Species distribution models and georeferenced occurrence records for Hawaiian Arthropods (Laupala, Drosophila, Tetragnatha, and Nesosydne)

Focal Taxa: Laupala, AMC Clade Drosophila, Tetragnatha, and Nesosydne. We assembled comprehensive occurrence datasets of all known records for each of the four lineages (included here), modeled their distributions using Maxent across the entire archipelago, and quantified niche overlap. Final base layers Mean Annual Air Temperature (°C), Mean Annual Rainfall (mm), Vegetation Height (m), and Normalized Difference Vegetation Index (NDVI) were selected based on optimum AUC values of trial models run. Rasters were obtained for the Rainfall Atlas of Hawaii, Climate of Hawaii, and USGS and resampled to a ~1km by ~1km resolution using smoothing for quantitative variables and nearest neighbor resampling for categorical variables (Giambelluca et al. 2013, Giambelluca et al. 2014, Hawaii Soil Survey 2000). Data presented here are the full set of georeferenced occurrence records, the filtered model inputs, and the final SDM models in ASCII format for each species. See the supplementary material in the corresponding publication (Hiller et al. 2017) for details on the georeferencing protocols used and a list of museum specimen numbers. Note that not all models were included in subsequent analyses due to poor quality (<3 records as model input or low AUC score).

焦点类群（Focal Taxa）：Laupala属、AMC分支果蝇（AMC Clade Drosophila）、长脚蛛属（Tetragnatha）与Nesosydne属。我们针对上述四个支系的所有已知记录构建了全面的出现数据集（已随本文附带），采用Maxent模型在整个群岛范围内模拟其分布，并量化了生态位重叠程度。最终选取的基础环境图层包括年平均气温（℃）、年平均降水量（mm）、植被高度（m）以及归一化差分植被指数（Normalized Difference Vegetation Index, NDVI），选取依据为试运行模型的最优受试者工作特征曲线下面积（Area Under Curve, AUC）值。本研究从《夏威夷降水图集》《夏威夷气候》数据集以及美国地质调查局（United States Geological Survey, USGS）获取栅格数据，并将其重采样至约1km×1km的分辨率：定量变量采用平滑重采样，分类变量采用最近邻重采样（Giambelluca等，2013；Giambelluca等，2014；夏威夷土壤调查，2000）。本文附带的数据包含全套地理参考出现记录、经过筛选的模型输入数据，以及各物种类别的最终物种分布模型（Species Distribution Model, SDM），格式为ASCII。有关所用地理参考流程的细节以及博物馆标本编号列表，请参阅对应发表文献（Hiller等，2017）的补充材料。需注意，部分模型因质量不佳（模型输入记录少于3条或AUC值较低）未纳入后续分析。