Projected shifts in climatic suitability of olive (Olea europaea L.) in the Mediterranean

Context Climate change is reconfiguring the spatial structure of agricultural landscapes worldwide. The Mediterranean Basin, a hotspot of change and the core region for olive cultivation, faces significant shifts in the distribution of this economically and culturally pivotal crop, with profound implications for landscape ecology, ecosystem services, and sustainability. Objective This study aims to assess current and future climatic suitability for olive cultivation ( Olea europaea L.) across the Mediterranean Basin, identifying potential shifts in suitable areas under contrasting climate scenarios while explicitly accounting for model complexity, transferability, and extrapolation uncertainty. Methods We applied a species distribution modeling framework based on MaxEnt using 7,490 presence records and a set of bioclimatic predictors at 30 arc-second resolution. A baseline MaxEnt model was first developed to ensure comparability with previous basin-scale assessments. Model calibration and transferability were subsequently refined using the kuenm package, exploring multiple combinations of feature classes, regularization multipliers, and variable subsets. Future projections were generated under CMIP6 SSP1-2.6 and SSP5-8.5 scenarios for mid- and late-century periods. Extrapolation risk was evaluated using Mobility-Oriented Parity (MOP) analysis, while soil and aridity constraints were explored through post-hoc analyses. Results Minimum temperature of the coldest month (Bio6) emerged as the dominant predictor of olive suitability. Model projections consistently indicate a northward expansion of climatically suitable areas, particularly in France, driven by the relaxation of winter temperature constraints. Traditional olive-growing regions in southern Europe and North Africa remain broadly suitable but exhibit increasing exposure to climatic stress related to heat, reduced chilling, and water scarcity. Post-hoc analyses suggest that soil type and aridity indices alone are insufficient to delineate suitability patterns at this spatial resolution. Conclusions Our results reveal a substantial reorganization of Mediterranean olive-growing landscapes under future climate change. While new opportunities may emerge in currently marginal regions, climatic suitability does not automatically translate into agronomic viability. Adaptation strategies in traditional areas and cautious planning in emerging regions will be essential. By integrating basin-scale modeling with rigorous calibration and extrapolation diagnostics, this study provides a robust and transparent framework to support adaptive planning and climate-resilient management of olive-based agroecosystems.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2026-03-13
DOI
https://doi.org/10.3389/fpls.2026.1743577
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Projected shifts in climatic suitability of olive (Olea europaea L.) in the Mediterranean

Giorgia Tranchina, Giacomo Belvisi
Frontiers in Plant Science
Species Distribution and Climate Change
article

Projected shifts in climatic suitability of olive (Olea europaea L.) in the Mediterranean

Giorgia Tranchina, Giacomo Belvisi
article en

Abstract

Context Climate change is reconfiguring the spatial structure of agricultural landscapes worldwide. The Mediterranean Basin, a hotspot of change and the core region for olive cultivation, faces significant shifts in the distribution of this economically and culturally pivotal crop, with profound implications for landscape ecology, ecosystem services, and sustainability. Objective This study aims to assess current and future climatic suitability for olive cultivation ( Olea europaea L.) across the Mediterranean Basin, identifying potential shifts in suitable areas under contrasting climate scenarios while explicitly accounting for model complexity, transferability, and extrapolation uncertainty. Methods We applied a species distribution modeling framework based on MaxEnt using 7,490 presence records and a set of bioclimatic predictors at 30 arc-second resolution. A baseline MaxEnt model was first developed to ensure comparability with previous basin-scale assessments. Model calibration and transferability were subsequently refined using the kuenm package, exploring multiple combinations of feature classes, regularization multipliers, and variable subsets. Future projections were generated under CMIP6 SSP1-2.6 and SSP5-8.5 scenarios for mid- and late-century periods. Extrapolation risk was evaluated using Mobility-Oriented Parity (MOP) analysis, while soil and aridity constraints were explored through post-hoc analyses. Results Minimum temperature of the coldest month (Bio6) emerged as the dominant predictor of olive suitability. Model projections consistently indicate a northward expansion of climatically suitable areas, particularly in France, driven by the relaxation of winter temperature constraints. Traditional olive-growing regions in southern Europe and North Africa remain broadly suitable but exhibit increasing exposure to climatic stress related to heat, reduced chilling, and water scarcity. Post-hoc analyses suggest that soil type and aridity indices alone are insufficient to delineate suitability patterns at this spatial resolution. Conclusions Our results reveal a substantial reorganization of Mediterranean olive-growing landscapes under future climate change. While new opportunities may emerge in currently marginal regions, climatic suitability does not automatically translate into agronomic viability. Adaptation strategies in traditional areas and cautious planning in emerging regions will be essential. By integrating basin-scale modeling with rigorous calibration and extrapolation diagnostics, this study provides a robust and transparent framework to support adaptive planning and climate-resilient management of olive-based agroecosystems.

Frontiers in Plant ScienceVol. 17
University of Palermo (AR)
Openalex Percentile: Top 26%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.