https://researchdata.se/en/catalogue Search results en This study makes part of the research project GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. The aim of the project was to quantify whether linear infrastructure habitats (road verges and power-line corridors) support biodiversity by assessing the influence of the area of these habitats in the landscape, their contribution to landscape connectivity and population persistence. The linked data was collected by surveying bumblebee queens during the spring and late summer in 20 sites in Uppland, Sweden. The sites were paired such that half of them had a high flowering plant diversity in the road verge and a gradient in traffic intensity from ~100 to ~6000 vehicles per day, and the other half had a similar gradient in traffic intensity but low flowering plant diversity in the road verge (i.e. regular grass dominated road verges). The surveyor walked a 2 km transect (1 km in each side of the road) and recorded all dead and alive bumblebee queens. The data set consists of 403 observations. Each observation corresponds to an observed bumblebee queen, whether they were found dead or alive and what behaviour they presented when observed. The data was gathered in 4 visits, 2 in spring and 2 in the late summer. Weather information is also present in the dataset, as well as information regarding the average width of the road verge. The data file Queen_mortality_and_behaviour.csv contains 403 rows and 12 columns. See the general description and the documentation file for more information. Thu, 30 Jun 2022 13:58:00 GMT https://researchdata.se/en/catalogue/dataset/2022-50-1 https://researchdata.se/en/catalogue/dataset/2022-50-1 Swedish University of Agricultural Sciences Juliana Dániel-Ferreira Åsa Berggren Riccardo Bommarco Jörgen Wissman Erik Öckinger Nature's Calendar (www.naturenskalender.se, in Swedish only) is run by the Swedish National Phenology Network, a consortium of Swedish universities, governmental agencies and NGO:s. The Swedish University of Agricultural Sciences hosts the network. The main task for the Nature's calendar is to collect observations of different spring and autumn signs appearing during the vegetation season. Data about the nature's calendar is collected in two ways, the long-term environmental monitoring through "Calendars", where phenological observations are reported all through the year, and through "Checks", where phenology observations are reported during short-time campaigns, giving a snapshot of the phenological status at a certain time of the year. The long-term environmental monitoring is performed by citizen scientists and professional observers at research stations and like. Three calendars have been launched in the Nature's Calendar; the Plant's Calendar (from 2008), the Bird's Calendar (from 2016) and the Beekeeper's Calendar (between 2015 and 2018). Aims Phenological changes in nature gives the most obvious signs of the biological effect of climate change. Spring signs, autumn signs, the start, end and length of the growing season, and many other signs in nature are basic properties of ecosystems. Also, the interaction between different organisms, e.g. flowering plants and pollinators, are affected if the nature's calendar changes. Observations reported to the Nature's Calendar can be compared to similar observations collected for more than 100 years ago (see Swedish Historical Phenology Dataset, published in another place at this platform), to detect evidence of phenological shifts over time that can be connected to climate change. The aim of the Nature's Calendar is to collect phenological data from the first spring sign to the last autumn sign, to be able to offer nation-wide data to everyone interested, to facilitate research, environmental assessments, the evaluation of environmental goals, etc, to be better prepared to meet the effects of climate change. For example, the data collected in Nature's Calendar is continuously used to evaluate the Swedish environmental objective Reduced Climate through the indicator called ”Growing Season” (www.slu.se/vaxternasvaxtsasong). Three datasets are made available through SND: the Plant's Calendar, the Beekeeper's Calendar and the Spring Check datasets. They all originate from the same database in the Nature's Calendar, while the Bird's Calendar observations are published through the Swedish Species Observation System Portal (www.artportalen.se). In the Beekeeper's Calendar, Citizen Scientists have reported observations of how - flowering of plants - bees and bumblebees flights - living status of the colony - supplemental feeding - angel ball status - honey production - tax box additions - presence