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Environmental conditions and habitat characteristics influence trap and video detection probabilities for reef fish species

机译:环境条件和栖息地特征影响礁鱼种类的陷阱和视频检测概率

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摘要

Monitoring programs often collect presence-absence data to understand range expansions or contractions, metapopulation dynamics, alien species invasions, or spatial and temporal trends in relative abundance. Using the proportion of sites occupied by a species is misleading, however, if surveys routinely fail to detect species that are present. We used chevron traps paired with underwater videos (N = 1555) in a binomial (presence-absence) generalized additive modeling framework to quantify how environmental conditions, habitat characteristics, and the number of individuals at each site (i.e. site abundance) influenced the detection probabilities of economically important reef fish species in the southeastern USA. After accounting for variable site abundance, trap detection probabilities declined 40% for red porgy Pagrus pagrus, 65% for gray triggerfish Balistes capriscus, and 75% for vermilion snapper Rhomboplites aurorubens as percent hard bottom increased from 0 to 100%. Increasing water temperature caused red porgy trap detection probability to decline modestly, while for gray triggerfish and vermilion snapper it increased substantially. Underwater video was more likely to detect black sea bass Centropristis striata, red porgy, and gray triggerfish when site abundance and water clarity were high and the video camera was facing down-current. Using multiple gears simultaneously, we quantified the ways in which predictor variables influenced the sampling process, which will help in designing surveys that maximize detection probability. Our results also suggest that pairing video cameras to trawls, fisheries acoustics, or nets allows for the estimation of detection probabilities.
机译:监视程序通常收集在场数据,以了解范围的扩大或缩小,种群动态,外来物种入侵或相对丰度的时空趋势。但是,如果调查常规无法检测到存在的物种,则使用物种所占站点的比例会产生误导。我们使用人字形陷阱与水下视频(N = 1555)配对的二项式(存在-不存在)通用加性建模框架来量化环境条件,栖息地特征以及每个站点上的个体数量(即站点数量)如何影响检测美国东南部具有重要经济意义的礁鱼种类的概率。在考虑了可变位点的丰度之后,由于硬底百分比从0增至100%,红色稀疏的Pagrus Pagrus陷阱捕获概率下降了40%,灰色引金鱼Balistes capriscus下降了65%,朱红色鲷鱼Rhomboplites aurorubens下降了75%。水温升高导致红色海豚诱捕器的检测概率适度下降,而对于灰色的引金鱼和朱红色鲷鱼则大大增加。当场所丰度和水的清晰度很高并且摄像机面对下行电流时,水下视频更有可能检测到黑鲈Centropristis striata,红色海豚和灰色引金鱼。同时使用多个齿轮,我们量化了预测变量影响采样过程的方式,这将有助于设计使检测概率最大化的调查。我们的结果还表明,将摄像机与拖网,渔业声学或渔网配对可以估算检测概率。

著录项

  • 来源
    《Marine ecology progress series》 |2014年第15期|1-14|共14页
  • 作者单位

    National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC 28516, USA;

    National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC 28516, USA;

    National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC 28516, USA;

    National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC 28516, USA;

    National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC 28516, USA;

    National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC 28516, USA;

    Marine Resources Research Institute, South Carolina Department of Natural Resources, 217 Fort Johnson Road, Charleston, SC 29412, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Detectability; Habitat; Catchability; Survey; GAM; Occupancy; Fishery-independent; Sampling gears;

    机译:可检测性;栖息地;可捕获性;调查;GAM;占用;与渔业无关;采样齿轮;

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