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A new multimetric macroinvertebrate index for the ecological assessment of Mediterranean lakes

机译:用于地中海湖泊生态评估的新的多尺度大型无脊椎动物指数

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摘要

This study outlines the development and application of a new multimetric index (Greek Lake Benthic macroinvertebrate Index – GLBiI) for the assessment of the ecological quality of Greek lakes, based on the ecological quality ratio (EQR), under the requirements of the Water Framework Directive. Profundal and sublittoral benthic macroinvertebrates from 18 lakes were biannually sampled across Greece. Additionally, 21 environmental parameters and 5 human pressures were assessed for each lake. The hindcasting approach was used for the establishment of reference conditions after minimizing human pressures. A pool of 84 candidate metrics, representing diversity/richness, sensitivity, functional traits, and taxonomical composition, were tested for the development of the multimetric index. Spearman’s rank correlation extracted seven environmental parameters (lake area, mean depth, altitude, alkalinity, dissolved oxygen at bottom and conductivity at bottom) and three human pressures (total phosphorus, population density and non-natural land cover) that were further stepwise linear regressed against each biological metric for pressure-response relationships. Finally, three metrics, the number of taxa and the Simpson's diversity index in the profundal and sublittoral zones, and the relative contribution of Chironomidae (%) family in the profundal zone, were selected as the most appropriate, responding to eutrophication (expressed as total phosphorus and non-natural land cover). The multimetric index GLBiI was expressed as the mean of the EQRs of its metrics following a five class ecological status system. This assessment method may be used in other Mediterranean lakes with similar characteristics.
机译:本研究概述了根据水框架指令的要求,基于生态质量比(EQR)评估希腊湖泊生态质量的新的多指标指标(希腊湖底栖大型无脊椎动物指数– GLBiI)的开发和应用。 。来自希腊的18个湖泊的底栖和底栖底栖大型无脊椎动物被每半年采样一次。此外,每个湖泊还评估了21个环境参数和5个人类压力。在最小化人为压力之后,采用后浇法建立参考条件。测试了84个候选指标的集合,这些指标代表多样性/丰富性,敏感性,功能性状和分类学组成,用于开发多指标索引。 Spearman的等级相关性提取了七个环境参数(湖泊面积,平均深度,高度,碱度,底部溶解氧和底部导电率)和三个人体压力(总磷,人口密度和非自然土地覆盖),并进一步逐步线性回归反对每个生物指标的压力响应关系。最后,选择了三个指标,最适合于富营养化(以总分表示),这三个指标是最合适的,这是最重要的指标,包括在深部和沿海地区的分类单元数量和辛普森多样性指数,以及在深部地区的猫科(%)家族的相对贡献。磷和非自然土地覆盖物)。多指标索引GLBiI表示为遵循五类生态状态系统的指标的EQR平均值。这种评估方法可用于其他具有类似特征的地中海湖泊。

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