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Physical Sciences and Mathematics Commons

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Natural Resources Management and Policy

University of Nebraska - Lincoln

School of Natural Resources: Dissertations, Theses, and Student Research

2013

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Spatial And Temporal Participation In Recreational Fishing, Dustin R. Martin Dec 2013

Spatial And Temporal Participation In Recreational Fishing, Dustin R. Martin

School of Natural Resources: Dissertations, Theses, and Student Research

Buffering inland fisheries against large-scale changes in ecosystem function, climate regimes, and societal valuations of natural resources requires progressive management approaches that incorporate fish and angler dynamics at large spatial and temporal scales. Current paradigms of inland fishery management generally utilize waterbody-specific, fish-centric frameworks designed to regulate fish populations directly, and anglers indirectly, through fish stock enhancement and harvest regulation. In reality, anglers are the most manageable component of a fishery but management of anglers requires explicit consideration of their behavior (e.g., spatial and temporal patterns of participant use), which, unlike fish populations, operates at a scale larger than a …


New Tools For Quantitative Decision Analysis In Applied Ecology And Conservation, Adam W. Schapaugh Mar 2013

New Tools For Quantitative Decision Analysis In Applied Ecology And Conservation, Adam W. Schapaugh

School of Natural Resources: Dissertations, Theses, and Student Research

Scientists have generated a massive body of theory aimed at predicting and managing the impacts of anthropogenic activities on populations, species, and ecosystems. Transforming this research into knowledge that informs complex decision-making problems remains a major challenge in environmental management and conservation. My dissertation research aims to address this issue through the development and application of mathematical and statistical models. I integrate tools, concepts, and techniques from ecology, applied mathematics, computer science, and statistics to build structured decision-making frameworks for spatial prioritization, resource allocation, and optimal scheduling. I also tackle several of the technical challenges limiting the utility of such …