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首页> 外文期刊>Environmental toxicology and chemistry >Predicting levels of stress from biological assessment data: empirical models from the eastern corn belt plains, Ohio, USA
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Predicting levels of stress from biological assessment data: empirical models from the eastern corn belt plains, Ohio, USA

机译:根据生物学评估数据预测压力水平:美国俄亥俄州东部玉米带平原的经验模型

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摘要

INterest is increasing in using biological community data to provide information on the specific types of anthropogenic influences impacting streams. We built empirical models that predict the level of six different types of stress with fish and benthic macroinvertebrate data as explanatory variables. Significant models were found for six stressor factors: stream corridor structure; siltation: total suspended solids(TSS), biochemical oxygen demand(BOD), and iron(Fe); chemical oxygen demand(COD) and BOD; zinc (Zn) and lead (Pb); and nitrate and nitrite(NO_x) and phosphorus (P).
机译:使用生物群落数据来提供有关影响河流的特定类型的人为影响的信息的兴趣正在增加。我们建立了以鱼和底栖大型无脊椎动物数据作为解释变量来预测六种不同类型压力水平的经验模型。发现了六个压力因素的重要模型:河道走廊结构;河床走廊结构;河床结构。淤积:总悬浮固体(TSS),生化需氧量(BOD)和铁(Fe);化学需氧量(COD)和BOD;锌(Zn)和铅(Pb);硝酸盐,亚硝酸盐(NO_x)和磷(P)。

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