Modeling the susceptibility of Ips sexdentatus with maximum entropy (MaxEnt).
Yazarlar (1)
Prof. Dr. Gonca Ece ÖZCAN Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
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| Makale Dili | – | Basım Tarihi | 09-2024 |
| Cilt / Sayı / Sayfa | 26 / 2 / 16–27 | DOI | 10.5555/20240372457 |
| Makale Linki | https://www.cabidigitallibrary.org/doi/full/10.5555/20240372457 | ||
| UAK Araştırma Alanları |
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| Özet |
| Forests are most affected by climate change and related factors. Climate change causes changes in the distribution of host trees and their associated pests. Predictive models that determine the spatial distributions of species are important for applications that will guide planners in the field of ecology and conservation. It is predicted that the ever-increasing damage of bark beetles, which cause significant negativities in forest ecosystems, will have serious consequences. Therefore, determining the potential distributions of bark beetle species in forest ecosystems is important for sustainable forest management. Climate, topographic and stand parameters significantly affect the epidemics of these species. In this study, a potential susceptibility map for the damage of Ips sexdentatus was created using the Maximum Entropy (MaxEnt) approach, taking into account 19 different bioclimatic, crown closer, elevation, and … |
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BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 1 |