Quantifying imperfect detection in an invasive pest fish and the implications for conservation management
Quantifying imperfect detection in an invasive pest fish and the implications for conservation management
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DOI：
10.1016/j.biocon.2011.05.008
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发表时间：
2011-09-01
影响因子：
5.9
通讯作者：
Gozlan, Rodolphe E.
中科院分区：
文献类型：
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作者：
Britton, J. Robert;Pegg, Josephine;Gozlan, Rodolphe E.
在管理非本土物种时，监测计划的目标是尽量减少入侵从最初的引入到早期发现而发展的机会。然而，这依赖于监测方法能够检测到低丰度水平的物种，以避免由于检测不完善而产生的假阴性记录。我们通过实地实验调查了在欧洲检测小伪螺旋藻（Pseudorasbora parva）的能力，这是一种高度入侵的有害鱼类，与它们已知的密度和采样方法有关。面积为100 m(2)的安全池塘中群落，小蠊密度为0.02 ~ 5.0 m(-2)，每个密度为3个。使用点样电钓和部署捕鱼器（无饵和有饵）对这些鱼类进行了搜索。在密度为0.5 m（-2）时，没有捕获到鱼，而在密度为5.0 m（-2）时，使用高搜索努力，捕获率仅超过0.95。这些数据表明，在低密度的情况下，细小疟原虫等小型有害鱼类可能容易被不完全检测到，这与许多其他入侵物种是一致的。这表明了利用已知统计能力的方法设计监测方案以优化保护资源支出和提高管理结果的重要性。(C) 2011 Elsevier Ltd.版权所有。
In managing non-native species, surveillance programmes aim to minimise the opportunity for invasions to develop from initial introductions through early detection. However, this is dependent on surveillance methods being able to detect species at low levels of abundance to avoid false-negative recordings through imperfect detection. We investigated through field experimentation the ability to detect Pseudorasbora parva, a highly invasive pest fish in Europe, in relation to their known density and sampling method. Secure pond mesocosms of area 100 m(2) contained P. parva densities from 0.02 to 5.0 m(-2): each density was in triplicate. These were searched using point sampling electric fishing and deployment of fish traps (non-baited and baited). No fish were captured at densities 0.5 m(-2), whereas for electric fishing it only exceeded 0.95 at 5.0 m(-2) using high searching effort. These data reveal that small pest fishes such as P. parva may be prone to imperfect detection when at low densities and this is consistent with a number of other invasive species. This indicates the importance of designing surveillance programmes using methods of known statistical power to optimise conservation resource expenditure and enhance management outcomes. (C) 2011 Elsevier Ltd. All rights reserved.