Modeling potential habitat distribution of scots pine under climate change scenarios
Yazarlar (7)
Prof. Dr. Mehmet Çetin Kastamonu Üniversitesi, Türkiye
Prof. Dr. Halil Baris Ozel Bartin Üniversitesi, Türkiye
Mohammed Miftah Mohammed Bouzqayyah
Kastamonu Üniversitesi, Türkiye
Dilek Birgul Zeren
Samsun University, Türkiye
Prof. Dr. Hakan ŞEVİK Kastamonu Üniversitesi, Türkiye
Prof. Dr. Tugrul Varol Bartin Üniversitesi, Türkiye
Ugur Canturk
Düzce Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Journal of Forestry Research (Q1)
Dergi ISSN 1007-662X Dergi Bilgileri (2026)
Makale Dili İngilizce Basım Tarihi 12-2026
Cilt / Sayı / Sayfa 37 / 1 / – DOI 10.1007/s11676-026-02005-2
Makale Linki https://link.springer.com/article/10.1007/s11676-026-02005-2
UAK Araştırma Alanları
Ziraat, Orman ve Su Ürünleri
Özet
Global climate change is impacting organisms and ecosystems on a wide scale, with increasingly visible effects. This ongoing process is anticipated to significantly threaten species and populations, especially plants that lack mobility, potentially causing large-scale losses in the near future. To mitigate these impacts, it is essential to understand how long-lived forest trees will respond to climate shifts and to facilitate necessary migration mechanisms through human intervention. This study aims to model the suitable habitat distribution of Scots pine (Pinus sylvestris), a crucial forest tree species in Türkiye, under two climate scenarios (SSP245 and SSP585) for the present and future years (2040, 2060, 2080, and 2100) using the Maxent entropy model, with mapping support from ArcGIS software. Habitat suitability was analyzed with 21 parameters (19 bioclimatic and 2 topographic). Jackknife test results indicated that …
Anahtar Kelimeler
Bioclimatic factors | Climate change | Habitat suitability | Maxent | Scots pine
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Scopus 1
Google Scholar 2
Modeling potential habitat distribution of scots pine under climate change scenarios

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