Big-data approaches lead to an increased understanding of the ecology of animal movement

Ran Nathan; Christopher T Monk; Robert Arlinghaus; Timo Adam; Josep Alós; Michael Assaf; Henrik Baktoft; Christine E Beardsworth; Michael G Bertram; Allert I Bijleveld; Tomas Brodin; Jill L Brooks; Andrea Campos-Candela; Steven J Cooke; Karl Ø Gjelland; Pratik R Gupte; Roi Harel; Gustav Hellström; Florian Jeltsch; Shaun S Killen; Thomas Klefoth; Roland Langrock; Robert J Lennox; Emmanuel Lourie; Joah R Madden; Yotam Orchan; Ine S Pauwels; Milan Říha; Manuel Roeleke; Ulrike E Schlägel; David Shohami; Johannes Signer; Sivan Toledo; Ohad Vilk; Samuel Westrelin; Mark A Whiteside; Ivan Jarić

doi:10.1126/science.abg1780

Big-data approaches lead to an increased understanding of the ecology of animal movement

Ran Nathan^*
, Christopher T Monk
, Robert Arlinghaus
, Timo Adam
, Josep Alós
, Michael Assaf
, Henrik Baktoft
, Christine E Beardsworth
, Michael G Bertram
, Allert I Bijleveld
, Tomas Brodin
, Jill L Brooks
, Andrea Campos-Candela
, Steven J Cooke
, Karl Ø Gjelland
, Pratik R Gupte
, Roi Harel
, Gustav Hellström
, Florian Jeltsch
, Shaun S Killen

Thomas Klefoth, Roland Langrock, Robert J Lennox, Emmanuel Lourie, Joah R Madden, Yotam Orchan, Ine S Pauwels, Milan Říha, Manuel Roeleke, Ulrike E Schlägel, David Shohami, Johannes Signer, Sivan Toledo, Ohad Vilk, Samuel Westrelin, Mark A Whiteside, Ivan Jarić

^*Corresponding author for this work

Weissing group - Theoretical Biology

Research output: Contribution to journal › Review article › peer-review

393 Citations (Scopus)

1191 Downloads (Pure)

Abstract

Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.

Original language	English
Article number	eabg1780
Number of pages	12
Journal	Science
Volume	375
Issue number	6582
DOIs	https://doi.org/10.1126/science.abg1780
Publication status	Published - 18-Feb-2022

Keywords

Animal Migration
Animals
Animals, Wild/physiology
Behavior, Animal
Big Data
Data Collection
Ecology
Ecosystem
Environment
Movement
Spatio-Temporal Analysis

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10.1126/science.abg1780

Big-data approaches lead to an increased understanding of the ecology of animal movementFinal publisher's version, 2.68 MBLicence: Taverne

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MARM: The evolution of adaptive response mechanisms
Weissing, F. (PI), Kozielska-Reid, M. (Staff), Hildenbrandt, H. (Technician), Janzen, T. (Technician), Bakker, J. (Technician), Elsner, D. (Postdoc), Markovitch, O. (Postdoc), Boon, E. (Postdoc), Méndez Salinas, E. (Researcher), Ramesh, A. (PhD student), Netz, C. (PhD student), Gupte, P. (PhD student), Daras, I. (PhD student), Gismann, J. (PhD student), Long, X. (PhD student), Riederer, J. (PhD student), van Eldijk, T. (PhD student), Zheng, J. (PhD student), Tiso, S. (PhD student) & Rostovtseva, V. (PhD student)
01/12/2018 → 01/12/2023
Project: Research
AL-Xtra: Animal movement strategies
Weissing, F. (PI), Groothuis, T. (PI), Nathan, R. (PI) & Gupte, P. (PhD student)
01/05/2018 → 01/10/2022
Project: Research
AL: Adaptive Life
Etienne, R. (Coordinator), Kas, M. (Coordinator), Olff, H. (Coordinator), Weissing, F. (Coordinator) & Groothuis, T. (Coordinator)
01/01/2016 → 01/01/2026
Project: Research

Cite this

Nathan, R., Monk, C. T., Arlinghaus, R., Adam, T., Alós, J., Assaf, M., Baktoft, H., Beardsworth, C. E., Bertram, M. G., Bijleveld, A. I., Brodin, T., Brooks, J. L., Campos-Candela, A., Cooke, S. J., Gjelland, K. Ø., Gupte, P. R., Harel, R., Hellström, G., Jeltsch, F., ... Jarić, I. (2022). Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 375(6582), Article eabg1780. https://doi.org/10.1126/science.abg1780

