Journal article
Trophic hierarchies illuminated via amino acid isotopic analysis
PloS one, Vol.8(9), pp.e76152-e76152
2013
Handle:
https://hdl.handle.net/2376/106229
PMCID: PMC3783375
PMID: 24086703
Abstract
Food web ecologists have long sought to characterize the trophic niches of animals using stable isotopic analysis. However, distilling trophic position from isotopic composition has been difficult, largely because of the variability associated with trophic discrimination factors (inter-trophic isotopic fractionation and routing). We circumvented much of this variability using compound-specific isotopic analysis (CSIA). We examined the (15)N signatures of amino acids extracted from organisms reared in pure culture at four discrete trophic levels, across two model communities. We calculated the degree of enrichment at each trophic level and found there was a consistent trophic discrimination factor (~7.6‰). The constancy of the CSIA-derived discrimination factor permitted unprecedented accuracy in the measurement of animal trophic position. Conversely, trophic position estimates generated via bulk-(15)N analysis significantly underestimated trophic position, particularly among higher-order consumers. We then examined the trophic hierarchy of a free-roaming arthropod community, revealing the highest trophic position (5.07) and longest food chain ever reported using CSIA. High accuracy in trophic position estimation brings trophic function into sharper focus, providing greater resolution to the analysis of food webs.
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Details
- Title
- Trophic hierarchies illuminated via amino acid isotopic analysis
- Creators
- Shawn A Steffan - USDA-ARS, Madison, Wisconsin, United States of America ; Department of Entomology, University of Wisconsin, Madison, Wisconsin, United States of AmericaYoshito ChikaraishiDavid R HortonNaohiko OhkouchiMerritt E SingletonEugene MiliczkyDavid B HoggVincent P Jones
- Publication Details
- PloS one, Vol.8(9), pp.e76152-e76152
- Academic Unit
- WSU Wenatchee Tree Fruit REC
- Publisher
- United States
- Identifiers
- 99900546882101842
- Language
- English
- Resource Type
- Journal article