Backpack electrofishing effort and imperfect detection: Influence on riverine fish inventories and monitoring
Backpack electrofishing effort and imperfect detection: Influence on riverine fish inventories and monitoring
复制标题
背包式电捕鱼努力和不完善的检测：对河流鱼类库存和监测的影响
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
T. Haxton
中科院分区：
文献类型：
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作者：
S. Reid;T. Haxton
概括
增加电捕鱼采样工作将提高河流鱼类的检测概率。在本研究中，在安大略省（加拿大）的中小型河流中使用了重复采样方法来估计：（i）淡水鱼类特定物种的检测概率，（ii）自信地检测物种所需的采样事件数量，以及（iii）定时搜索调查检测未来分布（或占有率）下降的能力。在 2013 年和 2014 年夏季低流量期间的四个不同日期，使用背包式电渔机对 36 个地点的涉水栖息地进行了采样。收集了 42 个物种，其中包括 3 个受保护物种（美国鳗鲡 Anguilla rostrata Lacepede，1802 年、斑点鲈 Percina coplandi Jordan，1877 年、北方翻车鱼 Lepomis peltastes Cope、 1870），以及 两个重要的休闲物种（大口黑鲈 Micropterus salmoides Lacepede, 1802 和小口黑鲈 Micropterus dolomieu Lacepede, 1802）。使用分层贝叶斯建模方法来估计 18 个物种在四个努力水平（250、500、750 和 1,000 秒）下的检测概率和站点占用率。在所有情况下，物种检测都是不完善的。搜索工作对检测概率和站点占用率的估计以及检测未来分布下降的能力产生了积极影响。 250 秒的检测概率范围为 0.11 至 0.66，1,000 秒的检测概率范围为 0.27 至 0.92。对于 13 个物种，通过将采样时间从 250 秒增加到 750 秒或 1,000 秒，检测和检测分布变化的能力得到了显着提高。对于鲈鱼和北方翻车鱼，建议进行 3 次重复采样访问（持续时间为 750 或 1,000 秒）以进行可靠检测。
Summary
An increased electrofishing sampling effort will increase detection probabilities of riverine fishes. In this study, a repeat-sampling approach was used in small to medium-sized Ontario (Canada) rivers to estimate: (i) species-specific detection probabilities of freshwater fishes, (ii) the number of sampling events required to confidently detect species, and (iii) the power of timed-search surveys to detect future distribution (or occupancy) declines. Wadeable habitats at 36 sites were sampled with a backpack electrofisher on four separate dates during the summer low-flow period in 2013 and 2014. Forty-two species were collected, including three species of conservation concern (American eel Anguilla rostrata Lacepede, 1802, channel darter Percina copelandi Jordan, 1877, northern sunfish Lepomis peltastes Cope, 1870), and two recreationally important species (largemouth bass Micropterus salmoides Lacepede, 1802 and smallmouth bass Micropterus dolomieu Lacepede, 1802). A hierarchical Bayesian modelling approach was used to estimate detection probabilities and site occupancy for 18 species at four levels of effort: 250, 500, 750 and 1,000 s. In all cases, species detection was imperfect. Search effort had a positive effect on estimates of detection probability and site occupancy and the power to detect declines in future distribution. Detection probabilities ranged from 0.11 to 0.66 with an effort of 250 s, and 0.27 to 0.92 with an effort of 1,000 s. For 13 species, detection and power to detect changes in distribution were significantly improved by increasing sampling effort from 250 to 750 s or 1,000 s. For the channel darter and northern sunfish, three replicate sampling visits (of 750 or 1,000 s duration) are recommended for confident detection.