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Are there general mechanisms of animal home range behaviour? A review and prospects for future research
Abstract
Home range behaviour is a common pattern of space use, having fundamental consequences for ecological processes. However, a general mechanistic explanation is still lacking. Research is split into three separate areas of inquiry – movement models based on random walks, individual‐based models based on optimal foraging theory, and a statistical modelling approach – which have developed without much productive contact. Here we review recent advances in modelling home range behaviour, focusing particularly on the problem of identifying mechanisms that lead to the emergence of stable home ranges from unbounded movement paths. We discuss the issue of spatiotemporal scale, which is rarely considered in modelling studies, as well as highlighting the need to consider more closely the dynamical nature of home ranges. Recent methodological and theoretical advances may soon lead to a unified approach, however, conceptually unifying our understanding of linkages among home range behaviour and ecological or evolutionary processes.
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“GIS technologies and least-cost analysis tools, such as Linkage Mapper [19] and Circuitscape [20], have demonstrated their potential in diverse fields, from biodiversity conservation to the study of ecological networks [21–25].”
From Tracing neanderthal mobility through the romanian carpathians: a GIS-based least-cost connectivity model (2025) · cites this paper as [22]
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“This setup provides a much more realistic simulation of mobility in complex landscapes—a central principle in applying circuit theory, which assumes the existence of multiple alternative paths between nodes. The Circuitscape user guide explicitly describes this option as using either four first-order or eight first- and second-order neighbors [22].”
From Tracing neanderthal mobility through the romanian carpathians: a GIS-based least-cost connectivity model (2025) · cites this paper as [22]
In the citing paper
“These represent the most efficient and, most likely, the most frequented routes between sites, suggesting direct and recurrent routes in the logic of Neanderthal mobility [22,51].”
From Tracing neanderthal mobility through the romanian carpathians: a GIS-based least-cost connectivity model (2025) · cites this paper as [22]
In the citing paper
“Circuitscape uses an analogy with electric current to simulate how flow “flows” between sources through a resistive medium [22,23], in our case represented by the cost raster in Fig 3, the same one used for Linkage Mapper.”
From Tracing neanderthal mobility through the romanian carpathians: a GIS-based least-cost connectivity model (2025) · cites this paper as [22]
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Dream to Predict? REM Dreaming as Prospective Coding
Llewellyn, S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01961 · Cited by 45
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Metadata
- Authors
- Börger, L., Dalziel, B. D., & Fryxell, J. M.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2008-04-08
- Volume
- 11
- Issue
- 6
- Pages
- 637-650
- ISSN
- 1461-023X
- 1461-0248
- Cited by
- 616
- References
- 1
- Language
- en
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