Predicting the Susceptibility to Pityokteines curvidens Using GIS with AHP and MaxEnt Models in Fir Forests (Analytic Hierarchy Process - Models, Methods, Concepts, and Applications)
Yazarlar (3)
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
Prof. Dr. Gonca Ece ÖZCAN Kastamonu Üniversitesi, Türkiye
Prof. Dr. Korhan ENEZ Kastamonu Üniversitesi, Türkiye
| Bölüm Adı | Predicting the Susceptibility to Pityokteines curvidens Using GIS with AHP and MaxEnt Models in Fir Forests | ||
| Kitap Adı | Analytic Hierarchy Process - Models, Methods, Concepts, and Applications | ||
| Bölüm Sayfaları | 1-16 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Diğer uluslararası bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2023 |
| DOI Numarası | – | ISBN | 978-1-83769-540-9 |
| Basıldığı Ülke | İngiltere | Basıldığı Şehir | London |
| Kitap Linki | https://www.intechopen.com/welcome/0a36394ca20095bcca43002a219c6999 | ||
| UAK Araştırma Alanları |
Orman Entomolojisi ve Koruma
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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 most crucial variables in both models’ predictions of P. curvidens susceptibility were found to be stand structure, NDVI, and elevation. Comparing the maps produced by the two models, the MaxEnt model gave more precise predictions than AHP. This study may make it easier for decision-makers to create susceptibility maps for fir engraver bark beetles. |
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