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The article discusses the alternative futures analysis conducted in the Willamette River Basin in Oregon. Various factors are evaluated including water supply, stream condition and terrestrial wildlife. Information is offered on the Conservation 2050 program aiming for the protection and restoration of the ecosystem.

Bivariate correlation analysis has been widely used to explore relationships between stream and watershed attributes that have all been measured on the same set of watersheds or sampling locations. Researchers routinely test H[sub0]: ρ = 0 for each correlation in a large table and then go on to discuss only those that are declared "significant." Such test results are inaccurate because no allowance is made for multiple testing, and also because the tests are not mutually independent. This paper reviews the Bonferroni approach to controlling the overall error rate in multiple testing and shows how the approach becomes impractical for large correlation tables. The Hotelling/Williams test is introduced for comparing two dependent correlations that share a variable, and numerical constraints for two such correlations are illustrated. References are also given for testing other hypothesized patterns among dependent correlations, and links to dependent correlation software are provided. The methods are illustrated for watershed and stream variables sampled in 23 small agricultural watersheds of the Willamette Valley, Oregon. [ABSTRACT FROM AUTHOR]

Presents a correction to the article "Analyzing Correlations Between Stream and Watershed Attributes," that was previously published in the May 2005 issue of the "Journal of the American Water Resources Association."