...
首页> 外文期刊>Canadian Journal of Fisheries and Aquatic Sciences >Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
【24h】

Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space

机译:东北大西洋的小须鲸(Balaenoptera acutorostrata)丰富:时间和空间的可变性

获取原文
获取原文并翻译 | 示例
           

摘要

Regional sighting surveys with two independent observers on each vessel were conducted each year from 1996 to 2001. Northern minke whales (Balaenoptera acutorostrata) are mostly solitary animals and are only available for observation at moments when they surface to breath. Thus, a stochastic point process model is developed for how the data are generated. The hazard probability of initially sighting a whale that surfaces depends on relative spatial coordinates and on other covariates. The parameters of the model are estimated by maximum likelihood. To account for interannual variation in spatial distribution of minke whales, a random effects model is developed and estimated by comparing current and past (1989 and 1995) survey data. A simulation approach is taken to remove bias from parameter estimates and to assess the uncertainty in the results. For total abundance, the result is a log-normal confidence distribution with quantiles 107 205.exp(0.137z), i.e., an abundance estimate of 107 205 with a coefficient of variation of 0.14. Together with these and earlier survey data, past data on catch, mark-recapture, and satellite tracking are reviewed to elucidate distribution and migration patterns in Northeastern Atlantic minke whales.
机译:从1996年到2001年,每年在每艘船上由两名独立观察员进行区域观察调查。北方小须鲸(Balaenoptera acutorostrata)大多是孤独的动物,仅在它们浮出水面时可以观察。因此,开发了随机点过程模型来生成数据。最初看到鲸鱼浮出水面的危险概率取决于相对空间坐标和其他协变量。通过最大似然估计模型的参数。为了解决小须鲸的空间分布的年际变化,通过比较当前和过去(1989年和1995年)的调查数据,开发并估算了随机效应模型。采用一种仿真方法来消除参数估计中的偏差并评估结果的不确定性。对于总丰度,结果是具有分位数107 205.exp(0.137z)的对数正态置信度分布,即107 205的丰度估计值的变化系数为0.14。连同这些和较早的调查数据一起,回顾了过去有关捕获,标记夺回和卫星跟踪的数据,以阐明东北大西洋小须鲸的分布和迁移方式。

著录项

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