Statistical Prediction of Endemic Plant Species Conservation under Mediterranean-Continental Transition Conditions

Özet

This study examines endemic plant species conservation under Mediterranean-Continental Transition Conditions. A mixed design of laboratory experiments and numerical modelling was applied. Key themes include endemic species, conservation, flora. Field surveys record endemic species and pollinators, highlighting the importance of protected areas for wildlife.

Künye

Yayın türü

Makale

Dergi / Yayınevi / Etkinlik

Journal of Forest Ecology and Biodiversity Research

Yıl

2018

Dil

İngilizce

İndeksler

TR Dizin

WoS araştırma alanı

Environmental Sciences & Ecology

Anahtar sözcükler

endemic species, conservation, flora

Yazar sırası (kurum yazarı)

Corresponding

DOI

10.5555/avys.2018.0093

Atıf (WoS / Scopus / Toplam)

0 / 0 / 23

Kurum araştırmacısı

Doç. Dr. Derya Naz Çelik

Erişim ve lisans

Kapalı erişim

Kalıcı bağlantı

https://avys.mr1.com.tr/yayin/122

BMSKA Sınıflandırma Gerekçesi

SDG 15: Karasal Yaşam en yüksek skoru aldı (94.1 ≥ eşik 28). Eşleşen kavramlar: species, endemic, conservation, flora, wildlife, protected area, pollinator.

Model: TF-IDF (karakter n-gram) + Türkçe/İngilizce anahtar kelime sözlüğü v1 · atama eşiği 28.0 · yöntem: sorgu-seti · JSON gerekçe · tüm eşleşme kayıtları

Veri kaynağı: Kurgusal örnek (demo) kayıt — DOI test önekidir, gerçek yayın değildir

Tam Metin

Bu yayın için tam metin yüklenmemiş.

Bu yayının aldığı atıflar (10)

Dizinlerin bildirdiği toplam atıf: 23; aşağıda kayıtlı olanlar listelenmiştir.

1. Modelling endemic species
   Georgi Dimitrov · Environmental Sciences & Ecology Letters · 2026
   Google Scholar · DOI: 10.5555/ref.2026.4532
2. A Systematic Review of Forest Fire Risk in Türkiye Öz atıf
   Derya Naz Çelik · Forest Ecology and Biodiversity Open · 2025
   TR Dizin · DOI: 10.5555/avys.2025.0095
3. Machine learning approaches for conservation
   Oğuz Han Erdem, Marko Jovanović, Yasemin Tuna Şahin · Environmental Sciences & Ecology Letters · 2025
   Google Scholar
4. Recent trends in conservation
   Luca Ferrari · Environmental Sciences & Ecology Open · 2025
   Google Scholar · DOI: 10.5555/ref.2025.7624
5. Machine learning approaches for conservation
   Ivana Horvat · Journal of Environmental Sciences & Ecology Research · 2025
   Google Scholar · DOI: 10.5555/ref.2025.9326
6. Machine learning approaches for endemic species
   Ivana Horvat, Selin Duru Arslan, Ilgın Su Kara · Environmental Sciences & Ecology Open · 2024
   TR Dizin · DOI: 10.5555/ref.2024.5735
7. Modelling conservation
   Oğuz Han Erdem, Anna Schmidt · Environmental Sciences & Ecology Letters · 2024
   Google Scholar
8. Advances in flora
   Cem Alper Yıldız, Ivana Horvat, Selin Duru Arslan · Environmental Sciences & Ecology Open · 2023
   Google Scholar
9. Towards sustainable endemic species
   Anna Schmidt, Maria K. Petrova, Sofia Lindqvist · Environmental Sciences & Ecology Open · 2020
   TR Dizin
10. A review of flora
    Mustafa Eren Çakır, Gökçe Mine Tan, Ivana Horvat · Journal of Environmental Sciences & Ecology Research · 2019
    Google Scholar · DOI: 10.5555/ref.2019.1377

Kaynakça: bu yayının yaptığı atıflar (8)

1. Recent trends in flora
   Sofia Lindqvist, Barış Cem Uysal, Elena Ionescu · Environmental Sciences & Ecology Open · 2017
   TR Dizin · DOI: 10.5555/ref.2017.6109
2. Advances in endemic species
   Deniz Ada Korkut · Journal of Environmental Sciences & Ecology Research · 2017
   TR Dizin
3. Statistical Prediction of Endemic Plant Species Conservation in the Istranca Mountains Öz atıf
   Derya Naz Çelik · Journal of Forest Ecology and Biodiversity Research · 2015
   Google Scholar · DOI: 10.5555/avys.2015.0090
4. Modelling conservation
   Mustafa Eren Çakır · Environmental Sciences & Ecology Letters · 2011
   TR Dizin
5. Recent trends in flora
   Sofia Lindqvist, Elena Ionescu, Jan Novák · Advances in Environmental Sciences & Ecology · 2010
   Google Scholar · DOI: 10.5555/ref.2010.4699
6. An experimental study of conservation
   Luca Ferrari · Journal of Environmental Sciences & Ecology Research · 2010
   Google Scholar · DOI: 10.5555/ref.2010.3212
7. Machine learning approaches for flora
   Maria K. Petrova · Journal of Environmental Sciences & Ecology Research · 2008
   TR Dizin · DOI: 10.5555/ref.2008.9039
8. Modelling flora
   Ivana Horvat, Yasemin Tuna Şahin, Selin Duru Arslan · Journal of Environmental Sciences & Ecology Research · 2005
   TR Dizin