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Benchmarks in organism performance and their use in comparative analyses
Peter J Edmunds1, Hollie M Putnam, Roger M Nisbet
1Department of Biology, California State University, Northridge, CA 91330-8303, USA. peter.edmunds@csun.edu
Oecologia
|May 10, 2011
Summary
Functional benchmarks for assessing organismal stress responses are often missing, especially for scleractinian corals. This study highlights data limitations for synthetic analyses and suggests Dynamic Energy Budget (DEB) models as a solution.
Area of Science:
- Marine Biology
- Ecology
- Physiology
Background:
- Assessing organismal responses to stress requires functional benchmarks, which are often unavailable for many taxa.
- Coral reefs face significant environmental challenges, making functional benchmarks crucial for understanding stress impacts.
Purpose of the Study:
- To compile data on scleractinian corals to establish a reference for gauging stress responses.
- To evaluate the capacity of available data to support synthetic analyses by testing depth and family contrasts.
- To identify limitations in existing data for establishing functional benchmarks and conducting comparative stressor analyses.
Main Methods:
- Compiled data from 126 papers on 37 genera and 73 species of scleractinian corals, describing 13 traits.
- Analyzed trait data independently and by depth to assess depth- and family-level effects.
- Utilized Dynamic Energy Budget (DEB) models to predict holobiont carbon ratios and respiration.
Main Results:
- Data sparsity limited the detection of depth- and family-level effects.
- A trend of declining dark respiration and increasing calcification with depth was observed.
- Significant limitations were found in the available literature for synthetic analyses and establishing functional benchmarks.
Conclusions:
- Existing literature on scleractinian corals has limitations for synthetic analyses and establishing functional benchmarks.
- Differences in measurement environments may contribute to observed data variability.
- Dynamic Energy Budget (DEB) models offer a promising approach to overcome data limitations for comparative stressor response analyses across taxa.
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