Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/118850
Title: Topographic complexity is a principal driver of plant endemism in Mediterranean islands
Authors: Camilleri, Leanne
Debono, Katya
Grech, Francesca
Bellia, Andrea Francesca
Pace, Gyllain
Lanfranco, Sandro
Keywords: Island plants -- Mediterranean Region
Plant species -- Mediterranean Region
Plants -- Mediterranean Region
Endemic plants -- Conservation -- Mediterranean Region
Geospatial data -- Mediterranean Region
Issue Date: 2024
Publisher: MDPI AG
Citation: Camilleri, L., Debono, K., Grech, F., Bellia, A. F., Pace, G., & Lanfranco, S. (2024). Topographic complexity is a principal driver of plant endemism in Mediterranean islands. Plants, 13(4), 546.
Abstract: The frequency of endemism in the flora of Mediterranean Islands does not follow a straightforward species–area relationship, and the determinants of endemism are several and complex. The aim of this study was to estimate the explanatory power of a small number of variables on the species richness of vascular plants on selected Mediterranean islands and archipelagos, and on the proportion of narrow endemism in each. We used a novel approach whereby the topographic complexity and isolation of an island were estimated through more detailed methods than those utilised previously. These parameters, along with island area and human population density, were used in a number of regression models with the number of taxa or proportion of endemics as the dependent variables. The results demonstrated that ‘topography’, a factor that was not specifically included in previous models for Mediterranean islands, exerted a consistent, statistically significant effect on both the number of taxa as well as the proportion of endemic taxa, in all models tested. The ‘isolation’ factor was not a significant predictor of the number of taxa in any of the models but was a statistically significant predictor of the proportion of endemic taxa in two of the models. The results can be used to make broad predictions about the expected number of taxa and endemics on an island, enabling the categorisation of islands as ‘species-poor’ or ‘species-rich’, potentially aiding conservation efforts.
URI: https://www.um.edu.mt/library/oar/handle/123456789/118850
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