A framework for modelling range shifts and migrations: asking when, whither, whether and will it return. (25th May 2017)
- Record Type:
- Journal Article
- Title:
- A framework for modelling range shifts and migrations: asking when, whither, whether and will it return. (25th May 2017)
- Main Title:
- A framework for modelling range shifts and migrations: asking when, whither, whether and will it return
- Authors:
- Gurarie, Eliezer
Cagnacci, Francesca
Peters, Wibke
Fleming, Christen H.
Calabrese, Justin M.
Mueller, Thomas
Fagan, William F. - Editors:
- Börger, Luca
- Abstract:
- Summary: Many animals undertake movements that are longer scaled and more directed than their typical home ranging behaviour. These movements include seasonal migrations (e.g. between breeding and feeding grounds), natal dispersal, nomadic range shifts and responses to local environmental disruptions. While various heuristic tools exist for identifying range shifts and migrations, none explicitly model the movement of the animals within a statistical framework that facilitates quantitative comparisons. We present the mechanistic range shift analysis (MRSA), a method to estimate a suite of range shift parameters: times of initiation, duration of transitions, centroids and areas of respective ranges. The method can take the autocorrelation and irregular sampling that is characteristic of much movement data into account. The mechanistic parameters suggest an intuitive measure, the range shift index, for the extent of a range shift. The likelihood based estimation further allows for statistical tests of several relevant hypotheses, including a range shift test, a stopover test and a site fidelity test. The analysis tools are provided in anR package (marcher ). We applied the MRSA to a population of GPS tracked roe deer ( Capreolus capreolus ) in the Italian Alps between 2005 and 2008. With respect to seasonal migration, this population is extremely variable and difficult to classify. Using the MRSA, we were able to quantify the behaviours across the population and amongSummary: Many animals undertake movements that are longer scaled and more directed than their typical home ranging behaviour. These movements include seasonal migrations (e.g. between breeding and feeding grounds), natal dispersal, nomadic range shifts and responses to local environmental disruptions. While various heuristic tools exist for identifying range shifts and migrations, none explicitly model the movement of the animals within a statistical framework that facilitates quantitative comparisons. We present the mechanistic range shift analysis (MRSA), a method to estimate a suite of range shift parameters: times of initiation, duration of transitions, centroids and areas of respective ranges. The method can take the autocorrelation and irregular sampling that is characteristic of much movement data into account. The mechanistic parameters suggest an intuitive measure, the range shift index, for the extent of a range shift. The likelihood based estimation further allows for statistical tests of several relevant hypotheses, including a range shift test, a stopover test and a site fidelity test. The analysis tools are provided in anR package (marcher ). We applied the MRSA to a population of GPS tracked roe deer ( Capreolus capreolus ) in the Italian Alps between 2005 and 2008. With respect to seasonal migration, this population is extremely variable and difficult to classify. Using the MRSA, we were able to quantify the behaviours across the population and among individuals across years, identifying extents, durations and locations of seasonal range shifts, including cases that would have been ambiguous to detect using existing tools. The strongest patterns were differences across years: many animals simply did not perform a seasonal migration to wintering grounds during the mild winter of 2006–2007, even though some of these same animals did move extensively in other, harsher winters. For seasonal migrants, however, site fidelity across years was extremely high, even after skipping an entire seasonal migration. These results suggest that for roe deer behavioural plasticity and tactical responses to immediate environmental cues are reflected in the decision of whether rather than where to migrate. The MRSA also revealed a trade‐off between the probability of migrating and the size of a home range. Abstract : Seasonal migrations and range shifts are fundamental behaviours for many animals. The authors developed a novel tool for quantifying and characterizing range shifts. Among roe deer in the Italian Alps, it revealed that 'where' to migration is very consistent, but 'whether' may depend strongly on immediate conditions. … (more)
- Is Part Of:
- Journal of animal ecology. Volume 86:Number 4(2017:Jul.)
- Journal:
- Journal of animal ecology
- Issue:
- Volume 86:Number 4(2017:Jul.)
- Issue Display:
- Volume 86, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 86
- Issue:
- 4
- Issue Sort Value:
- 2017-0086-0004-0000
- Page Start:
- 943
- Page End:
- 959
- Publication Date:
- 2017-05-25
- Subjects:
- Capreolus capreolus -- continuous time movement models -- migratoriness -- OU process -- OUF process -- partial migration -- roe deer
Animal ecology -- Periodicals
591.7 - Journal URLs:
- http://www.jstor.org/journals/00218790.html ↗
http://www3.interscience.wiley.com/journal/117960113/home ↗
http://onlinelibrary.wiley.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0021-8790;screen=info;ECOIP ↗ - DOI:
- 10.1111/1365-2656.12674 ↗
- Languages:
- English
- ISSNs:
- 0021-8790
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4936.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1896.xml