of varroa mite have developed during the growing season. The aim with the data collection is to obtain nationwide data that can provide information to understand, track changes and predict effects of climate change on beekeeping in Sweden. The dataset includes one file with observation data (beekeepers_calendar_2015-2021.csv), one PDF file (metadata_beekeepers_calendar_2015-2021.pdf) with metadata that describes how the included parameters should be interpreted and lists of included species and phases, and one PDF file (bikalendern_fenologimanual_2015.pdf) which is the instruction given to the observers (in Swedish, only). The observation data file includes totally 1 948 observations, which are specific for the Beekeeper's Calendar. The observation data file could be used as is, while the other files are supporting material for the understanding of the observation data file. As this dataset only includes observations made of the activities in the bee hive, the dataset "Nature's Calendar - Plant's Calendar", found as a separate dataset in this publication, is also needed, to be able to fully evaluate this dataset, especially when analyzing interactions between the timing of flowering of plants in the vicinity and the activities in the bee hive. The Beekeeper's Calendar was actively carried out during the years 2015-2018, but reports from bee keepers have been collected until 2021, which have also been included in this dataset. Coordinates of the observation locations have been made diffuse, to make it impossible to trace back the observations to the observer (coordinates are rounded to 3 decimals). Fri, 03 Jun 2022 12:16:50 GMT https://researchdata.se/en/catalogue/dataset/2022-86-3 https://researchdata.se/en/catalogue/dataset/2022-86-3 Swedish University of Agricultural Sciences Ola Langvall Åslög Dahl Kjell Bolmgren This publication makes part of the research project GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. The aim of the project is to quantify whether linear infrastructure habitats (road verges, power line corridors, etc) support biodiversity by assessing the influence of the amount of this habitats in the landscape and their contribution to landscape connectivity. The linked data was collected by experimentally tracking the movements of flower-visiting insects using fluorescent dye placed along the road verges and adjacent habitat of 20 sites that varied in the number of vehicles per day and on the habitat quality of the road verges. The data set consists of 240 observations. The first 120 observations correspond to the colour blue and the last 120 to the colour red. Thu, 26 Aug 2021 14:04:52 GMT https://researchdata.se/en/catalogue/dataset/2021-215-1 https://researchdata.se/en/catalogue/dataset/2021-215-1 Swedish University of Agricultural Sciences Juliana Dániel-Ferreira Åsa Berggren Jörgen Wissman Erik Öckinger This data set comprises the species richness of vascular plants, butterflies and bumblebees in linear infrastructure habitats (road verges and power lines) and the historical and present grassland cover in a 2 km buffer surrounding each habitat. The main purpose of this data set is to investigate if older linear infrastructure habitats sustain a higher richness of vascular plants and pollinators, and to study if the surrounding grassland habitat in the landscape from the past or the present has an influence on the contemporary species richness. The data also contains the species richness of grassland specialist vascular plants and butterflies, which is a subset from the total richness of the respective groups. The data on plants and pollinators was assessed during fieldwork in 2016. The data on grassland cover was calculated using the Swedish National Land Cover Data (NMD, Nationella marktäckedata) for the contemporary grassland, and a digitized Swedish Economic Map from the 1950s. The dataset consists of 112 rows and 15 columns, excluding headers. Each row contains information for one studied habitat (112 in total). The columns contain information on the studied 'Landscape' and 'Habitat' within the landscape, the coordinates of the transect in each habitat ('Start_X', 'Start_Y', 'End_X', End_Y'), information on the time since habitat establishment ('FirstAppearance') and the surrouding grassland cover in the past and present ('1950s_Grassland' and '2017_Grassland', respectively), and the continuously existing grassland ('Continuous_Grassland'). Furthermore, it contains information on the species richness of all vascular plants ('PL_rich_all') and grassland specialist vascular plants ('PL_rich_spec'), all butterflies ('BF_rich_all') and grassland specialist butterflies ('BF_rich_spec'), and bumblebees ('BB_rich'). For further explanation on the information and how it was assessed, please see the README file. Tue, 31 Jan 2023 10:00:07 GMT https://researchdata.se/en/catalogue/dataset/2022-246-1 https://researchdata.se/en/catalogue/dataset/2022-246-1 Swedish University of Agricultural Sciences Svenja Horstmann We studied the effects of undersowing oats with a mixture of three annual clovers species across different aspects of cropping system multi-functionality using 26 observation plots in a paired field design with 13 fields. We investigated 16 below-and above-ground ecosystem service indicators related to soil mineral nitrogen, arable weed control, pollination, disease and pest pressures, natural pest control and crop yield. We measured each of the 16 ecosystem service indicators in an intercropped and in a control treatment with identical management. Some indicators were measured before and after the experiment in both treatments to assess the magnitude of change by the treatment. For further information, see methods in the publication Boetzl et al. (2023) Undersowing oats with clovers supports pollinators and suppresses arable weeds without reducing yields. Journal of Applied Ecology. The data in the 'combined_dataset.csv' file have information on different ecosystem service indicators collected in 13 fields ('field_ID') and two treatments per field (intercropped and control). 27 rows. The 16 ecosystem service indicators contained are: soil mineral nitrogen (before and after the experiment), arable weed cover, arable weed biomass, granivorous carabid beetle density, flower cover, pollinator density, root disease severity (before and after the experiment), root-feeding nematode density (before and after the experiment), cereal leaf beetle damage, predatory nematode density (before and after the experiment), predatory carabid beetle density, staphylinid beetle density, spider density, predation rates on the soil level, oat yield and oat yield nitrogen content. Additionally, the biomass of undersown clovers in the intercropped treatment, the area covered by the intercropped treatment, the field size and the arable land cover in 1 km radius around the oat field are stated. Mon, 16 Jan 2023 15:23:13 GMT https://researchdata.se/en/catalogue/dataset/2022-258-1 https://researchdata.se/en/catalogue/dataset/2022-258-1 Swedish University of Agricultural Sciences Fabian Boetzl Ola Lundin Most research on the biology of the western honey bee (Apis mellifera) focuses on the worker bees, but knowledge about drones is lacking despite their important role in mating with a virgin queen. Available information about their ecology and behavior are mainly based on direct observations in need of intensive experience and knowledge about honey bees. Only two recent studies conducted in France and Argentina have monitored drones continuously, but on the scale of a single observation hive or during a short time period only. Therefore, studies that have continuously monitored drone flight activity during the whole mating season are still lacking. Further, we are not aware of any studies that have compared the ecology and behavior of drones between different subspecies of Apis mellifera. Besides the aim of analysing the ecology and behavior of drones in spring and summer in Sweden, where the climate poses challenging conditions for honey bees, the objective of this project was to compare the native, but threatened, subspecies Apis mellifera mellifera (Mel) with the hybrid ’Buckfast’ (Apis mellifera x, Buck). In Sweden, the latter is most commonly used in beekeeping today. Activity data at the entrance of the hives was collected with the use of Radio Frequency Identification (RFID) technology at two different apiaries with 8 colonies each. RFID technology enables the continuous monitoring of bees tagged with a microchip on their thorax. Hereby, only newborn drones with a maximum age of 3 days were tagged. Further, drones’ activity and behavior at the entrance of the hive was studied from video recordings. Weather parameters were measured by weather stations installed within the apiaries, enabling a direct analysis of the activity in relation to weather conditions (temperature, wind speed, rain, humidity). Wed, 14 Feb 2024 14:58:09 GMT https://researchdata.se/en/catalogue/dataset/2023-211 https://researchdata.se/en/catalogue/dataset/2023-211 University of Skövde Finja Schaumann Data of chemical compounds extracted from honey bee (Apis mellifera) brood in a varroa resistant and varroa susceptible population. Samples were taken 0, 6, 12, 18, 24, and 36 hours after brood capping by immersing pupae in pentane for 10 minutes. 