Nielsen Jens M, Popp Brian N, Winder Monika
Department of Ecology, Environment and Plant Sciences, Stockholm University, 10691, Stockholm, Sweden,
Oecologia. 2015 Jul;178(3):631-42. doi: 10.1007/s00442-015-3305-7. Epub 2015 Apr 7.
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.
估计营养结构是一种常用方法,用于获取复杂生态系统中能量途径、捕食和竞争等方面的信息。氨基酸(AA)化合物特异性氮(N)同位素分析(CSIA)的应用是一种相对较新的方法,用于估计不同生物的营养级位置(TP)和摄食关系。在此,我们对涵盖四个营养级的359种海洋物种测量得到的δ(15)N AA值进行了首次荟萃分析,并将AA-CSIA估计的TP值与通过食物项目、肠道或胃内容物分析得出的文献值进行了比较。我们测试了AA营养富集因子(TEF),即不同单个AA之间的(15)N富集在各营养级是否恒定,以及纳入多个AA的δ(15)N值是否能提高TP估计的准确性。对于谷氨酸相对于苯丙氨酸(Phe)的TEF,我们发现所有分类群的平均值为6.6‰,显著低于常用的7.6‰。我们发现生物的摄食生态影响了几种营养性AA相对于Phe的TEF值,食草动物的TEF值显著高于杂食动物和食肉动物,而与排泄铵的动物相比,排泄尿素的动物的TEF值也显著更低。基于使用δ(15)N AA值元数据对多种模型结构的比较,我们表明原则上增加AA的数量可提高TP估计的精度。这项荟萃分析阐明了使用单个δ(15)N AA值作为营养生态学工具的优点和局限性,并为AA-CSIA未来在食物网研究中的应用提供了指导。