Diet tracing in ecology: Method comparison and selection

Methods in Ecology and Evolution

Volumn 9, Issue 2, 2018, Pages 278-291

  Nielsen, Jens M ^a,c   Clare, Elizabeth L ^a   Hayden, Brian ^b   Brett, Michael T ^c   Kratina, Pavel ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

^c University of Washington   (United States)

Author keywords

biomarkers; compound specific stable isotopes; diet analyses; fatty acids; food webs; molecular diet analyses; stable isotopes; stomach contents; trophic interactions

Indexed keywords

EID: 85041960664     PISSN: None     EISSN: 2041210X     Source Type: Journal    
DOI: 10.1111/2041-210X.12869     Document Type: Review

References (121)

1. Abarenkov, K., Henrik Nilsson, R., Larsson, K. H., Alexander, I. J., Eberhardt, U., Erland, S., … Pennanen, T. (2010). The UNITE database for molecular identification of fungi – Recent updates and future perspectives. New Phytologist, 186, 281–285.
2. Baker, R., Buckland, A., & Sheaves, M. (2014). Fish gut content analysis: Robust measures of diet composition. Fish and Fisheries, 15, 170–177.
3. Bec, A., Perga, M.-E., Koussoroplis, A., Bardoux, G., Desvilettes, C., Bourdier, G., & Mariotti, A. (2011). Assessing the reliability of fatty acid-specific stable isotope analysis for trophic studies. Methods in Ecology and Evolution, 2, 651–659.
4. Benson, D. A., Cavanaugh, M., Clark, K., Karsch-Mizrachi, I., Lipman, D. J., Ostell, J., & Sayers, E. W. (2013). GenBank. Nucleic Acids Research, 41, D36–D42.
5. Boecklen, W. J., Yarnes, C. T., Cook, B. A., & James, A. C. (2011). On the use of stable isotopes in trophic ecology. Annual Review of Ecology, Evolution, and Systematics, 42, 411–440.
6. Bohmann, K., Evans, A., Gilbert, M. T. P., Carvalho, G. R., Creer, S., Knapp, M., … de Bruyn, M. (2014). Environmental DNA for wildlife biology and biodiversity monitoring. Trends in Ecology and Evolution, 29, 358–367.
7. Bowen, W. D., & Iverson, S. J. (2013). Methods of estimating marine mammal diets: A review of validation experiments and sources of bias and uncertainty. Marine Mammal Science, 29, 719–754.
8. Bowser, A. K., Diamond, A. W., & Addison, J. A. (2013). From puffins to plankton: A DNA-based analysis of a seabird food chain in the northern Gulf of Maine. PLoS ONE, 8, e83152.
9. Boyer, S., Wratten, S. D., Holyoake, A., Abdelkrim, J., & Cruickshank, R. H. (2013). Using next-generation sequencing to analyse the diet of a highly endangered land snail (Powelliphanta augusta) feeding on endemic earthworms. PLoS ONE, 8, e75962.
10. Bradley, C. J., Madigan, D. J., Block, B. A., & Popp, B. N. (2014). Amino acid isotope incorporation and enrichment factors in Pacific bluefin Tuna Thunnus orientalis. PLoS ONE, 9, e85818.
11. Braley, M., Goldsworthy, S. D., Page, B., Steer, M., & Austin, J. J. (2010). Assessing morphological and DNA-based diet analysis techniques in a generalist predator, the arrow squid Nototodarus gouldi. Molecular Ecology Resources, 10, 466–474.
12. Brett, M. T. (2014). Resource polygon geometry predicts bayesian stable isotope mixing model bias. Marine Ecology Progress Series, 514, 1–12.
13. Brett, M. T., Bunn, S. E., Chandra, S., Galloway, A. W., Guo, F., Kainz, M. J., … Power, M. E. (2017). How important are terrestrial organic carbon inputs for secondary production in freshwater ecosystems? Freshwater Biology, 62, 833–853.
14. Brett, M. T., Eisenlord, M. E., & Galloway, A. W. E. (2016). Using multiple tracers and directly accounting for trophic modification improves dietary mixing-model performance. Ecosphere, 7, e01440.
