Multiscale bathymetric digital elevation models and derived topographic variables extending across the Great Barrier Reef

Multiscale bathymetric digital elevation models (DEMs) and derived topographic variables used to characterise the seascape environment spanning the Great Barrier Reef Marine Park Authority (GBRMPA) region. This data was collected to investigate the accuracy of open-source bathymetric DEMs and to assess the ecological relevance of multiscale bathymetric topographic variables for regional species distribution modelling (SDM) of coral species. The base DEMs were downloaded from two publicly available online sources: the Allen Coral Atlas (ACA; Allen Coral Atlas, 2022; www.allencoralatlas.org) at approximately 10m resolution and the DeepReef Explorer (www.deepreef.org) at approximately 30m (Beaman, 2017) and 100m (Beaman, 2010) resolutions. After processing, the base DEMs were generalised using a Gaussian pyramid algorithm: ACA from 15m to 30m, 60m, 120m, DeepReef from 30m to 60m and 120m, as well as DeepReef at 100m. From each DEM, eight topographic variables were derived: slope (SLO), eastness (EAST), northness (NORTH), vertical curvature (VCU), horizontal curvature (HCU), vector ruggedness measure (VRM), sky view factor (SVF), bathymetric position index (BPI). Variables are available as SAGA sdat files upon request. Variable values at all spatial resolutions from each bathymetry source are available as csv files: i) 15000 random points used to assess correlation and scatterplots, ii) 10000 random points used in MaxEnt SDM analyses, where points avoided areas that also contained presence data. Data was downloaded and processed by Annie Guillaume (EPFL, CH), under supervision of Stéphane Joost (EPFL, CH), Renata Ferrari (AIMS) and Line Bay (AIMS). Script to reproduce the production of variables, along with the corresponding topographic variable values used in this study are provided in the indicated dryad repository. The DEM variables from which the variables are derived are also available via the dryad repository Parameters associated with this collection: Depth (DEM), slope (SLO), eastness (EAST), northness (NORTH), vertical curvature (VCU), horizontal curvature (HCU), vector ruggedness measure (VRM), sky view factor (SVF), bathymetric position index (BPI)本数据集包含多尺度水深数字高程模型（bathymetric digital elevation models, DEMs）及衍生地形变量，用于表征大堡礁海洋公园管理局（Great Barrier Reef Marine Park Authority, GBRMPA）管辖海域的海洋景观环境。 本数据采集目的为探究开源水深DEM的精度，并评估多尺度水深地形变量在珊瑚物种区域物种分布模型（species distribution modelling, SDM）中的生态相关性。 基础DEM源自两个公开在线数据源：分辨率约10m的艾伦珊瑚地图集（Allen Coral Atlas, ACA；Allen Coral Atlas, 2022；www.allencoralatlas.org），以及分辨率分别约30m（Beaman, 2017）和100m（Beaman, 2010）的DeepReef Explorer（www.deepreef.org）。 经处理后，基础DEM通过高斯金字塔算法进行尺度泛化：ACA数据集从15m分别泛化为30m、60m、120m分辨率；DeepReef数据集则从30m泛化为60m、120m分辨率，同时保留其原始100m分辨率数据。 从每一套DEM中可提取8类地形变量：坡度（slope, SLO）、东向性（eastness, EAST）、北向性（northness, NORTH）、垂直曲率（vertical curvature, VCU）、水平曲率（horizontal curvature, HCU）、向量粗糙度指数（vector ruggedness measure, VRM）、天空视域因子（sky view factor, SVF）以及水深位置指数（bathymetric position index, BPI）。 变量数据可按需以SAGA sdat格式文件提供；各数据源不同空间分辨率下的变量取值以CSV格式文件提供，包括：① 用于相关性分析与散点图绘制的15000个随机采样点数据；② 用于MaxEnt物种分布模型分析的10000个随机采样点数据，此类采样点避开了已有物种存在记录的区域。 本数据集由Annie Guillaume（瑞士洛桑联邦理工学院，EPFL, CH）完成下载与处理，研究团队包括Stéphane Joost（瑞士洛桑联邦理工学院，EPFL, CH）、Renata Ferrari（澳大利亚海洋科学研究所，Australian Institute of Marine Science, AIMS）及Line Bay（澳大利亚海洋科学研究所，Australian Institute of Marine Science, AIMS）。 本研究中用于复现变量生成的脚本代码及对应地形变量取值已上传至指定的Dryad知识库；用于提取上述变量的原始DEM数据同样可通过Dryad知识库获取。 本数据集关联参数如下：水深（Depth, DEM）、坡度（slope, SLO）、东向性（eastness, EAST）、北向性（northness, NORTH）、垂直曲率（vertical curvature, VCU）、水平曲率（horizontal curvature, HCU）、向量粗糙度指数（vector ruggedness measure, VRM）、天空视域因子（sky view factor, SVF）以及水深位置指数（bathymetric position index, BPI）。