The Ecology of Human Mobility

Mark G. Meekan; Carlos M. Duarte; Juan Fernández-Gracia; Michele Thums; Ana M. M. Sequeira; Rob Harcourt; Víctor M. Eguíluz

doi:10.1016/j.tree.2016.12.006

The Ecology of Human Mobility

Mark G. Meekan, Carlos M. Duarte, Juan Fernández-Gracia, Michele Thums, Ana M. M. Sequeira, Rob Harcourt, Víctor M. Eguíluz

Research output: Contribution to journal › Article › peer-review

45 Scopus citations

Abstract

Mobile phones and other geolocated devices have produced unprecedented volumes of data on human movement. Analysis of pooled individual human trajectories using big data approaches has revealed a wealth of emergent features that have ecological parallels in animals across a diverse array of phenomena including commuting, epidemics, the spread of innovations and culture, and collective behaviour. Movement ecology, which explores how animals cope with and optimize variability in resources, has the potential to provide a theoretical framework to aid an understanding of human mobility and its impacts on ecosystems. In turn, big data on human movement can be explored in the context of animal movement ecology to provide solutions for urgent conservation problems and management challenges.

Original language	English (US)
Pages (from-to)	198-210
Number of pages	13
Journal	Trends in Ecology & Evolution
Volume	32
Issue number	3
DOIs	https://doi.org/10.1016/j.tree.2016.12.006
State	Published - Feb 3 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): 63150414
Acknowledgements: The research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST) through the baseline fund and the Award No. 63150414 from the Office of Sponsored Research (OSR) and the Australian Institute of Marine Science. A.M.M.S. was supported by an IOMRC (AIMS, CSIRO, and UWA) Collaborative Post-doctoral Fellowship, J.F.-G. by NIH grant U54GM088558-06 (Lipsitch) and V.M.E. by Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) through project SPASIMM (FIS2016-80067-P (AEI/FEDER, UE)). We thank Ivan D. Gromicho for the artwork in Figure 1.

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title = "The Ecology of Human Mobility",

abstract = "Mobile phones and other geolocated devices have produced unprecedented volumes of data on human movement. Analysis of pooled individual human trajectories using big data approaches has revealed a wealth of emergent features that have ecological parallels in animals across a diverse array of phenomena including commuting, epidemics, the spread of innovations and culture, and collective behaviour. Movement ecology, which explores how animals cope with and optimize variability in resources, has the potential to provide a theoretical framework to aid an understanding of human mobility and its impacts on ecosystems. In turn, big data on human movement can be explored in the context of animal movement ecology to provide solutions for urgent conservation problems and management challenges.",

author = "Meekan, {Mark G.} and Duarte, {Carlos M.} and Juan Fern{\'a}ndez-Gracia and Michele Thums and Sequeira, {Ana M. M.} and Rob Harcourt and Egu{\'i}luz, {V{\'i}ctor M.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): 63150414 Acknowledgements: The research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST) through the baseline fund and the Award No. 63150414 from the Office of Sponsored Research (OSR) and the Australian Institute of Marine Science. A.M.M.S. was supported by an IOMRC (AIMS, CSIRO, and UWA) Collaborative Post-doctoral Fellowship, J.F.-G. by NIH grant U54GM088558-06 (Lipsitch) and V.M.E. by Agencia Estatal de Investigaci{\'o}n (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) through project SPASIMM (FIS2016-80067-P (AEI/FEDER, UE)). We thank Ivan D. Gromicho for the artwork in Figure 1.",

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AU - Harcourt, Rob

AU - Eguíluz, Víctor M.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): 63150414 Acknowledgements: The research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST) through the baseline fund and the Award No. 63150414 from the Office of Sponsored Research (OSR) and the Australian Institute of Marine Science. A.M.M.S. was supported by an IOMRC (AIMS, CSIRO, and UWA) Collaborative Post-doctoral Fellowship, J.F.-G. by NIH grant U54GM088558-06 (Lipsitch) and V.M.E. by Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) through project SPASIMM (FIS2016-80067-P (AEI/FEDER, UE)). We thank Ivan D. Gromicho for the artwork in Figure 1.

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The Ecology of Human Mobility

Abstract

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