Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/12475
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: A model-driven approach to quantify migration patterns: individual, regional and yearly differences
Authors: Bunnefeld, Nils
Borger, Luca
van, Moorter Bram
Rolandsen, Christer M
Dettki, Holger
Solberg, Erling Johan
Ericsson, Goran
Contact Email: nils.bunnefeld@stir.ac.uk
Keywords: animal movement
moose
net squared displacement
nonlinear mixed models
spatial ecology
Issue Date: Mar-2011
Publisher: Wiley-Blackwell
Citation: Bunnefeld N, Borger L, van Moorter B, Rolandsen CM, Dettki H, Solberg EJ & Ericsson G (2011) A model-driven approach to quantify migration patterns: individual, regional and yearly differences, Journal of Animal Ecology, 80 (2), pp. 466-476.
Abstract: 1. Animal migration has long intrigued scientists and wildlife managers alike, yet migratory species face increasing challenges because of habitat fragmentation, climate change and over-exploitation. Central to the understanding migratory species is the objective discrimination between migratory and nonmigratory individuals in a given population, quantifying the timing, duration and distance of migration and the ability to predict migratory movements. 2. Here, we propose a uniform statistical framework to (i) separate migration from other movement behaviours, (ii) quantify migration parameters without the need for arbitrary cut-off criteria and (iii) test predictability across individuals, time and space. 3. We first validated our novel approach by simulating data based on established theoretical movement patterns. We then formulated the expected shapes of squared displacement patterns as nonlinear models for a suite of movement behaviours to test the ability of our method to distinguish between migratory movement and other movement types. 4. We then tested our approached empirically using 108 wild Global Positioning System (GPS)-collared moose Alces alces in Scandinavia as a study system because they exhibit a wide range of movement behaviours, including resident, migrating and dispersing individuals, within the same population. Applying our approach showed that 87% and 67% of our Swedish and Norwegian subpopulations, respectively, can be classified as migratory. 5. Using nonlinear mixed effects models for all migratory individuals we showed that the distance, timing and duration of migration differed between the sexes and between years, with additional individual differences accounting for a large part of the variation in the distance of migration but not in the timing or duration. Overall, the model explained most of the variation (92%) and also had high predictive power for the same individuals over time (69%) as well as between study populations (74%). 6. The high predictive ability of the approach suggests that it can help increase our understanding of the drivers of migration and could provide key quantitative information for understanding and managing a broad range of migratory species.
Type: Journal Article
URI: http://hdl.handle.net/1893/12475
DOI Link: http://dx.doi.org/10.1111/j.1365-2656.2010.01776.x
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Biological and Environmental Sciences
University of Guelph
Norwegian University of Science And Technology (NTNU)
Norwegian University of Science And Technology (NTNU)
Swedish University of Agricultural Sciences
Norwegian University of Science And Technology (NTNU)
Swedish University of Agricultural Sciences

Files in This Item:
File Description SizeFormat 
Bunnefeld_JAnimEcol migration 2011.pdf559.76 kBAdobe PDFUnder Embargo until 31/12/2999     Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.

This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.