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The effects of environmental perturbation and measurement error on estimates of the shape parameter in the theta-logistic model of population regulation

Author
BARKER, Daniel1 ; SIBLY, Richard M2 3
[1] Sir Harold Mitchell Building, School of Biology, University of St. Andrews, St. Andrews, Fife Kyl6 9TH, United Kingdom
[2] School of Biological Sciences, University of Reading, Reading RG6 6AS, United Kingdom
[3] Centre for Integrated Population Ecology, Denmark
Source

Ecological modelling. 2008, Vol 219, Num 1-2, pp 170-177, 8 p ; ref : 3/4 p

CODEN
ECMODT
ISSN
0304-3800
Scientific domain
Ecology; Environment
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Bias Density dependence Environmental stochasticity Generalised logistic Observation error Return rate Simulation Theta-logistic
Keyword (fr)
Densité dépendance Environnement Erreur mesure Erreur systématique Modèle logistique Perturbation Régulation naturelle population
Keyword (en)
Density dependence Environment Measurement error Bias Logistic model Perturbation Population regulation
Keyword (es)
Densidad dependencia Medio ambiente Error medida Error sistemático Modelo logístico Perturbación Regulación natural población
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20872464

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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