Projected shifts in deadwood bryophytes in Sweden, data used for species distribution modelling and for climate and forest scenario analysis

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.气候变化与栖息地丧失是威胁森林生物多样性的主要因素。本研究基于瑞典生命观测（Swedish Lifewatch）网站的物种记录，为瑞典境内23种枯木栖生苔藓植物（Bryophyte）构建了单物种分布模型的集成模型。本数据集包含用于物种分布建模的物种数据与环境数据，以及所拟合的单物种分布模型的系数，涉及广义线性模型（Generalized Linear Model, GLM）、泊松点过程模型与最大熵模型（Maximum Entropy, MaxEnt）。 基于上述拟合得到的物种分布模型，我们针对瑞典全国尺度下的现实气候与森林预测情景，开展了物种未来分布的模拟研究。情景分析所用的数据已存储于此。