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Article

Predicting Optimal Sites for Ecosystem Restoration and Assisted Migration of Abies pinsapo Boiss. Using Species Distribution Modelling

by
Antonio Jesús Ariza-Salamanca
1,
Pablo González-Moreno
1,
José Benedicto López-Quintanilla
2 and
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
(This article belongs to the Section Forest Ecology and Management)

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.
Keywords: climate change adaptation; forest management; Abies pinsapo Boiss.; ecological modelling climate change adaptation; forest management; Abies pinsapo Boiss.; ecological modelling

Share and Cite

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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