15. Brett, M. T., Kainz, M. J., Taipale, S. J., & Seshan, H. (2009). Phytoplankton, not allochthonous carbon, sustains herbivorous zooplankton production. Proceedings of the National Academy of Sciences of the United States of America, 106, 21197–21201.
16. Budge, S. M., AuCoin, L. R., Ziegler, S. E., & Lall, S. P. (2016). Fractionation of stable carbon isotopes of tissue fatty acids in Atlantic pollock (Pollachius virens). Ecosphere, 7, e01437.
17. Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., … Wardle, D. A. (2012). Biodiversity loss and its impact on humanity. Nature, 486, 59–67.
18. Chiaradia, A., Forero, M. G., McInnes, J. C., & Ramírez, F. (2014). Searching for the true diet of marine predators: Incorporating Bayesian priors into stable isotope mixing models. PLoS ONE, 9, e92665.
19. Chikaraishi, Y., Ogawa, N. O., Kashiyama, Y., Takano, Y., Suga, H., Tomitani, A., … Ohkouchi, N. (2009). Determination of aquatic food-web structure based on compound-specific nitrogen isotopic composition of amino acids. Limnology and Oceanography-Methods, 7, 740–750.
20. Clare, E. L. (2014). Molecular detection of trophic interactions: Emerging trends, distinct advantages, significant considerations and conservation applications. Evolutionary Applications, 7, 1144–1157.
21. Clare, E. L., Chain, F. J., Littlefair, J. E., & Cristescu, M. E. (2016). The effects of parameter choice on defining molecular operational taxonomic units and resulting ecological analyses of metabarcoding data 1. Genome, 59, 981–990.
22. Clare, E. L., Symondson, W. O., Broders, H., Fabianek, F., Fraser, E. E., MacKenzie, A., … Martinez-Nuñez, F. (2014). The diet of Myotis lucifugus across Canada: Assessing foraging quality and diet variability. Molecular Ecology, 23, 3618–3632.
23. Dalsgaard, J., St John, M., Kattner, G., Müller-Navarra, D., & Hagen, W. (2003). Fatty acid trophic markers in the pelagic marine environment. Advances in Marine Biology, 46, 225–340.
24. Davidson, D. W., Cook, S. C., & Snelling, R. R. (2004). Liquid-feeding performances of ants (Formicidae): Ecological and evolutionary implications. Oecologia, 139, 255–266.
25. Davis, M., & Pineda Munoz, S. (2016). The temporal scale of diet and dietary proxies. Ecology and Evolution, 6, 1883–1897.
26. Deagle, B. E., Thomas, A. C., Shaffer, A. K., Trites, A. W., & Jarman, S. N. (2013). Quantifying sequence proportions in a DNA-based diet study using Ion Torrent amplicon sequencing: Which counts count? Molecular Ecology Resources, 13, 620–633.
27. Doucett, R. R., Marks, J. C., Blinn, D. W., Caron, M., & Hungate, B. A. (2007). Measuring terrestrial subsidies to aquatic food webs using stable isotopes of hydrogen. Ecology, 88, 1587–1592.
28. Estes, J. A., Terborgh, J., Brashares, J. S., Power, M. E., Berger, J., Bond, W. J., … Jackson, J. B. (2011). Trophic downgrading of planet Earth. Science, 333, 301–306.
29. Evans, D. M., Kitson, J. J., Lunt, D. H., Straw, N. A., & Pocock, M. J. (2016). Merging DNA metabarcoding and ecological network analysis to understand and build resilient terrestrial ecosystems. Functional Ecology, 30, 1904–1916.
30. Floyd, R., Abebe, E., Papert, A., & Blaxter, M. (2002). Molecular barcodes for soil nematode identification. Molecular Ecology, 11, 839–850.
31. Flynn, J. M., Brown, E. A., Chain, F. J., MacIsaac, H. J., & Cristescu, M. E. (2015). Toward accurate molecular identification of species in complex environmental samples: Testing the performance of sequence filtering and clustering methods. Ecology and Evolution, 5, 2252–2266.
32. Fogel, M. L., & Cifuentes, L. A. (1993). Isotope fractionation during primary production. In M. H. Engel, & S. A. Macko (Eds.), Organic geochemistry (pp. 73–98). New York: Springer.
