Thomas Kathryn E, Hall Roland I, Scrimgeour Garry J
Department of Biology, University of Waterloo, Waterloo, Ontario, Canada.
Present address: Environment and Climate Change Canada, Canada Centre for Inland Waters, Burlington, Ontario.
Integr Environ Assess Manag. 2017 Jul;13(4):728-745. doi: 10.1002/ieam.1863. Epub 2017 Jan 19.
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 (n = 44) and 2009 (n = 18) and assessed the condition of 38 test sites downstream of 2 mines in 2008 (N = 20 sites) and 2009 (N = 18 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. Integr Environ Assess Manag 2017;13:728-745. © 2016 SETAC.
监测生物学家不断努力提高协议的有效性,以量化人为活动对环境和生态的影响。我们开发并应用了一种参考条件方法(RCA)模型,来评估藻类群落结构的3个描述符(藻类分类学、硅藻分类学和藻类色素)识别加拿大西北地区南纳汉尼河流域两条北部河流中生态损害的能力。我们通过在2008年(n = 44)和2009年(n = 18)对62个区域参考(即受干扰最小)站点进行采样来确定参考条件,并在2008年(N = 20个站点)和2009年(N = 18个站点)评估了两座矿山下游38个测试站点的状况。评估了两座矿山下游的损害模式,并为每个藻类描述符确定了影响区域。结果表明,使用藻类群落结构的3个描述符的3个RCA模型在草原溪矿下游识别出了合理一致的评估结果,藻类色素的变化比其他2个描述符更敏感。然而,在弗拉特河,测试站点的评估结果因藻类群落结构的描述符而异。我们的结果表明,底栖藻类RCA模型作为生物监测工具具有潜力,但需要进一步研究以更好地理解3个藻类群落描述符之间站点评估的差异。《综合环境评估与管理》2017年;13:728 - 745。© 2016 SETAC。