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Published on: January 10, 2025
Seagrass macrofaunal abundance shows both multifractality and scale-invariant patchiness
1School of Biological Sciences and Centre for Marine Science, University of Queensland, Brisbane 4072, Queensland, Australia; Biodiversity Program, Queensland Museum, Brisbane 4101, Queensland, Australia.
Macrobenthic assemblages in seagrass beds exhibit multifractal patterns across various scales. This spatial distribution, characterized by scale-invariance, occurs despite low species interactions, challenging self-organization theories.
Area of Science:
- Marine ecology
- Benthic ecology
- Seagrass ecosystem dynamics
Background:
- Understanding spatial patterns of species abundance is crucial for marine ecology.
- Seagrass meadows are vital habitats supporting diverse macrobenthic communities.
- Previous studies often assume scale-dependent processes in ecological patterning.
Purpose of the Study:
- To investigate the spatial distribution of macrobenthic assemblages and dominant species in an intertidal seagrass habitat.
- To determine if ecological patterns exhibit multifractality and scale-invariance.
- To assess the relationship between spatial patterning and species interaction levels.
Main Methods:
- Examined macrobenthic abundance across hierarchically nested spatial scales (33 to 2115 m²).
- Applied multifractal analysis to characterize spatial patterns of the entire assemblage and 10 dominant species.
- Analyzed abundance peaks and variance distribution across sampling stations.
Main Results:
- Multifractality characterized both the whole macrobenthic assemblage and its dominant species across scales.
- Patchiness in abundance exhibited scale-invariance for the assemblage and some dominant species.
- A small percentage of stations (12%) accounted for a large proportion of total variance (88%), indicating 'hot-spots'.
Conclusions:
- Ecological patterning in this seagrass system displays multifractality and scale-invariance, even with low species interactions.
- Critical self-organization is unlikely to be the sole driver of observed spatial patterns.
- Taylor's power-law coefficient (β) is not a reliable index of aggregation but indicates changes in dispersion patterns.
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