Uncovering Climate Resilient Traits Through Ecological Niche Modeling of Cocoyam and Taro Wild Relatives Across Africa

The present dataset consists of training data, output files, and a project summary poster generated from environmental niche modelling (ENM) analyses of 68 crop wild relatives of taro (Colocasia esculenta) and cocoyam (Xanthosoma sagittifolium). Each component is seperated by crop and are provided to ensure reproducibility and further research on ecological modelling and biogeographic analyses. Xanthosoma & Colocasia Raw and Cleaned Data Format: CSV Contents: Raw data consists of original species occurrence records obtained from GBIF and iDigBio. These records include coordinates, taxonomic information, and associated metadata. No filtering or cleaning was applied beyond the initial data download. Cleaned data consists of records retained after data cleaning and spatial filtering. Records were examined for coordinate validity, spatial precision, and duplication, and further filtered to reduce sampling bias where applicable (e.g. spatial thinning). These data represent the final presence points used in model calibration and evaluatio Xanthosoma & Colocasia Pearson Correlation Matrices for Environmental Layers Format: CSV Contents: Pairwise Pearson correlation coefficients calculated among environmental predictor variables for each species. Xanthosoma & Colocasia Current Crop and Crop Wild Relative Projections Format: GeoTIFF (.tif) Contents: Raster projections representing current habitat suitability for the species, as estimated by ENMs calibrated using present-day environmental variables within Africa. The GeoTIFF files contain continuous values indicating relative suitability across the modelled region. Botany 2025 Poster Format: PDF (.pdf) Contents: Overview of ENM project including background, workflow, results, and future directions.本数据集包含针对68份芋属（Colocasia esculenta）与箭叶芋属（Xanthosoma sagittifolium）作物野生近缘种的生态位建模（environmental niche modelling, ENM）分析所生成的训练数据、输出文件及项目总结海报。所有组件均按作物分类整理，旨在保障生态建模与生物地理分析的可重复性，支撑相关后续研究。 ### 芋艿属与芋属原始及清洗后数据 格式：CSV 内容：原始数据为从GBIF与iDigBio获取的物种原始出现记录，包含坐标、分类学信息及关联元数据，仅完成初始下载，未进行任何过滤或清洗操作。清洗后数据为经数据清洗与空间过滤后保留的记录：对坐标有效性、空间精度及重复项进行核查，并根据实际需求进一步过滤以降低采样偏差（如空间稀疏化处理），该数据集为模型校准与评估所用的最终存在点数据。 ### 芋艿属与芋属环境图层皮尔逊相关矩阵 格式：CSV 内容：针对各物种的环境预测变量计算得到的两两皮尔逊相关系数。 ### 芋艿属与芋属当前作物及作物野生近缘种适生区预测结果 格式：GeoTIFF（.tif） 内容：该栅格预测结果代表各物种当前生境适宜性，由基于非洲当前环境变量校准的生态位模型估算得出。GeoTIFF文件包含连续数值，用以表征建模区域内的相对适宜度。 ### 2025年植物学年会海报 格式：PDF（.pdf） 内容：本生态位建模项目的概述文档，涵盖研究背景、分析流程、结果及未来研究方向。