WATERSHEDS ARE NOT EQUAL: EXPLORING THE FEASIBILITY OF WATERSHED MANAGEMENT1
Caron Chess, Ginger Gibson
Abstract
Caron Chess, Ginger Gibson
Abstract
ABSTRACT: We propose that some watersheds may be better candidates for watershed management than others. The extent of success of watershed management may depend, in part, on attributes intrinsic to watersheds: scientific feasibility, social feasibility, and motivational feasibility. Using illustrations from New Jersey watershed management efforts, we tie scientific feasibility to the nature of environmental problems and the scientific capability to solve them. Social feasibility encompasses civic infrastructure and engagement. Motivational feasibility includes issue salience linked to values or economic considerations. We suggest that assessments should be made about the viability of watershed management in specific watersheds and that priorities should be developed based on these assessments. Research on watershed management should explore not only how to improve watershed management but also where to conduct it.
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ABSTRACT: We propose that some watersheds may be better candidates for watershed management than others. The extent of success of watershed management may depend, in part, on attributes intrinsic to watersheds: scientific feasibility, social feasibility, and motivational feasibility. Using illustrations from New Jersey watershed management efforts, we tie scientific feasibility to the nature of environmental problems and the scientific capability to solve them. Social feasibility encompasses civic infrastructure and engagement. Motivational feasibility includes issue salience linked to values or economic considerations. We suggest that assessments should be made about the viability of watershed management in specific watersheds and that priorities should be developed based on these assessments. Research on watershed management should explore not only how to improve watershed management but also where to conduct it.
Key concepts: Watershed, Watershed management, Salience (neuroscience), Environmental resource management, Environmental planning, Computer science, Environmental science, Business