Forest and Isolation Determine Bat Species Richness on Mediterranean Islands: Conservation Implications

ABSTRACT Background The study of island species richness has gone far beyond traditional theories, as more and more studies attempt to include new predictor variables besides island area. Despite the rich bat diversity of Mediterranean islands, no studies have examined the factors influencing chiropteran species richness in such a geographic context. Aims We used Greek islands as a model to detect drivers of bat species richness based on a broad species occurrence dataset from islands of the Aegean and Ionian Seas, which was explored using 10 potential predictor variables. Materials and Methods Initially, we comprehensively evaluated all available data and sources for 53 Greek islands, deemed essential. This resulted in a reduced set of 28 islands. Predictors were grouped into three categories: island area, landscape diversity and island isolation. Generalised linear models were employed to identify the most significant factors explaining bat species richness in the 28 islands. Results Tree cover and the distance between the islands and their nearest coast (mainland or island) best performed to predict bat species richness on Greek islands. Discussion We show the important role of landscape composition and degree of isolation in influencing the distribution of bat species on islands. Conclusion We highlight the importance of forest habitats and the vital role of their management and protection, especially in the insular systems of the Mediterranean basin, where the risk of forest degradation or loss due to wildfires and land use change is especially high.

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Publication Details

Journal
Mammal Review
Published
2024-12-04
DOI
https://doi.org/10.1111/mam.12382
Citations
1
Primary Topic
Bat Biology and Ecology Studies
Type
article
Field-Weighted Citation Impact
1.03
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article

Forest and Isolation Determine Bat Species Richness on Mediterranean Islands: Conservation Implications

Panagiotis Georgiakakis, Danilo Russo, Ioannis Ekklisiarchos
1 citations
Mammal Review
Bat Biology and Ecology Studies
1.03
article

Forest and Isolation Determine Bat Species Richness on Mediterranean Islands: Conservation Implications

Panagiotis Georgiakakis, Danilo Russo, Ioannis Ekklisiarchos
article en
1 citations

Abstract

ABSTRACT Background The study of island species richness has gone far beyond traditional theories, as more and more studies attempt to include new predictor variables besides island area. Despite the rich bat diversity of Mediterranean islands, no studies have examined the factors influencing chiropteran species richness in such a geographic context. Aims We used Greek islands as a model to detect drivers of bat species richness based on a broad species occurrence dataset from islands of the Aegean and Ionian Seas, which was explored using 10 potential predictor variables. Materials and Methods Initially, we comprehensively evaluated all available data and sources for 53 Greek islands, deemed essential. This resulted in a reduced set of 28 islands. Predictors were grouped into three categories: island area, landscape diversity and island isolation. Generalised linear models were employed to identify the most significant factors explaining bat species richness in the 28 islands. Results Tree cover and the distance between the islands and their nearest coast (mainland or island) best performed to predict bat species richness on Greek islands. Discussion We show the important role of landscape composition and degree of isolation in influencing the distribution of bat species on islands. Conclusion We highlight the importance of forest habitats and the vital role of their management and protection, especially in the insular systems of the Mediterranean basin, where the risk of forest degradation or loss due to wildfires and land use change is especially high.

Mammal ReviewVol. 55(3)
University of Crete (GR), University of Naples Federico II (IT)
Life below water
Openalex Percentile: Top 16%
Bat Biology and Ecology Studies
1.03
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