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An evaluation of the Michigan Department of Natural Resources Traffic Survey and alternative proposals to provide an early estimate of the firearm deer season harvest.

机译:对密歇根州自然资源部交通调查的评估和其他建议,以早期估算枪支鹿的季节收成。

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摘要

The Michigan Department of Natural Resources (MDNR) has used a Traffic Survey to provide an early estimate of the annual firearm deer season harvest since 1952. At the time of the survey's design hunter travel patterns in Michigan were well known and easily predicted, most of the hunting was done in the northern 213 of the state by hunters traveling from the south. Today, hunting patterns in Michigan are evenly distributed throughout the state. Given this change in hunter distribution, can the traffic survey still provide accurate estimates? Using stepwise regression procedures to derive estimates from the current traffic survey data produced total annual state kill estimates with a mean difference from the mail survey of 11.03% for the years 1987 to 1999. No data set manipulation or modification of the model selection methods produced estimates that were any closer to the mail survey for this same time period. No data set or model selection method met the level of precision desired for an initial estimate of the harvest set by the MDNR (within 5% of the mail survey, 95% of the time). If the current desired level of precision must be met, the traffic survey should be replaced with a survey that is capable of this. An evaluation of several alternative surveys including a telephone survey proposal, a survey of deer processors, and a mandatory check are also discussed.
机译:密歇根州自然资源部(MDNR)已使用流量调查来提供自1952年以来的年度火器鹿季节收获的早期估计。在调查时,密歇根州的猎人旅行方式众所周知且容易预测,大部分狩猎是在该州北部213进行的,狩猎者是从南方来的。如今,密歇根州的狩猎方式在整个州平均分布。鉴于猎人分布的这种变化,流量调查是否仍可以提供准确的估算值?使用逐步回归程序从当前的交通调查数据中得出估计值,可以得出年度状态总死亡估计值,与1987年至1999年的邮件调查相比,平均差异为11.03%。没有数据集操纵或对模型选择方法的修改都能得出估计值在同一时间段内,它更接近邮件调查。没有任何数据集或模型选择方法能够满足MDNR设定的收成初始估计所需的精度水平(在邮件调查的5%(95%的时间内)内。如果必须满足当前所需的精度水平,则应使用能够做到这一点的测量代替交通测量。还讨论了对几种替代调查的评估,包括电话调查建议,鹿加工者调查和强制检查。

著录项

  • 作者

    Heimerl, Eric Lee.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Biology Biostatistics.; Agriculture Forestry and Wildlife.
  • 学位 M.S.
  • 年度 2002
  • 页码 109 p.
  • 总页数 109
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物数学方法;森林生物学;
  • 关键词

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