Observed and Predicted Geographic Distribution of Acer monspessulanum L. Using the MaxEnt Model in the Context of Climate Change

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Título: Observed and Predicted Geographic Distribution of Acer monspessulanum L. Using the MaxEnt Model in the Context of Climate Change
Autor/es: Aouinti, Hamdi | Moutahir, Hassane | Touhami, Issam | Bellot, Juan | Khaldi, Abdelhamid
Grupo/s de investigación o GITE: Gestión de Ecosistemas y de la Biodiversidad (GEB)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ecología | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"
Palabras clave: Acer monspessulanum L. | MaxEnt | Climate change | Modeling | Species distribution | Mediterranean
Fecha de publicación: 2-dic-2022
Editor: MDPI
Cita bibliográfica: Aouinti H, Moutahir H, Touhami I, Bellot J, Khaldi A. Observed and Predicted Geographic Distribution of Acer monspessulanum L. Using the MaxEnt Model in the Context of Climate Change. Forests. 2022; 13(12):2049. https://doi.org/10.3390/f13122049
Resumen: Acer monspessulanum (Montpellier Maple) is an important deciduous tree species native to the Mediterranean region. It is largely distributed in the southern part of western Europe; however, it is geographically less present in north Africa and western Asia. The effects of the most significant environmental variables for its habitat suitability, and climate change, are unclear in terms of the future changes to its distribution. The objective of the present study was to model the current and future geographical potential distribution of the Montpellier Maple in the Mediterranean basin and West Asia using maximum entropy modeling software (MaxEnt). The value of the Area Under the Curve (AUC) of MaxEnt was used to analyze the model’s performance. More than 5800 well-distributed presence points, elevation, slope, aspect, topographic wetness index (TWI), natural vegetation characteristics from MODIS products, and 19 bioclimatic variables were used to conduct the study. Regarding the projections of the species distribution under climate change, 17 global climatic models were used under two RCP scenarios (4.5 and 8.5) for the 2040–2060 and the 2060–2080 time periods. The results show that temperature seasonality (40% contribution to the model), elevation (33.5%), mean annual temperature (6.9%), mean annual precipitation (6.2%), and max temperature of the warmest month (4.5%) were identified as the primary factors that accounted for the current distribution of the Montpellier Maple. Under the climate change scenarios, MaxEnt predicts a large decrease in the species suitability area, with a shift towards the southwestern regions of the species distribution, especially to the mountainous zones of the Moroccan Atlas. Our results show that climate largely limits the distribution of the Montpellier Maple in the Mediterranean basin, as its change in the future is expected to significantly reduce the suitable area by more than 99% from the historical climate conditions, to reach only 16,166.9 and 9874.7 km2 under the moderate RCP4.5 and extreme RCP8.5 scenarios, respectively, by the end of the 21st century. Our study can provide a good view of the future changes in the distribution of Montpellier Maple for its protection and sustainable management.
Patrocinador/es: Funding support for this research was provided by the project titled “Eating the wild: Improving the value-chain of Mediterranean Wild Food Products (WFP)”—WildFood (Reference Number: 2019-SECTION2-29) and the project: HYDROMED (PID-2019-111332RB-C21). Hassane Moutahir is supported by the Generalitat Valenciana and the European Social Fund (APOSTD20/2019-7956).
URI: http://hdl.handle.net/10045/130159
ISSN: 1999-4907
DOI: 10.3390/f13122049
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/f13122049
Aparece en las colecciones:INV - GEB - Artículos de Revistas

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