33. Fogel, M. L., Griffin, P. L., & Newsome, S. D. (2016). Hydrogen isotopes in individual amino acids reflect differentiated pools of hydrogen from water and food in bacteria. Proceedings of the National Academy of Sciences USA, 113, E4648–E4653.
34. France, R. (1995). Carbon-13 enrichment in benthic compared to planktonic algae: Foodweb implications. Marine Ecology Progress Series, 124, 307–312.
35. Fujibayashi, M., Ogino, M., & Nishimura, O. (2016). Fractionation of the stable carbon isotope ratio of essential fatty acids in zebrafish Danio rerio and mud snails Bellamya chinensis. Oecologia, 180, 589–600.
36. Galloway, A. W., Brett, M. T., Holtgrieve, G. W., Ward, E. J., Ballantyne, A. P., Burns, C. W., … Ravet, J. L. (2015). A fatty acid based Bayesian approach for inferring diet in aquatic consumers. PLoS ONE, 10, e0129723.
37. Galván, K., Fleeger, J. W., & Fry, B. (2008). Stable isotope addition reveals dietary importance of phytoplankton and microphytobenthos to saltmarsh infauna. Marine Ecology Progress Series, 359, 37–49.
38. García-Robledo, C., Erickson, D. L., Staines, C. L., Erwin, T. L., & Kress, W. J. (2013). Tropical plant-herbivore networks: Reconstructing species interactions using DNA barcodes. PLoS ONE, 8, e52967.
39. Giovanni, M. D., Boal, C. W., & Whitlaw, H. A. (2007). Prey use and provisioning rates of breeding Ferruginous and Swainson's hawks on the southern Great Plains, USA. The Wilson Journal of Ornithology, 119, 558–569.
40. Gladyshev, M. I., Makhutova, O. N., Kravchuk, E. S., Anishchenko, O. V., & Sushchik, N. N. (2016). Stable isotope fractionation of fatty acids of Daphnia fed laboratory cultures of microalgae. Limnologica-Ecology and Management of Inland Waters, 56, 23–29.
41. Gladyshev, M. I., Sushchik, N. N., Kalachova, G. S., & Makhutova, O. N. (2012). Stable isotope composition of fatty acids in organisms of different trophic levels in the Yenisei river. PLoS ONE, 7, e34059.
42. Hambäck, P. A., Weingartner, E., Dalén, L., Wirta, H., & Roslin, T. (2016). Spatial subsidies in spider diets vary with shoreline structure: Complementary evidence from molecular diet analysis and stable isotopes. Ecology and Evolution, 6, 8431–8439.
43. Hampton, S. E., Strasser, C. A., Tewksbury, J. J., Gram, W. K., Budden, A. E., Batcheller, A. L., … Porter, J. H. (2013). Big data and the future of ecology. Frontiers in Ecology and the Environment, 11, 156–162.
44. Happel, A., Stratton, L., Kolb, C., Hays, C., Rinchard, J., & Czesny, S. (2016). Evaluating quantitative fatty acid signature analysis (QFASA) in fish using controlled feeding experiments. Canadian Journal of Fisheries and Aquatic Sciences, 73, 1–8.
45. Hayden, B., Harrod, C., & Kahilainen, K. K. (2014). Dual fuels: Intra-annual variation in the relative importance of benthic and pelagic resources to maintenance, growth and reproduction in a generalist salmonid fish. Journal of Animal Ecology, 83, 1501–1512.
46. Hayden, B., Harrod, C., Sonninen, E., & Kahilainen, K. K. (2015). Seasonal depletion of resources intensifies trophic interactions in subarctic freshwater fish communities. Freshwater Biology, 60, 1000–1015.
47. Hayes, J., Freeman, K. H., Popp, B. N., & Hoham, C. H. (1990). Compound-specific isotopic analyses: A novel tool for reconstruction of ancient biogeochemical processes. Organic Geochemistry, 16, 1115–1128.
48. Huber, J. A., Welch, D. B. M., Morrison, H. G., Huse, S. M., Neal, P. R., Butterfield, D. A., & Sogin, M. L. (2007). Microbial population structures in the deep marine biosphere. Science, 318, 97–100.
49. Hynes, H. B. N. (1950). The food of fresh-water sticklebacks (Gasterosteus aculeatus and Pygosteus pungitius), with a review of methods used in studies of the food of fishes. The Journal of Animal Ecology, 36–58.
