English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/122475
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Fitting population models from field data

AuthorsEmlen, J. M.; Freeman, D. C.; Kirchhoff, M. D.; Alados, Concepción L. ; Escós, J. ; Duda, J. J.
KeywordsPopulation models
Prediction
Interaction
Issue DateApr-2003
PublisherElsevier
CitationEcological Modelling 162(1-2): 119-143 (2003)
AbstractThe application of population and community ecology to solving real-world problems requires population and community dynamics models that reflect the myriad patterns of interaction among organisms and between the biotic and physical environments. Appropriate models are not hard to construct, but the experimental manipulations needed to evaluate their defining coefficients are often both time consuming and costly, and sometimes environmentally destructive, as well. In this paper we present an empirical approach for finding the coefficients of broadly inclusive models without the need for environmental manipulation, demonstrate the approach with both an animal and a plant example, and suggest possible applications. Software has been developed, and is available from the senior author, with a manual describing both field and analytic procedures.
Publisher version (URL)http://dx.doi.org/10.1016/S0304-3800(02)00390-3
URIhttp://hdl.handle.net/10261/122475
DOI10.1016/S0304-3800(02)00390-3
ISSN0304-3800
Appears in Collections:(IPE) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.