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Identifying Reference Conditions and Quantifying Biological Variability Within Benthic Macroinvertebrate Communities in Perennial and Non-perennial Northern California Streams

机译:在北加州多年生和非多年生河流底栖大型无脊椎动物群落中确定参考条件并量化生物变异性

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Identification of minimally disturbed reference sites is a critical step in developing precise and informative scological indicators. We tested procedures to select ref-srence sites, and quantified natural variation (inter-site and -annual variability) among reference conditions using a macroinvertebrate data set collected from 429 mediterranean-climate stream reaches in the San Francisco Bay Area, California (USA). We determined that a landscape GIS-based stressor screen followed by a local field-based stressor screen effectively identified least-disturbed reference sites that, based on NMS ordination results, supported different biological communities than sites identified with only landscape (GIS) or local (field) stressors. An examination of least-disturbed reference sites indicated that inter-site variability was strongly associated with stream hydrology (i.e., perennial vs. non-perennial flow) and annual precipitation, which highlights the need to control for such variation when developing biological indicators through natural gradient modeling or using unique biological indicators for both non-perennial and perennial streams. Metrics were more variable among non-perennial streams, indicating that additional modeling may be needed to develop precise biological indicators for non-perennial streams. Among 192 sites sampled two to six times over the 8-year study period, the biological community showed moderate inter-annual variability, with the 100 point index of biotic integrity scores varying from 0 to 51 points (mean = 11.5). Variance components analysis indicated that inter-annual variability explained only a fraction (5-18 %) of the total variation when compared against site-level variation; thus efforts to understand causes of natural variation between sites will produce more precise and accurate biological indicators.
机译:识别受干扰最小的参考位点是开发精确而信息丰富的生态指标的关键步骤。我们使用从加利福尼亚州旧金山湾地区的429个地中海气候流域收集的大型无脊椎动物数据集,测试了选择参考点的程序以及参考条件之间的定量自然变化(站点间和年度变化)。 。我们确定,基于景观GIS的应激物筛选器和基于本地场的应激物筛选器可以有效地识别出受干扰最少的参考站点,该参考站点基于NMS排序结果,与仅由风景(GIS)或本地(场)压力源。对受干扰最少的参考站点的检查表明,站点间的可变性与河流水文学(即多年生流量与非多年生流量)和年降水量密切相关,这凸显了在通过自然开发生物指标时需要控制这种变化梯度建模或针对非多年生和多年生河流使用独特的生物学指标。指标在非多年生河流中变化更大,这表明可能需要额外的模型来开发非多年生河流的精确生物学指标。在为期8年的研究期间,在192个采样点进行了2至6次采样,其中生物群落显示出中等的年际变化,其100%的生物完整性评分指数从0至51分不等(平均值= 11.5)。方差成分分析表明,与站点水平的变化相比,年际变化仅解释了总变化的一小部分(5-18%)。因此,努力了解站点之间自然变异的原因将产生更加精确的生物学指标。

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