Zooplankton biomasses from 624 lakes across Canada [2017-2019]

We examined crustacean zooplankton biomass in 624 freshwater lakes spanning 12 ecozones within 6 continental drainage basins as part of the NSERC Canadian Lake Pulse Network project. Lakes were sampled once, over three summers (2017-2018-2019). Zooplankton were collected at the deepest point of each lake using a 100μm mesh Wisconsin net. Zooplankton were anesthetized with CO2 (Alka-Seltzer) and samples were preserved at room temperature in 70% ethanol. Samples were identified to the species level by BSA Environmental Services (Ohio, U.S.A.) using a dissecting microscope (100x to 400x magnification). Species biomasses were calculated by BSA using the mean length of up to 10 measured individuals per taxon per lake (Beisner et al., 2021), and known size/weight relationships for each species (Dumont et al., 1975; McCauley, 1984; Lawrence et al., 1987). The file “zooplankton biomass” contains the biomasses (µg d.w./L) of 102 crustacean zooplankton taxa from 624 lakes across Canada. The file “lake location” contains the location (longitude and latitude coordinates) and respective Ecozone and Continental Basin allocations of the 624 lakes.

作为NSERC加拿大湖泊脉动网络（NSERC Canadian Lake Pulse Network）项目的一部分，我们对覆盖6个大陆流域、12个生态区的624个淡水湖泊中的甲壳类浮游动物生物量开展了调查。本次采样于2017、2018、2019三个夏季完成，每个湖泊仅采样一次。
研究采用网孔孔径为100μm的威斯康星网（Wisconsin net），在各湖泊的最深点位采集浮游动物样本。浮游动物样本先以CO₂麻醉，麻醉剂由阿尔卡-塞尔策泡腾片（Alka-Seltzer）制备产生，随后于室温下用70%乙醇固定保存。
美国俄亥俄州的BSA环境服务公司（BSA Environmental Services）借助放大倍数为100×至400×的体视显微镜，将样本鉴定至物种水平。该机构通过以下方式计算物种生物量：针对每个湖泊中的每个分类单元，测量最多10个个体的体长并计算平均值（Beisner等，2021），再结合各物种已发表的体长-体重关系（Dumont等，1975；McCauley，1984；Lawrence等，1987）完成计算。
"浮游动物生物量"文件包含加拿大全国624个湖泊中102个甲壳类浮游动物分类单元的生物量数据，单位为µg 干重/L。
"湖泊位置"文件则收录了624个湖泊的位置信息（经纬度坐标），以及各湖泊所属的生态区（Ecozone）和大陆流域（Continental Basin）分类。