50. Hyslop, E. (1980). Stomach contents analysis – A review of methods and their application. Journal of Fish Biology, 17, 411–429.
51. Ishikawa, N. F., Kato, Y., Togashi, H., Yoshimura, M., Yoshimizu, C., Okuda, N., & Tayasu, I. (2014). Stable nitrogen isotopic composition of amino acids reveals food web structure in stream ecosystems. Oecologia, 175, 911–922.
52. Iverson, S. J., Field, C., Don Bowen, W., & Blanchard, W. (2004). Quantitative fatty acid signature analysis: A new method of estimating predator diets. Ecological Monographs, 74, 211–235.
53. Jarman, S. N., Polanowski, A. M., Faux, C. E., Robbins, J., Paoli-Iseppi, D., Bravington, M., & Deagle, B. E. (2015). Molecular biomarkers for chronological age in animal ecology. Molecular Ecology, 24, 4826–4847.
54. Kainz, M., Hager, H., Rasconi, S., Kahilainen, K., Amundsen, P. A., & Hayden, B. (2017). Polyunsaturated fatty acids in fishes increase with total lipids irrespective of feeding sources and trophic position. Ecosphere, 8, e01753.
55. Kartzinel, T. R., Chen, P. A., Coverdale, T. C., Erickson, D. L., Kress, W. J., Kuzmina, M. L., … Pringle, R. M. (2015). DNA metabarcoding illuminates dietary niche partitioning by African large herbivores. Proceedings of the National Academy of Sciences of the United States of America, 112, 8019–8024.
56. King, R. A., Read, D. S., Traugott, M., & Symondson, W. O. (2008). Molecular analysis of predation: a review of best practice for DNA-based approaches. Molecular Ecology, 17, 947–963.
57. Kelly, R. P., Port, J. A., Yamahara, K. M., & Crowder, L. B. (2014). Using environmental DNA to census marine fishes in a large mesocosm. PLoS ONE, 9, e86175.
58. Kleppel, G. S. (1998). Plant and animal pigments as trophodynamic indicators. In D. F. Soule, & G. S. Kleppel (Eds.), Marine organisms as indicators (pp. 73–90). New York: Springer-Verlag.
59. Kohn, A. J., & Riggs, A. C. (1982). Sample size dependence in measures of proportional similarity. Marine Ecology Progress Series. Oldendorf, 9, 147–151.
60. Kratina, P., LeCraw, R. M., Ingram, T., & Anholt, B. R. (2012). Stability and persistence of food webs with omnivory: Is there a general pattern? Ecosphere, 3, 50.
61. Larsen, T., Taylor, D. L., Leigh, M. B., & O'Brien, D. M. (2009). Stable isotope fingerprinting: A novel method for identifying plant, fungal, or bacterial origins of amino acids. Ecology, 90, 3526–3535.
62. Larsen, T., Ventura, M., Andersen, N., O'Brien, D. M., Piatkowski, U., & McCarthy, M. D. (2013). Tracing carbon sources through aquatic and terrestrial food webs using amino acid stable isotope fingerprinting. PLoS ONE, 8, e73441.
63. Layman, C. A., Araujo, M. S., Boucek, R., Hammerschlag-Peyer, C. M., Harrison, E., Jud, Z. R., … Bearhop, S. (2012). Applying stable isotopes to examine food-web structure: An overview of analytical tools. Biological Reviews, 87, 545–562.
64. Letelier, R., Bidigare, R., Hebel, D., Ondrusek, M., Winn, C., & Karl, D. (1993). Temporal variability of phytoplankton community structure based on pigment analysis. Limnology and Oceanography, 38, 1420–1437.
65. Lindahl, B. D., Nilsson, R. H., Tedersoo, L., Abarenkov, K., Carlsen, T., Kjøller, R., … Stenlid, J. (2013). Fungal community analysis by high-throughput sequencing of amplified markers – A user's guide. New Phytologist, 199, 288–299.
66. Liu, S., Wang, X., Xie, L., Tan, M., Li, Z., Su, X., … Tang, M. (2016). Mitochondrial capture enriches mito-DNA 100 fold, enabling PCR-free mitogenomics biodiversity analysis. Molecular Ecology Resources, 16, 470–479.
