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Meta-analysis of amino acid stable nitrogen isotope ratios for estimating trophic position in marine organisms

Overview of attention for article published in Oecologia, April 2015
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Meta-analysis of amino acid stable nitrogen isotope ratios for estimating trophic position in marine organisms
Published in
Oecologia, April 2015
DOI 10.1007/s00442-015-3305-7
Pubmed ID
Authors

Jens M. Nielsen, Brian N. Popp, Monika Winder

Abstract

Estimating trophic structures is a common approach used to retrieve information regarding energy pathways, predation, and competition in complex ecosystems. The application of amino acid (AA) compound-specific nitrogen (N) isotope analysis (CSIA) is a relatively new method used to estimate trophic position (TP) and feeding relationships in diverse organisms. Here, we conducted the first meta-analysis of δ(15)N AA values from measurements of 359 marine species covering four trophic levels, and compared TP estimates from AA-CSIA to literature values derived from food items, gut or stomach content analysis. We tested whether the AA trophic enrichment factor (TEF), or the (15)N enrichment among different individual AAs is constant across trophic levels and whether inclusion of δ(15)N values from multiple AAs improves TP estimation. For the TEF of glutamic acid relative to phenylalanine (Phe) we found an average value of 6.6 ‰ across all taxa, which is significantly lower than the commonly applied 7.6 ‰. We found that organism feeding ecology influences TEF values of several trophic AAs relative to Phe, with significantly higher TEF values for herbivores compared to omnivores and carnivores, while TEF values were also significantly lower for animals excreting urea compared to ammonium. Based on the comparison of multiple model structures using the metadata of δ(15)N AA values we show that increasing the number of AAs in principle improves precision in TP estimation. This meta-analysis clarifies the advantages and limitations of using individual δ(15)N AA values as tools in trophic ecology and provides a guideline for the future application of AA-CSIA to food web studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Portugal 1 <1%
Australia 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Argentina 1 <1%
Unknown 248 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 30%
Researcher 46 18%
Student > Master 40 16%
Student > Bachelor 21 8%
Professor > Associate Professor 11 4%
Other 26 10%
Unknown 36 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 42%
Environmental Science 54 21%
Earth and Planetary Sciences 19 7%
Biochemistry, Genetics and Molecular Biology 8 3%
Chemistry 6 2%
Other 13 5%
Unknown 48 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 May 2015.
All research outputs
#7,893,552
of 25,388,177 outputs
Outputs from Oecologia
#1,608
of 4,474 outputs
Outputs of similar age
#88,312
of 279,773 outputs
Outputs of similar age from Oecologia
#21
of 61 outputs
Altmetric has tracked 25,388,177 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 63% 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 279,773 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 68% of its contemporaries.
We're also able to compare this research output to 61 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 67% of its contemporaries.