Abstract:
UNASSIGNED: Publication of data from past field studies on invertebrate populations is of high importance, as there is much added value for them to be used as baselines to study spatiotemporal population and community dynamics in these groups. Therefore, a dataset consisting of occurrence data on epigaeic invertebrates collected in 1996 was standardised into the Darwin core format and cross-checked in order to make it publicly available following FAIR data principles. With publication, it can contribute to the biodiversity assessment of terrestrial invertebrates, thereby improving the availability and accessibility of much-needed historical datasets on macro-invertebrates.Here, we present sampling event data on invertebrates from four grasslands taken out of agricultural production over the span of several decades, effectively displaying a chronosequence on the effects of agricultural extensification. The data were collected by means of a standardised sampling design using pyramid traps, pitfall traps and soil samples.
UNASSIGNED: The raw data presented in this data paper have not been published before. They consist of 20,000+ records of nearly 70,000 specimens from 121 taxonomic groups. The data were collected using a standardised field study set-up and specimens were identified by taxonomic specialists. Most groups were identified up to family level, with eight groups identified up to species level. The occurrence data are complemented by information on plant composition, meteorological data and soil physical characteristics. The dataset has been registered in the Global Biodiversity Information Facility (GBIF): http://doi.org/10.15468/7n499e.
摘要:
■公布过去对无脊椎动物种群的实地研究数据非常重要,因为它们被用作研究这些群体的时空人口和社区动态的基线有很大的附加值。因此,一个由1996年收集的表观无脊椎动物发生数据组成的数据集被标准化为达尔文核心格式,并进行交叉检查,以便按照FAIR数据原则公开提供。随着出版物,它可以有助于陆地无脊椎动物的生物多样性评估,从而提高宏无脊椎动物急需的历史数据集的可用性和可访问性。这里,我们提供了几十年来从农业生产中撤出的四个草原的无脊椎动物的采样事件数据,有效地显示了农业扩张效果的时间序列。数据是通过使用金字塔陷阱的标准化采样设计收集的,陷阱和土壤样本。
■本数据文件中提供的原始数据之前尚未发布。它们由来自121个分类组的近70,000个样本的20,000个记录组成。使用标准化的现场研究设置收集数据,并由分类学专家鉴定标本。大多数群体都是在家庭层面确定的,确定了八个物种级别。发生数据由植物组成信息补充,气象数据和土壤物理特征。该数据集已在全球生物多样性信息设施(GBIF)中注册:http://doi.org/10.15468/7n499e。