Insect species richness and biomass in grasslands

Excel-file contains insect and biomass data and environmental predictors as used as model input in the article "<strong>Insects benefit from agri-environmental schemes aiming at grassland extensification</strong>" by Bernd Panassiti, Sebastian Wolfrum, Sabine Birnbeck, Johannes Burmeister, Annette Freibauer, Jerome Moriniere, and Roswitha Walter. The dataset is a result of the project "<em>Evaluation of agri-environmental measures on insect diversity and biomass</em>" carried out by the Bavarian State Research Center for Agriculture (LfL) during 2019-2023. Insect data was collected using Malaise traps in 4 grassland regions in Bavaria, Germany, during 3 sample periods in 2019 (regions Bavarian Forest, eastern Allgäu) and 2020 (regions (Chiemgau uplands, Upper Palatinate Forest). Insect data comprise insect biomass and the species richness of 8 insect groups: Total number of insect species Coleoptera Diptera Hymenoptera Lepidoptera Hemiptera Syrphidae (hover flies) Apiformes (wild bees and honeybees)

本数据集存储于Excel文件中，包含昆虫与生物量数据及环境预测因子，可作为模型输入，用于Bernd Panassiti、Sebastian Wolfrum、Sabine Birnbeck、Johannes Burmeister、Annette Freibauer、Jerome Moriniere及Roswitha Walter合著的题为《旨在推行草地粗放化的农业环境方案对昆虫有益》的学术论文。本数据集源自巴伐利亚州农业科学研究中心（LfL）于2019-2023年间实施的项目《农业环境措施对昆虫多样性与生物量的评估》。研究采用马氏诱捕器（Malaise traps），在德国巴伐利亚州的4个草地区域采集昆虫数据：2019年的3个采样时段覆盖巴伐利亚林山、东阿尔高区域，2020年的采样时段覆盖基姆高高地、上普法尔茨林山区域。昆虫数据涵盖昆虫生物量以及8个昆虫类群的物种丰富度：昆虫总物种数、鞘翅目（Coleoptera）、双翅目（Diptera）、膜翅目（Hymenoptera）、鳞翅目（Lepidoptera）、半翅目（Hemiptera）、食蚜蝇科（Syrphidae，俗称食蚜蝇）、蜂类（Apiformes，包含野生蜂与蜜蜂）。