@article{e34ca3505b44427694194ee27af44217,

title = "Big-data approaches lead to an increased understanding of the ecology of animal movement",

abstract = "Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal {"}movement ecology{"} (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.",

keywords = "Animal Migration, Animals, Animals, Wild/physiology, Behavior, Animal, Big Data, Data Collection, Ecology, Ecosystem, Environment, Movement, Spatio-Temporal Analysis",

author = "Ran Nathan and Monk, \{Christopher T\} and Robert Arlinghaus and Timo Adam and Josep Al{\'o}s and Michael Assaf and Henrik Baktoft and Beardsworth, \{Christine E\} and Bertram, \{Michael G\} and Bijleveld, \{Allert I\} and Tomas Brodin and Brooks, \{Jill L\} and Andrea Campos-Candela and Cooke, \{Steven J\} and Gjelland, \{Karl {\O}\} and Gupte, \{Pratik R\} and Roi Harel and Gustav Hellstr{\"o}m and Florian Jeltsch and Killen, \{Shaun S\} and Thomas Klefoth and Roland Langrock and Lennox, \{Robert J\} and Emmanuel Lourie and Madden, \{Joah R\} and Yotam Orchan and Pauwels, \{Ine S\} and Milan {\v R}{\'i}ha and Manuel Roeleke and Schl{\"a}gel, \{Ulrike E\} and David Shohami and Johannes Signer and Sivan Toledo and Ohad Vilk and Samuel Westrelin and Whiteside, \{Mark A\} and Ivan Jari{\'c}",

year = "2022",

month = feb,

day = "18",

doi = "10.1126/science.abg1780",

language = "English",

volume = "375",

journal = "Science",

issn = "0036-8075",

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Nathan, R, Monk, CT, Arlinghaus, R, Adam, T, Alós, J, Assaf, M, Baktoft, H, Beardsworth, CE, Bertram, MG, Bijleveld, AI, Brodin, T, Brooks, JL, Campos-Candela, A, Cooke, SJ, Gjelland, KØ, Gupte, PR, Harel, R, Hellström, G, Jeltsch, F, Killen, SS, Klefoth, T, Langrock, R, Lennox, RJ, Lourie, E, Madden, JR, Orchan, Y, Pauwels, IS, Říha, M, Roeleke, M, Schlägel, UE, Shohami, D, Signer, J, Toledo, S, Vilk, O, Westrelin, S, Whiteside, MA & Jarić, I 2022, 'Big-data approaches lead to an increased understanding of the ecology of animal movement', Science, vol. 375, no. 6582, eabg1780. https://doi.org/10.1126/science.abg1780

TY - JOUR

T1 - Big-data approaches lead to an increased understanding of the ecology of animal movement

AU - Nathan, Ran

AU - Monk, Christopher T

AU - Arlinghaus, Robert

AU - Adam, Timo

AU - Alós, Josep

AU - Assaf, Michael

AU - Baktoft, Henrik

AU - Beardsworth, Christine E

AU - Bertram, Michael G

AU - Bijleveld, Allert I

AU - Brodin, Tomas

AU - Brooks, Jill L

AU - Campos-Candela, Andrea

AU - Cooke, Steven J

AU - Gjelland, Karl Ø

AU - Gupte, Pratik R

AU - Harel, Roi

AU - Hellström, Gustav

AU - Jeltsch, Florian

AU - Killen, Shaun S

AU - Klefoth, Thomas

AU - Langrock, Roland

AU - Lennox, Robert J

AU - Lourie, Emmanuel

AU - Madden, Joah R

AU - Orchan, Yotam

AU - Pauwels, Ine S

AU - Říha, Milan

AU - Roeleke, Manuel

AU - Schlägel, Ulrike E

AU - Shohami, David

AU - Signer, Johannes

AU - Toledo, Sivan

AU - Vilk, Ohad

AU - Westrelin, Samuel

AU - Whiteside, Mark A

AU - Jarić, Ivan

PY - 2022/2/18

Y1 - 2022/2/18

N2 - Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.

AB - Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.

KW - Animal Migration

KW - Animals

KW - Animals, Wild/physiology

KW - Behavior, Animal

KW - Big Data

KW - Data Collection

KW - Ecology

KW - Ecosystem

KW - Environment

KW - Movement

KW - Spatio-Temporal Analysis

U2 - 10.1126/science.abg1780

DO - 10.1126/science.abg1780

M3 - Review article

C2 - 35175823

SN - 0036-8075

VL - 375

JO - Science

JF - Science

IS - 6582

M1 - eabg1780

ER -

Big-data approaches lead to an increased understanding of the ecology of animal movement

Abstract

Keywords

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Projects

MARM: The evolution of adaptive response mechanisms

AL-Xtra: Animal movement strategies

AL: Adaptive Life

Cite this