Latitudinal beta-diversity gradient of riverine macroinvertebrate: Interplays of climatic and land use factors

Climate change and land use have major effects on macroinvertebrate biodiversity, but it is unclear how they shape spatial variations, particularly at large scales. This study explored the latitudinal patterns of beta diversity in riverine macroinvertebrate assemblages and examined how they are shaped by climate and land use. Location: China (18 ºN–48 ºN) from 2006 to 2021. The major taxa studied were riverine macroinvertebrates. This is a comprehensive dataset covering macroinvertebrate taxa from 42 watersheds across China was compiled to explore the latitudinal patterns of taxonomic, functional, and phylogenetic beta diversities, including turnover and nestedness components. Generalized additive models were used to assess the impacts of climatic and land-use variables, selected from 20 climatic and 10 land-use candidates, on latitudinal patterns of beta diversity. The study revealed that taxonomic and functional beta diversities shared a non-monotonic latitudinal pattern with a m..., We compiled a dataset of macroinvertebrate taxa of 42 riverine catchments across China, covering a broad inland region from 48 ° and 18 ° north latitude. Using China’s climate zoning (https://www.resdc.cn/data.aspx?DATAID=243) as a reference, we characterized China into five latitude zones: Zone A (42-48 °N), Zone B (36-42 °N), Zone C (30-36 °N), Zone D (24-30 °N), and Zone E (18-24 °N). Taxonomic data were primarily obtained from peer-reviewed studies published between 2006 and 2021. Macroinvertebrate traits were quantified using a binary coding approach that consisted of assigning each taxon to specific trait categories based on its predominant characteristics. Taxonomic distances based on the path lengths in Linnean taxonomic trees were employed as a proxy for the actual phylogeny. For climatic variables, average elevation, long-term temperature, and long-term precipitation data for the 1970–2000 period at a resolution of 1 km were retrieved from the WorldClim database..., , # Data for: Latitudinal beta-diversity gradient of riverine macroinvertebrate: Interplays of climatic and land use factors

[https://doi.org/10.5061/dryad.m0cfxppdz](https://doi.org/10.5061/dryad.m0cfxppdz)

## Description of the data and file structure

Raw_Data.zip includes beta data file, land use data file, environment variables file, and R code.

Beta Data File: Contains data for calculating taxonomic, functional traits, and phylogenetic beta diversity across five latitudinal zones, as well as their trait miss file.

Land Use Data File: Provides land use percentage data, transformed using arcsine square root, across five latitudinal regions, used to calculate land use heterogeneity indicators.

Environment variables File: Contains climate and land use variables relevant to the study.

R code: R code for this analysis

See the file \"Description of the data and file structure.txt\" for folder layout and file naming.

### Files and variables

#### File: Raw_Data.zip

**Description:** 
...,

气候变化与土地利用对大型无脊椎动物（macroinvertebrate）生物多样性具有显著影响，但二者如何塑造其空间变异格局，尤其是在大尺度下的作用机制仍不明确。本研究探究了河流大型无脊椎动物群落的β多样性（beta diversity）纬度格局，并解析了气候与土地利用对其的调控作用。
研究区域：中国（18°N–48°N），时间跨度为2006年至2021年。本研究聚焦的主要类群为河流大型无脊椎动物。
本研究整合了横跨中国42个流域的大型无脊椎动物类群数据，以解析分类学、功能及系统发育β多样性的纬度格局，其中包括周转（turnover）与嵌套（nestedness）组分。研究采用广义可加模型（Generalized Additive Models），从20个气候候选变量与10个土地利用候选变量中筛选有效变量，评估其对β多样性纬度格局的影响。本研究发现，分类学与功能β多样性呈现出非单调的纬度格局，其[原文此处内容截断]。

本研究整合了横跨中国42个河流集水区的大型无脊椎动物类群数据，涵盖了北纬18°至48°的广阔内陆区域。参照中国气候分区（https://www.resdc.cn/data.aspx?DATAID=243），本研究将研究区划分为5个纬度带：A带（42°–48°N）、B带（36°–42°N）、C带（30°–36°N）、D带（24°–30°N）以及E带（18°–24°N）。
分类学数据主要来源于2006年至2021年间发表的同行评议研究成果。大型无脊椎动物的功能性状采用二元编码法进行量化：依据各分类单元的主导特征将其归入特定的性状类别。基于林奈分类树（Linnean taxonomic trees）的路径长度计算的分类学距离被用作实际系统发育关系的替代指标。
气候变量方面，本研究从WorldClim数据库获取了1970–2000年时段、分辨率为1km的平均海拔、长期气温及长期降水数据。

# 数据集主题：河流大型无脊椎动物β多样性纬度梯度：气候与土地利用因子的交互作用
DOI: https://doi.org/10.5061/dryad.m0cfxppdz

## 数据与文件结构说明
原始数据压缩包（Raw_Data.zip）包含β多样性数据文件、土地利用数据文件、环境变量文件以及R代码脚本。
1. **β多样性数据文件**：包含用于计算5个纬度带的分类学、功能性状及系统发育β多样性的数据，同时附带性状缺失文件。
2. **土地利用数据文件**：提供经过反正弦平方根变换的5个纬度区域的土地利用占比数据，用于计算土地利用异质性指标。
3. **环境变量文件**：包含本研究涉及的气候与土地利用相关变量。
4. **R代码脚本**：用于本研究数据分析的R代码。
详细的文件夹布局与文件命名规则请参阅"数据与文件结构说明.txt"文件。

### 文件与变量
#### 文件：Raw_Data.zip
**描述：**……（原文此处内容截断）