Estimating North Atlantic right whale (Eubalaena glacialis) location uncertainty following visual or acoustic detection to inform dynamic management
Estimating North Atlantic right whale (Eubalaena glacialis) location uncertainty following visual or acoustic detection to inform dynamic management
复制标题
通过视觉或声学检测估计北大西洋露脊鲸（Eubalaena glacialis）位置不确定性，为动态管理提供信息
DOI：
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发表时间：
2020
影响因子：
3.1
通讯作者：
C. Taggart
中科院分区：
文献类型：
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作者：
Hansen D. Johnson;M. Baumgartner;C. Taggart
美国和加拿大采用动态管理战略，以改善濒危北大西洋露脊鲸（Eubalaena glacialis）的保护成果。这些策略依赖于从视觉调查和机会性目击中产生的鲸鱼分布的近真实的时间知识。近真实的实时被动声学监测（PAM）系统已经运行多年，但由于对声学检测鲸鱼位置的不确定性的担忧，露脊鲸的声学检测尚未纳入动态管理。这一基本原理没有考虑鲸鱼的运动或其对视觉或听觉探测后位置不确定性的贡献。本研究的目的是估计在声学和视觉检测后露脊鲸位置的不确定性，并确定由于检测后鲸鱼运动而使不确定性变得相似的时间尺度。我们使用参数化的自相关随机游走模型来模拟鲸鱼的运动，以近似三种常见的露脊鲸行为状态（旅行、进食和社交）。然后，我们使用蒙特卡罗方法来估计鲸鱼在96小时内的位置，考虑到声学和视觉检测方法的初始不确定性以及鲸鱼运动引起的不断变化的不确定性。结果表明，对于这两种检测方法的不确定性在鲸鱼的位置迅速增加后，最初的检测和96小时后，根据鲸鱼的行为状态可以变化的数量级。鲸鱼位置的不确定性在24-48小时内成为视觉和声学检测之间的等效取决于鲸鱼的行为和声学检测范围参数化。这些结果意味着，同时使用视觉和声学检测提供了增强的信息，这种视觉和声学的神秘和高度移动的物种的动态管理。
The United States and Canada employ dynamic management strategies to improve conservation outcomes for the endangered North Atlantic right whale (Eubalaena glacialis). These strategies rely on near real‐time knowledge of whale distribution generated from visual surveys and opportunistic sightings. Near real‐time passive acoustic monitoring (PAM) systems have been operational for many years but acoustic detections of right whales have yet to be incorporated in dynamic management because of concerns over uncertainty in the location of acoustically detected whales. This rationale does not consider whale movement or its contribution to location uncertainty following either visual or acoustic detection. The goal of this study was to estimate uncertainties in right whale location following acoustic and visual detection and identify the timescale at which the uncertainties become similar owing to post‐detection whale movement. We simulated whale movement using an autocorrelated random walk model parameterized to approximate three common right whale behavioral states (traveling, feeding, and socializing). We then used a Monte Carlo approach to estimate whale location over a 96‐hr period given the initial uncertainty from the acoustic and visual detection methods and the evolving uncertainties arising from whale movement. The results demonstrated that for both detection methods the uncertainty in whale location increases rapidly following the initial detection and can vary by an order of magnitude after 96 hr depending on the behavioral state of the whale. The uncertainties in whale location became equivalent between visual and acoustic detections within 24–48 hr depending on whale behavior and acoustic detection range parameterization. These results imply that using both visual and acoustic detections provides enhanced information for the dynamic management of this visually and acoustically cryptic and highly mobile species.
影响因子：
4.6
作者：
Davis GE;Baumgartner MF;Bonnell JM;Bell J;Berchok C;Bort Thornton J;Brault S;Buchanan G;Charif RA;Cholewiak D;Clark CW;Corkeron P;Delarue J;Dudzinski K;Hatch L;Hildebrand J;Hodge L;Klinck H;Kraus S;Martin B;Mellinger DK;Moors-Murphy H;Nieukirk S;Nowacek DP;Parks S;Read AJ;Rice AN;Risch D;Širović A;Soldevilla M;Stafford K;Stanistreet JE;Summers E;Todd S;Warde A;Van Parijs SM
通讯作者：
Van Parijs SM