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Open AccessArticle
Predicting Optimal Sites for Ecosystem Restoration and Assisted Migration of Abies pinsapo Boiss. Using Species Distribution Modelling
by
Antonio Jesús Ariza-Salamanca
Antonio Jesús Ariza-Salamanca 1
,
Pablo González-Moreno
Pablo González-Moreno 1
,
José Benedicto López-Quintanilla
José Benedicto López-Quintanilla 2 and
Rafael María Navarro-Cerrillo
Rafael María Navarro-Cerrillo 1,3,*
1
Laboratory of Dendrochronology, Silviculture and Global Change, Dendrodat Lab-ERSAF, Department of Forest Engineering, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, 14071 Córdoba, Spain
2
Consejería Medio-Ambiente y Ordenación del Territorio, Plan de Recuperación del Pinsapo, 29071 Málaga, Spain
3
Instituto Interuniversitario del Sistema Tierra en Andalucía, Centro Andaluz de Medio Ambiente (IISTA-CEAMA), Avenida Mediterraneo, S/N, 18006 Granada, Spain
*
Author to whom correspondence should be addressed.
Forests 2025, 16(12), 1805; https://doi.org/10.3390/f16121805 (registering DOI)
Submission received: 3 November 2025
/
Revised: 24 November 2025
/
Accepted: 27 November 2025
/
Published: 30 November 2025
Abstract
Climate change exacerbates the vulnerability of relict forests. However, plant taxa may buffer extinction risk through range shifts that track suitable habitats or through adjustments in their ecological niches, either via phenotypic plasticity or evolutionary adaptation to prevailing environmental regimes. In addition to these biological responses, the risks associated with climate change can also be mitigated through forest management practices and conservation strategies, including assisted migration. We used presence–absence data from Abies pinsapo Boiss. and environmental variables to describe the past and current natural distribution of the species by using species distribution models (SDMs). Then, we characterized future patterns of habitat suitability and identified potential areas for ecosystem restoration and assisted migration. The models predict a 77% loss of suitable habitat by 2060 and up to 99% by 2100 yet highlight climatically suitable areas outside the species’ current range—particularly in the Sierra Nevada National and Natural Park and Sierras de Cazorla, Segura y Las Villas Natural Park. These results provide spatially explicit guidance for restoration and assisted migration strategies. Our findings demonstrate the need for proactive conservation planning and show that SDMs can help identify climate refugia for long-term species persistence.
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MDPI and ACS Style
Ariza-Salamanca, A.J.; González-Moreno, P.; López-Quintanilla, J.B.; Navarro-Cerrillo, R.M.
Predicting Optimal Sites for Ecosystem Restoration and Assisted Migration of Abies pinsapo Boiss. Using Species Distribution Modelling. Forests 2025, 16, 1805.
https://doi.org/10.3390/f16121805
AMA Style
Ariza-Salamanca AJ, González-Moreno P, López-Quintanilla JB, Navarro-Cerrillo RM.
Predicting Optimal Sites for Ecosystem Restoration and Assisted Migration of Abies pinsapo Boiss. Using Species Distribution Modelling. Forests. 2025; 16(12):1805.
https://doi.org/10.3390/f16121805
Chicago/Turabian Style
Ariza-Salamanca, Antonio Jesús, Pablo González-Moreno, José Benedicto López-Quintanilla, and Rafael María Navarro-Cerrillo.
2025. "Predicting Optimal Sites for Ecosystem Restoration and Assisted Migration of Abies pinsapo Boiss. Using Species Distribution Modelling" Forests 16, no. 12: 1805.
https://doi.org/10.3390/f16121805
APA Style
Ariza-Salamanca, A. J., González-Moreno, P., López-Quintanilla, J. B., & Navarro-Cerrillo, R. M.
(2025). Predicting Optimal Sites for Ecosystem Restoration and Assisted Migration of Abies pinsapo Boiss. Using Species Distribution Modelling. Forests, 16(12), 1805.
https://doi.org/10.3390/f16121805
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