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Cited by 460

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Swimming Upstream: Collaborative Approaches to Watershed Management

·2005·The MIT Press eBooks

Abstract

In recent years, water resource management in the United States has begun a shift away from top-down, government agency-directed decision processes toward a collaborative approach of negotiation and problem solving. Rather than focusing on specific pollution sources or specific areas within a watershed, this new process considers the watershed as a whole, seeking solutions to an interrelated set of social, economic, and environmental problems. Decision making involves face-to-face negotiations among a variety of stakeholders, including federal, state, and local agencies, landowners, environmentalists, industries, and researchers. Swimming Upstream analyzes the collaborative approach by providing a historical overview of watershed management in the United States and a normative and empirical conceptual framework for understanding and evaluating the process. The bulk of the book looks at a variety of collaborative watershed planning projects across the country. It first examines the applications of relatively short-term collaborative strategies in Oklahoma and Texas, exploring issues of trust and legitimacy. It then analyzes factors affecting the success of relatively long-term collaborative partnerships in the National Estuary Program and in 76 watersheds in Washington and California. Bringing analytical rigor to a field that has been dominated by practitioners' descriptive accounts, Swimming Upstream makes a vital contribution to public policy, public administration, and environmental management.

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Metadata

Venue
The MIT Press eBooks
Publisher
The MIT Press
Published
2005-04-29
OpenAlex
W4243401642
Cited by
460
References
0
FWCI
23.48
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Swimming Upstream: Collaborative Approaches to Watershed Management. https://app.cochat.ai/papers/10.7551/mitpress/6577.001.0001
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Swimming Upstream: Collaborative Approaches to Watershed Management. (2005). The MIT Press eBooks. https://doi.org/10.7551/mitpress/6577.001.0001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.