Cummins Kenneth W, Wilzbach Margaret, Kolouch Brigitte, Merritt Richard
Department of Entomology, Michigan State University, East Lansing, MI 48824, USA.
Department of Fisheries Biology, Humboldt State University, Arcata, CA 95524, USA.
Int J Environ Res Public Health. 2022 Mar 9;19(6):3240. doi: 10.3390/ijerph19063240.
We propose a field procedure for estimating the dry biomass of stream macroinvertebrates. Estimates are calculated using the mean values of the a and b regression coefficients from unpublished data and an extensive review of the relevant literature. The regression equation employed for calculating dry biomass is one that has been extensively used: Y = aX, where Y = mg dry mass of an individual macroinvertebrate; X = mm total body length of an individual macroinvertebrate; a = intercept coefficient of the Y on X regression; and b = slope coefficient Y on X. The procedure was developed for use in the field, but dry mass estimates can also be made on preserved specimens. The case is made for presenting stream macroinvertebrate dry biomass data categorized by functional feeding groups (FFGs) and their component higher level taxa. The tables summarize the FFGs and their food resources, mean regression coefficients, dry biomass estimates for FFG-taxa by size and a comparison of their numerical-to-gravimetric surrogate FFG ratios to predict the stream environmental condition. A sizing template for rapidly sorting macroinvertebrates in the field is described. Thresholds for surrogate FFG ratios that directly predict measured stream ecosystem conditions are described.
我们提出了一种估算溪流大型无脊椎动物干生物量的野外方法。估算值是根据未发表数据以及对相关文献的广泛综述中a和b回归系数的平均值计算得出的。用于计算干生物量的回归方程是一个被广泛使用的方程:Y = aX,其中Y = 单个大型无脊椎动物的干质量(毫克);X = 单个大型无脊椎动物的总体长(毫米);a = Y对X回归的截距系数;b = Y对X的斜率系数。该方法是为野外使用而开发的,但也可以对保存的标本进行干质量估算。文中阐述了按功能摄食类群(FFG)及其组成的高级分类单元对溪流大型无脊椎动物干生物量数据进行分类呈现的理由。表格总结了功能摄食类群及其食物资源、平均回归系数、按大小划分的功能摄食类群 - 分类单元的干生物量估算值,以及它们的数值与重量替代功能摄食类群比率的比较,以预测溪流环境状况。描述了一种在野外快速分类大型无脊椎动物的尺寸模板。阐述了直接预测实测溪流生态系统状况的替代功能摄食类群比率阈值。