TREAM: Time series of freshwater macroinvertebrate abundances and site characteristics of European streams and rivers

Freshwater macroinvertebrates are a diverse group that play many key ecological roles, including accelerating nutrient cycling, filtering water, controlling aquatic primary producers, and providing food for predators. Since they rapidly respond to environmental changes, macroinvertebrate community composition is a commonly used indicator of water quality. In Europe, efforts to improve water quality following environmental legislation, primarily starting in the 1980s, may have driven a recovery of macroinvertebrate communities. Towards understanding temporal changes of these organisms, we compiled the TREAM database (Time seRies of European freshwAter Macroinvertebrates). The TREAM database consists of whole macroinvertebrate community time series from 1,816 river and stream sites (mean length of 19.2 years with 14.9 sampling years) of 22 European countries sampled between 1968 and 2020. In total, the data include >93 million sampled individuals of 2,648 taxa from 959 genera and 212 families. These data can be used to ask a wide range of questions from identifying drivers of the population dynamics of specific taxa to assessing the success of legislative and management restoration efforts.

淡水大型无脊椎动物（Freshwater macroinvertebrates）是一类物种丰富的类群，承担着多项关键生态功能：包括加速养分循环、净化水体、调控水生初级生产者群落，以及为捕食者提供食物资源。由于该类群对环境变化响应极为迅速，其群落组成已成为应用广泛的水质监测指标。在欧洲，自20世纪80年代起依托环境立法推进的水质改善举措，或已推动当地大型无脊椎动物群落的恢复。为解析此类生物的时间动态变化，我们构建了TREAM数据库（Time seRies of European freshwAter Macroinvertebrates，欧洲淡水大型无脊椎动物时间序列数据库）。该数据库收录了来自22个欧洲国家、1816个河流与溪流点位的完整大型无脊椎动物群落时间序列数据，采样时段覆盖1968年至2020年，各点位的监测平均时长为19.2年，其中有效采样年份为14.9年。该数据集总计涵盖隶属于959个属、212个科的2648个分类单元，累计采样个体数超9300万。此类数据可支撑多维度研究：既可以探究特定分类单元种群动态的驱动机制，也可评估环境立法与生态修复管理措施的实施成效。

搜集汇总

背景与挑战

背景概述

TREAM数据集是一个欧洲淡水大型无脊椎动物的长期时间序列数据库，涵盖1968年至2020年间22个国家的1,816个河流站点，包含超过9300万个个体和2,648个分类单元。该数据集整合了生物多样性数据（如丰度和物种丰富度）和环境变量（如温度、降水、土地利用），旨在支持水质评估、生态恢复效果分析和种群动态研究。