Vascular plant GDM transformed grids for the Nearctic Boreal Forest / Taiga and Neotropical Moist Tropical Forest Bio-Realms

This collection contains GDM transformed grids for vascular plant species compositional turnover models for two bio-realms: the Nearctic Boreal Forest / Taiga and Neotropical Moist Tropical Forest. The GDM parameter files are included, along with some outputs describing the GDM model outputs. \n\nThis is just two of the many GDM models for bio-realms of the world. \n\nThis collection is compiled for the purpose of testing the new R-packaged Survey Gap Analysis Tool. \n\nData are raster ESRI float files (*.flt and *.hdr) in geographics, WGS84, 0.008333 degrees, approximately 250 m global grids. \nLineage: The lineage is described in the attached GDM parameter files for the vascular plant models, 'GDMready7_5_Params', for each biorealm. Additional files (PDF, image tif) describe outputs of the model. The formal description of methods is provided in Hoskins AJ, Harwood TD, Ware C, Williams KJ, Perry JJ, Ota N, Croft JR, Yeates DK, Jetz W, Golebiewski M, Purvis A, Robertson T and Ferrier S (2020) BILBI: Supporting global biodiversity assessment through high-resolution macroecological modelling. Environmental Modelling & Software 132, 104806. DOI: https://doi.org/10.1016/j.envsoft.2020.104806 and supplementary files therein (https://www.sciencedirect.com/science/article/pii/S1364815220301225?via%3Dihub#appsec1).

本数据集包含针对两个生物区的维管植物物种组成周转模型的广义差异模型（Generalized Dissimilarity Model，GDM）转换栅格，涉及的两个生物区分别为新北极界寒温带森林/泰加林与新热带界湿润热带森林。数据集附带GDM参数文件，以及若干描述GDM模型输出结果的文件。

本数据集仅为全球众多生物区GDM模型中的两个案例。

本数据集的编译目的为测试打包为R语言包的调查缺口分析工具（Survey Gap Analysis Tool）。

数据为采用WGS84地理坐标系的ESRI浮点栅格文件（*.flt与*.hdr），分辨率为0.008333度，对应约250米的全球栅格尺度。

数据谱系：各生物区维管植物模型的相关信息已在附随的GDM参数文件'GDMready7_5_Params'中予以说明。另有PDF与TIFF图像文件描述了该模型的输出结果。相关方法的正式描述可参阅Hoskins AJ、Harwood TD、Ware C、Williams KJ、Perry JJ、Ota N、Croft JR、Yeates DK、Jetz W、Golebiewski M、Purvis A、Robertson T与Ferrier S（2020）发表于《Environmental Modelling & Software》第132卷，文章编号104806，DOI: https://doi.org/10.1016/j.envsoft.2020.104806，以及该论文的补充材料（https://www.sciencedirect.com/science/article/pii/S1364815220301225?via%3Dihub#appsec1）。