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Published on: September 17, 2016
Rank clocks and plant community dynamics.
Scott L Collins1, Katharine N Suding, Elsa E Cleland
1Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131, USA. scollins@sevilleta.unm.edu
Rank clocks and rank abundance statistics reveal hidden community dynamics. These methods show significant changes in species over time, even when species richness appears stable.
Area of Science:
- Ecology
- Community Ecology
- Ecological Dynamics
Background:
- Summarizing complex temporal dynamics in ecological communities is challenging.
- Traditional univariate approaches often obscure intricate changes in species composition.
- Graphical and analytical frameworks are needed for intuitive visualization of community change.
Purpose of the Study:
- To introduce and apply rank clocks and rank abundance statistics for visualizing and quantifying community dynamics.
- To assess temporal changes in species abundances and richness across diverse ecosystems.
- To compare community dynamics under different environmental conditions (e.g., fertilization, burning frequency, vegetation type).
Main Methods:
- Utilized rank clocks, plotting species rank order abundance clockwise over time.
- Employed mean rank shift and proportional species persistence to quantify community structure changes.
- Analyzed long-term data from old fields, tallgrass prairies, and Chihuahuan desert communities.
Main Results:
- Rank clocks revealed substantial temporal dynamics in relative species abundances, often masked by stable species richness.
- Fertilized old fields showed initially high mean rank shifts that stabilized below unfertilized plots.
- Infrequently burned prairies and desert grasslands exhibited higher rank shifts than frequently burned or shrubland communities, respectively.
- Arid grasslands demonstrated greater dynamism than mesic grasslands based on proportional persistence.
Conclusions:
- Rank clocks and rank abundance statistics offer valuable insights into ecological community dynamics.
- These methods provide a more intuitive understanding of temporal changes compared to traditional univariate analyses.
- The findings highlight the importance of considering relative species abundances and temporal shifts in ecological research.
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