https://researchdata.se/en/catalogue Search results en These data consist of (inferred) presence-absence records for 23 dead-wood inhabiting bryophytes in Sweden and the associated environmental variables at each data point at the 100 m grid cell resolution. The data were applied to fit single species distribution models, and multi-species predictive fourth-corner models. Full details of data compilation, sources and application can be found in: Löbel, S., Mair, L., Lönnell, N., Schröder, B., & Snäll, T. (2018). Biological traits explain bryophyte species distributions and responses to forest fragmentation and climatic variation. Journal of Ecology, 106(4), 1700-1713. doi:10.1111/1365-2745.12930 Mon, 06 May 2019 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/ecds0251-1 https://researchdata.se/en/catalogue/dataset/ecds0251-1 Swedish University of Agricultural Sciences Swantje Löbel The aim of the data collection was to examine differences in biodiversity between two different age classes of production forest stands. Surveys were conducted between 2016-2017 in forty managed production forest stands in southern Sweden. Stands are dominated by two different tree species: Scots pine and Norway spruce and belong to two different age classes: 55 (+/- 5) and 80 (+/- 5) year old. In total ten stands of each category (tree species and age class) were surveyed. There are four separate data sets for species: birds, bryophytes, epiphytic lichens and vascular plants. Species data consists of presence/absence data for the different stands. There is also one data set with stand structures. The five different data sets can be connected using a stand ID that can be found in all of the files. Data consists of information about 26 bird species, 84 bryophyte species, 57 lichen species and 102 vascular plant species. Files consist of 5 separate matrices with 40 rows that are stored in .csv format (comma delimited). Data set 'bird.csv' has 40 rows and 29 columns. Data set 'bryophyte.csv' has 40 rows and 87 columns. Data set 'epilichen.csv' has 40 rows and 60 columns. Data set 'vascularpl.csv' has 40 rows and 105 columns. Data set 'stand_structures.csv' has 40 rows and 7 columns. All data sets have a column "stand", which consist of stand IDs which can be used to connect the different data sets with each other. Information about tree species and stand age class is also provided in the data. For bird species common English names are used. Scientific names are used for vascular plants (Dyntaxa 2019), bryophytes (Hallingbäck 2006) och lichens (Santesson's Checklist of Fennoscandian Lichen-forming and Lichenicolous Fungi 2020). Data was collected during summer of 2016 (birds, bryophytes, vascular plants and forest structure data) and during summer of 2017 (lichen data and forest structure data). Data consist of information from fourty stands. In each stand, 10 plots of 100m2 were used for inventoring bryophytes and vascular plants and 10 trees were surveyed for epiphytic lichens (including branches, up to two metres). Birds were surveyed in four plots per stand within a radius of 40 meters. In the data sets, absence-presence data for the whole stand is shown (i.e. when pooling all plots/trees together). Forest structures were measured within a radius of 10-15 meters in 10 plots per stand, except for dead wood, which was measured in 100 m2 plots. The data set 'stand_structures' shows hectare values based on the average from the plots. Column name explaination: 'stand' = stand-ID, 'tree' = tree species, 'age' = stand age, 'basal_area' = basal area, 'stem_density' = stem densities (stems > 4 cm diameter) and 'wood' = dead wood in m3 (snags, lying wood). The column 'canopy_cover' shows the average canopy cover calculated from 10 hemispherical photos per stand. Stands were selected based on site index (SI 24-29 for Norway spruce) from forest owner management plans. Only stands on till soil with rhyolite or granite bedrock were selected for the study. For details about study design, species inventories and stand selection see following publications: *Birds* Lindbladh M, Petersson L, Hedwall P-O, Trubins R, Holmström E, Felton A. Consequences for bird diversity from a decrease in a foundation species—replacing Scots pine stands with Norway spruce in southern Sweden. Regional Environmental Change. 2019;19(5):1429-40. doi: 10.1007/s10113-019-01480-0. *Bryophytes* Petersson L, Nilsson S, Holmström E, Lindbladh M, Felton A. Forest floor bryophyte and lichen diversity in Scots pine and Norway spruce production forests. Forest Ecology and Management. 2021;493:119210. doi: 10.1016/j.foreco.2021.119210. PubMed PMID: WOS:000651205800009. *Epiphytic lichens* Petersson L, Lariviere D, Holmström E, Fritz Ö, Felton A. Conifer tree species and age as drivers of epiphytic lichen communities in northern European production forests. The Lichenologist. 2022;54(3-4):213-25. Epub 2022/07/29. doi: 10.1017/S0024282922000172. *Vascular plants* Petersson L, Holmström E, Lindbladh M, Felton A. Tree species impact on understory vegetation: Vascular plant communities of Scots pine and Norway spruce managed stands in northern Europe. Forest Ecology and Management. 2019;448:330-45. Wed, 08 Mar 2023 15:18:15 GMT https://researchdata.se/en/catalogue/dataset/2023-18-1 https://researchdata.se/en/catalogue/dataset/2023-18-1 Swedish University of Agricultural Sciences Lisa Petersson Delphine Lariviere Emma Holmström Matts Lindbladh Adam Felton The data file PLECHAR.xlsx (Excel) includes four sheets • SPECIES AND CHARACTER STATES, with the data. • STUDIED SPECIMENS, specifying which specimens were studied. • CITED LITERATURE, listing the literature cited in the PLECHAR.xlsx file itself. • CHARACTER EXPLANATIONS – READ!, with information about characters that are not self-explanatory. The data (SPECIES AND CHARACTER STATES) includes morphological and anatomical character information for 661 pleurocarpous moss taxa, mostly at the species level, described under 106 headings. I compiled the morphological and anatomical character data for pleurocarpous mosses mainly from studies where I scored the character information myself. Information about which studies this is based on is included in the README file. A few additions were made from the literature, as indicated in the sheet CITED LITERATURE in the data file. Since I scored almost all information myself, any observational bias should be approximately the same throughout the data and the information on a particular character should be comparable between taxa. Mon, 23 Jun 2025 09:09:53 GMT https://researchdata.se/en/catalogue/dataset/2025-92 https://researchdata.se/en/catalogue/dataset/2025-92 Swedish Museum of Natural History Lars Hedenäs