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Counting crayfish: active searching and baited cameras trump conventional hoop netting in detecting Euastacus armatus

机译:小龙虾计数:主动式搜索和诱饵摄像机优于传统的箍网,可检测到ast鱼

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ABSTRACT: Accurate distribution and abundance estimates for rare and endangered species are necessary to ascertain extinction threats and take appropriate conservation measures. Traditional capture-based methods are imperfect for surveying elusive species such as freshwater crayfish in upland streams. We compared estimates of Murray River crayfish Euastacus armatus abundance made via direct visual assessments by snorkel, against baited remote underwater video surveys (BRUVS) and traditional hoop netting conducted in 2 montane river systems. Similar total abundances were recorded via visual survey and BRUVS across 4 sites within 1 river system where E. armatus was relatively common. In contrast, markedly lower values were obtained at these sites via conventional hoop netting methods. In another stream where E. armatus is particularly rare, the only detection of this species was via BRUVS. Average catch per unit effort (CPUE) was highest from active visual surveys (2.99 ind. h−1), followed by BRUVS (0.63) and hoop netting (0.13). Extremely low sampling efficiency from hoop netting was attributed to the short time periods crayfish attended baits (mean ± SE, 387 ± 209 s) relative to the rate of net retrieval (hourly). We conclude that in systems of adequate water clarity, visual surveys and BRUVS provide reliable, non-invasive methods for estimating freshwater crayfish abundance and hold promise particularly for research and monitoring of threatened Euastacus species.
机译:摘要:对稀有和濒危物种的准确分布和丰富度估算对于确定灭绝威胁和采取适当的保护措施是必要的。传统的基于捕获的方法在调查可疑物种(如山地小溪中的淡水小龙虾)方面并不完善。我们将浮潜的直接视觉评估与诱饵的远程水下视频调查(BRUVS)和在2条山地河流系统中进行的传统环网捕捞相比,对墨累河小龙虾的估计值进行了比较。通过视觉调查和BRUVS在1条河流的1个河流系统内的4个站点记录了相似的总丰度。 armatus 比较常见。相反,通过常规的环网方法在这些站点获得的值明显较低。在另一个流中,其中 E。 armatus 尤其罕见,该物种的唯一检测手段是通过BRUVS。主动视觉调查得出的平均单位捕获量(CPUE)最高(2.99 ind。h -1 ),其次是BRUVS(0.63)和环网(0.13)。环网捕捞效率极低的原因是小龙虾捕食饵料的时间较短(平均±SE,387±209 s),相对于网捕捞的速度(每小时)。我们得出结论,在足够的净水系统中,目视调查和BRUVS提供了可靠的,非侵入性的方法来估算淡水小龙虾的丰度,并特别有望用于研究和监测濒危的桉树物种。

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