Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720, USA.
Environ Manage. 2013 Jun;51(6):1262-73. doi: 10.1007/s00267-013-0057-1. Epub 2013 Apr 26.
Identification of minimally disturbed reference sites is a critical step in developing precise and informative ecological indicators. We tested procedures to select reference 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.
确定受干扰最小的参照点是开发精确且有信息量的生态指标的关键步骤。我们测试了选择参照点的程序,并使用从加利福尼亚州旧金山湾区的 429 个地中海气候溪流中收集的大型无脊椎动物数据集量化了参照条件下的自然变异(站点间和年度间的变异性)。我们确定基于景观 GIS 的胁迫筛选,然后是基于现场的局部胁迫筛选,可以有效地识别受干扰最小的参照点,根据 NMS 排序结果,这些参照点支持的生物群落与仅使用景观(GIS)或局部(现场)胁迫识别的参照点不同。对受干扰最小的参照点的检查表明,站点间的变异性与溪流水文学(即常年流与非常年流)和年降水量密切相关,这突出表明在通过自然梯度建模开发生物指标或为非常年流和常年流使用独特的生物指标时,需要控制这种变化。在 192 个站点中,有 192 个站点在 8 年的研究期间被两次至六次采样,生物群落显示出中等的年度间变异性,生物完整性指数的 100 分指数从 0 到 51 分(平均值为 11.5)不等。方差分量分析表明,与站点水平的变异性相比,年度间的变异性仅解释了总变异性的一小部分(5-18%);因此,努力了解站点之间自然变异的原因将产生更精确和准确的生物指标。