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Enhancing the Use of Argos Satellite Data for Home Range and Long Distance Migration Studies of Marine Animals

Overview of attention for article published in PLOS ONE, July 2012
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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1 policy source
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3 X users

Citations

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64 Dimensions

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190 Mendeley
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Title
Enhancing the Use of Argos Satellite Data for Home Range and Long Distance Migration Studies of Marine Animals
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040713
Pubmed ID
Authors

Xavier Hoenner, Scott D. Whiting, Mark A. Hindell, Clive R. McMahon

Abstract

Accurately quantifying animals' spatial utilisation is critical for conservation, but has long remained an elusive goal due to technological impediments. The Argos telemetry system has been extensively used to remotely track marine animals, however location estimates are characterised by substantial spatial error. State-space models (SSM) constitute a robust statistical approach to refine Argos tracking data by accounting for observation errors and stochasticity in animal movement. Despite their wide use in ecology, few studies have thoroughly quantified the error associated with SSM predicted locations and no research has assessed their validity for describing animal movement behaviour. We compared home ranges and migratory pathways of seven hawksbill sea turtles (Eretmochelys imbricata) estimated from (a) highly accurate Fastloc GPS data and (b) locations computed using common Argos data analytical approaches. Argos 68(th) percentile error was <1 km for LC 1, 2, and 3 while markedly less accurate (>4 km) for LC ≤ 0. Argos error structure was highly longitudinally skewed and was, for all LC, adequately modelled by a Student's t distribution. Both habitat use and migration routes were best recreated using SSM locations post-processed by re-adding good Argos positions (LC 1, 2 and 3) and filtering terrestrial points (mean distance to migratory tracks ± SD = 2.2 ± 2.4 km; mean home range overlap and error ratio = 92.2% and 285.6 respectively). This parsimonious and objective statistical procedure however still markedly overestimated true home range sizes, especially for animals exhibiting restricted movements. Post-processing SSM locations nonetheless constitutes the best analytical technique for remotely sensed Argos tracking data and we therefore recommend using this approach to rework historical Argos datasets for better estimation of animal spatial utilisation for research and evidence-based conservation purposes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Chile 1 <1%
Italy 1 <1%
Brazil 1 <1%
Colombia 1 <1%
Iceland 1 <1%
Canada 1 <1%
Denmark 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 178 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 23%
Student > Master 34 18%
Student > Ph. D. Student 33 17%
Student > Bachelor 13 7%
Other 10 5%
Other 26 14%
Unknown 31 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 59%
Environmental Science 29 15%
Earth and Planetary Sciences 5 3%
Mathematics 2 1%
Medicine and Dentistry 2 1%
Other 8 4%
Unknown 32 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2013.
All research outputs
#6,109,954
of 22,671,366 outputs
Outputs from PLOS ONE
#72,827
of 193,517 outputs
Outputs of similar age
#42,716
of 164,330 outputs
Outputs of similar age from PLOS ONE
#1,204
of 3,945 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 193,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 164,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 3,945 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.