Simulating the effects of biomanipulation on the food web of Lake Ringsjön
Författare
Summary, in English
A dynamic, process-oriented, deterministic and phosphorus-based model was developed to simulate the food web dynamics of Lake Ringsjön, in particular the long-term effects of biomanipulation in terms of reduction of omnivorous fish. The model contains 14 state variables, each with a differential equation describing sources and sinks of phosphorus. The state variables encompass piscivorous and omnivorous fish, zooplankton, phytoplankton, sediment and lake water. The model simulates densities of fish and phytoplankton adequately, both before and after biomanipulation, although the actual lake phytoplankton density varied more year-to-year compared to the model predictions. According to the model, a biomanipulation will cause an increase in zooplankton biomass. This prediction contradicts available field data from the lake which do not indicate any significant change in zooplankton biomass resulting from the performed biomanipulation. This discrepancy may partly be attributed to structural uncertainties in the model, related to the size structure of predators on zooplankton, i.e. the omnivorous fish community. The simulations suggest that phosphorus was routed along the pelagic food chain to a larger extent after omnivorous fish were removed, whereas the amount of phosphorus routed via the sediment and benthivorous fish decreased following fish removal. Accordingly, translocation of phosphorus from sediment to water by benthivorous fish is predicted to be substantially reduced by biomanipulation, resulting in an overall reduction in the release of new phosphorus to phytoplankton. Irrespective of simulated fishing effort (reduction of 0.5% d
Avdelning/ar
Publiceringsår
1999
Språk
Engelska
Sidor
131-144
Publikation/Tidskrift/Serie
Hydrobiologia
Volym
404
Dokumenttyp
Artikel i tidskrift
Förlag
Springer
Ämne
- Ecology
Nyckelord
- phosphorus
- model
- excretion
- grazing
Status
Published
Forskningsgrupp
- Aquatic Ecology
ISBN/ISSN/Övrigt
- ISSN: 0018-8158