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Bird migration and avian influenza: A comparison of hydrogen stable isotopes and satellite tracking methods

Overview of attention for article published in Ecological Indicators, October 2014
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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 (70th percentile)

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7 X users
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1 Facebook page

Citations

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21 Dimensions

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106 Mendeley
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Title
Bird migration and avian influenza: A comparison of hydrogen stable isotopes and satellite tracking methods
Published in
Ecological Indicators, October 2014
DOI 10.1016/j.ecolind.2014.04.027
Pubmed ID
Authors

Eli S. Bridge, Jeffrey F. Kelly, Xiangming Xiao, John Y. Takekawa, Nichola J. Hill, Mat Yamage, Enam Ul Haque, Mohammad Anwarul Islam, Taej Mundkur, Kiraz Erciyas Yavuz, Paul Leader, Connie Y.H. Leung, Bena Smith, Kyle A. Spragens, Kurt J. Vandegrift, Parviez R. Hosseini, Samia Saif, Samiul Mohsanin, Andrea Mikolon, Ausrafal Islam, Acty George, Balachandran Sivananinthaperumal, Peter Daszak, Scott H. Newman

Abstract

Satellite-based tracking of migratory waterfowl is an important tool for understanding the potential role of wild birds in the long-distance transmission of highly pathogenic avian influenza. However, employing this technique on a continental scale is prohibitively expensive. This study explores the utility of stable isotope ratios in feathers in examining both the distances traveled by migratory birds and variation in migration behavior. We compared the satellite-derived movement data of 22 ducks from 8 species captured at wintering areas in Bangladesh, Turkey, and Hong Kong with deuterium ratios (δD) of these and other individuals captured at the same locations. We derived likely molting locations from the satellite tracking data and generated expected isotope ratios based on an interpolated map of δD in rainwater. Although δD was correlated with the distance between wintering and molting locations, surprisingly, measured δD values were not correlated with either expected values or latitudes of molting sites. However, population-level parameters derived from the satellite-tracking data, such as mean distance between wintering and molting locations and variation in migration distance, were reflected by means and variation of the stable isotope values. Our findings call into question the relevance of the rainfall isotope map for Asia for linking feather isotopes to molting locations, and underscore the need for extensive ground truthing in the form of feather-based isoscapes. Nevertheless, stable isotopes from feathers could inform disease models by characterizing the degree to which regional breeding populations interact at common wintering locations. Feather isotopes also could aid in surveying wintering locations to determine where high-resolution tracking techniques (e.g. satellite tracking) could most effectively be employed. Moreover, intrinsic markers such as stable isotopes offer the only means of inferring movement information from birds that have died as a result of infection. In the absence of feather based-isoscapes, we recommend a combination of isotope analysis and satellite-tracking as the best means of generating aggregate movement data for informing disease models.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Chile 1 <1%
Mexico 1 <1%
Unknown 102 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 18%
Researcher 18 17%
Student > Ph. D. Student 16 15%
Student > Bachelor 9 8%
Other 8 8%
Other 17 16%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 39%
Environmental Science 15 14%
Veterinary Science and Veterinary Medicine 4 4%
Nursing and Health Professions 4 4%
Social Sciences 3 3%
Other 17 16%
Unknown 22 21%
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 29 July 2014.
All research outputs
#6,962,864
of 25,371,288 outputs
Outputs from Ecological Indicators
#1,140
of 3,567 outputs
Outputs of similar age
#69,105
of 265,635 outputs
Outputs of similar age from Ecological Indicators
#20
of 68 outputs
Altmetric has tracked 25,371,288 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 3,567 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 67% 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 265,635 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 68 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 70% of its contemporaries.