Water quality data and habitat suitability modeling results for Dreissenid mussels in Alaskan lakes

This data package provides in situ and modeled water quality information for Alaskan lakes. We compiled published and unpublished water quality data and supplemented these records with new data collection with numerous partners. The purpose of this dataset was to support a study of habitat suitability for invasive Dreissenid mussels, as the spread of Zebra and Quagga mussels (ZQM) to Alaska would disrupt freshwater ecosystems and important salmon fisheries. ZQM establishment is limited by dissolved calcium (Ca 2+). From this assembled dataset, we predicted Ca2+ concentrations and associated Dreissenid habitat suitability across Alaskan lakes using a randomForest model. Tabular and geospatial formats of water quality data and modeling results are provided along with the processing scripts.

本数据包涵盖阿拉斯加湖泊的原位（in situ）监测与模型模拟水质数据。我们整合了已发表与未发表的水质数据，并联合众多合作方开展新增数据采集工作以补充该数据集。本数据集旨在支撑入侵性斑贻贝（Dreissenid mussels）的栖息地适宜性研究——斑马贻贝与花斑贻贝（ZQM）一旦传入阿拉斯加，将会破坏当地淡水生态系统与重要的鲑鱼渔业资源。ZQM的种群定殖受水体溶解钙（Ca²+）浓度限制。基于本整合数据集，我们采用随机森林（randomForest）模型，对阿拉斯加全域湖泊的Ca²+浓度及与之相关的斑贻贝栖息地适宜性进行了预测。本数据包同时提供了水质数据与模型结果的表格格式与地理空间格式文件，以及配套的数据处理脚本。