Big-data approaches lead to an increased understanding of the ecology of animal movement-Reference-Cited by-同舟云学术

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

Published:2022-02-18 Issue:6582 Volume:375 Page:
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Nathan Ran¹²^ORCID,Monk Christopher T.³⁴⁵^ORCID,Arlinghaus Robert⁵⁶^ORCID,Adam Timo⁷^ORCID,Alós Josep⁸^ORCID,Assaf Michael⁹^ORCID,Baktoft Henrik¹⁰^ORCID,Beardsworth Christine E.¹¹¹²^ORCID,Bertram Michael G.¹³^ORCID,Bijleveld Allert I.¹¹^ORCID,Brodin Tomas¹³^ORCID,Brooks Jill L.¹⁴^ORCID,Campos-Candela Andrea⁵⁸^ORCID,Cooke Steven J.¹⁴^ORCID,Gjelland Karl Ø.¹⁵^ORCID,Gupte Pratik R.¹¹¹⁶^ORCID,Harel Roi¹²^ORCID,Hellström Gustav¹³^ORCID,Jeltsch Florian¹⁷¹⁸^ORCID,Killen Shaun S.¹⁹^ORCID,Klefoth Thomas²⁰,Langrock Roland²¹^ORCID,Lennox Robert J.²²,Lourie Emmanuel¹²^ORCID,Madden Joah R.¹²^ORCID,Orchan Yotam¹²,Pauwels Ine S.²³^ORCID,Říha Milan²⁴^ORCID,Roeleke Manuel¹⁷^ORCID,Schlägel Ulrike E.¹⁷^ORCID,Shohami David¹²^ORCID,Signer Johannes²⁵,Toledo Sivan²²⁶^ORCID,Vilk Ohad¹²⁹^ORCID,Westrelin Samuel²⁷^ORCID,Whiteside Mark A.¹²²⁸^ORCID,Jarić Ivan²⁴²⁹^ORCID

Affiliation:

1. Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.

2. Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel.

3. Institute of Marine Research, His, Norway.

4. Centre for Coastal Research (CCR), Department of Natural Sciences, University of Agder, Kristiansand, Norway.

5. Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.

6. Division of Integrative Fisheries Management, Faculty of Life Sciences and Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany.

7. Centre for Research into Ecological and Environmental Modelling, School of Mathematics and Statistics, University of St Andrews, St Andrews, UK.

8. Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC–UIB), Esporles, Spain.

9. Racah Institute of Physics, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.

10. National Institute of Aquatic Resources, Section for Freshwater Fisheries and Ecology, Technical University of Denmark, Silkeborg, Denmark.

11. NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, Den Burg, The Netherlands.

12. Centre for Research in Animal Behaviour, Psychology, University of Exeter, Exeter, UK.

13. Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden.

14. Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, ON, Canada.

15. Norwegian Institute for Nature Research, Tromsø, Norway.

16. Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.

17. Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.

18. Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.

19. Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow UK.

20. Ecology and Conservation, Faculty of Nature and Engineering, Hochschule Bremen, City University of Applied Sciences, Bremen, Germany.

21. Department of Business Administration and Economics, Bielefeld University, Bielefeld, Germany.

22. NORCE Norwegian Research Centre, Laboratory for Freshwater Ecology and Inland Fisheries, Bergen, Norway.

23. Research Institute for Nature and Forest (INBO), Brussels, Belgium.

24. Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.

25. Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Göttingen, Germany.

26. Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel.

27. INRAE, Aix Marseille Univ, Pôle R&D ECLA, RECOVER, Aix-en-Provence, France.

28. School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth, UK.

29. University of South Bohemia, Faculty of Science, Department of Ecosystem Biology, České Budějovice, Czech Republic.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference120 articles.

1. A movement ecology paradigm for unifying organismal movement research

2. Navigating through the r packages for movement

3. Optimizing the use of biologgers for movement ecology research

4. Aquatic animal telemetry: A panoramic window into the underwater world

5. R. Kays M. C. Crofoot W. Jetz M. Wikelski Terrestrial animal tracking as an eye on life and planet. Science 348 aaa2478 (2015). 10.1126/science.aaa247826068858

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