https://researchdata.se/en/catalogue Search results en Identifying and quantifying crop stressors interactions in agroecosystems is necessary to guide sustainable crop management strategies. Over the last 50 years, faba bean cropping area has been declining, partly due to yield instabilities associated to uneven insect pollination and herbivory. Yet, the effect of interactions between pollinators and a key pest, the broad bean beetle Bruchus rufimanus (florivorous and seed predating herbivore) on faba bean yield has not been investigated. Using a factorial cage experiment (2 x 2 m) in the field we investigated how interactions between insect pollination by bumblebees and herbivory by the broad bean beetle, affect faba bean yield. The data on pest damage , pollinators visitation and behavior and faba bean yield components and biomass used in the paper: Riggi, L., Raderschall, C., & Lundin, O. (2022). Insect pest damage increases faba bean (Vicia faba) yield components but only in the absence of insect pollination. In Ecology and Evolution (Vol. 12). https://doi.org/10.1002/ece3.8686 is presented. The data material on pest, pest damage, pollinators visitation and faba bean yield components used in the paper: Riggi, L., Raderschall, C., & Lundin, O. (2022). Insect pest damage increases faba bean (Vicia faba) yield components but only in the absence of insect pollination. In Ecology and Evolution (Vol. 12). https://doi.org/10.1002/ece3.8686 Tue, 01 Nov 2022 15:39:05 GMT https://researchdata.se/en/catalogue/dataset/2022-23-1 https://researchdata.se/en/catalogue/dataset/2022-23-1 Swedish University of Agricultural Sciences Laura Riggi The aim of this study was to investigate how short- and long-tongued bees (bumblebees and honeybees) affect seed production in different cultivars of red clover, focusing on tetraploid cultivars. The study includes two experiments. In the first one, data were collected from field trials at six different sites (belonging to Lantmännen) distributed in southern and northern Sweden over two years. The data from this experiment include seed yield, seed set, abundance of short- and long-tongued bees and seed-eating weevils, and plant traits (flower head density and number of florets per flower head) from one diploid and three tetraploid red clover cultivars. The second experiment was a cage study where seed yield from tetraploid red clover was evaluated from cages with different densities of the short-tongued bumblebee Bombus terrestris, and compared with seed yield from an open plot adjacent to the cages. This study was conducted in farmers' fields in southern and northern Sweden over two years. Wed, 11 Mar 2026 08:17:06 GMT https://researchdata.se/en/catalogue/dataset/2026-28 https://researchdata.se/en/catalogue/dataset/2026-28 Swedish University of Agricultural Sciences Kajsa Svensson Veronika Hederström Ida Valentin Sara Lindholm Linda Öhlund Mattias C. Larsson Åsa Lankinen 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 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 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 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 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 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 butterflies, bumblebees, and vascular plants in five types of prevalent grasslands (pastures, road verges along small gravel roads, road verges along big paved roads, power line corridors, and field borders). These grasslands were embedded in 32 landscapes with area 4 km² each, that differed in the area of linear infrastructure habitats (road verges and power line corridors) and semi-natural grasslands of high nature value, while other land-use types were kept constant. The landscapes were dominated by forest. Within each grassland habitat, the surveyor established a 200 m transect and then identified all butterflies and bumblebees along it. For plants, a 1 x 1 m quadrat was established at the centre of a 50 m section in each transect, i.e. each transect had four plots in which all plant species were identified. Denna studie är en del av projektet GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. Projektets huvudsyfte var att kvantifiera om linjära infrastrukturmiljöer (vägkanter och kraftledningsgator) bidrar till mångfalden av växter och insekter i olika rumsliga skalor. Detta gjordes genom att uppskatta hur linjära infrastrukturmiljöers mängd i landskapet bidrar till mångfalden samt hur mycket de bidrar till landskapets konnektivitet. Datan samlades genom att inventera dagfjärilar, humlor, och växter i fem typer av gräsmarker (betesmarker, vägrenar längs enskilda vägar, vägrenar längs allmänna vägar, kraftledningsgator, och åkerkanter). Alla dessa habitat typer fanns inom 32 landskap med area 4 km2 som skilde sig i areal av linjära infrastrukturmiljöer (vägrenar och kraftledningsgator) och ängs-och betesmarker. Arealen av andra markanvändningar var konstanta mellan landskap och alla landskap var skogsdominerade. Thu, 04 Apr 2024 09:16:47 GMT https://researchdata.se/en/catalogue/dataset/2023-23-1 https://researchdata.se/en/catalogue/dataset/2023-23-1 Swedish University of Agricultural Sciences Juliana Dániel-Ferreira Yoan Fourcade Riccardo Bommarco Jörgen Wissman Erik Öckinger