{"title":"Smartphones as a Non-Invasive Surveying Tool to Monitor Bats","authors":"Amanda-Jean Blackburn, S. Unger","doi":"10.22186/jyi.37.3.24-30","DOIUrl":null,"url":null,"abstract":"ic calls emitted while foraging for insects (Fenton and Simmons, 2014). As each species has distinct echolocation call morphologies, identification of these calls can be accomplished via standard acoustic monitoring technology and software. Previously, this has been expensive ( > $5,000 USD), therefore most citizen scientists would have limited access this technology. In addition, handling of bats for species identification requires permitting by local state and federal agencies, as well as any handler to possess current rabies vaccinations. Bats are capable of inhabiting a variety of roosting sites in both natural and manmade structures (Kunz and Lumsden, 2003). However, many communities and state parks typically improve available roosting habitats for bats by deploying multi-chambered bat boxes, to create artificial roosting habitats that bats may occupy throughout the year (Tuttle et al., 2013). Occupancy of these bat boxes can be affected by canopy cover, box design, level of human disturbance, and adequate solar exposure (White, 2004, Rueegger et al., 2018). Moreover, not all species are likely to use bat boxes at equal frequencies (Griffiths et al., 2017). However, little attention has been given to more recent methods for either more affordable bat species identification or monitoring of deployed bat boxes using non-invasive smartphone technology. These technologies can help increase the amount of available data on bat species presence and habitat use in urban environments. Smartphones have become increasingly utilized for data collection in environmental sciences by both citizen scientists and researchers (Gutowsky et al., 2013, Frigerio et al., 2018, Stitt et al., 2019), for the identification of flora and fauna incorporating geographic location and pattern recognition applications such as iNaturalist (Nugent, 2018). Several smartphone-based research devices have recently become Smartphones as a Non-Invasive Surveying Tool to Monitor Bats","PeriodicalId":74021,"journal":{"name":"Journal of young investigators","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of young investigators","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22186/jyi.37.3.24-30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
ic calls emitted while foraging for insects (Fenton and Simmons, 2014). As each species has distinct echolocation call morphologies, identification of these calls can be accomplished via standard acoustic monitoring technology and software. Previously, this has been expensive ( > $5,000 USD), therefore most citizen scientists would have limited access this technology. In addition, handling of bats for species identification requires permitting by local state and federal agencies, as well as any handler to possess current rabies vaccinations. Bats are capable of inhabiting a variety of roosting sites in both natural and manmade structures (Kunz and Lumsden, 2003). However, many communities and state parks typically improve available roosting habitats for bats by deploying multi-chambered bat boxes, to create artificial roosting habitats that bats may occupy throughout the year (Tuttle et al., 2013). Occupancy of these bat boxes can be affected by canopy cover, box design, level of human disturbance, and adequate solar exposure (White, 2004, Rueegger et al., 2018). Moreover, not all species are likely to use bat boxes at equal frequencies (Griffiths et al., 2017). However, little attention has been given to more recent methods for either more affordable bat species identification or monitoring of deployed bat boxes using non-invasive smartphone technology. These technologies can help increase the amount of available data on bat species presence and habitat use in urban environments. Smartphones have become increasingly utilized for data collection in environmental sciences by both citizen scientists and researchers (Gutowsky et al., 2013, Frigerio et al., 2018, Stitt et al., 2019), for the identification of flora and fauna incorporating geographic location and pattern recognition applications such as iNaturalist (Nugent, 2018). Several smartphone-based research devices have recently become Smartphones as a Non-Invasive Surveying Tool to Monitor Bats
觅食昆虫时发出的ic叫声(Fenton和Simmons,2014)。由于每个物种都有不同的回声定位叫声形态,可以通过标准的声学监测技术和软件来识别这些叫声。以前,这是昂贵的(>5000美元),因此大多数公民科学家获得这项技术的机会有限。此外,处理蝙蝠以进行物种识别需要获得当地州和联邦机构的许可,以及任何处理者持有当前狂犬病疫苗的许可。蝙蝠能够栖息在各种自然和人造结构的栖息场所(Kunz和Lumsden,2003)。然而,许多社区和州立公园通常通过部署多室蝙蝠箱来改善蝙蝠的可用栖息栖息地,以创造蝙蝠全年可能占据的人工栖息栖息地(Tuttle等人,2013)。这些蝙蝠箱的占用情况可能会受到雨棚、箱的设计、人类干扰程度和充足的阳光照射的影响(White,2004,Rueegger等人,2018)。此外,并非所有物种都可能以相同的频率使用蝙蝠箱(Griffiths等人,2017)。然而,人们很少关注最近的方法,这些方法要么是更实惠的蝙蝠物种识别,要么是使用非侵入式智能手机技术监测部署的蝙蝠箱。这些技术可以帮助增加蝙蝠物种在城市环境中的存在和栖息地使用的可用数据量。公民科学家和研究人员越来越多地将智能手机用于环境科学中的数据收集(Gutowsky et al.,2013,Frigerio et al.,2018,Stitt et al.,2019),用于识别动植物,结合地理位置和模式识别应用,如iNaturalist(Nugent,2018)。最近,一些基于智能手机的研究设备已成为智能手机,成为监测蝙蝠的非侵入性测量工具