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Full-Text Articles in Natural Resource Economics
Rad Rivers In Rad Places: Characterizing The Historical And Future Whitewater Resources In Select Regions Of The United States, Melissa D. Shafer
Rad Rivers In Rad Places: Characterizing The Historical And Future Whitewater Resources In Select Regions Of The United States, Melissa D. Shafer
Graduate Theses, Dissertations, and Problem Reports
Outdoor recreation is a highly profitable industry in the United States. In 2021, outdoor recreation accounted for $454.0 billion, or 1.9% of the current-dollar gross domestic product for the nation. Many states have benefited financially from focusing on promoting their outdoor recreation and natural resources. Whitewater (WW) paddling has been a recreational activity since the 1950s. In 2007 there were an estimated 1.2 million participants in whitewater kayaking. As of 2020, that number increased to 2.6 million, doubling the number of participants. WW resources can be leveraged to reshape local and regional economies. The framework developed in this study provides …
Development Of A Framework To Support Community-Scale Nutrient Recovery For Local Crop Fertilization And Production, Scott A. Lopez
Development Of A Framework To Support Community-Scale Nutrient Recovery For Local Crop Fertilization And Production, Scott A. Lopez
Graduate Theses, Dissertations, and Problem Reports
Nutrient and resource recovery (NRR) has become increasingly crucial as regions face deteriorating sanitation infrastructures, limited support, and growing environmental challenges. Implementing region-specific NRR technologies and systems could provide effective circular economy insights into addressing these challenges. Because of the multidisciplinary challenges associated with the design and implementation of NRR strategies, various government and local decision-makers need to collaborate effectively in the decision-making process. Structured decision-making (SDM) methodologies are practical when determining the most appropriate NRR strategy for nutrient-rich waste streams. However, applications of computational SDM limited because of the vast amounts of data that are needed to analyze the …