Drivers of viral prevalence in landscape-scale pollinator networks across Europe: Honey bee viral density, niche overlap with this reservoir host and network architecture
收藏DataONE2025-10-29 更新2025-11-01 收录
下载链接:
https://search.dataone.org/view/sha256:e6b08932ca20fefd5b195f3388ea32fbc79a8bab6b81432b6db8c0b088385a71
下载链接
链接失效反馈官方服务:
资源简介:
We looked at 144 plant-pollinator networks from 48 sites divided over 4 countries along an urbanization and agricultural intensification gradient to assess how landscape, honey bees, and plant-pollinator network structure affect the prevalence and load of three honeybee RNA viruses (DWV-A, DWV-B, and BQCV) in wild bees and hoverflies. We provide information on plant-pollinator interactions, land use in the study landscapes, plant-pollinator network structure, niche overlap between wild bees and honeybees, and data on prevalence and load of analyzed honeybees and wild pollinators. The R code used for statistical analysis and creation of figures in the accompanying paper is also provided.
, , , # Data from: Drivers of viral prevalence in landscape-scale pollinator networks across Europe: Honey bee viral density, niche overlap with this reservoir host and network architecture
We analysed plant-pollinator networks in 48 landscapes over 4 countries (France, Germany, Poland, Switzerland), during three sampling rounds (144 visits in total), and looked at plant-pollinator network structure and how this affected the presence of three types of RNA virus in wild pollinators (DWV-A, DWV-B, and BQCV). We analyzed plant-pollinator network structure, the presence of viruses, landscape composition, and vegetation. The dataset does not contain any threatened species. All missing data represented as NA.
#### Description of the data and file structure
This dataset contains information on raw landscape composition, plant-pollinator interactions, vegetation composition and viral analysis of pollinators. All data is contained in the zipped folder \"Raw_data_Proesmans_ea_EL.zip\".
Contains follo...,
本研究沿城市化与农业集约化梯度,选取覆盖4个国家的48个研究样地,共获取144个植物-传粉者网络数据集,旨在评估景观特征、蜜蜂以及植物-传粉者网络结构如何影响野生蜜蜂与食蚜蝇体内三种蜜蜂RNA病毒(DWV-A、DWV-B与BQCV)的感染率与病毒载量。本数据集涵盖植物-传粉者互作信息、研究样地的土地利用数据、植物-传粉者网络结构参数、野生蜜蜂与蜜蜂间的生态位重叠数据,以及经检测的蜜蜂与野生传粉者的病毒感染率和载量数据。本研究同时提供了配套论文中用于统计分析与图表绘制的R代码。
# 数据来源:欧洲景观尺度传粉者网络中病毒感染率的驱动因素:蜜蜂病毒载量、与该贮存宿主的生态位重叠及网络架构
本研究对覆盖4个国家(法国、德国、波兰、瑞士)的48个景观样地开展了3轮采样(总计144次调查),分析了植物-传粉者网络结构,以及该结构如何影响野生传粉者体内三种RNA病毒(DWV-A、DWV-B与BQCV)的感染情况。研究内容涵盖植物-传粉者网络结构、病毒感染情况、景观组成与植被特征。本数据集未包含任何受威胁物种,所有缺失数据均以NA标记。
#### 数据与文件结构说明
本数据集包含原始景观组成、植物-传粉者互作、植被组成以及传粉者病毒检测相关数据。所有数据均存储于压缩文件夹"Raw_data_Proesmans_ea_EL.zip"中。本数据集包含以下内容(后续内容略)
创建时间:
2025-10-30



