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Development and Application of Benthic Algal Reference Condition Models to Assess Stream Condition in the South Nahanni Watershed

机译：纳哈尼河南流域海底藻类参考条件模型评估水流条件的开发与应用

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摘要

Monitoring biologists continually strive to improve the effectiveness of protocols to quantify environmental and ecological effects of anthropogenic activities. We developed and applied a reference condition approach (RCA) model to assess the ability of 3 descriptors of algal community structure (algal taxonomy, diatom taxonomy, and algal pigments) to identify impairment in 2 northern rivers in the South Nahanni River Watershed, Northwest Territories, Canada. We established reference conditions by sampling 62 regional reference (i.e., minimally disturbed) sites in 2008 (n¼44) and 2009 (n¼18) and assessed the condition of 38 test sites downstream of 2 mines in 2008 (N¼20 sites) and 2009 (N¼18 sites). Patterns of impairment downstream of the 2 mines were assessed and zones of influence were identified for each algal descriptor. Results showed that the 3 RCA models using the 3 descriptors of algal community structure identified reasonably consistent assessments downstream of Prairie Creek mine with changes in algal pigments being more sensitive than the other 2 descriptors. In Flat River, however, assessment of test sites varied considerably depending on the descriptor of algal community structure. Our results suggest that benthic algal RCA models show promise as biological monitoring tools, but additional investigations are required to better understand variance in site assessments among the 3 algal community descriptors.
机译：监测生物学家不断努力提高方案的有效性，以量化人为活动的环境和生态影响。我们开发并应用了参考条件方法（RCA）模型，以评估藻类群落结构的3个描述符（藻类分类法，硅藻分类法和藻类色素）识别西北地区南纳汉尼河流域的2条北部河流的损害的能力，加拿大。我们通过对2008年（n4444）和2009年（n¼18）的62个地区性参考（即受干扰最小）站点进行采样来建立参考条件，并评估了2008年（N¼20站点）和2009（N¼18站点）的两个矿山下游38个测试站点的状况。 。评估了两个矿山下游的损害模式，并确定了每个藻类描述因素的影响区域。结果表明，使用3种藻类群落结构描述符的3个RCA模型确定了草原溪矿下游的合理一致的评估，藻类色素的变化比其他2种描述符更敏感。但是，在Flat River中，对测试地点的评估因藻类群落结构的描述而有很大差异。我们的结果表明，底栖藻类RCA模型显示出作为生物监测工具的前景，但是还需要进行其他调查才能更好地了解3个藻类群落描述子之间的场地评估差异。

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