https://researchdata.se/en/catalogue Search results en 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 We sampled pollinators, natural enemies, and herbivores using visual observations, yellow sticky traps, pitfall traps and tiller counts, as well as estimated predation and decomposition rates using sentinel prey cards and bait lamina strips in ten pairs of pollinator attractive perennial 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 quadrats evenly distributed along a 100 m transect. Data was collected twice during the main growing 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. 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. 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 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. Decomposition rates were estimated by setting up bait lamina strips filled with a standardized bait mixture. Four groups of five strips were placed along each 100 m transect, with groups spaced every 20 m, resulting in 80 strips per site. Within each group, strips were spaced 20 cm apart. The lamina strips were buried in the ground for 15 days, coinciding with the end of the surveys. After this exposure period, we recorded the number of pierced holes and calculated the decomposition rate by dividing the number of pierced holes by the total number of bait-filled holes. All data were aggregated across samples and survey rounds for each field margin habitat and the adjacent in-crop area. For further information, see methods in the manuscript Rodríguez-Gasol et al. ’Perennial flower strips increase pollinator and natural enemy abundance but show limited efficacy in pest control for adjacent crops’. Wed, 08 Oct 2025 11:12:23 GMT https://researchdata.se/en/catalogue/dataset/2025-102 https://researchdata.se/en/catalogue/dataset/2025-102 Swedish University of Agricultural Sciences Neus Rodriguez-Gasol Maria Viketoft Elodie Chapurlat Johan A. Stenberg Mattias Jonsson Ola Lundin Here is presented all data and code used in the article "Strong diel variation in the activity of insect taxa sampled by Malaise traps" by Viktor Gårdman, Emme McDonald & Tomas Roslin. The sampling of insects through Malaise traps was conducted by the authors. 24 malaise traps were erected in a boreal forest in central Sweden (Lat. 60.024855, long. 17.751336) and emptied every second hour, with the exception of night (samplng events during night = 22:00, 02:00, 06:00) for five consecutive days between 14-19th of July 2022. The sampling design is described in further detail in the article (Fig. 1B). Insects were identified to taxonomic Family for Diptera, Coleoptera, and Hymenoptera, except for the superfamilies of Chalcidoidea and Cynipoidea (Hymenoptera). Chalcidoids and Cynipoids were only identified to the superfamily level, due to difficulties in assigning lower taxonomic levels without risking misidentification. Hemiptera was divided into taxonomic families for Heteroptera, and into suborders for Auchenorrhyncha and Sternorrhyncha. To simplify identification of a large group with similar morphology, all microlepidopteras were grouped as such with no further identification. Furthermore, to speed up the identification task, all insects not belonging to Diptera, Hymenoptera, Coleoptera, Lepidoptera or Hemiptera were identified to Order alone. The HRS_SpeciesData file contains information about each captured individual across all taxa for each 2 hour sampling interval during the five days of sampling. Dates are given as DD/M. TrapID refers to which of the 24 traps used the individual was found in. Time is given in hh:mm and refers to the time of sampling, Time_con refers to time in only hh, and time_Num shows time of day as a fraction between 0 (00:00) and 1 (23:59). The superfamily belonging for each taxon used is given. Note that for taxa were only taxonomic Order or Suborders are given, the superfamily column refers to this Order or Suborder. The HRS_EnviData file contains information about how many individual were captured at each timestep for the 17 most common taxa (appearing as >49 individuals or in >19 timesteps), along with weather covariates for each timestep. The weather covariates are average values from the five half hour measurements per sampling period (expect for 22:00-02:00 and 02:00-06:00 where n=9). The taxonomic columns follow the same principle as in HRS_SpeciesData, with an additional column of taxonomic Order. Times and date also follow the same principle as in HRS_SpeciesData. ID is a unique mix of Date and time, given as DDHH (Date, Hour). The emptying of trap at 20:00 on the 15h would have ID 1520. Temperature is given in degrees Celsius (°C), wind speed in m/s, cloud cover as a fraction between 0 (no cloud) and 1 (complete cloud cover), rain in mm, wind direction in cardinal directions, and relative humidity in %. Data on weather covariates was provided by the Swedish Transport Administration (https://www.trafikverket.se/) from weather station 327 Björklinge (Lat. 60.05042, long. 17.62149). All code was created using R version 4.4.0 and is presented through Rmarkdown Fri, 05 Dec 2025 12:45:22 GMT https://researchdata.se/en/catalogue/dataset/2025-211 https://researchdata.se/en/catalogue/dataset/2025-211 Swedish University of Agricultural Sciences Viktor Gårdman Emme McDonald Tomas Roslin Phenotypic plant data and herbivory intensity data from eight Solanum dulcamara populations in four habitats, and arthropod data from five of these populations collected in pan straps and sticky traps. The phenotypic plant data include measures on growth and reproduction. Herbivory data include measures on lost leaf area. Arthropod data are divided into different taxa. Thu, 03 Sep 2026 12:19:13 GMT https://researchdata.se/en/catalogue/dataset/2026-144 https://researchdata.se/en/catalogue/dataset/2026-144 Swedish University of Agricultural Sciences Åsa Lankinen Kristin Aleklett