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Quantifying local knowledge for use in marine planning: A pilot project in British Columbia's south central coast.

机译:量化用于海洋规划的本地知识:在不列颠哥伦比亚省中南部海岸的一个试点项目。

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摘要

It is accepted that local knowledge should be included in marine planning, and this is stated in Canada's Ocean Act and National Marine Conservation Areas Act. Nonetheless, the integration of local knowledge with quantitative data has proven more difficult than first thought. Thus, resource management is usually divided, with resource users' anecdotal information on the one side, and quantitative data of scientists on the other.; In this thesis, methodologies and statistical procedures are developed to quantify local fisheries knowledge. Unique indices for precision and valuation are presented. Quantified local knowledge is then examined for spatial correlations with two conventional quantitative datasets: fishery logbook catch data, and a species-habitat model. Local knowledge and logbook data exhibited the highest spatial correlations, followed by local knowledge and the habitat model. Of the three types of data examined, for planning purposes the quantified local knowledge would appear to be the best choice/compromise.
机译:公认在海洋规划中应包括当地知识,加拿大的《海洋法》和《国家海洋保护区法》对此做了规定。但是,事实证明,将本地知识与定量数据整合起来比想象的要困难得多。因此,通常将资源管理分为两部分,一方面是资源用户的轶事信息,另一方面是科学家的定量数据。本文提出了方法和统计程序,以量化当地的渔业知识。提出了用于准确性和评估的独特索引。然后,使用两个常规的定量数据集检查定量的本地知识的空间相关性:渔业日志捕获数据和物种栖息地模型。本地知识和日志数据显示出最高的空间相关性,其次是本地知识和栖息地模型。在检查的三种类型的数据中,出于计划目的,量化的本地知识似乎是最佳选择/妥协。

著录项

  • 作者

    Ardron, Jeffrey A.;

  • 作者单位

    Royal Roads University (Canada).;

  • 授予单位 Royal Roads University (Canada).;
  • 学科 Biology Biostatistics.; Agriculture Fisheries and Aquaculture.
  • 学位 M.Sc.
  • 年度 2005
  • 页码 117 p.
  • 总页数 117
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物数学方法;水产、渔业;
  • 关键词

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