Climate change and habitat loss are main threats to forest biodiversity. We fitted ensembles of single species distribution models for 23 deadwood-living bryophyte species in Sweden, based on species records from the Swedish Lifewatch website. This data set comprises the species and environmental data used for species distribution modelling, and coefficients of the fitted single species distribution models (GLM, Poisson point-process, MaxEnt).

Based on the fitted species distribution models, we conducted simulations of future species distributions given realistic climate and forest projection scenarios at the national scale of Sweden. The data used for the scenario analysis are stored here.

Bryophyte records were downloaded from the Swedish Lifewatch Website (www.analysisportal.se). The original data were presence-only, but we could also establish a presence-absence data set based on records from 12 professional bryologists using consistent methodology. Species data were aggregated to the 100m grid-cell resolution.

Forest data were based on estimates which combine satellite images and ground truthing (http://skogskarta.slu.se). Gridded meteorological data were obtained from the EURO4M MESAN data set (http://esg-dn1.nsc.lui.se). 

Forest and climate scenario data were produced as part of the Swedish Nationwide Forestry Scenario Analysis 2015.