| 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 |
| Atıf Sayıları | |
| Google Scholar | 20 |
| Web of Science | 12 |
| Scopus | 12 |
| Dergi Adı | Ecological Informatics |
| Yayıncı | Elsevier B.V. |
| Açık Erişim | Evet |
| ISSN | 1574-9541 |
| E-ISSN | 1878-0512 |
| CiteScore | 11,4 |
| SJR | 1,491 |
| SNIP | 1,795 |