https://researchdata.se/en/catalogue Search results en This data archive contains data used in the study by Fabritius et al. (2019): Estimation of metapopulation colonization rates from disturbance history and occurrence pattern data, Ecology. All data have been previously used also in other studies (Gu et al. 2001, Snäll et al. 2005, Lankia et al. 2012, Ronnås et al. 2017). The data include two-time-point occurrence pattern data of an endangered lichen L. pulmonaria, empirical snapshot data on aspen (P. tremula) and goat willow (S. caprea) counts, and 400-year data of forest fires. All data have been collected in the Teerisuo-Lososuo nature reserve, Kuhmo, Finland (2 086 ha; 63°88'N, 29°18'E) and projected in the Finnish YKJ projection. Ilkka Hanski initiated the surveys in the late 1990’s and Gergely Várkonyi, Matti Komulainen, Jari Huotari, Pirjo Appelgren and Mikko Heikura assisted with field work. The data include two-time-point occurrence pattern data of an endangered lichen L. pulmonaria, empirical snapshot data on aspen (P. tremula) and goat willow (S. caprea) counts, and 400-year data of forest fires. All data have been collected in the Teerisuo-Lososuo nature reserve, Kuhmo, Finland (2 086 ha; 63°88'N, 29°18'E) and projected in the Finnish YKJ projection, EPSG:2393. Tue, 28 May 2019 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd1104-1 https://researchdata.se/en/catalogue/dataset/snd1104-1 Swedish University of Agricultural Sciences Henna Fabritius Heini Lankia Tuomo Wallenius Gergely Várkonyi Juho Pennanen Tord Snäll 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 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