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“分类替代”和“分类充分性”概念在养鱼环境监测中的应用。BOPA指数与多毛类动物组合结构的比较。

Application of "taxocene surrogation" and "taxonomic sufficiency" concepts to fish farming environmental monitoring. Comparison of BOPA index versus polychaete assemblage structure.

作者信息

Aguado-Giménez F, Gairín J I, Martinez-Garcia E, Fernandez-Gonzalez V, Ballester Moltó M, Cerezo-Valverde J, Sanchez-Jerez P

机构信息

Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA), Estación de Acuicultura Marina, Puerto de San Pedro del Pinatar, 30740, Murcia, Spain.

IRTA Investigación y Tecnología Agroalimentaria, Ctra, De Poblenou Km 5.5, 43450, Sant Carlos de la Rápita, Tarragona, Spain.

出版信息

Mar Environ Res. 2015 Feb;103:27-35. doi: 10.1016/j.marenvres.2014.10.006. Epub 2014 Nov 1.

Abstract

"Taxocene surrogation" and "taxonomic sufficiency" concepts were applied to the monitoring of soft bottoms macrobenthic assemblages influenced by fish farming following two approaches. Polychaete assemblage evaluation through multivariate analysis and the benthic index BOPA were compared. Six fish farms along the Spanish Mediterranean coast were monitored. Polychaete assemblage provided a suitable picture of the impact gradient, being correlated with total free sulphides. BOPA did not support the impact gradient described by the polychaete assemblage, providing erroneous categorizations. The inclusion of several polychaete families, which were locally identified as indicative of affection to recalculate BOPA, resulted in an improved diagnosis and correlation with the impact gradient. Nevertheless, frequent misclassifications occurred. These results suggest that the structure of polychaete families, sulphides and granulometry conform an appropriate strategy for fish farming monitoring. Biotic indices need to be specifically designed for concrete activities, and regionally validated, because of the environmental plasticity of benthic invertebrates.

摘要

“分类替代”和“分类充分性”概念通过两种方法应用于受养鱼业影响的软底大型底栖动物群落监测。通过多变量分析对多毛类动物群落评估和底栖生物指数BOPA进行了比较。对西班牙地中海沿岸的六个养鱼场进行了监测。多毛类动物群落提供了一个合适的影响梯度图景,与总游离硫化物相关。BOPA不支持多毛类动物群落描述的影响梯度,给出了错误的分类。纳入几个在当地被确定为受影响指示物种的多毛类动物科来重新计算BOPA,结果改善了诊断并与影响梯度相关。然而,仍频繁出现错误分类。这些结果表明,多毛类动物科的结构、硫化物和粒度构成了一种适用于养鱼业监测的策略。由于底栖无脊椎动物的环境可塑性,生物指数需要针对具体活动进行专门设计并在区域内进行验证。

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