Abstract:Compound-specific isotope analysis of individual amino acids (AA) is a rapidly growing tool in ecological studies to assess diet and trophic position (TP) in both modern and ancient foodwebs. We conducted the first controlled feeding study examining δ 15 N values in AAs in a marine mammal (harbor seal Phoca vitulina). The pattern of δ 15 N variation among AAs in seals was similar to that observed in other heterotrophs, although exceptions were found with proline and threonine. However, many δ 15 N changes with… Show more
“…Underestimated TPs based on CSIA‐AA have also been reported for penguins, two elasmobranchs, and the harbor seal (Lorrain et al ; Dale et al ; Germain et al ; Hoen et al ; McMahon et al ,b). TP estimates from our study support the contention of previous work that a TDF of 7.6‰, based on Chikaraishi et al (), is adequate only for species with TPs < 3.0 (Chikaraishi et al ; Hannides et al ; Dale et al ; Germain et al ; Bradley et al ). We empirically estimated TDF values using the methodology of Bradley et al () and found decreasing TDF values with increasing TPs.…”
Section: Discussionmentioning
confidence: 79%
“…Amino acids were grouped into two categories, trophic amino acids: alanine (Ala), aspartic acid (Asp), glutamic acid (Glu), leucine (Leu), and proline (Pro); and source amino acids: glycine (Gly), lysine (Lys), phenlyalanine (Phe), serine (Ser), and threonine (Thr). Since Thr values are extremely negative relative to other source AAs, we recognize that including Thr as a source AA may not be appropriate and recent studies are classifying Thr as a “metabolic” amino acid (Germain et al ; Bradley et al ).…”
The effective evaluation of trophic interactions in pelagic food webs is essential for understanding food web ecology, conservation biology, and management. We tested the applicability of compound‐specific isotope analysis of amino acids (CSIA‐AA) for (1) characterizing trophic positions (TPs) of nine species from four trophic groups (tunas, squids, myctophids, and euphausiids) within a pelagic food web in the eastern tropical Pacific (ETP) Ocean, (2) evaluating trophic discrimination factors (TDFs) of each trophic group, and (3) detecting spatial changes in TPs and food chain length across a region with heterogeneous productivity. Although δ15N values of bulk tissues generally increased from south‐to‐north, CSIA‐AA revealed that trophic positions were uniform throughout our study area. These results suggest that variability in δ15N values were largely driven by nitrogen cycling dynamics in the ETP, which highlights the importance of these processes for the interpretation of δ15N values in food web studies. Absolute TP estimates were unrealistic for higher‐level species, and TDFs (tunas: 4.0‰, squids: 4.6‰, myctophids: 5.0‰, and euphausiids: 7.0‰) were lower than a widely used ecosystem TDF. We used remotely sensed oceanographic data to evaluate the physical oceanography and biological productivity throughout our study area and found significant relationships between δ15N values, nitrate concentrations, and SST across our study area. We did not find a gradient in phytoplankton cell size co‐occurring with an expected productivity gradient across our sampling region, which substantiated our isotope results indicating non‐significant spatial changes in TP and food chain length across the ETP.
“…Underestimated TPs based on CSIA‐AA have also been reported for penguins, two elasmobranchs, and the harbor seal (Lorrain et al ; Dale et al ; Germain et al ; Hoen et al ; McMahon et al ,b). TP estimates from our study support the contention of previous work that a TDF of 7.6‰, based on Chikaraishi et al (), is adequate only for species with TPs < 3.0 (Chikaraishi et al ; Hannides et al ; Dale et al ; Germain et al ; Bradley et al ). We empirically estimated TDF values using the methodology of Bradley et al () and found decreasing TDF values with increasing TPs.…”
Section: Discussionmentioning
confidence: 79%
“…Amino acids were grouped into two categories, trophic amino acids: alanine (Ala), aspartic acid (Asp), glutamic acid (Glu), leucine (Leu), and proline (Pro); and source amino acids: glycine (Gly), lysine (Lys), phenlyalanine (Phe), serine (Ser), and threonine (Thr). Since Thr values are extremely negative relative to other source AAs, we recognize that including Thr as a source AA may not be appropriate and recent studies are classifying Thr as a “metabolic” amino acid (Germain et al ; Bradley et al ).…”
The effective evaluation of trophic interactions in pelagic food webs is essential for understanding food web ecology, conservation biology, and management. We tested the applicability of compound‐specific isotope analysis of amino acids (CSIA‐AA) for (1) characterizing trophic positions (TPs) of nine species from four trophic groups (tunas, squids, myctophids, and euphausiids) within a pelagic food web in the eastern tropical Pacific (ETP) Ocean, (2) evaluating trophic discrimination factors (TDFs) of each trophic group, and (3) detecting spatial changes in TPs and food chain length across a region with heterogeneous productivity. Although δ15N values of bulk tissues generally increased from south‐to‐north, CSIA‐AA revealed that trophic positions were uniform throughout our study area. These results suggest that variability in δ15N values were largely driven by nitrogen cycling dynamics in the ETP, which highlights the importance of these processes for the interpretation of δ15N values in food web studies. Absolute TP estimates were unrealistic for higher‐level species, and TDFs (tunas: 4.0‰, squids: 4.6‰, myctophids: 5.0‰, and euphausiids: 7.0‰) were lower than a widely used ecosystem TDF. We used remotely sensed oceanographic data to evaluate the physical oceanography and biological productivity throughout our study area and found significant relationships between δ15N values, nitrate concentrations, and SST across our study area. We did not find a gradient in phytoplankton cell size co‐occurring with an expected productivity gradient across our sampling region, which substantiated our isotope results indicating non‐significant spatial changes in TP and food chain length across the ETP.
“…This calculation was derived largely from experimental studies on invertebrates and fish, and recent studies have suggested that a TEF Glu-Phe of 7.6‰ results in lower than anticipated trophic position estimates of higher marine consumers (Lorrain et al, 2009;Dale et al, 2011), including marine mammals (Germain et al, 2013). Given equation (1) Best-fit generalized linear mixed effects models indicated GLG (age) was a significant predictor of d 15 N values (P , 0.005), but not d 13 C cor values (P .…”
Section: Aa-specific D 15 N--baseline D 15 N and Trophic Position Indmentioning
Killer whales in the Eastern Canadian Arctic (ECA) prey on narwhal, beluga, bowhead whales and seals, while further south in the north-west Atlantic (NWA), killer whales off the coast of Newfoundland and Labrador prey on both marine mammals and fish. Bulk and amino acid (AA) specific isotopic composition of dentinal collagen in teeth of 13 ECA/NWA killer whales were analysed to assess the degree, if any, of dietary specialization of killer whales across the region. Dentine was sampled from within annual growth layer groups (GLGs) to construct chronological profiles of stable nitrogen (d 15 N) and carbon (d 13 C) isotopic compositions for individual whales spanning 3-25 years. Interannual isotopic variation across GLGs was less than that among individuals, and median bulk d 15 N values differed by up to 5‰ among individuals. Significant correlation between bulk d 15 N values and baseline (source AA) d 15 N values indicates much of the observed isotopic variation among individuals reflects foraging within isotopically distinct food webs, rather than diet differences. This interpretation is supported by consistent differences in bulk d 13 C values between the two individuals with lowest source AA d 15 N values and the remaining whales. After accounting for baseline isotopic variation, comparable d 15 N values among individuals indicates similar trophic-level diet, although uncertainties in relative trophic 15 N enrichment of individual AAs currently limits trophic position estimates for top consumers. Further research is required to clarify seasonal movement patterns and possible diet shifts of ECA/NWA killer whales to better define their role in marine ecosystems across the region.
“…This allowed them to estimate trophic levels for zooplankton and other consumers, and to derive the δ 15 N of basal resources. However, the trophic enrichment between glutamic acid and phenylalanine appears to be different for herbivory (plant-animal; 7.6 ‰) and carnivory (animalanimal; 4.3‰), complicating inferences based on compoundspecific δ 15 N analysis (Germain et al, 2013). Basal resources δ 15 N values are notoriously difficult to obtain because of high temporal variability due to intense recycling and assimilation of dissolved inorganic nitrogen by heterotrophic bacteria (Kirchman, 1994;Veuger et al, 2005).…”
Section: Compound Specific Isotope Analysis Allows Including Microbiamentioning
Abstract. Stable isotopes have been used extensively to study food-web functioning, that is, the flow of energy and matter among organisms. Traditional food-web studies are based on the natural variability of isotopes and are limited to larger organisms that can be physically separated from their environment. Recent developments allow isotope ratio measurements of microbes and this in turn allows the measurement of entire food webs, in other words, from small producers at the bottom to large consumers at the top. Here, I provide a concise review on the use and potential of stable isotopes to reconstruct end-to-end food webs. I will first discuss food web reconstruction based on natural abundances isotope data and will then show that the use of stable isotopes as deliberately added tracers provides complementary information. Finally, challenges and opportunities for end-to-end food web reconstructions in a changing world are discussed.
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