Journal article 1709 views
Memory keeps you at home: a mechanistic model for home range emergence
Oikos, Volume: 118, Issue: 5, Pages: 641 - 652
Swansea University Author: Luca Borger
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DOI (Published version): 10.1111/j.1600-0706.2008.17003.x
Abstract
Despite its central place in animal ecology no general mechanistic movement model with an emergent home-range pattern has yet been proposed. Random walk models, which are commonly used to model animal movement, show diffusion instead of a bounded home range and therefore require special modification...
Published in: | Oikos |
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2009
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URI: | https://cronfa.swan.ac.uk/Record/cronfa16621 |
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2021-07-16T14:58:31.8108714 v2 16621 2013-12-14 Memory keeps you at home: a mechanistic model for home range emergence 8416d0ffc3cccdad6e6d67a455e7c4a2 0000-0001-8763-5997 Luca Borger Luca Borger true false 2013-12-14 SBI Despite its central place in animal ecology no general mechanistic movement model with an emergent home-range pattern has yet been proposed. Random walk models, which are commonly used to model animal movement, show diffusion instead of a bounded home range and therefore require special modifications. Current approaches for mechanistic modeling of home ranges apply only to a limited set of taxa, namely territorial animals and/or central place foragers. In this paper we present a more general mechanistic movement model based on a biased correlated random walk, which shows the potential for home-range behavior. The model is based on an animal tracking a dynamic resource landscape, using a biologically plausible two-part memory system, i.e. a reference- and a working-memory. Our results show that by adding these memory processes the random walker produces home-range behavior as it gains experience, which also leads to more efficient resource use. Interestingly, home-range patterns, which we assessed based on home-range overlap and increase in area covered with time, require the combined action of both memory components to emerge. Our model has the potential to predict home-range size and can be used for comparative analysis of the mechanisms shaping home-range patterns. Journal Article Oikos 118 5 641 652 home range, diffusion, random walk, spatial ecology, movement ecology, memory. 31 12 2009 2009-12-31 10.1111/j.1600-0706.2008.17003.x COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2021-07-16T14:58:31.8108714 2013-12-14T01:15:16.5870854 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Bram Van Moorter 1 Darcy Visscher 2 Simon Benhamou 3 Luca Borger 0000-0001-8763-5997 4 Mark S Boyce 5 Jean-Michel Gaillard 6 |
title |
Memory keeps you at home: a mechanistic model for home range emergence |
spellingShingle |
Memory keeps you at home: a mechanistic model for home range emergence Luca Borger |
title_short |
Memory keeps you at home: a mechanistic model for home range emergence |
title_full |
Memory keeps you at home: a mechanistic model for home range emergence |
title_fullStr |
Memory keeps you at home: a mechanistic model for home range emergence |
title_full_unstemmed |
Memory keeps you at home: a mechanistic model for home range emergence |
title_sort |
Memory keeps you at home: a mechanistic model for home range emergence |
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8416d0ffc3cccdad6e6d67a455e7c4a2 |
author_id_fullname_str_mv |
8416d0ffc3cccdad6e6d67a455e7c4a2_***_Luca Borger |
author |
Luca Borger |
author2 |
Bram Van Moorter Darcy Visscher Simon Benhamou Luca Borger Mark S Boyce Jean-Michel Gaillard |
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Oikos |
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118 |
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Swansea University |
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10.1111/j.1600-0706.2008.17003.x |
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Faculty of Science and Engineering |
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description |
Despite its central place in animal ecology no general mechanistic movement model with an emergent home-range pattern has yet been proposed. Random walk models, which are commonly used to model animal movement, show diffusion instead of a bounded home range and therefore require special modifications. Current approaches for mechanistic modeling of home ranges apply only to a limited set of taxa, namely territorial animals and/or central place foragers. In this paper we present a more general mechanistic movement model based on a biased correlated random walk, which shows the potential for home-range behavior. The model is based on an animal tracking a dynamic resource landscape, using a biologically plausible two-part memory system, i.e. a reference- and a working-memory. Our results show that by adding these memory processes the random walker produces home-range behavior as it gains experience, which also leads to more efficient resource use. Interestingly, home-range patterns, which we assessed based on home-range overlap and increase in area covered with time, require the combined action of both memory components to emerge. Our model has the potential to predict home-range size and can be used for comparative analysis of the mechanisms shaping home-range patterns. |
published_date |
2009-12-31T03:19:00Z |
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1763750487312564224 |
score |
11.036837 |