https://researchdata.se/en/catalogue Search results en These three files in combination with the supplementary files to the original manuscript "Plue, J, Aavik, T., Cousins, S.A.O. 2018. Grazing Networks Promote Plant Functional Connectivity among Isolated Grassland Communities. https://doi.org/10.1111/ddi.12842" enable complete reproduction of all the analysis in the manuscript. The three files in this file set contain: 1) Genotyped data for 760 individuals from a total of 39 Campanula rotundifolia populations, based on 10 microsatellite markers.2) Shapefile of the islands in the Stockholm archipelago upon which the Campanula rotundifolia populations were sampled. The shapefile is in the SWEREF 99 coordinate system.3) Shapefile containing the locations of the 39 Campanula rotundifolia populations. The shapefile is in the SWEREF 99 coordinate system Tue, 11 Sep 2018 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-7072139 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-7072139 Stockholm University Jan Plue Tsipe Aavik Sara Cousins 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 Data deposited in association with above named article to be published in the journal: Biogeosciences. Biogenic Volatile Organic Compound (BVOC) data covers full processing from retention times, comparison to standards and quantification of relevant compounds. Ecosystem respiration data has already been converted to flux (linear increase in concentration of carbon dioxide (CO2) over time over sampling period). Plant Root Simulator (PRS) probe, moisture, and temperature data listed for each site and treatment. Vegetation community described for each community based on percent cover of each species. Mon, 02 Oct 2023 06:24:27 GMT https://researchdata.se/en/catalogue/dataset/2023-177 https://researchdata.se/en/catalogue/dataset/2023-177 University of Gothenburg Cole Brachmann Tage Vowles Riikka Rinnan Mats Björkman Anna Ekberg Robert Björk 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