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Modeling Climate-Driven Vegetation Changes Under Contrasting Temperate and Arid Conditions in the Mediterranean Basin
Marco Bianchini1, Mohamed Tarhouni2, Matteo Francioni1
1Department of Agricultural, Food and Environmental Sciences Università Politecnica delle Marche Ancona Italy.
Climate change is altering Mediterranean vegetation, with temperate zones seeing grassland expansion and arid zones favoring woodlands. These shifts impact habitat suitability and ecosystem dynamics, requiring adaptive planning.
Area of Science:
- Ecology and Environmental Science
- Climate Change Research
- Remote Sensing and GIS
Background:
- The Mediterranean basin is a climate change hotspot, experiencing significant climatic shifts.
- Spontaneous vegetation is sensitive to environmental changes, making it a key indicator of climate impacts.
- Understanding future vegetation distribution is crucial for conservation and land management.
Purpose of the Study:
- To investigate the impacts of climate change on spontaneous vegetation in two contrasting Mediterranean regions.
- To predict future vegetation distribution under different climate change scenarios (SSP 245 and SSP 585).
- To evaluate the effectiveness of different modeling algorithms for predicting habitat suitability.
Main Methods:
- Selected two case study areas: Monti Sibillini (temperate) and Sidi Makhlouf (arid).
- Utilized CMCC-ESM2 climate model for future climate projections and spectral indices (NDVI, SAVI) as vegetation proxies.
- Employed K-means classification, validated with ESA WorldCover 2020 data and presence-only points, and built predictive models using MaxEnt, Random Forest, XG Boost, and Neural Network.
Main Results:
- Projected increasing temperatures and decreasing precipitation in both regions.
- Observed stable woodlands/shrublands but expanding discontinuous grasslands in the temperate area; expanding woodlands and declining bare soil in the arid area under SSP 585.
- Identified an upward shift for shrublands and grasslands, with significant areal distribution changes and altered habitat suitability.
Conclusions:
- Climate change is driving significant vegetation redistribution and altering ecosystem dynamics in the Mediterranean.
- MaxEnt proved to be the most reliable algorithm for predicting habitat suitability with small presence-only datasets.
- Findings emphasize the need for adaptive strategies in ecological planning to address future environmental challenges.
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