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Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Animal Sciences

Utah State University

2016

Wildlife

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

A Benefit-Cost Analysis Decision Framework For Mitigation Of Disease Transmission At The Wildlife–Livestock Interface, Stephanie A. Shwiff, Steven J. Sweeney, Julie L. Elser, Ryan S. Miller, Matthew L. Farnsworth, Pauline Nol, Steven S. Shwiff, Aaron M. Anderson Jan 2016

A Benefit-Cost Analysis Decision Framework For Mitigation Of Disease Transmission At The Wildlife–Livestock Interface, Stephanie A. Shwiff, Steven J. Sweeney, Julie L. Elser, Ryan S. Miller, Matthew L. Farnsworth, Pauline Nol, Steven S. Shwiff, Aaron M. Anderson

Human–Wildlife Interactions

The economics of managing disease transmission at the wildlife–livestock interface have received heightened attention as agricultural and natural resource agencies struggle to tackle growing risks to animal health. In the fiscal landscape of increased scrutiny and shrinking budgets, resource managers seek to maximize the benefits and minimize the costs of disease mitigation efforts. To address this issue, a benefit-cost analysis decision framework was developed to help users make informed choices about whether and how to target disease management efforts in wildlife and livestock populations. Within the context of this framework, we examined the conclusions of a bene� t-cost analysis conducted …


A Conceptual Model To Determine Vulnerability Of Wildlife Populations To Offshore Wind Energy Development, M. Wing Goodale, Iain J. Stenhouse Jan 2016

A Conceptual Model To Determine Vulnerability Of Wildlife Populations To Offshore Wind Energy Development, M. Wing Goodale, Iain J. Stenhouse

Human–Wildlife Interactions

As offshore wind energy development is planned in the United States, there is an increasing need for pre- and post-construction monitoring plans to be focused on species determined to be most vulnerable to hazards of a specific project. We propose a conceptual model that incorporates biological and sociological parameters. Specifically, we suggest that demographic, ethological/biological, and population sensitivity be considered with legal protection, economic importance, and/or stakeholder interest. We recommend that vulnerability determinations include qualitative and quantitative methods.