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Titre :
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Systems analysis of ecosystems
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Auteurs :
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R. O'Neill, Editeur scientifique
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Type de document :
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ouvrage
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Editeur :
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Fairland, Md. : International Co-operative Pub. House, 1979
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Collection :
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Statistical ecology series, num. 9
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ISBN/ISSN/EAN :
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978-0-89974-006-5
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Format :
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402 p.
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Langues:
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= Anglais
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Catégories :
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Ecologie végétale
Informatique, statistique, mathématique
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Mots-clés:
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STATISTIQUE
;
ECOLOGIE
;
SYSTEME D'ANALYSE
;
ECOSYSTEME
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Résumé :
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The papers of this volume represent advances, applications and tutorials in the analysis of ecological systems. Stochastic models are emphasized because of their increasing role in ecological simulation. The problems of constructing and analysing such models loom large however, and this volume may be viewed as a preliminary attempt to address some of the problems. Steinhorst leads off with a description of stochastic differential equation models in biology. This paper introduces the reader to the classical literature on those equations. O'Neill follows with a description of the role natural variability plays in introducing error into model predictions. Steinhorst's second paper introduces some of the problems of analysis of large models. O'Neill's second paper addresses the paradox of considering a system with stochastic elements, modeling it deterministically and then adding noise to simulate the stochasticity. O'Neill, Elwood and Hildebrand consider another nemesis of the ecosytems modeler - spatial heterogeneity. Their paper on theoretical implications illustrates the current state of the art. O'Neill and Giddings follow with a study of populations and ecosystems, raising the question of levels of resolution in a model. The relationship between phytoplankton competition and community production is their example. Cancela da Fonseca reviews colonization models and then develops three simulations of temporary soil ecosystem habitats. Halfon follows with a discussion of modeling philosophies and techniques as illustrated by several examples from his work with Canadian aquatic systems. Innis concludes the volume with an introductory treatment of ecosystem simulation with emphasis on philosophy and the art of simulation modeling.
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