A New Scoring System for use in Capture-Recapture Studies for Bowhead Whales Photographed with Drones

IF 1.3 Q3 REMOTE SENSING
W. Koski, B. Young
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引用次数: 3

Abstract

Effective management of animal populations requires knowledge of life history parameters and estimates of population abundance. One method commonly used to estimate abundance is capture/recapture analyses of photographs. Small, relatively inexpensive, rotary-wing drones have become an effective platform for obtaining high-quality aerial photographs of whales. To conduct capture/recapture analyses the animal needs to be defined as marked or unmarked and the photographs must be of high quality. While a system for scoring quality and markedness has previously been developed for bowhead whales (Balaena mysticetus) (Rugh et al. 1998), a revised scoring system was needed to incorporate increased information in photographs taken by drones. We present a revised scoring system that enlarges two of the previously defined areas of the whale examined for markings and incorporates smaller markings into the definition of marked whales. We scored 30 whales using the previous criteria and the revised criteria developed in this paper. More whales were identified as marked (23%) and mark scores were higher for 30% of the zones scored using the new system. Increasing the number of marked whales during capture/recapture studies increases the precision of estimated parameters and permits us to make those estimates with smaller samples of photographs.
一种新的评分系统用于用无人机拍摄的弓头鲸的捕获-再捕获研究
动物种群的有效管理需要了解生活史参数和种群丰度的估计。一种常用的估算丰度的方法是对照片进行捕捉/再捕捉分析。小型、相对便宜的旋翼无人机已经成为获取高质量鲸鱼航空照片的有效平台。为了进行捕获/重新捕获分析,需要将动物定义为标记或未标记,并且照片必须高质量。虽然以前已经为弓头鲸(Balaena mysticetus)开发了评分质量和标记系统(Rugh et al. 1998),但需要修改评分系统,以纳入无人机拍摄的照片中的更多信息。我们提出了一个修订的评分系统,扩大了两个先前定义的鲸鱼检查标记的区域,并将较小的标记纳入标记鲸鱼的定义。我们使用之前的标准和本文中开发的修订标准对30名鲸鱼玩家进行了评分。更多鲸鱼被识别为标记(23%),并且使用新系统评分的区域中有30%的标记分数更高。在捕获/再捕获研究中增加标记鲸鱼的数量可以提高估计参数的精度,并允许我们使用更小的照片样本进行估计。
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
2
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