{"title":"The Invasive Species Forecasting System","authors":"J. Schnase, N. Most, R. Gill, Peter L. A. Ma","doi":"10.1109/GEOINFORMATICS.2009.5293333","DOIUrl":null,"url":null,"abstract":"The Invasive Species Forecasting System provides computational support for the generic work processes found in many regional-scale ecosystem modeling applications. ISFS has been designed specifically to help resource managers understand the potential distribution of invasive terrestrial plant species. Decision support tools built using ISFS allow a user to load point occurrence field sample data for a plant species of interest and quickly generate habitat suitability maps for geographic regions of management concern, such as a national park, monument, forest, or refuge. The approach taken here could provide a new model for the agile delivery of data and services to a wide range of regionalized, geospatial decision support applications.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 17th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The Invasive Species Forecasting System provides computational support for the generic work processes found in many regional-scale ecosystem modeling applications. ISFS has been designed specifically to help resource managers understand the potential distribution of invasive terrestrial plant species. Decision support tools built using ISFS allow a user to load point occurrence field sample data for a plant species of interest and quickly generate habitat suitability maps for geographic regions of management concern, such as a national park, monument, forest, or refuge. The approach taken here could provide a new model for the agile delivery of data and services to a wide range of regionalized, geospatial decision support applications.