Book chapter 1365 views
Migration quantified: Constructing models and linking them with data
Luca Borger 
,
Jason Matthiopoulos,
Ricardo M Holdo,
JuanM Morales,
Iain Couzin,
Edward McCauley
,
Jason Matthiopoulos,
Ricardo M Holdo,
JuanM Morales,
Iain Couzin,
Edward McCauley
Animal Migration: A Synthesis., Pages: 111 - 128
Swansea University Author:
Luca Borger
Abstract
This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-l...
| Published in: | Animal Migration: A Synthesis. |
|---|---|
| Published: |
Oxford
Oxford University Press
2011
|
| Online Access: |
http://ukcatalogue.oup.com/product/9780199568994.do |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa16635 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies. |
|---|---|
| Keywords: |
Migration, Movement ecology |
| College: |
Faculty of Science and Engineering |
| Start Page: |
111 |
| End Page: |
128 |