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Published on: July 24, 2018
Global patterns of vascular plant alpha diversity
Francesco Maria Sabatini1,2,3, Borja Jiménez-Alfaro4,5, Ute Jandt6,4
1German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany. francescomaria.sabatini@unibo.it.
Global plant diversity patterns vary significantly at local scales and across different spatial grains. Understanding these nuances is crucial for predicting global change impacts on biodiversity.
Area of Science:
- Ecology
- Botany
- Biodiversity Science
Background:
- Global patterns of regional (gamma) plant diversity are well-documented.
- However, the applicability of these patterns to local communities (alpha diversity) and their dependence on spatial grain remain debated.
Purpose of the Study:
- To create global maps of vascular plant alpha diversity at three spatial grains (fine, intermediate, coarse) for forests and non-forests.
- To investigate regional variations in diversity patterns and the influence of spatial grain.
- To analyze how climatic, topographic, and biogeographical factors affect alpha diversity across different grains.
Main Methods:
- Utilized a dataset of 170,272 georeferenced local plant assemblages.
- Generated global maps of alpha diversity for vascular plants at three distinct spatial grains.
- Analyzed diversity patterns in forest and non-forest ecosystems.
Main Results:
- Alpha diversity patterns are not uniform across spatial grains; some regions show consistent high diversity (e.g., Andean-Amazonian foothills).
- Identified 'scaling anomalies' where diversity patterns deviate from expectations, such as higher fine-grained richness in Eurasian temperate forests and higher coarse-grained richness in African tropical forests.
- Demonstrated that the influence of environmental variables on alpha diversity is scale-dependent.
Conclusions:
- Multi-grain analysis provides a more nuanced understanding of global vascular plant biodiversity than traditional hotspot maps.
- These findings are essential for improving predictions of biodiversity responses to global change.
- Highlights the importance of considering spatial grain in biodiversity research and conservation efforts.
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