Comparative study of the analytical hierarchy process, frequency ratio, and logistic regression models for predicting the susceptibility to Ips sexdentatus in Crimean pine forests
Yazarlar (4)
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
Prof. Dr. Gonca Ece ÖZCAN Kastamonu Üniversitesi, Türkiye
Prof. Dr. Korhan ENEZ Kastamonu Üniversitesi, Türkiye
Oytun Emre Sakıcı Kastamonu Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Ecological Informatics (Q2)
Dergi ISSN 1574-9541 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 11-2022
Cilt / Sayı / Sayfa 71 / 1 / 101811–0 DOI 10.1016/j.ecoinf.2022.101811
Makale Linki http://dx.doi.org/10.1016/j.ecoinf.2022.101811
Özet
The six-toothed bark beetle Ips sexdentatus is one of the most important pests of coniferous trees that can cause extensive tree mortality, and change the structure and composition of forest ecosystems. Many abiotic and biotic factors affect the infestation of bark beetles. Early detection of forest stands predisposed to bark beetle infestations will benefit from reducing the impacts of possible infestations. The study focused on the production and comparison of Ips sexdentatus susceptibility maps using the analytical hierarchy process (AHP), frequency ratio (FR), and logistical regression (LR) models. The research was carried out in the Crimean pine forests of the Taşköprü Forest Enterprise in Kastamonu City in the Western Black Sea region of Türkiye. The eight main criteria used to produce the map were the stand structure, site index, crown closure, stand age, slope, elevation, maximum temperature, and solar radiation …
Anahtar Kelimeler
Bark beetle infestation | Crimean pine | GIS | Ips sexdentatus | ROC curve | Susceptibility