Ecology and Ecological Informatics Laboratory, Department of Biology, College of Science, Kyung Hee University, Seoul, 02447, Republic of Korea.
Sci Data. 2023 Nov 28;10(1):838. doi: 10.1038/s41597-023-02678-y.
Functional traits are the result of evolution and adaptation, providing important ecological insights into how organisms interact with their environment. Benthic macroinvertebrates, in particular, have garnered attention as biomonitoring indicators for freshwater ecosystems. This study presents a functional trait dataset for benthic macroinvertebrates, comprising 447 taxa (393 at genus level, 53 at family level and one at class level) from five phyla (Annelida, Arthropoda, Mollusca, Nematomorpha, and Platyhelmenthes), categorized into nine traits related to life history, morphology, and habit. To account for variation in available trait information, we assigned confidence levels to each taxon and functional trait based on the level of evidence using fuzzy coding. Our dataset provides an important resource for understanding the ecology of benthic macroinvertebrates in South Korea, serving as a valuable baseline dataset for studying their biodiversity, conservation, and biomonitoring in freshwater ecosystems.
功能特征是进化和适应的结果，为了解生物与环境的相互作用提供了重要的生态学见解。特别是底栖大型无脊椎动物，作为淡水生态系统的生物监测指标引起了人们的关注。本研究提出了一个底栖大型无脊椎动物的功能特征数据集，包含来自五个门（环节动物门、节肢动物门、软体动物门、线虫动物门和扁形动物门）的 447 个分类单元（393 个属水平，53 个科水平，1 个纲水平），分为与生活史、形态和习性相关的九个特征。为了考虑可用特征信息的变化，我们根据证据水平使用模糊编码为每个分类单元和功能特征分配置信水平。我们的数据集为了解韩国底栖大型无脊椎动物的生态学提供了重要资源，为研究其在淡水生态系统中的生物多样性、保护和生物监测提供了有价值的基线数据集。
