Title |
Pattern formation at multiple spatial scales drives the resilience of mussel bed ecosystems
|
---|---|
Published in |
Nature Communications, October 2014
|
DOI | 10.1038/ncomms6234 |
Pubmed ID | |
Authors |
Quan-Xing Liu, Peter M. J. Herman, Wolf M. Mooij, Jef Huisman, Marten Scheffer, Han Olff, Johan van de Koppel |
Abstract |
Self-organized complexity at multiple spatial scales is a distinctive characteristic of biological systems. Yet, little is known about how different self-organizing processes operating at different spatial scales interact to determine ecosystem functioning. Here we show that the interplay between self-organizing processes at individual and ecosystem level is a key determinant of the functioning and resilience of mussel beds. In mussel beds, self-organization generates spatial patterns at two characteristic spatial scales: small-scale net-shaped patterns due to behavioural aggregation of individuals, and large-scale banded patterns due to the interplay of between-mussel facilitation and resource depletion. Model analysis reveals that the interaction between these behavioural and ecosystem-level mechanisms increases mussel bed resilience, enables persistence under deteriorating conditions and makes them less prone to catastrophic collapse. Our analysis highlights that interactions between different forms of self-organization at multiple spatial scales may enhance the intrinsic ability of ecosystems to withstand both natural and human-induced disturbances. |
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Geographical breakdown
Country | Count | As % |
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United States | 1 | 13% |
Unknown | 7 | 88% |
Demographic breakdown
Type | Count | As % |
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Scientists | 6 | 75% |
Members of the public | 2 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 1 | <1% |
Netherlands | 1 | <1% |
United Kingdom | 1 | <1% |
Mexico | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
Unknown | 174 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 47 | 26% |
Student > Master | 26 | 14% |
Researcher | 22 | 12% |
Student > Bachelor | 12 | 7% |
Professor | 8 | 4% |
Other | 22 | 12% |
Unknown | 43 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 24% |
Environmental Science | 37 | 21% |
Physics and Astronomy | 11 | 6% |
Engineering | 8 | 4% |
Mathematics | 7 | 4% |
Other | 27 | 15% |
Unknown | 47 | 26% |