1-km Resolution Species Distribution Models for 1,657 Chinese Freshwater Fish Species

# 1-km Resolution Species Distribution Models for 1,657 Chinese Freshwater Fish Species **Version:** 1.0 **Date:** 2025-06-12 **DOI:** [https://doi.org/10.5281/zenodo.15644992](https://doi.org/10.5281/zenodo.15644992) **Contact:** Dekui He ([e-mail]) **Address** Institute of Hydrobiology, Chinese Academy of Sciences ## Overview This dataset contains spatial predictions of freshwater fish species distributions across China, developed using two standardized species distribution modeling (SDM) approaches. The SDMs support national-scale conservation gap analysis and biodiversity planning. The modeling framework follows the methods established by **Tao et al. (2023)**, ensuring consistency in variable selection, resolution, and spatial strategy. All models were generated at a **1-km spatial resolution** and aligned with China's national freshwater river network. ## Contents - **3314 GeoTIFF (.tif) raster files (3.86G)**, representing: - 1,657 species modeled using the **basin-clipping ("loose") method** - 1,657 species modeled using the **point-buffering ("strict") method**- `species_list.csv`: Metadata for each species (scientific name, family)- `example_visualization.R`: Example R script to load and visualize raster layers ## File Naming Convention Each raster file is named using the scientific name of the species: **Examples:**- `Acipenser_sinensis.tif` Files from each modeling method are stored separately under the `loose/` and `strict/` directories. ## Usage Notes - Raster files are in WGS84 geographic coordinate system (EPSG:4326), with 1-km spatial resolution.- Users can read these layers in any GIS software (e.g., QGIS, ArcGIS) or load them programmatically in R or Python. ## Citation If you use this dataset, please cite: - Chen, J., Ding, L., He, D. (2025). *1-km resolution species distribution models for 1,657 Chinese freshwater fish species*. *Zenodo*. [https://doi.org/10.5281/zenodo.15644992](https://doi.org/10.5281/zenodo.15644992) - Tao, J., Ding, C., Chen, J., Ding, L., Brosse, S., Heino, J., ... & He, D. (2023). *Boosting freshwater fish conservation with high‐resolution distribution mapping across a large territory*. *Conservation Biology*, **37**, e14036. [https://doi.org/10.1111/cobi.14036](https://doi.org/10.1111/cobi.14036)# 1657种中国淡水鱼类的1千米分辨率物种分布模型数据集 **版本：1.0** **发布日期：2025-06-12** **DOI：**[https://doi.org/10.5281/zenodo.15644992](https://doi.org/10.5281/zenodo.15644992) **联系人：**何德奎（[e-mail]） **单位：**中国科学院水生生物研究所 ## 概述 本数据集包含采用两种标准化物种分布模型（Species Distribution Model, SDM）方法构建的中国全境淡水鱼类物种分布空间预测结果，可支撑国家级尺度的保护空缺分析与生物多样性规划工作。 本建模框架遵循Tao等人（2023）确立的方法，确保变量选择、分辨率与空间策略的一致性。所有模型均以**1千米空间分辨率**生成，并匹配中国国家级淡水河网体系。 ## 数据内容 - **3314个GeoTIFF（.tif）栅格文件（总计3.86GB）**，包含两类模型结果： - 采用**流域裁剪（“宽松”）法**构建的1657个物种分布模型 - 采用**点缓冲（“严格”）法**构建的1657个物种分布模型 - `species_list.csv`：各物种的元数据（包含学名、科属信息） - `example_visualization.R`：用于加载并可视化栅格图层的R语言示例脚本 ## 文件命名规则 每个栅格文件以对应物种的学名命名： **示例：**- `Acipenser_sinensis.tif` 不同建模方法生成的文件分别存储于`loose/`和`strict/`目录下。 ## 使用说明 - 栅格文件采用WGS84地理坐标系（EPSG:4326），空间分辨率为1千米。 - 用户可通过任意GIS软件（如QGIS、ArcGIS）读取这些图层，或在R或Python中通过编程方式加载。 ## 引用规范 若使用本数据集，请引用如下文献： - Chen, J., Ding, L., He, D. (2025). *1-km resolution species distribution models for 1,657 Chinese freshwater fish species*. *Zenodo*. [https://doi.org/10.5281/zenodo.15644992](https://doi.org/10.5281/zenodo.15644992) - Tao, J., Ding, C., Chen, J., Ding, L., Brosse, S., Heino, J., 等及何德奎. (2023). *通过大范围高分辨率分布制图推进淡水鱼类保护工作*. *Conservation Biology*, **37**, e14036. [https://doi.org/10.1111/cobi.14036](https://doi.org/10.1111/cobi.14036)