Abstract

Fish biomass estimates in European coastal waters are necessary for several reasons, e.g., for meeting requirements in legislation and international agreements, for establishing sustainable outtakes of the resources, for developing management plans and for assessing the ecological and environmental status of coastal waters. This study estimated piscivorous and non-piscivorous fish biomass as well as total fish biomass in Kvadofjarden Bay on the Swedish Baltic Sea coast using dynamic foodweb modelling. Weight-per-unit-effort data from the coastal fish monitoring program in the area together with a range of abiotic variables (including salinity and total phosphorus) were used as drivers for the CoastWeb model. To further refine the estimates of fish biomass, we complemented the model by using data from nearby areas on the ratio of piscivorous to non-piscivorous fish for those size classes not representatively sampled by the monitoring gear (fish < 12 cm). Piscivorous fish biomass in the area was estimated at 10-14 tonnes (4.6-6.5 kg/ha), non-piscivorous fish biomass at 105-139 tonnes (47-62 kg/ha) and the subsequent total fish biomass was estimated at 115-154 tonnes (52-69 kg/ha). The estimated range of total fish biomass was comparable with findings from other investigations on the Swedish Baltic Sea coast which used a coarser methodology. The method presented in this paper can be used for making biomass estimates in other coastal waters where passive gears are used to monitor the local fish communities, and could thus serve a range of purposes for assessing the production and status of fish in coastal waters. (C) 2013 Elsevier B.V. All rights reserved.

Keywords

Coastal fish; Piscivores; Non-piscivores; Biomass; Food-web modelling

Published in

Ecological Modelling
2013, Volume: 269, pages: 86-97

SLU Authors

• Bryhn, Andreas

  • Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences
    

• Ragnarsson Stabo, Henrik

  • Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences
    

• Olsson, Jens

  • Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences
    

Sustainable Development Goals

SDG14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development
SDG2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture


UKÄ Subject classification

Marine Engineering
Ecology


Publication identifier

DOI: https://doi.org/10.1016/j.ecolmodel.2013.08.015

Permanent link to this page (URI)

https://res.slu.se/id/publ/51343