Predicting the susceptibility to Pityokteines curvidens using GIS with analytical hierarchy process and, maximum entropy models in fir forests
Yazarlar (3)
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | |||
| Makale Dili | – | Basım Tarihi | 02-2023 |
| Makale Linki | https://scholar.google.com/scholar?cluster=11873318970569070366&hl=en&oi=scholarr | ||
| UAK Araştırma Alanları |
Ormancılıkta Transport, Ölçme ve Bilgi Teknolojileri
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| Özet |
| One of the most damaging insects to coniferous trees, especially pine and fir, is Pityokteines curvidens. It may cause significant tree death and alter the composition and structure of the forest. Early detection of forest stands vulnerable to bark beetle infestations and can help reduce the harmful effects of possible infestations. The main objective of the study was to compare the susceptibility maps of P. curvidens, utilizing the analytical hierarchy process and maximum entropy approaches. The study was conducted in the fir forests of the Küre Forest Enterprise in Türkiye. P. curvidens susceptibility maps were created using the stand structure, forest stand form, site index, slope, aspect, elevation, NDVI, and solar radiation as the eight key criteria. The accuracy of the maps based on the analytical hierarchy process and maximum entropy approaches was assessed using the receiver operating characteristic curves. The … |
| Anahtar Kelimeler |
