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Emerging Network-Based Tools in Movement Ecology

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Emerging Network-Based Tools in Movement Ecology. / Jacoby, David; Freeman, Robin.
In: Trends in Ecology and Evolution, Vol. 31, No. 4, 01.04.2016, p. 301-314.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jacoby, D & Freeman, R 2016, 'Emerging Network-Based Tools in Movement Ecology', Trends in Ecology and Evolution, vol. 31, no. 4, pp. 301-314. https://doi.org/10.1016/j.tree.2016.01.011

APA

Jacoby, D., & Freeman, R. (2016). Emerging Network-Based Tools in Movement Ecology. Trends in Ecology and Evolution, 31(4), 301-314. https://doi.org/10.1016/j.tree.2016.01.011

Vancouver

Jacoby D, Freeman R. Emerging Network-Based Tools in Movement Ecology. Trends in Ecology and Evolution. 2016 Apr 1;31(4):301-314. Epub 2016 Feb 12. doi: 10.1016/j.tree.2016.01.011

Author

Jacoby, David ; Freeman, Robin. / Emerging Network-Based Tools in Movement Ecology. In: Trends in Ecology and Evolution. 2016 ; Vol. 31, No. 4. pp. 301-314.

Bibtex

@article{2816f75453be45d98447e87eef4f2b89,
title = "Emerging Network-Based Tools in Movement Ecology",
abstract = "New technologies have vastly increased the available data on animal movement and behaviour. Consequently, new methods deciphering the spatial and temporal interactions between individuals and their environments are vital. Network analyses offer a powerful suite of tools to disentangle the complexity within these dynamic systems, and we review these tools, their application, and how they have generated new ecological and behavioural insights. We suggest that network theory can be used to model and predict the influence of ecological and environmental parameters on animal movement, focusing on spatial and social connectivity, with fundamental implications for conservation. Refining how we construct and randomise spatial networks at different temporal scales will help to establish network theory as a prominent, hypothesis-generating tool in movement ecology.",
author = "David Jacoby and Robin Freeman",
year = "2016",
month = apr,
day = "1",
doi = "10.1016/j.tree.2016.01.011",
language = "English",
volume = "31",
pages = "301--314",
journal = "Trends in Ecology and Evolution",
issn = "0169-5347",
publisher = "ELSEVIER SCIENCE LONDON",
number = "4",

}

RIS

TY - JOUR

T1 - Emerging Network-Based Tools in Movement Ecology

AU - Jacoby, David

AU - Freeman, Robin

PY - 2016/4/1

Y1 - 2016/4/1

N2 - New technologies have vastly increased the available data on animal movement and behaviour. Consequently, new methods deciphering the spatial and temporal interactions between individuals and their environments are vital. Network analyses offer a powerful suite of tools to disentangle the complexity within these dynamic systems, and we review these tools, their application, and how they have generated new ecological and behavioural insights. We suggest that network theory can be used to model and predict the influence of ecological and environmental parameters on animal movement, focusing on spatial and social connectivity, with fundamental implications for conservation. Refining how we construct and randomise spatial networks at different temporal scales will help to establish network theory as a prominent, hypothesis-generating tool in movement ecology.

AB - New technologies have vastly increased the available data on animal movement and behaviour. Consequently, new methods deciphering the spatial and temporal interactions between individuals and their environments are vital. Network analyses offer a powerful suite of tools to disentangle the complexity within these dynamic systems, and we review these tools, their application, and how they have generated new ecological and behavioural insights. We suggest that network theory can be used to model and predict the influence of ecological and environmental parameters on animal movement, focusing on spatial and social connectivity, with fundamental implications for conservation. Refining how we construct and randomise spatial networks at different temporal scales will help to establish network theory as a prominent, hypothesis-generating tool in movement ecology.

U2 - 10.1016/j.tree.2016.01.011

DO - 10.1016/j.tree.2016.01.011

M3 - Journal article

VL - 31

SP - 301

EP - 314

JO - Trends in Ecology and Evolution

JF - Trends in Ecology and Evolution

SN - 0169-5347

IS - 4

ER -