دورية أكاديمية

Maximum entropy modelling to predict the impact of abiotic variables on the potential distribution of Orthotomicus erosus (Wollaston) (Coleoptera, Curculionidae, Scolytinae) in Iran

التفاصيل البيبلوغرافية
العنوان: Maximum entropy modelling to predict the impact of abiotic variables on the potential distribution of Orthotomicus erosus (Wollaston) (Coleoptera, Curculionidae, Scolytinae) in Iran
المؤلفون: Mona Ghorbanian, Azadeh Karimi-Malati, Mahdi Jalaeian, Mahmood Fazeli Sangani
المصدر: Journal of Insect Biodiversity and Systematics, Vol 9, Iss 4, Pp 711-725 (2023)
بيانات النشر: Tarbiat Modares University, 2023.
سنة النشر: 2023
المجموعة: LCC:Science (General)
LCC:Life
LCC:Zoology
LCC:Agriculture
LCC:Ecology
مصطلحات موضوعية: climatic variables, ecological niche, jackknife, maxent, pine forests, Science (General), Q1-390, Life, QH501-531, Zoology, QL1-991, Agriculture, Ecology, QH540-549.5
الوصف: Risk assessment is utilized to prioritize preventive measures based on the probability of dispersal success of pests. A main part of the risk assessment procedure is to determine the effects of environmental variables on the current and potential geographical distributions. In the present study, the spatial distribution of the Mediterranean pine engraver, Orthotomicus erosus (Wollaston), was mapped and predicted using MaxEnt. Presence records of O. erosus (north, northeast, west and centre of Iran), environmental and topographic variables, with the lowest correlations among themselves and the highest effects on the pest distribution were used. A total of 76 presence records of O. erosus were collected. The results of the distribution prediction modelling revealed that the northern part of Iran and the areas along the Zagros are the most suitable habitats for this species. Examining environmental variable importance on the distribution of O. erosus showed that the variables related to temperature and precipitation had more contribution in the MaxEnt model, respectively than the altitude. Furthermore, the high accuracy of the model (0.928) indicated that the MaxEnt had an acceptable performance for the prediction of O. erosus distribution. These findings would provide primary and critical information about the potential distribution of O. erosus in Iran, which could be effective for the stable population regulation of this destructive pest.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2423-8112
Relation: http://jibs.modares.ac.ir/article-36-70027-en.pdf; https://doaj.org/toc/2423-8112
URL الوصول: https://doaj.org/article/e0fda875d92d43578279d84b8f9b2889
رقم الأكسشن: edsdoj.0fda875d92d43578279d84b8f9b2889
قاعدة البيانات: Directory of Open Access Journals