Evaluating ecological indicators: lakes in the northeastern United States

Area of Science:

• Environmental Science
• Ecology
• Water Quality Assessment

Background:

• Assessing lake condition is crucial for environmental management.
• Identifying reliable indicators for lake health is an ongoing challenge.
• Existing indicators often require complex biological sampling.

Purpose of the Study:

• To develop and test an approach for identifying effective lake condition indicators.
• To compare the predictive power of human activity measures versus biological indicators.
• To determine if easily-obtained human activity data can serve as robust proxies for lake quality.

Main Methods:

• Utilized U.S. Environmental Protection Agency survey data from hundreds of northeastern U.S. lakes.
• Constructed a water quality "gold standard" using principal component analysis of 16 chemical variables.
• Assessed associations between the water quality proxy and 71 candidate indicators (human activity, birds, fish, zooplankton) using rank correlations and ROC curves.

Main Results:

• Variables reflecting human disturbance showed the strongest associations with the water quality proxy.
• Easily-measured indicators of human activity demonstrated high predictive power.
• Human activity indicators were found to be as predictive as many complex biological indicators.

Conclusions:

• Human activity metrics are effective and practical indicators of lake condition.
• Simplified monitoring using human disturbance data can complement or replace complex biological assessments.
• This approach offers a cost-effective strategy for evaluating and managing lake ecosystems.