Title |
How to predict community responses to perturbations in the face of imperfect knowledge and network complexity
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Published in |
Proceedings of the Royal Society B: Biological Sciences, December 2013
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DOI | 10.1098/rspb.2013.2355 |
Pubmed ID | |
Authors |
Helge Aufderheide, Lars Rudolf, Thilo Gross, Kevin D. Lafferty |
Abstract |
Recent attempts to predict the response of large food webs to perturbations have revealed that in larger systems increasingly precise information on the elements of the system is required. Thus, the effort needed for good predictions grows quickly with the system's complexity. Here, we show that not all elements need to be measured equally well, suggesting that a more efficient allocation of effort is possible. We develop an iterative technique for determining an efficient measurement strategy. In model food webs, we find that it is most important to precisely measure the mortality and predation rates of long-lived, generalist, top predators. Prioritizing the study of such species will make it easier to understand the response of complex food webs to perturbations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 33% |
United Kingdom | 2 | 33% |
Norway | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
Brazil | 2 | 2% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
United Kingdom | 1 | <1% |
Venezuela, Bolivarian Republic of | 1 | <1% |
New Zealand | 1 | <1% |
Other | 0 | 0% |
Unknown | 97 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 32% |
Researcher | 24 | 22% |
Student > Doctoral Student | 13 | 12% |
Student > Bachelor | 8 | 7% |
Professor | 7 | 6% |
Other | 11 | 10% |
Unknown | 12 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 52 | 47% |
Environmental Science | 23 | 21% |
Physics and Astronomy | 5 | 5% |
Engineering | 3 | 3% |
Earth and Planetary Sciences | 2 | 2% |
Other | 12 | 11% |
Unknown | 14 | 13% |