Abstract

We propose a theoretical approach to evaluating the quality of large ecosystems under anthropogenic stress, and present a partial application of these ideas. We synthesized data from a variety of Chesapeake Bay monitoring programs into composite variables expressing ecosystem integrity. The analysis spanned most of the larger Maryland tributaries to the Bay (tidal fresh to mesohaline areas) for nine years (1986–1994). An index modeled on the Index of Biotic Integrity (IBI) and a multivariate ordination and ranking method combined information on aquatic plant, plankton, benthic and fish assemblages with water quality-based habitat goals. The multivariate method proved superior to the IBI approach in discriminating ecosystem integrity. A logistic regression model with watershed land use characteristics and water depth as independent variables explained a significant amount of variation in the multivariate rank index. Urban land use had the most negative effect on the index, whereas forested land had the most positive effect.

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