Global distribution and environmental correlates of marine bioturbation

This repository contains the R scripts necessary for conducting the data analysis for the paper titled 'Global distribution and environmental correlates of marine bioturbation', authored by Shuang Zhang, Martin Solan, and Lidya Tarhan. It includes five R files, which should be executed in the following order: 01-Db_L_data_compilation: Initial data exploration and compilation (calculating average Db and L over time) 02-Db_L_data_explore: Further data exploration and analysis 03-Machine_learning_train: Building the machine learning framework 04-Machine_learning_predict: Using the trained machine learning framework to predict global Db and L values 05-MPA_analysis: Marine Protected Area (MPA) analysis The repository also contains all necessary data to run these scripts. In addition, this repository also contains the appendix figures for the bioturbation paper.本仓库包含题为《海洋生物扰动（marine bioturbation）的全球分布与环境关联因素》的论文开展数据分析所需的R脚本，作者为张爽（Shuang Zhang）、Martin Solan与Lidya Tarhan。 该仓库包含5个R脚本文件，需按以下顺序运行： 01-Db_L_data_compilation：初始数据探索与数据集整合（计算不同时段的Db与L平均值） 02-Db_L_data_explore：进一步的数据探索与分析 03-Machine_learning_train：构建机器学习框架 04-Machine_learning_predict：利用已训练完成的机器学习框架预测全球Db与L值 05-MPA_analysis：海洋保护区（Marine Protected Area, MPA）分析 本仓库同时包含运行上述脚本所需的全部数据集。此外，本仓库还附带该海洋生物扰动论文的附录插图。