https://researchdata.se/sv/catalogue Search results sv Complete datasets and R scripts related to article published in Applied Vegetation Science: "Soil phosphorous availability determines the contribution of small, individual grassland remnants to the conservation of landscape-scale biodiversity" 1. plot_metadata.csv - for all 162 vegetation plots the dataset provides a metadata on the geographical and environmental characteristics of the plot. 2. soil.csv - for all 162 vegetation plots the dataset provides the raw data on each of the four measured soil characteristics: Phosphorous, pH, Carbon and Nitrogen. 3. vegdat.csv - for all 162 vegetation plots, this dataset provides the recorded abundance (ACFOR scale) of all 174 recorded species. 4. planttraits.csv - for all 174 species, this dataset lists the level of habitat specialisation. 5. PlueBaeten_analyses.nb.html R scripts on the full statistical analyses of the data in html format 6. PlueBaeten_analyses.Rmd R scripts on the full statistical analyses of the data in R Markdown format Wed, 02 Jun 2021 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-14614263 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-14614263 Stockholms universitet Jan Plue Lander Baeten 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/sv/catalogue/dataset/doi-10-17045-sthlmuni-11897850 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-11897850 Stockholms universitet Matilda Arnell Johan Ehrlén Ove Eriksson 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/sv/catalogue/dataset/doi-10-17045-sthlmuni-7072139 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-7072139 Stockholms universitet Jan Plue Tsipe Aavik Sara Cousins Method This dataset includes a detailed example for using our method (described in paper linked to below) to digitize historical land-use maps in R. Maps We also release all of the Swedish land-use maps that we digitized for this project. This includes the Economic Map of Sweden (Ekonomiska kartan) over Sweden's 15 southernmost counties (7069 25 km² sheets), plus 11 sheets of the District Economic Map (Häradsekonomiska kartan - but see http://bolin.su.se/data/Cousins-2015 for more accurate manual digitization). Svenska Här kan du ladda ner 7069 Ekonomiska kartblad som vi digitaliserade över södra Sverige. En kort beskrivning av metoden publicerades i tidningen Kart & Bildteknik (se länk nedan). --UpdatesVersion 2: The digitized Economic Maps have been resampled so that they are all at a 1m resolution. In the original version they were all very close to 1m but not exactly the same, which made mosaicking difficult. This should be easier now. We now also link to the published paper in Methods in Ecology and Evolution. For more information, please see the readme file. For help or collaboration, please contact alistair.auffret@natgeo.su.se. If you use the data here in your work or research, please cite the publication appropriately. Tue, 14 Feb 2017 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-4649854 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-4649854 Stockholms universitet Alistair G Auffret Adam Kimberley Jan Plue Helle Skånes Simon Jakobsson Emelie Waldén Marika Wennbom Heather Wood James M Bullock Sara A O Cousins Mira Gartz Danny A P Hooftman Louise Tränk