1,210 research outputs found

    Towards Proactive Wildlife Health – Global Insights on Conservation from the Wildlife Conservations Society’s Wildlife Health & Health Policy Program

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    The Wildlife Conservation Society’s Wildlife Health & Health Policy Program, thefirst of its kind, evolved from the Field Veterinary Program begun in 1989. We work at the interface of wildlife health, domestic animal health, and human health and livelihoods, all as underpinned by the state of environmental stewardship. It is at this interface where the opportunities for infectious disease spread, environmental pollution and other disruptions to critical ecosystems are greatest, and where proactive approaches to ecosystem health can optimize benefits for all. Our program has grown to address important conservation issues impacting landscapes, seascapes and species around the world, including those related to Ebola virus disease, avian influenza, foot and mouth disease as it relates to cross-sectoral land-use planning, lead poisoning up food chains, canine distemper in Amur tigers, emerging zoonotic disease threats to human health, and policy-relevant quantification of relationships between environmental degradation and impacts on public health. As we try to work 'upstream' to address health-related challenges that limit conservation success, our toolbox includes research, training, education and outreach, the creation of enabling environments for addressing intersectoral conflicts, and sociopolitical engagement at a range of scales

    Classification of Coastal Communities Reporting Commercial Fish Landings in the U.S. Northeast Region: Developing and Testing a Methodology

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    The National Marine Fisheries Service is required by law to conduct social impact assessments of communities impacted by fishery management plans. To facilitate this process, we developed a technique for grouping communities based on common sociocultural attributes. Multivariate data reduction techniques (e.g. principal component analyses, cluster analyses) were used to classify Northeast U.S. fishing communities based on census and fisheries data. The comparisons indicate that the clusters represent real groupings that can be verified with the profiles. We then selected communities representative of different values on these multivariate dimensions for in-depth analysis. The derived clusters are then compared based on more detailed data from fishing community profiles. Ground-truthing (e.g. visiting the communities and collecting primary information) a sample of communities from three clusters (two overlapping geographically) indicates that the more remote techniques are sufficient for typing the communities for further in-depth analyses. The in-depth analyses provide additional important information which we contend is representative of all communities within the cluster

    Letter from 2016 Literary Editors

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