首页> 外文学位 >Development of an innovative statewide population monitoring program for mule deer.
【24h】

Development of an innovative statewide population monitoring program for mule deer.

机译:开发创新的全州m鹿种群监测计划。

获取原文
获取原文并翻译 | 示例

摘要

onitoring population trend and estimating vital demographic parameters are essential for effective management of a mule deer ( Odocoileus hemionus) population. Because of financial constraints, many wildlife agencies use computer models to obtain indirect indices of population size and trend as an alternative to annual field-based estimates of population size. These models are based primarily on herd composition counts and harvest rates from hunter-harvest surveys, and are rarely field validated. I developed an alternative method for monitoring population dynamics of wintering populations of mule deer. I designed a hybrid monitoring program that combined annual vital rate monitoring to track changes in population growth rate with a field-based approach for estimating population abundance. The program allocated resources optimally towards the most critical components of mule deer population dynamics, and consisted of 4 field surveys: annual monitoring of age ratios, overwinter fawn survival, and annual doe survival, with field-based estimates of population size only once every 4 years. Surveys were conducted from 2006 to 2008 in Wildlife Management Unit (WMU) 2, Utah, and cost
机译:监测种群趋势并估算人口统计学重要参数对于有效管理a鹿(Odocoileus hemionus)种群至关重要。由于资金拮据,许多野生生物机构都使用计算机模型来获取人口规模和趋势的间接指标,以替代基于实地的年度人口规模估算。这些模型主要基于猎人收获调查中的牛群组成数和收获率,很少经过现场验证。我开发了另一种方法来监视m鹿越冬种群的种群动态。我设计了一个混合监视程序,该程序结合了年度生命率监视以跟踪人口增长率的变化,并结合了基于现场的方法来估计人口数量。该计划将资源最佳地分配给towards鹿种群动态的最关键部分,并包括4个现场调查:对年龄比率,越冬小鹿存活和年度母鹿存活的年度监测,基于实地的人口规模估算每4次一次年份。调查于2006年至2008年在犹他州的野生动物管理单位(WMU)2中进行,

著录项

  • 作者

    Bernales, Heather H.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Agriculture Wildlife Management.
  • 学位 M.S.
  • 年度 2010
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号