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首页> 外文期刊>Environmental bioindicators >Freshwater Inflow Biotic Index (FIBI)for the Lavaca-Colorado Estuary, Texas
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Freshwater Inflow Biotic Index (FIBI)for the Lavaca-Colorado Estuary, Texas

机译:德克萨斯州拉瓦卡-科罗拉多河口的淡水流入生物指数(FIBI)

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Freshwater inflow is an important source of physical variability in estuaries. Effects ofwater flow are dynamic, and it is impossible to sample all conditions as they vary overspace and time. Benthos, however, are fixed in place, continuously sample the overly-ing water conditions, and demonstrate a variety of consistent responses to multiplesources of stress. Benthic indices of biotic integrity (BIBIs) have been particularly use-ful for assessing aquatic systems. However most indices have focused on assessingeffects related to changes in water quality rather than water quantity. This study devel-ops a Freshwater Inflow Biotic Index (FIBI) to determine how changes in freshwaterinflow affect benthic populations, which in turn reflect the ecological condition of anestuary. Based on benthic succession theory and long-term data, 12 biotic metricswere chosen that characterized benthic community structure in response to inflowregimes. The metrics were ranked and then reduced to one variable using principalcomponent analysis (PCA) to form the index. The FIBI and hydrological PC variableswere significantly correlated, indicating that benthic communities respond to changesin salinity and do so in a relatively predictable manner. If inflow is reduced (i.e., salinityincreased), it will cause upstream communities to take on characteristics of down-stream communities. The FIBI successfully characterized effects of a salinity gradientin the Lavaca-Colorado estuary, and application of the FIBI approach should be suc-cessful in other estuarine ecosystems.
机译:淡水流入是河口物理变化的重要来源。水流的影响是动态的,并且不可能对所有条件进行采样,因为它们会随着空间和时间的变化而变化。但是,Benthos固定在适当的位置,连续采样上方的水况,并显示出对多种压力源的各种一致响应。底栖生物完整性指数(BIBIs)在评估水生系统方面特别有用。但是,大多数指标都集中在评估与水质变化(而不是水量)有关的影响上。这项研究开发了一个淡水流入生物指数(FIBI),以确定淡水流入的变化如何影响底栖动物种群,从而反过来反映了河口的生态状况。基于底栖动物演替理论和长期数据,选择了12种生物指标来表征底栖动物群落结构,以应对流入情况。对指标进行排名,然后使用主成分分析(PCA)将其减少为一个变量以形成索引。 FIBI和水文PC变量显着相关,表明底栖生物群落对盐度变化有反应,并且以相对可预测的方式做出反应。如果流入量减少(即盐度增加),它将导致上游社区具有下游社区的特征。 FIBI成功地表征了盐度梯度在拉瓦卡-科罗拉多河口的影响,并且在其他河口生态系统中,FIBI方法的应用应该是成功的。

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