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pro vyhledávání: '"Elizabeth L. Sander"'
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Ecological communities are characterized by complex networks of trophic and nontrophic interactions, which shape the dy-namics of the community. Machine learning and correlational methods are increasingly popular for inferring networks from
Externí odkaz:
https://doaj.org/article/0a1c1fafb39a47679b06e032395d6927
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 7, p e1004330 (2015)
The group model is a useful tool to understand broad-scale patterns of interaction in a network, but it has previously been limited in use to food webs, which contain only predator-prey interactions. Natural populations interact with each other in a
Externí odkaz:
https://doaj.org/article/cd5f191ebd774185a8f63be16fbac215
Publikováno v:
The Journal of animal ecology. 87(3)
Parasites are ubiquitous and have been shown to influence macroscopic measures of ecological network structure, such as connectance and robustness, as well as local structure, such as subgraph frequencies. Nevertheless, they are often under-represent
Publikováno v:
Scientific Reports
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Ecological communities are characterized by complex networks of trophic and nontrophic interactions, which shape the dy-namics of the community. Machine learning and correlational methods are increasingly popular for inferring networks from co-occurr
Autor:
Elizabeth L. Sander, K. H. Ma, Anne Chao, Nicholas J. Gotelli, Robert K. Colwell, T. C. Hsieh, Aaron M. Ellison
Publikováno v:
Ecological Monographs. 84:45-67
Quantifying and assessing changes in biological diversity are central aspects of many ecological studies, yet accurate methods of estimating biological diversity from sampling data have been elusive. Hill numbers, or the effective number of species,
Publikováno v:
Ecology letters. 18(6)
Neutel & Thorne (Ecology Letters, 17:651-661, June 2014) provide an approximation for the leading eigenvalue of a food web community matrix involving coefficients of its characteristic polynomial. Though valuably incorporating three-way species inter
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 7, p e1004330 (2015)
PLoS Computational Biology
PLoS Computational Biology
The group model is a useful tool to understand broad-scale patterns of interaction in a network, but it has previously been limited in use to food webs, which contain only predator-prey interactions. Natural populations interact with each other in a