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Published on: April 16, 2014
Top-down control inhibits spatial self-organization of a patterned landscape
Ellen J Weerman1, Peter M J Herman, Johan Van De Koppel
1Centre for Estuarine and Marine Ecology, Netherlands Institute of Ecology (NIOO-KNA W), P.O. Box 40, 4400 AC Yerseke, The Netherlands. e.j.weerman@rug.nl
Ecology
|May 31, 2011
Summary
Herbivores control self-organized patterns in intertidal mudflats. Their grazing activity inhibits diatom growth and hummock formation, leading to pattern collapse in summer.
Area of Science:
- Ecology
- Marine Biology
- Ecosystem Dynamics
Background:
- Self-organized spatial patterns in primary producers are common but their formation is poorly understood.
- The role of consumers, particularly herbivores, in influencing these patterns has not been studied.
Purpose of the Study:
- To investigate the impact of herbivore grazing on the self-organized spatial patterns of diatom-covered hummocks in an intertidal mudflat ecosystem.
- To determine if top-down trophic control by herbivores influences the development and maintenance of these primary producer patterns.
Main Methods:
- Observational study of spatial patterns and herbivore populations over time on a Dutch intertidal mudflat.
- Manipulative field experiment involving the exclusion of benthic herbivores from designated sediment plots.
- Quantification of diatom growth, hummock formation, and sediment bed level variation in experimental and control plots.
Main Results:
- Regular spatial patterns of diatom hummocks formed in spring but collapsed by summer.
- A significant increase in benthic herbivore abundance coincided with pattern collapse.
- Herbivore exclusion experiments demonstrated that herbivores actively inhibit diatom growth and hummock formation.
Conclusions:
- Benthic herbivores exert top-down control on self-organized spatial patterns in primary producers.
- Herbivore activity is a key factor in the seasonal dynamics and collapse of these biological-geomorphic patterns.
- Understanding trophic interactions is crucial for predicting the resilience and functioning of intertidal ecosystems.
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