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Biogeographic, climatic and spatial drivers differentially affect α-, β- and γ-diversities on oceanic archipelagos
Juliano Sarmento Cabral1, Patrick Weigelt, W Daniel Kissling
1Free Floater Group Biodiversity, Macroecology and Conservation Biogeography, , Georg-August University of Göttingen, Büsgenweg 1, 37077, Göttingen, Germany, Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, , PO Box 94248, 1090 Amsterdam, The Netherlands.
Archipelago-level analysis reveals that island spatial arrangement and number of islands are crucial for understanding plant diversity patterns. This approach offers new insights into island ecology and evolution.
Area of Science:
- Ecology
- Biogeography
- Island Biogeography
Background:
- Island biogeography traditionally focuses on single islands, overlooking their nested nature within archipelagos.
- Most islands are part of larger archipelagos, necessitating a broader analytical scope.
Purpose of the Study:
- To investigate drivers of plant diversity across entire archipelagos, not just individual islands.
- To differentiate the roles of biogeographic, climatic, and spatial factors in shaping archipelago-scale diversity.
Main Methods:
- Analyzed vascular plant species richness across 23 global archipelagos and 174 islands.
- Partitioned species diversity (gamma) into alpha, beta (nestedness and replacement) components.
- Employed multiple regressions and structural equation models to assess environmental and spatial drivers.
Main Results:
- Biogeographic and climatic factors significantly influenced alpha and gamma diversity.
- Archipelago spatial structure (number of islands, inter-island distance, area range) was key in explaining beta diversity.
- Gamma diversity was primarily driven indirectly by abiotic factors through beta diversity components.
Conclusions:
- The spatial arrangement of islands and beta diversity are critical for understanding insular plant diversity.
- A shift from single-island to archipelago-level analysis provides deeper ecological and evolutionary insights.
- The proposed framework is applicable to diverse taxa and archipelago-like systems for biodiversity research.
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