Prediction by maximum entropy of potential habitat of the cork oak (Quercus suber L.) in Maamora Forest, Morocco
Yazarlar (7)
Said Laaribya Université Chouaib Doukkali, Fas
Assmaa Alaouı Université Ibn Zohr, Fas
Prof. Dr. Sezgin AYAN Kastamonu Üniversitesi, Türkiye
Abdelkader Benabou
Mohammed V University İn Rabat, Fas
Mohammed V University İn Rabat, Fas
Adnane Labbaci Université Ibn Zohr, Fas
Halim Ouhaddou
Regional Directorate Of Water And Forest, Fas
Regional Directorate Of Water And Forest, Fas
Mohamed Bijou
Mohammed V University İn Rabat, Fas
Mohammed V University İn Rabat, Fas
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
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| Dergi Adı | Forestist | ||
| Dergi ISSN | 2602-4039 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2021 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 15-05-2021 |
| Cilt / Sayı / Sayfa | 71 / 2 / 63–69 | DOI | 10.5152/forestist.2021.20059 |
| Makale Linki | https://forestist.org/en/prediction-by-maximum-entropy-of-potential-habitat-of-the-cork-oak-quercus-suber-l-in-maamora-forest-morocco-132690 | ||
| UAK Araştırma Alanları |
Silvikültür
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| Özet |
| In this paper, the maximum entropy (MaxEnt) algorithm was applied to estimate the current and potential distributions of cork oak (Quercus suber L.) in the Maarmora forest of Morocco to provide a basis for its conservation under climate change conditions in the Mediterranean basin. A total of 1,428 field-based spatial records of cork oak locations were used (altitude and 19 bioclimatic environmental variables) to model the potential distribution of the cork oak. The adjusted model had a good predictive quality (area under the curve= 0.81). Precipitation during the wettest quarter of the year, seasonality in precipitation, altitude, and seasonal variations in temperature were the key factors determining the distribution of the cork oak in the Maamora forest. Most areas with currently suitable conditions for cork oak were located in the western and central Maamora forest regions, which enjoy a humid bioclimate and receive significant sea spray from the Atlantic Ocean. Moving away from the ocean, the humidity decreases, and the temperature increases, such that the cork oak faces difficulties in adapting and regenerating. The results can be used to identify the high-priority areas for cork oak restoration and conservation of this species against the expected impact of climate change. |
| Anahtar Kelimeler |
| Climate change | Environmental variables | MaxEnt | Quercus suber | Spatial modeling |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 17 |
| Scopus | 32 |
| Google Scholar | 35 |