67. Madigan, D. J., Baumann, Z., Carlisle, A. B., Hoen, D. K., Popp, B. N., Dewar, H., … Fisher, N. S. (2014). Reconstructing transoceanic migration patterns of Pacific bluefin tuna using a chemical tracer toolbox. Ecology, 95, 1674–1683.
68. Martin-Creuzburg, D., Oexle, S., & Wacker, A. (2014). Thresholds for sterol-limited growth of Daphnia magna: A comparative approach using 10 different sterols. Journal of Chemical Ecology, 40, 1039–1050.
69. Martínez del Rio, C., Wolf, N., Carleton, S. A., & Gannes, L. Z. (2009). Isotopic ecology ten years after a call for more laboratory experiments. Biological Reviews of the Cambridge Philosophical Society, 84, 91–111.
70. McCann, K. (2007). Protecting biostructure. Nature, 446, 29–29.
71. 15N patterns in marine algae: Tracer potential for cyanobacterial vs. eukaryotic organic nitrogen sources in the ocean. Geochimica et Cosmochimica Acta, 103, 104–120.
72. McCutchan, J. H., Lewis, W. M., Kendall, C., & McGrath, C. C. (2003). Variation in trophic shift for stable isotope ratios of carbon, nitrogen, and sulfur. Oikos, 102, 378–390.
73. McMahon, K. W., Fogel, M. L., Elsdon, T. S., & Thorrold, S. R. (2010). Carbon isotope fractionation of amino acids in fish muscle reflects biosynthesis and isotopic routing from dietary protein. Journal of Animal Ecology, 79, 1132–1141.
74. 15N fractionation: Mechanisms, implications, and applications for trophic ecology. Ecosphere, 7, e01511.
75. McMahon, K. W., Thorrold, S. R., Houghton, L. A., & Berumen, M. L. (2016). Tracing carbon flow through coral reef food webs using a compound-specific stable isotope approach. Oecologia, 180, 809–821.
76. McMeans, B. C., McCann, K. S., Humphries, M., Rooney, N., & Fisk, A. T. (2015). Food web structure in temporally-forced ecosystems. Trends in Ecology and Evolution, 30, 662–672.
77. Michener, R. H., Kaufman, L., & Lajtha, K. (2007). Stable isotope ratios as tracers in marine food webs: An update. Stable Isotopes in Ecology and Environmental Science, 2, 238–282.
78. Mitra, A., & Flynn, K. J. (2007). Importance of interactions between food quality, quantity, and gut transit time on consumer feeding, growth, and trophic dynamics. The American Naturalist, 169, 632–646.
79. Moore, J. W., & Semmens, B. X. (2008). Incorporating uncertainty and prior information into stable isotope mixing models. Ecology Letters, 11, 470–480.
80. Nielsen, J. M., Clare, E. L., Hayden, B., Brett, M. T., & Kratina, P. (2017). Data from: Diet tracing in ecology: Method comparison and selection. Dryad Digital Repository, https://doi.org/10.5061/dryad.f5f60
81. Nielsen, J. M., Popp, B. N., & Winder, M. (2015). Meta-analysis of amino acid stable nitrogen isotope ratios for estimating trophic position in marine organisms. Oecologia, 178, 631–642.
82. O'Brien, D. M., Boggs, C. L., & Fogel, M. L. (2005). The amino acids used in reproduction by butterflies: A comparative study of dietary sources using compound-specific stable isotope analysis. Physiological and Biochemical Zoology, 78, 819–827.
83. Parnell, A. C., Inger, R., Bearhop, S., & Jackson, A. L. (2010). Source partitioning using stable isotopes: Coping with too much variation. PLoS ONE, 5, e9672.
84. Pauli, J. N., Newsome, S. D., Cook, J. A., Harrod, C., Steffan, S. A., Baker, C. J., … Cerling, T. E. (2017). Opinion: Why we need a centralized repository for isotopic data. Proceedings of the National Academy of Sciences of the United States of America, 114, 2997–3001.
85. Peterson, B. J., & Fry, B. (1987). Stable isotopes in ecosystem studies. Annual Review of Ecology and Systematics, 18, 293–320.
