Department of Biological Sciences, Idaho State University, Pocatello, Idaho, USA.
Environ Manage. 2012 Jan;49(1):242-52. doi: 10.1007/s00267-011-9784-3. Epub 2011 Nov 16.
The Fine Sediment Biotic Index (FSBI) is a regional, stressor-specific biomonitoring index to assess fine sediment (<2 mm) impacts on macroinvertebrate communities in northwestern US streams. We examined previously collected data of benthic macroinvertebrate assemblages and substrate particle sizes for 1,139 streams spanning 16 western US Level III Ecoregions to determine macroinvertebrate sensitivity (mostly at species level) to fine sediment. We developed FSBI for four ecoregion groupings that include nine of the ecoregions. The grouping were: the Coast (Coast Range ecoregion) (136 streams), Northern Mountains (Cascades, N. Rockies, ID Batholith ecoregions) (428 streams), Rockies (Middle Rockies, Southern Rockies ecoregions) (199 streams), and Basin and Plains (Columbia Plateau, Snake River Basin, Northern Basin and Range ecoregions) (262 streams). We excluded rare taxa and taxa identified at coarse taxonomic levels, including Chironomidae. This reduced the 685 taxa from all data sets to 206. Of these 93 exhibited some sensitivity to fine sediment which we classified into four categories: extremely, very, moderately, and slightly sensitive; containing 11, 22, 30, and 30 taxa, respectively. Categories were weighted and a FSBI score calculated by summing the sensitive taxa found in a stream. There were no orders or families that were solely sensitive or resistant to fine sediment. Although, among the three orders commonly regarded as indicators of high water quality, the Plecoptera (5), Trichoptera (3), and Ephemeroptera (2) contained all but one of the species or species groups classified as extremely sensitive. Index validation with an independent data set of 255 streams found FSBI scores to accurately predict both high and low levels of measured fine sediment.
细颗粒生物完整性指数（FSBI）是一种区域性、针对胁迫的生物监测指数，用于评估美国西北部溪流中细颗粒物质（<2 毫米）对大型底栖无脊椎动物群落的影响。我们检查了先前收集的 1139 条溪流的底栖大型无脊椎动物组合和基质颗粒大小的数据，以确定大型无脊椎动物对细颗粒物质的敏感性（主要在物种水平上）。我们为包括 9 个生态区的 4 个生态区分组开发了 FSBI。分组包括：海岸（海岸山脉生态区）（136 条溪流）、北部山脉（喀斯喀特山脉、北落基山脉、爱达荷州岩脉生态区）（428 条溪流）、落基山脉（中落基山脉、南落基山脉生态区）（199 条溪流）和盆地和平原（哥伦比亚高原、蛇河流域、北盆地和山脉生态区）（262 条溪流）。我们排除了稀有分类群和在粗分类水平上鉴定的分类群，包括摇蚊科。这将所有数据集的 685 个分类群减少到 206 个。其中 93 个对细颗粒物质表现出一定的敏感性，我们将其分为四个类别：非常敏感、非常敏感、中度敏感和轻度敏感；分别包含 11、22、30 和 30 个分类群。类别进行加权，并通过计算溪流中发现的敏感分类群的总和来计算 FSBI 得分。没有一个目或科对细颗粒物质完全敏感或完全不敏感。尽管在通常被认为是高水质指示物的三个目中，蜉蝣目（5）、毛翅目（3）和蜉蝣目（2）包含了除一个极敏感物种或物种群外的所有物种或物种群。用 255 条溪流的独立数据集进行的指数验证发现，FSBI 得分能够准确预测测量到的细颗粒物质的高低水平。
