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P.W. Seelbach

Publications and source records attributed to P.W. Seelbach.

2 recordsLinked to original sources

Science as a fundamental framework for shaping policy discussions regarding the use of groundwater in the State of Michigan: A case study

The availability and use of freshwater is a growing concern in the United States and around the globe. Despite apparently abundant water resources, several conflicts over water use have emerged in the Great Lakes region and the State of Michigan. These conflicts resulted in state legislation that both addresses water withdrawal from the Great Lakes Basin and requires the State of Michigan to begin a process to address the sustainability of water resources. The former resulted in Michigan's support of the Great Lakes-St. Lawrence River Water Resources Compact, whereas the latter resulted in the formation of a Groundwater Conservation Advisory Council. This paper focuses primarily on the Council, describing its formation, and the products it generated. In particular, we focus on the development of indicators of sustainable use of water, the creation of a water withdrawal assessment process to determine if a proposed withdrawal will create an adverse resource impact in the state, and how the lessons learned in Michigan may be applied to other units of government addressing similar issues. Attention is also given to the Compact, as it provides important context for the Council's formation.

Michigan↗

Classification tree models for predicting distributions of michigan stream fish from landscape variables

Traditionally, fish habitat requirements have been described from local-scale environmental variables. However, recent studies have shown that studying landscape-scale processes improves our understanding of what drives species assemblages and distribution patterns across the landscape. Our goal was to learn more about constraints on the distribution of Michigan stream fish by examining landscape-scale habitat variables. We used classification trees and landscape-scale habitat variables to create and validate presence-absence models and relative abundance models for Michigan stream fishes. We developed 93 presence-absence models that on average were 72% correct in making predictions for an independent data set, and we developed 46 relative abundance models that were 76% correct in making predictions for independent data. The models were used to create statewide predictive distribution and abundance maps that have the potential to be used for a variety of conservation and scientific purposes. ?? Copyright by the American Fisheries Society 2008.

Transactions of the American Fisheries Society↗