Title
Discrete choice modelling of natal dispersal : choosing where to breed from a finite set of available areas Discrete choice modelling of natal dispersal : choosing where to breed from a finite set of available areas
Author
Faculty/Department
Faculty of Applied Economics
Faculty of Sciences. Biology
Publication type
article
Publication
Subject
Chemistry
Biology
Source (journal)
Methods in Ecology and Evolution
Volume/pages
6(2015) :9 , p. 997-1006
ISSN
2041-210X
ISI
000362916100003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
1.Classic natal dispersal studies focus mainly on distance travelled. Although distances capture some of the main selective pressures related to dispersal, this approach cannot easily incorporate the properties of the actual destination versus the available alternatives. Recently, movement ecology studies have addressed questions on movement decisions in relation to availability of resources and/or availability of suitable habitats through the use of discrete choice models (DCMs), a widely used type of models within econometrics, which explains individual choices as a function of the properties of a finite number of alternatives. 2.In this contribution, we show how the dispersal discrete choice model (DDCM) can be used for analysing natal dispersal data in patchy environments given that the natal and the breeding area of the disperser are observed. We test this method using a case study on Great Tits (Parus major) in an archipelago of small woodlots. 3.Our results show that DDCMs are able to capture the results of classic distance-based approaches, and simultaneously allow testing hypotheses on how departure and settlement are affected by variables that characterize the disperser, the natal patch and the breeding area, as well as their interactions. 4.DDCMs can be applied to any other species and system that uses some form of discrete breeding location or a certain degree of discretization can be applied.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/bb603d/d5dffe6c.pdf
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