Extract_Kerguelen_Plateau_Environmental_Layers

This dataset contains environmental layers used to model the predicted distribution of demersal fish bioregions for the paper: Hill et al. (2020) Determining Marine Bioregions: A comparison of quantitative approaches, Methods in Ecology and Evolution.It contains climatological variables from satellite and modelled data that represent sea floor and sea surface conditions likely to affect the distribution of demersal fish including: depth, slope, seafloor temperatures, seafloor current, seafloor nitrate, sea surface temperature, chlorophyll-a standard deviation and sea surface height standard deviation. Layers are presented at 0.1 degree resolution."prediction_space" is a Rda file for R that consists of two objects:env_raster: a raster stack of the environmental layerspred_sp: a data.frame version of the env_raster where some variables have been transformed for statistical analysis and bioregion prediction."Env_data_sources.xlsx" contains a description of each environmental variable and it's source.

该数据集包含用于模拟底层鱼类生物区预测分布的环境层，相关研究发表于论文：Hill等人（2020）《确定海洋生物区：定量方法的比较》，《生态学与进化方法》。它包含来自卫星和模型数据的气候变量，这些变量代表可能影响底层鱼类分布的海底和海面条件，包括：深度、坡度、海底温度、海底流、海底硝酸盐、海面温度、叶绿素a标准差以及海面高度标准差。这些层以0.1度分辨率呈现。"prediction_space"是一个适用于R语言的Rda文件，包含两个对象：env_raster：环境层的栅格堆栈；pred_sp：env_raster的data.frame版本，其中部分变量已针对统计分析和生物区预测进行了转换。"Env_data_sources.xlsx"包含每个环境变量及其来源的描述。