Revealing ecological networks using Bayesian network inference algorithms

Understanding functional relationships within ecological networks can help reveal keys to ecosystem stability or fragility. Revealing these relationships is complicated by the difficulties of isolating variables or performing experimental manipulations within a natural ecosystem, and thus inferences...

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Bibliographic Details
Published in:	Ecology (Durham) Vol. 91; no. 7; pp. 1892 - 1899
Main Authors:	Milns, Isobel, Beale, Colin M, Smith, V. Anne
Format:	Journal Article
Language:	English
Published:	Washington, DC Ecological Society of America 01.07.2010
Subjects:	Algorithms Altitude Animal and plant ecology Animal, plant and microbial ecology Animals Aves avian community Bayes Theorem Bayesian analysis Bayesian network Bayesian networks Bayesian theory Biological and medical sciences Birds Birds - physiology Datasets Ecological modeling ecological network Ecosystem Ecosystem stability Ecosystem structure Ecosystems Fundamental and applied biological sciences. Psychology General aspects Grasses Habitats Inference Interspecific relationships Models, Biological mortality National parks Nonnative species Peak District National Park predation Species species distribution Statistical inference United Kingdom Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution Wildlife habitats United Kingdom Europe Peak District National Park avian community Ecology Peak District Algorithm ecologlcal network National park Vertebrata Animal community UK Bayes network species distributian Aves Bayesian network
ISSN:	0012-9658, 1939-9170
Online Access:	Get full text
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