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The Value, Limitations, and Challenges of Employing Local Experts in Conservation Research

机译：在保护研究中聘用当地专家的价值，局限性和挑战

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摘要

Abstract: Evidence suggests that the involvement of local people in conservation work increases a project's chances of success. Involving citizen scientists in research, however, raises questions about data quality. As a tool to better assess potential participants for conservation projects, we developed a knowledge gradient, K, along which community members occupy different positions on the basis of their experience with and knowledge of a research subject. This gradient can be used to refine the citizen–science concept and allow researchers to differentiate between community members with expert knowledge and those with little knowledge. We propose that work would benefit from the inclusion of select local experts because it would allow researchers to harness the benefits of local involvement while maintaining or improving data quality. We used a case study from the DeHoop Nature Preserve, South Africa, in which we conducted multiple interviews, identified and employed a local expert animal tracker, evaluated the expert's knowledge, and analyzed the data collected by the expert. The expert animal tracker J.J. created his own sampling design and gathered data on mammals. He patrolled 4653 km in 214 days and recorded 4684 mammals. He worked from a central location, and his patrols formed overlapping loops; however, his data proved neither spatially nor temporally autocorrelated. The distinctive data collected by J.J. are consistent with the notion that involving local experts can produce reliable data. We developed a conceptual model to help identify the appropriate participants for a given project on the basis of research budget, knowledge or skills needed, technical literacy requirements, and scope of the project.
机译：摘要：证据表明，当地人参与保护工作增加了项目成功的机会。但是，让公民科学家参与研究却引发了有关数据质量的问题。为了更好地评估潜在的保护项目参与者，我们开发了一个知识梯度K，社区成员根据他们对研究主题的经验和知识，在该知识梯度中担任不同的职务。该梯度可用于完善公民科学概念，并使研究人员能够区分具有专业知识的社区成员和缺乏知识的社区成员。我们建议，选择本地专家可以使工作受益，因为这将使研究人员可以在保持或改善数据质量的同时利用本地参与的好处。我们使用了来自南非DeHoop自然保护区的案例研究，在该案例中，我们进行了多次采访，确定并雇用了本地专家动物追踪器，评估了专家的知识，并分析了专家收集的数据。动物追踪专家J.J.创建了自己的抽样设计并收集了有关哺乳动物的数据。他在214天内巡逻了4653公里，并记录了4684只哺乳动物。他在一个中心位置工作，巡逻形成了重叠的环圈。然而，他的数据证明在空间和时间上都没有自相关。 J.J.收集的独特数据这与让本地专家参与可以产生可靠数据的观点是一致的。我们开发了一种概念模型，可以根据研究预算，所需的知识或技能，技术素养要求和项目范围，帮助确定特定项目的合适参与者。

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  • 来源
    《Conservation Biology》 |2011年第6期|p.1195-1202|共8页
  • 作者

    MARK ELBROCH; TUYENI H. MWAMPAMBA; MARIA J. SANTOS; MAXINE ZYLBERBERG; LOUIS LIEBENBERG; JAMES MINYE; CHRISTOPHER MOSSER; ERIN REDDY;

  • 作者单位

    Department of Wildlife, Fisheries and Conservation Biology, 1088 Academic Surge, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.;

    Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de Mexico Campus Morelia, Antigua carretera a Pátzcuaro No. 8701, Col. Ex-hacienda de San José de La Huerta, C. P. 58190, Morelia, Michoacán, Mexico;

    Center for Spatial Technologies and Remote Sensing, Department of Land, Air and Water Resources, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.;

    Department of Neurobiology, Physiology and Behavior, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.;

    Cyber Tracker Conservation, P.O. Box 962, Bellville, Cape Town 7535, South Africa;

    Cyber Tracker Conservation, P.O. Box 962, Bellville, Cape Town 7535, South Africa;

    Department of Wildlife, Fisheries and Conservation Biology, 1088 Academic Surge, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.;

    Department of Wildlife, Fisheries and Conservation Biology, 1088 Academic Surge, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.;

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  • 正文语种 eng
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  • 关键词

    citizen science; community participation; DeHoop Nature Preserve; observer reliabilityciencia ciudadana; fiabilidad de observadores; participación comunitaria; Reserva Natural DeHoop;

    机译：公民科学;社区参与;德霍普自然保护区;观察者公民可靠性;观察者可靠性;社区参与;德霍普自然保护区;

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