Details

Autor(en) / Beteiligte

• Weng, Weizhe
• Boyle, Kevin J.
• Farrell, Kaitlin J.
• Carey, Cayelan C.
• Cobourn, Kelly M.
• Dugan, Hilary A.
• Hanson, Paul C.
• Ward, Nicole K.
• Weathers, Kathleen C.

Titel

Coupling Natural and Human Models in the Context of a Lake Ecosystem: Lake Mendota, Wisconsin, USA

Ist Teil von

• Ecological economics, 2020-03, Vol.169, p.106556, Article 106556

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2020

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Nutrient loading lead to poor water quality and this has impacts of the welfare of people who live near lakes. We develop a novel coupling between a limnology model of within-lake hydrodynamics and an economic model of property prices to support integrated assessments of actions to protect or improve water quality. We find, in the context of Lake Mendota that is eutrophic with high concentrations of nitrogen (N) and phosphorous (P), that there is a nonlinear response in water quality to changes in nutrient loading. Reductions in nutrient loading result in much larger improvements in water quality than the magnitude of water quality deterioration with a similar size increase in nutrient loading. Given the in-situ concentrations of N and P in the lake, large reductions in nutrient loading are required to have a substantial impact on water quality. •Decreases and increases in nutrient loading in a eutrophic lake have asymmetric effects on water quality.•Decreases in nutrient loading result in larger effects in water quality than equivalent increases.•Changes in water quality would lead to economic impacts in terms of lakefront property values and property tax revenues.•Greatest economic benefits for oligotrophic lakes will be from preventing increases in nutrient loading.