Global patterns and determinants of multiple facets of freshwater fishes beta diversity

Global patterns of freshwater fish species diversity and their natural and anthropogenic determinants are relatively well documented. Yet, determinants of fish dissimilarity (beta diversity) across river basins remain poorly understood. Here, we quantify taxonomic, functional, and phylogenetic beta diversity of freshwater fish across global river basins and identify the key environmental and historical drivers shaping these patterns. We used a global database of freshwater fishes, a trait database based on morphological descriptions and phylogenetic information calculated by phylogenetic distances. We assessed multiple facets of fish beta diversity and partitioned beta diversity into turnover and nestedness components to assess their contributions. Spearman correlation analysis was conducted to assess the relationships between them and their components. We then applied a boosted regression tree (BRT) model to assess their relationship with key environmental, spatial, and historical vari..., , # Global patterns and determinants of multiple facets of freshwater fishes beta diversity

Dataset DOI: [10.5061/dryad.dncjsxmbh](10.5061/dryad.dncjsxmbh)

#### Overview

This dataset accompanies the study *“Global patterns and determinants of multiple facets of freshwater fishes beta diversity”*. It contains basin-level species occurrence data, morphological trait data, phylogenetic information, environmental variables, and derived beta diversity metrics for global freshwater fish assemblages. All data processing, analyses, and figure generation were conducted in **R**.

#### File Structure

The archive **CodaAndData.zip** contains two main directories:

* `data/` – Data files used and generated in this study
* `R code/` – R scripts used for data processing, analysis, and figure production

#### Data Files (`data/`)

All data files are stored in **`.RData`** **format** and can be loaded in R using the `load()` function.

#### Description of data files

**tree_10705**\
Phylogenetic tree...,

全球淡水鱼类物种多样性的分布格局及其天然与人为驱动因子已得到较为充分的记录，但全球流域间鱼类群落相异度（β多样性，beta diversity）的驱动因子仍鲜为人知。本研究对全球流域内淡水鱼类的分类、功能及系统发育β多样性进行量化，并阐明塑造这些分布格局的关键环境与历史驱动因子。本研究依托全球淡水鱼类数据库、基于形态学描述构建的功能性状数据库，以及通过系统发育距离计算得到的系统发育信息开展研究。我们对鱼类β多样性的多个维度进行评估，并将β多样性拆解为周转组分与嵌套组分以分析其贡献占比。通过斯皮尔曼相关性分析，探究各维度β多样性及其组分间的关联关系。随后我们采用提升回归树（boosted regression tree, BRT）模型，评估其与关键环境、空间及历史变量[原文截断]的关联关系。
# 全球淡水鱼类多维度β多样性的分布格局及其驱动因子
数据集DOI: [10.5061/dryad.dncjsxmbh](10.5061/dryad.dncjsxmbh)
#### 数据集概况
本数据集配套于题为《全球淡水鱼类多维度β多样性的分布格局及其驱动因子》的研究。数据集包含全球淡水鱼类群落的流域级物种出现数据、形态性状数据、系统发育信息、环境变量以及衍生的β多样性指标。本研究所有数据处理、分析及图表生成均基于**R语言**完成。
#### 文件结构
压缩包**CodaAndData.zip**包含两个主要目录：
* `data/` — 本研究使用及生成的数据文件
* `R code/` — 用于数据处理、分析及图表制作的R脚本
#### 数据文件（`data/`目录下）
所有数据文件均采用**`.RData`**格式存储，可通过R语言的`load()`函数加载。
#### 数据文件说明
**tree_10705**：系统发育树[内容截断]