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Published on: December 7, 2021
Gamma diversity and under-sampling together generate patterns in beta-diversity.
Aniruddha Marathe1,2, Dharma Rajan Priyadarsanan3, Jagdish Krishnaswamy3,4
1Ashoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Srirampura, Jakkur Post, Bangalore, 560064, India. aniruddha.pravin.marathe@gmail.com.
Beta diversity, a measure of species turnover, is influenced by regional species pools and local abundance. Understanding these factors is key to community assembly, especially along geographic gradients.
Area of Science:
- Ecology
- Community Ecology
- Biodiversity Research
Background:
- Beta diversity links local and regional species pools, offering insights into community assembly mechanisms.
- Geographic gradients can influence beta diversity patterns, but are affected by species pool size and local abundance.
Purpose of the Study:
- To explore how regional species pools, abundance distributions, and local abundance affect beta diversity patterns.
- To investigate the interplay between species pool limitations and under-sampling effects on beta diversity estimates.
- To demonstrate these effects using empirical data from ant communities along an elevational gradient.
Main Methods:
- Exploration of theoretical effects of species pools and abundance on beta diversity.
- Graphical methods to highlight under-sampling effects on gamma-beta diversity relationships.
- Analysis of empirical data on ant communities across an elevational gradient in the Eastern Himalayas.
Main Results:
- Beta diversity patterns are distinctly influenced by species pool limits and under-sampling.
- Under-sampling effects can alter established relationships between gamma and beta diversity.
- A shift from species pool reduction to under-sampling effects was observed at mid-elevations in ant communities.
Conclusions:
- Multiple ecological processes with contrasting effects simultaneously shape beta diversity across geographic gradients.
- Accurate estimation of beta diversity requires consideration of both regional species pool size and local sampling intensity.
- Elevational gradients can reveal complex interactions between factors driving biodiversity patterns.
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