Accounting for Predator-Prey Fisheries in the Cost-Effective Management of Eutrophicated Coastal Waters

Katarina Elofsson et al.

Marine Resource Economics2025https://doi.org/10.1086/733795article
AJG 1ABDC A
Weight
0.50

Abstract

Policies for mitigating the eutrophication of coastal waters typically focus on reducing land-based emissions. Fish and fisheries management have been suggested as a potentially efficient complementary measure. The purpose of this paper is to investigate the cost-effective achievement of targets for coastal water transparency with the help of adjusted harvesting strategies for predatory fish, biomanipulation of prey fish, and nutrient load mitigation, taking natural variations in water color into account. We develop an empirical steady-state bioeconomic model and apply it to two case areas along the Swedish Baltic Sea. Results show that prey fish stocks, which negatively affect water transparency, are reduced to a minimum in one study area, while an interior solution with a positive harvest is found in the other. Policies targeting fish management can be relevant for locally tailored strategies to mitigate eutrophication.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1086/733795

Or copy a formatted citation

@article{katarina2025,
  title        = {{Accounting for Predator-Prey Fisheries in the Cost-Effective Management of Eutrophicated Coastal Waters}},
  author       = {Katarina Elofsson et al.},
  journal      = {Marine Resource Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1086/733795},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Accounting for Predator-Prey Fisheries in the Cost-Effective Management of Eutrophicated Coastal Waters

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.