Cited by 1,638Wildlife Ecology and ConservationAnimal Ecology and Behavior StudiesHuman Mobility and Location-Based Analysis

Terrestrial animal tracking as an eye on life and planet

Kays, Roland, Crofoot, Margaret C., Jetz, Walter, Wikelski, Martin·2015·Science

Abstract

A brave new world with a wider view: Researchers have long attempted to follow animals as they move through their environment. Until relatively recently, however, such efforts were limited to short distances and times in species large enough to carry large batteries and transmitters. New technologies have opened up new frontiers in animal tracking remote data collection. Hussey et al. review the unique directions such efforts have taken for marine systems, while Kays et al. review recent advances for terrestrial species. We have entered a new era of animal ecology, where animals act as both subjects and samplers of their environments. Science , this issue 10.1126/science.1255642 , 10.1126/science.aaa2478

Integrity signals

Registry

Crossref · 10.1126/science.aaa2478

Cites

107 of 107 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • On-animal sensors are the most common remote sensing devices deployed in animal ecology.

    “On-animal sensors are the most common remote sensing devices deployed in animal ecology10.”

    From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [10]

  • As an alternative to gene-based identification, manual tagging can be used to keep track of individual animals.

    “As an alternative to gene-based identification, manual tagging can be used to keep track of individual animals10,93.”

    From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [10]

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Authors
Kays, R., Crofoot, M. C., Jetz, W., & Wikelski, M.
Affiliations
  • Smithsonian Tropical Research Institute (PA)
  • Yale University (US)
Corresponding author
Kays, Roland
Venue
Science
Published
2015-06-12
Volume
348
Issue
6240
Pages
aaa2478-aaa2478
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2140452356
Cited by
1,638
References
107
Citations by year
2026: 142 · 2025: 171 · 2024: 172 · 2023: 158 · 2022: 164 · 2021: 206 · 2020: 147 · 2019: 150 · 2018: 118 · 2017: 111 · 2016: 92 · 2015: 7
FWCI
9.96
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Digital Library (submittedVersion)
  • KOPS (University of Konstanz) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • Smithsonian Digital Repository (Smithsonian Institution) (submittedVersion)
Funders
  • NSF (EF 1232442, DBI 0756920, DBI 0960550, DBI-1262600, BCS 1440755, DEB 1026764, DEB-1441737, IOS 1250895)
  • NASA Biodiversity (NNX11AP72G)
Topics
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
Keywords
animal movement, animal tracking, animal ecology, animal physiology, species interactions, ecological monitoring, environmental change, big data, pollination, seed dispersal, nutrient cycling, parasites
MeSH terms
Animals, Behavior, Animal, Environmental Monitoring, Movement, Animal Migration, Geographic Information Systems, Spatio-Temporal Analysis

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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