Improving the qualities of the trophic magnification factors (TMFs): A case study based on scaled Δ15N trophic position framework and separate baseline species

Qiang Wang; Xingchun Li; Xuehong Zhou

doi:10.1016/j.scitotenv.2022.160095

Improving the qualities of the trophic magnification factors (TMFs): A case study based on scaled Δ¹⁵N trophic position framework and separate baseline species

Sci Total Environ. 2023 Feb 10;859(Pt 1):160095. doi: 10.1016/j.scitotenv.2022.160095. Epub 2022 Nov 11.

Authors

Qiang Wang¹, Xingchun Li², Xuehong Zhou³

Affiliations

¹ Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin Province 130102, China.
² College of Wildlife and Protected Area, Northeast Forestry University, Harbin, Heilongjiang Province 150040, China.
³ College of Wildlife and Protected Area, Northeast Forestry University, Harbin, Heilongjiang Province 150040, China. Electronic address: xuehong_zhou2012@nefu.edu.cn.

PMID: 36372174
DOI: 10.1016/j.scitotenv.2022.160095

Abstract

Scientific understanding of trophic magnification factors (TMFs) is conducive to formulating environmental management measures. Trophic position (TP) of species is the key parameter in TMFs assessment. Nitrogen stable isotopes (δ¹⁵N) provide a powerful tool to estimate TP. However, some limitations could introduce considerable uncertainty into TP and TMFs assessment which mainly includes: 1) determination of Δ¹⁵N between two adjacent trophic positions; 2) determination of baseline species. Different from the widely used constant Δ¹⁵N (3.4 ‰) between two adjacent trophic positions, which is called additive Δ¹⁵N framework, Δ¹⁵N gradually decreases as trophic position increases under scaled Δ¹⁵N framework, which has been confirmed by more and more laboratory studies and meta-analyses. In this study, we sampled in two similar littoral ecosystems separated by one natural dam, which is called Small Xingkai Lake and Xingkai Lake, analyzed the δ¹⁵N and total mercury (THg) of each species. On the one hand, we compared the TP of species under the additive Δ¹⁵N framework and scaled Δ¹⁵N framework with the White shrimp (Exopalaemon modestus) as baseline species in two lakes respectively. On the other hand, we explored the possible changes in TMFs based on TP. Our results show, under the scaled Δ¹⁵N framework, the trophic position of the same species is higher, while TMFs is lower compared with the additive Δ¹⁵N framework; even if in the two interconnected lakes, distributed the same baseline species, in the similar ecosystem, separate baselines should also be used. In this study, two frameworks of the food chain were compared in two interconnected freshwater ecosystems for the first time. The difference between TMFs of two lakes was obvious under scaled framework but not under additive framework. We also recommend that future TMFs assessments should be based on the scaled Δ¹⁵N framework because it has improved the accuracy of trophic position assessment.

Keywords: Bioaccumulation; Biomagnification; Food web; Khanka lake; THg; Wetlands.

MeSH terms

Animals
Ecosystem
Environmental Monitoring / methods
Fishes
Food Chain
Lakes
Mercury* / analysis
Nitrogen Isotopes / analysis
Water Pollutants, Chemical* / analysis

Substances

Mercury
Nitrogen Isotopes
Water Pollutants, Chemical