College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, Heilongjiang Province, China.
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, Jilin Province, China.
Environ Sci Pollut Res Int. 2022 Aug;29(38):58297-58311. doi: 10.1007/s11356-022-19874-9. Epub 2022 Apr 2.
Different from the widely used constant discrimination factor ΔN = 3.4‰ between two adjacent trophic positions (TPs), a scaled ΔN framework for evaluating the TP of species was developed in 2014, that is, the ΔN between two adjacent TPs decreases as the TP increases which is considered to be in closer conformity to the trophic cascade in the natural food web. In this study, we compared the two TP calculation methods and then reconsidered the evaluation of the trophic magnification factors (TMFs). Our results show that the TP value is higher and the TMFs value is lower under the scaled ΔN framework, indicating that the TMFs value under the constant ΔN framework is often overestimated. We further constructed a diet proportion food web model, which shows that species with lower TP has higher contribution rate as food sources. In Xingkai Lake, the enrichment process of mercury in the food web is not strictly consistent with the diet proportion of the food web. Based on the diet proportion food web model and the mercury enrichment model, it can be found that the White shrimp (Exopalaemon modestus) is not only an important food source, but also the main source of mercury transmission in the food web. Overall, our findings have quantified the food web construction and thus facilitated a better understanding of the interaction between the diet proportion and the bio-concentration in the food web.
与广泛使用的相邻营养级之间的常数判别因子 ΔN = 3.4‰不同,2014 年提出了一种用于评估物种营养级的比例 ΔN 框架,即相邻营养级之间的 ΔN 随着营养级的增加而减小,这被认为更符合自然食物网中的营养级联。在本研究中,我们比较了两种 TP 计算方法,然后重新考虑了营养放大因子(TMFs)的评估。结果表明,在比例 ΔN 框架下,TP 值更高,TMFs 值更低,这表明在常数 ΔN 框架下,TMFs 值往往被高估。我们进一步构建了一个饮食比例食物网模型,结果表明,TP 值较低的物种作为食物来源的贡献率更高。在兴凯湖中,汞在食物网中的富集过程并不完全符合食物网的饮食比例。基于饮食比例食物网模型和汞富集模型,可以发现白虾(Exopalaemon modestus)不仅是重要的食物来源,也是食物网中汞传递的主要来源。总的来说,我们的研究结果量化了食物网的结构,从而更好地理解了饮食比例与食物网中生物浓缩之间的相互作用。