6 hives from each population were used, and 3 replicates were taken per hive per time point. The FAME column was calculated by adding Methyl Palmitate, Linoloate, and Stearate together, while the FAEE columb was calculateed by adding Ethyl Palmitate, Linoloate, and Stearate together. Samples were analyzed using gas chromatography. R version 4.4.0 and RStudio version 1.4.1.748 were used to analyze the data. All packages and their version is listed in the attached R script. Data files included: Scaramella_et_al_2024_Contrast.tsv: 16 rows × 12 columns Scaramella_et_al_2024_Data.tsv: 210 rows × 14 columns Mon, 24 Jun 2024 13:15:10 GMT https://researchdata.se/en/catalogue/dataset/2024-173 https://researchdata.se/en/catalogue/dataset/2024-173 Swedish University of Agricultural Sciences Nicholas Scaramella Barbara Locke Insect pollinators provide important crop pollination services but are declining in response to lack of diverse flower resources and exposure to pesticides. Despite increasing evidence that the benefits of insect pollination for crop production depend on other ecosystem services and crop management practices, investigations have mostly been limited to how pollination benefits are affected by insect pest control and soil fertility levels. We conducted a factorial cage experiment in 2021 in a field outside Uppsala, Sweden to test how pollination by bumble bees, manual weed removal and fungicide application interactively shape faba bean (Vicia faba) yield components, and how weed removal and fungicide application affect bumble bee foraging rate and behaviour (e.g. nectar robbing versus legitimate pollination). For this we used four treatments, cage with and without insect pollination crossed with with and without weeds. In addition, each cage was divided into two subplots, where one subplot of faba bean was sprayed with fungicide (Signum), and the other subplot was sprayed with distilled water as a control. We replicated each treatment seven times, such that the experiment consisted of 28 cages. We sampled pollinator visitation rate and behaviour during faba bean flowering, pathogen occurrence at crop maturity, weed biomass by species during peak biomass and crop yield at crop maturity. Each of these are individual data files, see additional information about data in the documentation file Metadata.txt. Wed, 20 Nov 2024 15:43:28 GMT https://researchdata.se/en/catalogue/dataset/2024-430 https://researchdata.se/en/catalogue/dataset/2024-430 Swedish University of Agricultural Sciences Chloë Raderschall The data set was collected in Uppsala Sweden between 2019 and 2021. Hives were established using varroa resistant queens from Oslo, Norway (n = 3), Gotland Sweden, (n = 5), and Avignon, France (n = 4), with a varroa susceptible population from Uppsala, Sweden (n = 5) as control. All hives were located at the SLU Lövsta research station (GPS Coordinates: 59° 50’ 2.544”N, 17° 48’ 47.447”E). Varroa destructor mite reproductive success was measured on frames with adult honeybee workers exposed to, and excluded from access to honeybee larvae. Excluders were added directly after brood capping, and frames were dissected nine days later. Cell caps were removed using a scalpel with the pupae and mite families carefully removed from the cell using forceps and a fine paint brush. Mite reproductive success calculated by counting successful reproduction attempts, which was defined as a mite that successfully produced one male, and at least one female offspring. If a mite did not meet this requirement, it was considered a failed reproduction attempt and the reason for failure was documented. All data was analyzed in R version 4.0.1 using R Studio 1.3.959. A linear mixed-effect model was used with mite reproductive success as the response variable, population origin and excluder treatment as independent variables, with colony and year as random effect variables to compare treatments within each population as well as fecundity. Least-square means of the model were used to compare treatments between individual populations. Scaramella_et_al_2023_Data.tsv - Data set consists of 34 rows and 21 columns. Colony demographics, and designated treatment are listed. All data collected are count data and are explained in more detail in read me file. R script used in analysis is attached. It is split into two sections, with the first being used for statistical analysis, and the second used for plot creations used in the paper. Sections defined by title SECTION 1 - ANALYSIS and SECTION 2 - PLOTs The output Scaramella_et_al_2023_Analysis_Code_log.txt and plot file Rplots.pdf can, provided that the script is in the same directory as the data files and needed R packages are installed (see sessionInfo.txt), be