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High‐resolution food webs based on nitrogen isotopic composition of amino acids
High‐resolution food webs based on nitrogen isotopic composition of amino acids
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High‐resolution food webs based on nitrogen isotopic composition of amino acids
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High‐resolution food webs based on nitrogen isotopic composition of amino acids
High‐resolution food webs based on nitrogen isotopic composition of amino acids

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High‐resolution food webs based on nitrogen isotopic composition of amino acids
High‐resolution food webs based on nitrogen isotopic composition of amino acids
Journal Article

High‐resolution food webs based on nitrogen isotopic composition of amino acids

2014
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Overview
Food webs are known to have myriad trophic links between resource and consumer species. While herbivores have well‐understood trophic tendencies, the difficulties associated with characterizing the trophic positions of higher‐order consumers have remained a major problem in food web ecology. To better understand trophic linkages in food webs, analysis of the stable nitrogen isotopic composition of amino acids has been introduced as a potential means of providing accurate trophic position estimates. In the present study, we employ this method to estimate the trophic positions of 200 free‐roaming organisms, representing 39 species in coastal marine (a stony shore) and 38 species in terrestrial (a fruit farm) environments. Based on the trophic positions from the isotopic composition of amino acids, we are able to resolve the trophic structure of these complex food webs. Our approach reveals a high degree of trophic omnivory (i.e., noninteger trophic positions) among carnivorous species such as marine fish and terrestrial hornets.This information not only clarifies the trophic tendencies of species within their respective communities, but also suggests that trophic omnivory may be common in these webs. Stable nitrogen isotope analysis of amino acids has been employed as a relatively new method with the high potential for accurate and precise estimates of the trophic position of organisms. In the present study, we applied this method for multiple species collected from coastal marine (a stony shore) and terrestrial (a fruit farm) environments. Results clearly demonstrate that based on the observed trophic position of multiple species, we are able to present a highly resolved image of the trophic structure of these food webs.