{"title":"Predicting survival in new environments through analytical GIS application","authors":"M.C. Rutherford , M. O'Callaghan , L.W. Powrie , J.L. Hurford , R.E. Schulze","doi":"10.1016/S0266-9838(96)00024-X","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":100485,"journal":{"name":"Environmental Software","volume":"11 1","pages":"113-121"},"PeriodicalIF":0.0000,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0266-9838(96)00024-X","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Software","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026698389600024X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
通过分析GIS应用预测新环境下的生存
预测的气候变化预计将影响许多生物种群,而与它们目前的平衡水平社区隶属关系无关。提出了一个模型,该模型利用环境响应面、扩散潜力、植物寿命和气候变化矢量来预测不同地形类型的各种植物种群的生存。这些类型包括来自南部非洲的实际地理信息系统案例,具有多个级别的景观渗透性和不连续性。示例包括满足不同植物种群在预期气候变化下的生存要求的地形坡度配置。
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