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Published on: October 29, 2016
Comparing spatial diversification and meta-population models in the Indo-Australian Archipelago
Loïc Chalmandrier1,2, Camille Albouy1,2, Patrice Descombes1,2
1Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, Zurich, Switzerland.
Geological changes in island landscapes drive biodiversity. A dynamic island diversification model better explains species richness in the Indo-Australian Archipelago than static models.
Area of Science:
- Ecology
- Evolutionary Biology
- Biogeography
Background:
- Understanding biodiversity gradients is key to comprehending life's diversification.
- Island biogeography models often treat islands as static, overlooking geological dynamics.
- Long-term geological changes in archipelagos can significantly influence island biodiversity and diversification.
Purpose of the Study:
- To compare mechanistic spatial-temporal and spatial meta-population models for inferring species richness.
- To assess the impact of dynamic versus static landscapes on biodiversity patterns.
- To identify processes driving species diversity in the Indo-Australian Archipelago.
Main Methods:
- Compared a spatial-temporal species diversification model with a spatial meta-population model.
- Simulated species richness patterns using both models.
- Inferred model performance against floristic diversity data from the Indo-Australian Archipelago.
Main Results:
- The spatial-temporal diversification model's simulations more closely matched observed diversity than the static meta-population model.
- Dynamic island repositioning, leading to disconnection and reconnection, was linked to high species diversity on Borneo.
- The meta-population model's prediction of higher diversity on mainlands was less compatible with empirical data.
Conclusions:
- Dynamic geological changes in island landscapes are crucial for explaining biodiversity gradients.
- The spatial-temporal diversification model provides a more accurate framework for understanding island biodiversity.
- Comparing models with contrasting assumptions aids in pinpointing key evolutionary and ecological processes.
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