Modelling Production and Biomasses of Prey and Predatory Fish in Lakes

Håkanson, Lars; Boulion, V. V.

doi:10.1023/b:hydr.0000014036.93661.8e

Cited by 2 publications

(8 citation statements)

References 10 publications

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“…. Ytemp is a dimensionless moderator which equals the surface water temperature ( • C) divided by 9 • C, indicating that fish growth is generally higher at higher temperatures (Håkanson and Boulion, 2004). Since the fish monitoring program maintained in Kvädöfjärden Bay mainly targets species of freshwater origin which are favoured by higher water temperatures (HELCOM, 2012a), this relationship is likely to also apply to the data used in the present study.…”

Section: Study Area and Methodsmentioning

confidence: 79%

“…These equations are also listed in the Appendix. More details about these submodels and the full CoastWeb model can also be found in Håkanson and Boulion (2004), Håkanson and Lindgren (2010) and .…”

Section: Study Area and Methodsmentioning

confidence: 99%

“…FZPPY is the biomass consumption of predatory zooplankton by non-piscivorous fish (in kg/month) and is delivered by a predatory zooplankton submodel . MERPY is the metabolic efficiency ratio of prey fish and is 0.16, meaning that 1/0.16 = 6.25 kg of prey fish food is typically required to produce 1 kg of prey fish biomass (Håkanson and Boulion, 2004; Håkanson Table 2 Estimated migration rates into and out of Kvädöfjärden Bay (in 1/month). PY: prey (non-piscivorous) fish, PD: predatory (piscivorous) fish.…”

Section: Study Area and Methodsmentioning

confidence: 99%

“…where TPY equals 300 days, the typical retention time for prey fish in a temperate aquatic ecosystem (Håkanson and Boulion, 2004). FishPY in Eq.…”

Section: Monthmentioning

confidence: 99%

See 3 more Smart Citations

Modelling the biomass of functional groups of fish in an archipelago bay of the Baltic Sea

Bryhn

Stabo

Olsson

2013

Ecological Modelling

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Section: Study Area and Methodsmentioning

confidence: 79%

Section: Study Area and Methodsmentioning

confidence: 99%

Section: Study Area and Methodsmentioning

confidence: 99%

“…where TPY equals 300 days, the typical retention time for prey fish in a temperate aquatic ecosystem (Håkanson and Boulion, 2004). FishPY in Eq.…”

Section: Monthmentioning

confidence: 99%

See 2 more Smart Citations

Modelling the biomass of functional groups of fish in an archipelago bay of the Baltic Sea

Bryhn

Stabo

Olsson

2013

Ecological Modelling

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“…The complete LakeWeb-model Ha˚kanson and Boulion (2002a) Uncertainty analyses of ecosystem models Ha˚kanson (2003a) The fish sub-model Ha˚kanson and Boulion (2004a) The zoobenthos sub-model Ha˚kanson and Boulion (2003d) The zooplankton sub-model The phytoplankton sub-model Boulion (2001a, 2003c) The bacterioplankton sub-model Boulion and Ha˚kanson (2003) The benthic algae sub-model Ha˚kanson and Boulion (2004b) The macrophyte sub-model Ha˚kanson and Boulion (2002b) The water clarity sub-model The mass-balance sub-model for phosphorus The sub-model for the duration of the growing season Ha˚kanson and Boulion (2001b) Practical applications using the LakeWeb-model 1. User knowledge.…”

Section: Model Descriptionmentioning

confidence: 99%

Setting Fish Quotas Based on Holistic Ecosystem Modelling Including Environmental Factors and Foodweb Interactions – A New Approach

Håkanson

Gyllenhammar

2005

Aquat Ecol

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We present a new approach to set fish quotas from holistic aquatic foodweb modelling (the LakeWeb-approach). This modelling includes changes in environmental conditions (nutrients, salinity, temperature, oxygen), process-based mass-balance calculations of nutrient concentrations from inflow, internal processes and outflow, calculations of how changes in nutrient concentrations affect primary production, how such changes influence secondary production and how this influence fish production and biomass. This approach gives dynamic, quantitative responses to alterations in driving variables and abiotic/biotic feedbacks. We have applied this approach for preliminary simulations of the cod biomass in the Baltic. We also show that this approach adds a new dimension in setting fish quotas, which in the future could complement, rather than compete with, the more established methods used today based on fish catch statistics and models based on other presuppositions. Our preliminary results indicate that under present environmental conditions (2003), the cod is likely to be extinct if the annual catch is between 95 and 100 kt. The present fish quota is 75 kt/yr in the Baltic, but the overfishing may be 35 kt/yr. We discuss cause-effect relationships regulating fish production, key factors influencing thresholds and points of no return connected to overfishing and changes in environmental conditions, factors regulating recovery and methods for setting optimal fish quotas using this modelling approach. Introduction and aim

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Modelling Production and Biomasses of Prey and Predatory Fish in Lakes

Cited by 2 publications

References 10 publications

Modelling the biomass of functional groups of fish in an archipelago bay of the Baltic Sea

Modelling the biomass of functional groups of fish in an archipelago bay of the Baltic Sea

Setting Fish Quotas Based on Holistic Ecosystem Modelling Including Environmental Factors and Foodweb Interactions – A New Approach

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