Title |
More than a meal… integrating non‐feeding interactions into food webs
|
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Published in |
Ecology Letters, February 2012
|
DOI | 10.1111/j.1461-0248.2011.01732.x |
Pubmed ID | |
Authors |
Sonia Kéfi, Eric L Berlow, Evie A Wieters, Sergio A Navarrete, Owen L Petchey, Spencer A Wood, Alice Boit, Lucas N Joppa, Kevin D Lafferty, Richard J Williams, Neo D Martinez, Bruce A Menge, Carol A Blanchette, Alison C Iles, Ulrich Brose |
Abstract |
Ecology Letters (2012) ABSTRACT: Organisms eating each other are only one of many types of well documented and important interactions among species. Other such types include habitat modification, predator interference and facilitation. However, ecological network research has been typically limited to either pure food webs or to networks of only a few (<3) interaction types. The great diversity of non-trophic interactions observed in nature has been poorly addressed by ecologists and largely excluded from network theory. Herein, we propose a conceptual framework that organises this diversity into three main functional classes defined by how they modify specific parameters in a dynamic food web model. This approach provides a path forward for incorporating non-trophic interactions in traditional food web models and offers a new perspective on tackling ecological complexity that should stimulate both theoretical and empirical approaches to understanding the patterns and dynamics of diverse species interactions in nature. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 29% |
United Kingdom | 2 | 12% |
South Africa | 2 | 12% |
New Zealand | 1 | 6% |
Germany | 1 | 6% |
Spain | 1 | 6% |
Mexico | 1 | 6% |
Unknown | 4 | 24% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 76% |
Scientists | 2 | 12% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
France | 12 | 2% |
Brazil | 9 | 1% |
Switzerland | 5 | <1% |
Spain | 5 | <1% |
United Kingdom | 5 | <1% |
Canada | 4 | <1% |
Namibia | 3 | <1% |
South Africa | 3 | <1% |
Other | 22 | 3% |
Unknown | 614 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 174 | 25% |
Researcher | 170 | 24% |
Student > Master | 79 | 11% |
Student > Bachelor | 55 | 8% |
Professor > Associate Professor | 37 | 5% |
Other | 119 | 17% |
Unknown | 61 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 361 | 52% |
Environmental Science | 175 | 25% |
Earth and Planetary Sciences | 17 | 2% |
Biochemistry, Genetics and Molecular Biology | 14 | 2% |
Physics and Astronomy | 10 | 1% |
Other | 28 | 4% |
Unknown | 90 | 13% |