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Passive Acoustic Monitoring (PAM) in the Southern Ocean:udthree generations of autonomous recorders in a basin wide array

机译:南大洋的被动声学监测(pam): ud三代自治记录仪在盆地广泛

摘要

Passive acoustic monitoring (PAM) has emerged as a highly efficient technology to conduct long-term monitoring of marine mammals at species dependent, local to basinudscales, providing valuable new insights into species distributions and migration patterns. To study Antarctic mammals, we deployed up to ten moored, autonomousudacoustic recorders in the Atlantic sector of the Southern Ocean. Due to this region’s remoteness, challenging accessibility, and ensuing logistic constraints, especiallyudduring winter, recording devices were/are deployed for two years or longer, resulting in high demands on their power efficiency and storage capability.udTwo types of recorders, AURAL and MARU, which were deployed in March 2008 and December 2008, respectively, were recovered in December 2010. More recently, a set ofudeight, newly developed recorders (SONOVAULT), were deployed in December 2010, and are scheduled for recovery in December 2012. While in-situ recordings are henceudavailable for AURAL and MARU, for SONOVAULTs extensive laboratory tests have been performed. Based on these recordings, this paper provides a user-based comparisonudof these three types of acoustic recorders, discussing their technical specifications and limitations (including recent enhancements) along with their actual performanceudand data quality. The paper concludes with a discussion of future needs for long-term monitoring applications along with each instrument’s potential to meet suchudrequirements.
机译:无源声波监测(PAM)已成为一种高效的技术,可以对流域本地到水下的各种物种进行海洋哺乳动物的长期监测,从而为了解物种分布和迁移模式提供了宝贵的新见识。为了研究南极哺乳动物,我们在南大洋的大西洋地区部署了多达十个系泊的,自主的惯用的记录仪。由于该地区的偏远地区,难以到达的交通以及随之而来的物流限制,尤其是在 udd冬季,记录设备被部署了两年或更长时间,因此对其功率效率和存储能力提出了很高的要求。 ud两种类型的记录器,AURAL和MARU分别于2008年3月和2008年12月部署,并于2010年12月恢复。最近,一组 udeight的新开发的记录器(SONOVAULT)于2010年12月部署,并计划于12月恢复。 2012。因此,对于AURAL和MARU来说,就地录音是可行的,而对于SONOVAULT,已经进行了广泛的实验室测试。基于这些录音,本文对这三种类型的录音机进行了基于用户的比较 ud,讨论了它们的技术规格和局限性(包括最近的增强)以及它们的实际性能 ud和数据质量。本文最后讨论了长期监控应用程序的未来需求,以及每种仪器满足此类超需求的潜力。

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