reproduced by running: Rscript Scaramella_et_al_2023_Analysis_Code.R > \ Scaramella_et_al_2023_Analysis_Code_log.txt Scaramella_et_al_2023_Bar_Graph_Data.tsv - Data set consisting of 8 rows & 5 columns. Colony demographics, and designated treatment are listed. All data generated from the count data in Scaramella_et_al_2023_Data.tsv and are explained in more detail in read me file. Scaramella_et_al_2023_Stacked_Bar_Graph_Data.tsv - Data set consisting of 102 rows & 8 columns. Colony demographics, and designated treatment are listed. All data is Scaramella_et_al_2023_Data.tsv restructured to include reason failed as a column. The data is explained in more detail in read me file. Thu, 01 Jun 2023 11:09:57 GMT https://researchdata.se/en/catalogue/dataset/2023-79-1 https://researchdata.se/en/catalogue/dataset/2023-79-1 Swedish University of Agricultural Sciences Nicholas Scaramella Ashley Burke Melissa Oddie Barbara Locke We sampled pollinators, natural enemies, and herbivores, and estimated predation rates using visual observations, yellow sticky traps, pitfall traps, tiller counts and sentinel prey cards in eight pairs of pollinator attractive annual flower strips and control field margins, and their adjacent cereal fields in Skåne, Sweden in 2021. Field margins (flower strip vs spontaneous vegetation control) were characterized by estimating the percentage of plant cover and the total floral area (for each species we calculated the number of floral units x average floral area) in eight 0.6 x 0.6 m squares evenly distributed along the 100 m transect. Data was collected twice during the main period of the flower mixture. Pollinators (hoverflies, honey bees, bumblebees, solitary bees, and butterflies) visiting flowers were surveyed for 10 minutes along a 100 m long and 1 m wide transect in each field margin type. Pollinators were surveyed twice during the main period of the flower mixture on the same days as the margin characterization was done. Leaf-dwelling natural enemies and herbivores were sampled using yellow sticky traps (20 cm x 12.6 cm). Four traps of each type were placed along the 100 m transect in the field margins and another four in the adjacent crop area, at 10 m from the margins, for a total of 16 traps per site. Traps were spaced 20 m apart within each transect and remained in the field for seven days. Data was collected twice during the main period of the flower mixture. Due to a large number of samples only three traps per transect were processed and identified. Ground-dwelling natural enemies were sampled using pitfall traps made from polypropylene beakers (12 cm diameter) filled with 200 mL of soapy water. Four traps of each type were placed along the 100 m transect in the field margins and another four in the adjacent crop area, at 10 m from the margins, for a total of 16 traps per site. Traps were spaced 20 m apart within each transect and remained in the field for seven days. Data was collected twice during the main period of the flower mixture. Due to a large number of samples only three traps per transect were processed and identified. We counted and identified all arthropods found on four groups of five tillers located along each adjacent crop transect, spaced every 20 m, resulting in 80 crop tillers per site. Data was collected twice during the main period of the flower mixture. Sentinel aphid cards were set up in the field to estimate aphid predation rates. Four groups of two cards at ground level and two cards at vegetation level were set up along each adjacent crop transect, spaced every 20 m, resulting in 32 cards per site. Sentinel prey cards were set up once, exposed simultaneously during the first sampling interval of the tiller counts. After 24 hours of exposure, the sentinel prey cards were collected, and the remaining aphids were counted. This survey was conducted only in four of the eight fields. All data were aggregated across samples and survey rounds for each field margin habitat and the adjacent on-crop area. Hushållningssällskapet provided support in identifying suitable study sites, facilitating contact with farmers, and reviewing and editing the final manuscript associated with the dataset For further information, see methods in the manuscript Rodríguez-Gasol et al. "Annual flower strips under the ‘All of Sweden blooms’ initiative - how do they perform for pollinators, natural enemies and herbivores?". Thu, 29 Jan 2026 08:09:03 GMT https://researchdata.se/en/catalogue/dataset/2025-270 https://researchdata.se/en/catalogue/dataset/2025-270 Swedish University of Agricultural Sciences Neus Rodriguez-Gasol Ola Lundin Elodie Chapurlat Mattias Hammarstedt Mattias Jonsson Johan A. Stenberg Maria Viketoft