Volume 22, Issue 65 (6-2022)                   jgs 2022, 22(65): 247-264 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Safaei M, Rezayan H, Zeaiean Firouzabadi P, Torahi A A. Modelling potential impacts of climate change on the oak spatial distribution (Case study: Ilam and Lorestan provinces). jgs 2022; 22 (65) :247-264
URL: http://jgs.khu.ac.ir/article-1-3448-en.html
1- Kharazmi University
2- Kharazmi University , hani.rezayan@khu.ac.ir
Abstract:   (4105 Views)
Examining the effects of climate change on the oak spatial distribution, as the main species of Zagros forests and its ecological and economic values is of significant importance. Here, we used species distribution models for simulating current climatic suitability of oak and its potential changes in 2050 and 2070. For this purpose, five regression-based and machine learning approaches, four climatic variables related to temperature and precipitation and two optimistic (RCP 2.6) and pessimistic (RCP 8.5)  greenhouse-gas scenarios were used. The results of measuring the accuracy of models by AUC indicated the good performance of all algorithms and Random Forest achieved the highest accuracy (AUC = 0.95) among other methods. The results showed that in both time periods and under both scenarios, changes will occur in oak spatial distribution and the most severe one would be a 42.9 percent loss in the oak climatic suitability in 2070 under pessimistic scenario (RCP 8.5).
 
Full-Text [PDF 1949 kb]   (998 Downloads)    
Type of Study: Applicable |
Received: 2019/06/22 | Accepted: 2019/10/23

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb