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Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist
Marti J Anderson1, Thomas O Crist, Jonathan M Chase
1Institute of Information and Mathematical Sciences, Massey University, Albany Campus, Auckland, New Zealand. m.j.anderson@massey.ac.nz
This study clarifies ecological beta diversity analysis by distinguishing directional turnover from non-directional variation. Using multiple measures and null models helps reveal drivers of biodiversity patterns.
Area of Science:
- Ecology
- Biodiversity Science
- Quantitative Ecology
Background:
- Recent research on beta diversity has led to a proliferation of concepts, measures, and methods, causing confusion.
- A clear framework is needed to navigate the diverse analytical approaches for beta diversity.
Purpose of the Study:
- To provide a roadmap for analyzing beta diversity, focusing on widely used and ecologically relevant methods.
- To distinguish between directional turnover and non-directional variation in ecological communities.
- To guide researchers in selecting appropriate measures and analytical techniques for their specific questions.
Main Methods:
- Distinguishing two types of beta diversity: directional turnover and non-directional variation.
- Evaluating different beta diversity measures based on their emphasis on presence/absence vs. relative abundance and inclusion/exclusion of joint absences.
- Utilizing a case study of Indonesian coral assemblages to demonstrate a multi-faceted analytical approach.
- Advocating for the rigorous application of null models to identify processes driving observed patterns.
Main Results:
- Different beta diversity measures highlight distinct properties of ecological data.
- A multi-faceted approach, combining various measures and null models, is effective for uncovering underlying patterns.
- The choice of measure significantly impacts the interpretation of beta diversity patterns.
Conclusions:
- Careful consideration of research questions is crucial for selecting appropriate beta diversity analyses.
- Employing multiple measures in concert provides a more comprehensive understanding of community variation.
- Null models are essential tools for inferring the ecological processes shaping beta diversity.
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