Effects of changes in species composition and distribution on contaminant food web accumulation
pi_name: Katrine BorgÄ
Abstract
Work description As changes in temperature and sea ice distribution and thickness is expected
in the region of interest, the energy transfer processes in the food web are expected to be
changed compared to previous decades. Zooplankton and fish samples will be collected
focusing on the process study cruises. From these, chemicals representing lipid soluble and
protein associated contaminants will be analyzed, in addition to dietary descriptors to trace
energy source (stable isotopes and lipid analyses). This will be repeated in the different seasons
to interpret the annual dynamics of contaminant accumulation and transfer in the food web
related to energy use and availability. So far, seasonal food web data are only available from
Arctic fjords. At the UiO stable isotope lab, we will measure bulk C, H, N, O and S in organic
material, and thus the ratios between lipid/protein/carbohydrate will be analyzed in small
amounts of sample without extraction to assess the proximate biochemical composition. Model
predictions of climate change effect on food web accumulation of contaminants include
reduced accumulation due to predicted reduction in lipid storage. Bioaccumulation changes
due to altered dietary composition is predicted to have less influence than the predicted lower
lipid content. These predictions will be tested in the present task. A similar approach of sampling the central Barents Sea pelagic food web was taken in May 1998 (however, only with
bulk stable isotope analyses of 13C and 15N), which allows a thorough comparison between
the environmental states two decades apart. (From Nansen Legacy implementation plan)
pi_email: Katrine.borga@ibv.uio.no projectID: RCN # 276730 pi_address: Kristine Bonnevieshus, Blindernveien, University of Oslo recordedBy: Julia Giebichenstein, Rita Amundsen pi_institution: University of Oslo
2020-05-06T13:42:38Z: Initial read in of the log files.
2021-08-12T09:34:40Z: Standardising PI email and institutions
statID: 34 storageTemp: neg 20 C recordNumber: 150 intendedMethod: SI maximumDepthInMeters: 150 minimumDepthInMeters: 0