86. Phillips, D. L., Inger, R., Bearhop, S., Jackson, A. L., Moore, J. W., Parnell, A. C., … Ward, E. J. (2014). Best practices for use of stable isotope mixing models in food-web studies. Canadian Journal of Zoology, 92, 823–835.
87. Pineda-Munoz, S., & Alroy, J. (2014). Dietary characterisation of terrestrial mammals. Proceedings of the Royal Society of London B: Biological Sciences, 281, 20141173.
88. Piñol, J., San Andrés, V., Clare, E., Mir, G., & Symondson, W. (2014). A pragmatic approach to the analysis of diets of generalist predators: The use of next-generation sequencing with no blocking probes. Molecular Ecology Resources, 14, 18–26.
89. Poelen, J. H., Simons, J. D., & Mungall, C. J. (2014). Global biotic interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics, 24, 148–159.
90. Pompanon, F., Deagle, B. E., Symondson, W. O., Brown, D. S., Jarman, S. N., & Taberlet, P. (2012). Who is eating what: Diet assessment using next generation sequencing. Molecular Ecology, 21, 1931–1950.
91. Props, R., Kerckhof, F.-M., Rubbens, P., De Vrieze, J., Sanabria, E. H., Waegeman, W., … Boon, N. (2016). Absolute quantification of microbial taxon abundances. The ISME Journal, 11, 584–587.
92. Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glöckner, F. O. (2007). SILVA: A comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Research, 35, 7188–7196.
93. Ratnasingham, S., & Hebert, P. D. (2007). BOLD: The barcode of life data system. Molecular Ecology Notes, 7, 355–364. http://www.barcodinglife.org.
94. Reiner, W. B., Petzinger, C., Power, M. L., Hyeroba, D., & Rothman, J. M. (2014). Fatty acids in mountain gorilla diets: Implications for primate nutrition and health. American Journal of Primatology, 76, 281–288.
95. Rindorf, A., & Lewy, P. (2004). Bias in estimating food consumption of fish by stomach-content analysis. Canadian Journal of Fisheries and Aquatic Sciences, 61, 2487–2498.
96. Roslin, T., & Majaneva, S. (2016). The use of DNA barcodes in food web construction – Terrestrial and aquatic ecologists unite! 1. Genome, 59, 603–628.
97. Schrader, C., Schielke, A., Ellerbroek, L., & Johne, R. (2012). PCR inhibitors – Occurrence, properties and removal. Journal of Applied Microbiology, 113, 1014–1026.
98. Simons, J. D., Yuan, M., Carollo, C., Vega-Cendejas, M., Shirley, T., Palomares, M. L., … Holmes, J. (2013). Building a fisheries trophic interaction database for management and modeling research in the Gulf of Mexico large marine ecosystem. Bulletin of Marine Science, 89, 135–160.
99. Stock, B., & Semmens, B. (2015). MixSIAR user manual, version 3.0.
100. Strandberg, U., Taipale, S., Hiltunen, M., Galloway, A., Brett, M., & Kankaala, P. (2015). Inferring phytoplankton community composition with a fatty acid mixing model. Ecosphere, 6, 1–18.
101. Stuart-Smith, R. D., Bates, A. E., Lefcheck, J. S., Duffy, J. E., Baker, S. C., Thomson, R. J., … Airoldi, L. (2013). Integrating abundance and functional traits reveals new global hotspots of fish diversity. Nature, 501, 539–542.
102. Swanson, H. K., Lysy, M., Power, M., Stasko, A. D., Johnson, J. D., & Reist, J. D. (2015). A new probabilistic method for quantifying n-dimensional ecological niches and niche overlap. Ecology, 96, 318–324.
103. Symondson, W. (2002). Molecular identification of prey in predator diets. Molecular Ecology, 11, 627–641.
104. Taipale, S. J., Hiltunen, M., Vuorio, K., & Peltomaa, E. (2016). Suitability of phytosterols alongside fatty acids as chemotaxonomic biomarkers for phytoplankton. Frontiers in Plant Science, 7, 212. https://doi.org/10.3389/fpls.2016.00212
105. Taipale, S. J., Kainz, M. J., & Brett, M. T. (2011). Diet-switching experiments show rapid accumulation and preferential retention of highly unsaturated fatty acids in Daphnia. Oikos, 120, 1674–1682.
