https://researchdata.se/en/catalogue Search results en The data contains counts of number of bird cherry-oat aphids (Rhopalosiphum padi) that settle on wheat (Triticum aestivum) plants after seed treatment with chemical elicitors and control plants (treated with water/wetter), and measures of the size of aphid populations on plants after treatment. Data were collected in glasshouse/growth chambers. Data were collected as part of the Swedish Research Council Formas project 2018-00706 to assess the potential of chemical elicitors methyl salicylate, methyl jasmonate and cis-jasmone for improving plant a health. Aphid plant colonization: Ten aphids (Rhopalosiphum padi) were placed onto wheat plants (treated with elicitors or water control) at 2-leaf stage and the number of aphids settled on the plants after 2 hours was recorded. Aphid population development: One adult aphid (Rhopalosiphum padi) was placed onto wheat plants (treated with elicitors or water control) and after it had produced nymphs, all but one nymph were removed. The number of days for each nymph to become adult and produce a first nymph (d) was recorded and the number of nymphs produced in a time equal to d (M) was recorded. The intrinsic rate of aphid population increase (Rm) was calculated using the formula Rm=0.74(LnM)/d Aphid population development- Variable List: Treatment (Control, MeSa= methyl salicylate, MeJa= methyl jasmonate, CJ= cis-jasmone), Concentration (concentration of elicitor mM (millimolar)), days to repr (d)= number of days between aphid birth and first reproduction no. offspring (M)= number of aphid offspring produced in time equivalent to d, no. offsring/day= M/d, Rm intrinsic rate of population increase calculated by Rm=0.74(LnM)/d. Experiment code A= MeSa vs control, B= MeJa vs control, C= CJ vs control. This data file consists of 171 rows and 7 columns Aphid plant colonization- Variable List: Treatment (Control, MeSa= methyl salicylate, MeJa= methyl jasmonate, CJ= cis-jasmone), Conc (concentration of elicitor mM millimolar), no. aphids settled after 2 hrs, Experiment code (indicates which control treatment to compare with which elicitor treatment) This data file consists of 240 rows and 5 columns. Identical values may appear on more than one row, so a unique data value identifier is included in the first column (Data point ID) Tue, 22 Apr 2025 11:19:57 GMT https://researchdata.se/en/catalogue/dataset/2023-70-1 https://researchdata.se/en/catalogue/dataset/2023-70-1 Swedish University of Agricultural Sciences Robert Glinwood Nature's Calendar (www.naturenskalender.se, in Swedish only) is run by the Swedish National Phenology Network (SWE-NPN), a consortium of Swedish universities, governmental agencies and non-governmental organisations. The Swedish University of Agricultural Sciences (SLU) hosts the network and is part of the university's program for environmental monitoring and assessment. The main task for the Nature's calendar is to collect observations of different spring and autumn signs appearing during the vegetation season. SWE-NPN is connected to the monitoring of the Swedish Environmental Objectives, mainly concerning the objective Reduced Climate Impact, but is also collaborating with networks in Europe (through the Pan-European Phenology database - PEP725) and internationally (through the International Society of Biometeorology). 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. Since 2022, a campaign called "Försommarkollen" (i.e. "Early Summer Check") has also been run June 5-6 every year (the World Environment Day and the Swedish National Day, respectively). In the Early Summer Check, Citizen Scientist's have reported observations of how far the development of flowering of Bird Cherry, Rowan, Lilac, Little Bluebell, Daisy and Lily of the Valley have progressed. All species, except Little Bluebell, has also been reported in the historical dataset mentioned below. Little Bluebell was included, as it recently was elected to be the Swedish National Flower. The Early Summer Check campain is performed by two SWE-NPN partners, SLU and the Swedish Botanical Association (SBF), where SLU provides the technical platform and data analyses and SBF produce folders and by hosting regional contacts for the press. The results are made available to the public by press releases directly after the campain is finished. Aims 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. Observations reported to the Nature's Calendar can be compared to similar observations collected for more than 100 years ago (see the Swedish Historical Phenology Dataset in "Related Reseach Data"), to detect evidence of phenological shifts over time that can be connected to climate change. The aim with the data collection of the Early Summer Check is to obtain nationwide data that can provide information to understand, track changes and predict effects of climate change on natural plants in Sweden by studying the progress of some species all over the country at one and the same date every year, and compare the current progress with what have been seen in historical records of the same plants. The dataset includes one file with observation data (early_summer_check_2022-2024.csv), one PDF file (metadata_early_summer_check_2022-2024.pdf) with metadata that describes how the included parameters should be interpreted and lists of included species and phases, and one PDF file (forsommarkollen_folder_2024.pdf) which is the instruction given to the observers (in Swedish, only). The observation data file includes totally 13 933 observations. Tue, 15 Apr 2025 13:25:31 GMT https://researchdata.se/en/catalogue/dataset/2025-42 https://researchdata.se/en/catalogue/dataset/2025-42 Swedish University of Agricultural Sciences Ola Langvall Nature's Calendar (www.naturenskalender.se, in Swedish only) is run by the Swedish National Phenology Network (SWE-NPN), a consortium of Swedish universities, governmental agencies and non-governmental organisations. The Swedish University of Agricultural Sciences (SLU) hosts the network and is part of the Climate program within the environmental monitoring and assessment activity branch of the university. The main task for the Nature's calendar is to collect observations of different spring and autumn signs appearing during the vegetation season. SWE-NPN is connected to the monitoring of the Swedish Environmental Objectives, mainly concerning the objective Reduced Climate Impact, but is also collaborating with networks in Europe (through the Pan-European Phenology database - PEP725) and internationally (through the International Society of Biometeorology). 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. Since 2015, a campaign called "Vårkollen" (i.e. "Spring Check") has also been run April 30 - May 1 every year. In the Spring Check, Citizen Scientist's have reported observations of how far the development of the flowering of Liverleaf, Colt's-foot, Wood Anemone, Goat Willow and Bird Cherry, and budburst of birch have progressed. All species has also been reported in the historical dataset mentioned below. The Spring Check campain is performed by two SWE-NPN partners, SLU and the Swedish Botanical Association (SBF), where SLU provides the technical platform and data analyses and SBF produce folders and by hosting regional contacts for the press. The results are made available to the public by press releases directly after the campain is finished. Aims 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. Observations reported to the Nature's Calendar can be compared to similar observations collected for more than 100 years ago (see the Swedish Historical Phenology Dataset in "Related Reseach Data"), to detect evidence of phenological shifts over time that can be connected to climate change. The aim with the data collection of the Spring Check is to obtain nationwide data that can provide information to understand, track changes and predict effects of climate change on natural plants in Sweden by studying the progress of some species all over the country at one and the same date every year, and compare the current progress with what have been seen in historical records of the same plants. The dataset includes one file with observation data (spring_check_2015-2024.csv), one PDF file (metadata_spring_check_2015-2024.pdf) with metadata that describes how the included parameters should be interpreted and lists of included species and phases, and one PDF file (Varkollen_folder_2024.pdf) which is the instruction given to the observers (in Swedish, only). The observation data file includes totally 69,668 observations. Thu, 24 Apr 2025 07:57:09 GMT https://researchdata.se/en/catalogue/dataset/2022-86-2 https://researchdata.se/en/catalogue/dataset/2022-86-2 Swedish University of Agricultural Sciences Ola Langvall Kjell Bolmgren 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