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No complexity–stability relationship in empirical ecosystems

No complexity–stability relationship in empirical ecosystems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bb6cdb4b24e47c9868d233d30cca3ea

No complexity–stability relationship in empirical ecosystems

About this item

Full title

No complexity–stability relationship in empirical ecosystems

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2016-08, Vol.7 (1), p.12573-12573, Article 12573

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Understanding the mechanisms responsible for stability and persistence of ecosystems is one of the greatest challenges in ecology. Robert May showed that, contrary to intuition, complex randomly built ecosystems are less likely to be stable than simpler ones. Few attempts have been tried to test May’s prediction empirically, and we still ignore wha...

Alternative Titles

Full title

No complexity–stability relationship in empirical ecosystems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4bb6cdb4b24e47c9868d233d30cca3ea

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bb6cdb4b24e47c9868d233d30cca3ea

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/ncomms12573

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