Data associated with the article "Effect of upscaling nature-based coastal protection on estuarine biodiversity using foreshores and transitional polders"

This dataset contains the data and R code used in the manuscript: <em>Effect of Upscaling Nature-Based Coastal Protection on Estuarine Biodiversity Using Foreshores and Transitional Polders</em>.The study presents an integrated modeling approach to predict the long-term biodiversity outcomes of nature-based coastal protection schemes in estuarine environments. We employ a Bayesian hierarchical model as a species distribution model to estimate the distributions of plants and benthic animals under varying environmental conditions.The dataset includes:Species distribution data: Observations of benthos and plant species collected from the Western Scheldt estuary, located in the southwestern Netherlands.Environmental variables: Corresponding abiotic factors influencing species distributions.R code: Scripts used for data processing, model implementation, and result visualization.本数据集收录了研究论文《基于潮间带与转型圩田的规模化自然海岸防护对河口生物多样性的影响》（原英文标题：Effect of Upscaling Nature-Based Coastal Protection on Estuarine Biodiversity Using Foreshores and Transitional Polders）中所用的数据与R语言代码。 本研究提出了一种集成建模方法，用以预测河口环境中自然海岸防护方案的长期生物多样性效应。 研究采用贝叶斯分层模型（Bayesian hierarchical model）作为物种分布模型，以估算不同环境条件下植物与底栖动物的空间分布。 本数据集涵盖以下内容： 1. 物种分布数据：采自荷兰西南部西谢尔德特河口（Western Scheldt estuary）的底栖生物与植物物种观测数据。 2. 环境变量：影响物种分布的对应非生物因子数据集。 3. R语言代码：用于数据处理、模型实现与结果可视化的脚本文件。