Cyterski Mike, Barber Craig, Galvin Mike, Parmar Rajbir, Johnston John M, Smith Deron, Ignatius Amber, Prieto Lourdes, Wolfe Kurt
United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA.
Student Services Contractor, United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA.
Environ Model Softw. 2020 May 1;127. doi: 10.1016/j.envsoft.2020.104703.
The Piscine Stream Community Estimation System (PiSCES) provides users with a hypothesized fish community for any stream reach in the conterminous United States using information obtained from Nature Serve, the US Geological Survey (USGS), StreamCat, and the Peterson Field Guide to Freshwater Fishes of North America for over 1000 native and non-native freshwater fish species. PiSCES can filter HUC8-based fish assemblages based on species-specific occurrence models; create a community abundance/biomass distribution by relating relative abundance to mean body weight of each species; and allow users to query its database to see ancillary characteristics of each species (e.g., habitat preferences and maximum size). Future efforts will aim to improve the accuracy of the species distribution database and refine/augment increase the occurrence models. The PiSCES tool is accessible at the EPA's Quantitative Environmental Domain (QED) website at https://qed.epacdx.net/pisces/.
鱼类溪流群落估算系统（PiSCES）利用从自然服务机构、美国地质调查局（USGS）、StreamCat以及《北美淡水鱼类彼得森野外指南》获取的信息，为美国本土任何一段溪流提供一个假设的鱼类群落，涵盖1000多种本土和非本土淡水鱼类。PiSCES可以根据特定物种的出现模型筛选基于水文单元代码8（HUC8）的鱼类组合；通过将相对丰度与每个物种的平均体重相关联来创建群落丰度/生物量分布；并允许用户查询其数据库以查看每个物种的辅助特征（如栖息地偏好和最大体型）。未来的工作将致力于提高物种分布数据库的准确性，并完善/扩充出现模型。可在环境保护局（EPA）的定量环境领域（QED）网站https://qed.epacdx.net/pisces/上访问PiSCES工具。