106. Taipale, S. J., Vuorio, K., Brett, M. T., Peltomaa, E., Hiltunen, M., & Kankaala, P. (2016). Lake zooplankton δ13C values are strongly correlated with the δ13C values of distinct phytoplankton taxa. Ecosphere, 7, e01392.
107. Thomas, A. C., Deagle, B. E., Eveson, J. P., Harsch, C. H., & Trites, A. W. (2016). Quantitative DNA metabarcoding: Improved estimates of species proportional biomass using correction factors derived from control material. Molecular Ecology Resources, 3, 714–726.
108. Thomsen, P. F., Kielgast, J., Iversen, L. L., Møller, P. R., Rasmussen, M., & Willerslev, E. (2012). Detection of a diverse marine fish fauna using environmental DNA from seawater samples. PLoS ONE, 7, e41732.
109. Tollit, D., Heaslip, S., Deagle, B., Iverson, S., Joy, R., Rosen, D., & Trites, A. (2006). Estimating diet composition in sea lions: Which technique to choose. In A. W. Trites, S. Atkinson, D. P. DeMaster, L. W. Fritz, T. S. Gelatt, L. D. Rea, & K. Wynne (Eds.), Sea lions of the world (pp. 293–307). Fairbanks, AK: Alaska Sea Grant College Program, University of Alaska.
110. Traugott, M., Kamenova, S., Ruess, L., Seeber, J., & Plantegenest, M. (2013). Empirically characterising trophic networks: What emerging DNA-based methods, stable isotope and fatty acid analyses can offer. Advances in Ecological Research, 49, 177–224.
111. Tunney, T. D., McCann, K. S., Lester, N. P., & Shuter, B. J. (2014). Effects of differential habitat warming on complex communities. Proceedings of the National Academy of Sciences of the United States of America, 111, 8077–8082.
112. Valentini, A., Miquel, C., Nawaz, M. A., Bellemain, E., Coissac, E., Pompanon, F., … Wincker, P. (2009). New perspectives in diet analysis based on DNA barcoding and parallel pyrosequencing: The trnL approach. Molecular Ecology Resources, 9, 51–60.
113. 15N enrichment: A meta-analysis. Oecologia, 136, 169–182.
114. Vander Zanden, H. B., Arthur, K. E., Bolten, A. B., Popp, B. N., Lagueux, C. J., Harrison, E., … Bjorndal, K. A. (2013). Trophic ecology of a green turtle breeding population. Marine Ecology Progress Series, 476, 237–249.
115. Vander Zanden, M. J., Clayton, M. K., Moody, E. K., Solomon, C. T., & Weidel, B. C. (2015). Stable isotope turnover and half-life in animal tissues: A literature synthesis. PLoS ONE, 10, e0116182.
116. Vander Zanden, H. B., Soto, D. X., Bowen, G. J., & Hobson, K. A. (2016). Expanding the isotopic toolbox: Applications of hydrogen and oxygen stable isotope ratios to food web studies. Frontiers in Ecology and Evolution, 4, 1–19. https://doi.org/10.3389/fevo.2016.00020
117. 13C isoscapes of phytoplankton production in a coastal upwelling system with amino acid isotope values of littoral mussels. Marine Ecology Progress Series, 504, 59–72.
118. Wacker, A., Piepho, M., Harwood, J. L., Guschina, I. A., & Arts, M. T. (2016). Light-induced changes in fatty acid profiles of specific lipid classes in several freshwater phytoplankton species. Frontiers in Plant Science, 7, 264. https://doi.org/10.3389/fpls.2016.00264.
119. Wang, S. W., Hollmén, T. E., & Iverson, S. J. (2014). Egg yolk fatty acids as a proxy to quantify diets of female spectacled eiders (Somateria fischeri). Canadian Journal of Zoology, 92, 453–461.
120. Werner, E. E., & Gilliam, J. F. (1984). The ontogenetic niche and species interactions in size-structured populations. Annual Review of Ecology and Systematics, 15, 393–425.
121. Wirta, H. K., Hebert, P. D., Kaartinen, R., Prosser, S. W., Várkonyi, G., & Roslin, T. (2014). Complementary molecular information changes our perception of food web structure. Proceedings of the National Academy of Sciences of the United States of America, 111, 1885–1890.