https://researchdata.se/en/catalogue Search results en This dataset contains the SLU Forage Availability Map. This dataset contains 12 maps, distributed as .tif files. They show the predicted abundance of the pine (Pinus sylvestris), rowan (Sorbus aucuparia), oak (Quercus spp.), willow (Salix caprea), aspen (Populus tremula) and birch (Betula spp.) trees from 10 cm height to 4 cm diameter at breast height across the country using data from the Swedish National Forest Inventory and remote sensing datasets. Map products are aggregated to a 1ha and a 1km2 scale and show the average amount of trees estimated per spatial unit. For more information on the development of this dataset, please see the article: https://doi.org/10.1016/j.jag.2025.104850 For access to the 10x10m maps, contact the authors. Tue, 04 Nov 2025 15:22:50 GMT https://researchdata.se/en/catalogue/dataset/2025-259 https://researchdata.se/en/catalogue/dataset/2025-259 Swedish University of Agricultural Sciences Lukas Graf Inka Bohlin Per-Ola Hedwall Jonas Dahlgren Annika M. Felton This is the data from the article Local distribution patterns of fleshy-fruited woody plants – examining the orchard hypothesis (DOI: 10.1111/ecog.05359) Matilda Arnell, Johan Ehrlén and Ove Eriksson The study was carried out in the Tullgarn nature reserve (17°33'45E 58°57'56 N) in the province of Södermanland in Sweden. In the study area we established 15 sites. The sites were chosen to cover a range of potential habitats for fleshy-fruited woody species, and included those that were a priori expected as favourable habitats, e.g. forest edges, and less favourable habitats, e.g. within forests dominated by coniferous species (Picea abies and Pinus sylvestris). At the 15 sites we established three plots per site (45 plots) and at each plot we established subplots for the seedling recruitment experiment. Study design In 50 m radius circles at one of the three plots at each site we mapped all individuals of the local guild of fleshy-fruited woody trees and shrubs and recorded their height (or diameter at breast height) and reproductive status. This data is found in “spatial data_Arnell et al 2020.csv”. Please consult the readme-file for further details. In 50 m radius circles surrounding all three plots at each site we recorded presence/absence of reproductive individuals (displaying flowers or fruits) for the species included in the seedling recruitment experiment. This data is found in “plot scale data_Arnell et al 2020.csv”. Please consult the readme-file for further details. Seedling recruitment experiment At each plot, in subplots of 50 × 50 cm, we sowed 50 seeds of each of ten species of the local guild (figure 2A). The species were: Crataegus laevigata, Frangula alnus, Juniperus communis, Lonicera xylosteum, Prunus avium, Prunus padus, Prunus spinosa, Ribes alpinum, Rubus idaeus and Sorbus aucuparia. The seeds were gathered from fruits collected in the peak of the fruiting season of each species (mainly July-August, but October for J. communis, S. aucuparia and P. spinosa). We removed the pulp and allowed the seeds to dry in room temperature. The experiment was initiated in the autumn of 2015. In 2016 and 2017, we recorded seedlings on three occasions each year, between early June and early September. In 2018, we recorded seedlings and small juveniles once in June. At each occasion, the location of all seedlings was noted and used to identify individual recruits, and allowing us to identify new seedlings. All recruits were followed throughout the survey period. At all occasions, we also searched for seedlings of the study species in control plots (where no seeds were added) located adjacent to the sowing plots. The data from the seedling recruitment experiment is found in “plot scale data_Arnell et al 2020.csv”. Please consult the readme-file for further details. Spatially explicit patterns of associations Using the mapped positions of all individuals from the 50 m radius circles (spatial data_Arnell et al 2020.csv), we investigated distribution patterns by performing four different point pattern analyses. The analyses were performed in the software PROGRAMITA (Wiegand and Moloney 2014). Data reconfigured to be compatible with PROGRAMITA can be found in “data_PROGRAMITA.zip”. Please contact Matilda Arnell (matilda.arnell@su.se) for information or collaboration. Please cite also the original article when using these data (DOI: 10.1111/ecog.05359). Tue, 25 Feb 2020 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-11897850 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-11897850 Stockholm University Matilda Arnell Johan Ehrlén Ove Eriksson 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