Experimentally derived biochemical modelling parameters to improve understanding of aquaculture's effect on marine food webs.

Autor: McMullin RM; Department of Marine Science, University of Otago, Dunedin, New Zealand. Electronic address: rebecca.mcmullin@cawthron.org.nz., Wing SR; Department of Marine Science, University of Otago, Dunedin, New Zealand., Sabadel AJ; Department of Chemistry, University of Otago, Dunedin, New Zealand., Hageman KJ; Department of Chemistry and Biochemistry, Utah State University, Logan, UT, USA.
Jazyk: angličtina
Zdroj: Marine environmental research [Mar Environ Res] 2022 Jun; Vol. 178, pp. 105645. Date of Electronic Publication: 2022 May 20.
DOI: 10.1016/j.marenvres.2022.105645
Abstrakt: To construct robust biogeochemical models for application to marine-based aquaculture settings, careful selection of appropriate model parameters is necessary. This study used an experimental approach to establish biomarkers of farm and marine-derived organic matter, and to derive isotopic turnover rates, and trophic discrimination factors specific to aquaculture associated food webs. A shift towards a farm-derived resource base resulted in consumer tissues more depleted in the carbon-13 isotope (indicated by more negative δ 13 C values) and a higher proportion of oleic acid, linoleic acid, and alpha-linoleic acid in the fatty acid profile of consumers over time. Measured trophic discrimination factors between dietary sources and consumer tissues demonstrated high variability among species and tissue types, ranging from -0.25‰ to 0.82‰ for Δ 13 C and from -0.77‰ to 6.8‰ for Δ 15 N. Stable isotope half-lives were also diverse among species and tissue types, ranging from <7 days to 462 days. Results demonstrated that construction of robust models for tracing assimilation of farm-derived organic matter through marine food webs requires the use of taxa and tissue specific parameters. Turnover rates have applications for understanding assimilative capacity of communities and for managing populations within the ecological footprint of farms.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: