| dc.subject | Apiaceae | |
| dc.subject | Ferulago | |
| dc.subject | biodiversity | |
| dc.subject | climate effect | |
| dc.subject | climate modeling | |
| dc.subject | climate prediction | |
| dc.subject | endemic species | |
| dc.subject | habitat use | |
| dc.subject | plant | |
| dc.title | Will ferulago glareosa kandemir and hedge (Apiaceae) be extinct in the near future? | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 3 | |
| rdl.citation.trdizin | 0 | |
| rdl.citation.wos | 3 | |
| rdl.department | T.C. MİLLİ EĞİTİM BAKANLIĞI | |
| rdl.department | ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ | |
| rdl.oa.status | gold | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.source.index | TRDIZIN | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |
