Native and introduced Australian grass (Poaceae) records

Cleaned and filtered Australian grass (Poaceae) occurrence records from the Atlas of Living Australia (ALA), downloaded 3 January 2020. The data file is in an R format (.RDS file). This can be converted and saved into a .csv file in R. I also assigned species photosynthetic pathway (either C3 or C4 photosynthesis) to each species in the data set. I converted the cleaned record into species richness (the number of unique species in 100 x 100 km areas across Australia). I tied native and introduced C3 and C4 grass species richness to key environmental variables to build species distribution models. I expected native and introduced grasses to have similar responses to environmental gradients meaning native species richness patterns could provide a template for potential introduced species richness. These records could be used for other SDM contexts (single-species or within States or Territories). Or for statistical analyses on the phylogenetic (species, generic) composition of grass records in Australia. The location tags on the records, however, provide use for assessing the geographic distribution of the records/species across Australia at different spatial scales and extents and with coupling to environmental data, as I did for these records. Nonnative = introduced (i.e. not native to Australia).本数据集为经清洗与筛选的澳大利亚禾本科（Poaceae）物种出现记录，数据来源于澳大利亚生物图鉴（Atlas of Living Australia, ALA），下载时间为2020年1月3日。该数据文件采用R语言格式（.RDS文件），可在R环境中转换并保存为.csv格式文件。本研究为数据集中的每个物种标注了其光合途径（C3光合或C4光合）。本研究将清洗后的出现记录转换为物种丰富度（species richness）数据，即澳大利亚全境100×100公里网格内的独特物种数量。本研究将本土与外来C3、C4禾本科植物的物种丰富度与关键环境变量进行关联，以此构建物种分布模型（Species Distribution Model, SDM）。本研究假设本土与外来禾本科植物对环境梯度的响应模式相似，即本土物种丰富度格局可作为预测潜在外来物种丰富度的参照模板。该数据集可应用于其他物种分布模型（SDM）场景，包括单物种模型或针对澳大利亚各州/领地的模型，亦可用于澳大利亚禾本科物种记录的系统发育（phylogenetic）组成（物种、属级）统计分析。不过，记录中的位置标签可用于在不同空间尺度与范围下，结合环境数据评估澳大利亚全境物种或记录的地理分布格局，正如本研究对该数据集的应用方式。注：非本土物种即外来物种，即原产于澳大利亚以外的物种。