Comparison of climate envelope models developed using expert-selected variables versus statistical selection

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• 作者：Laura A. Brandt^a ; ^{Laura_brandt@fws.gov} ; Allison M. Benscoter^b ; ¹ ; Rebecca Harvey^b ; Carolina Speroterra^b ; David Bucklin^b ; Stephanie S. Romañ ; ach^c ; ^{sromanach@usgs.gov} ; James I. Watling^b ; ² ; Frank J. Mazzotti^b
• 关键词：Climate adaptation ; Conservation planning ; Expert opinion ; Florida ; Threatened and endangered species
• 刊名：Ecological Modelling
• 出版年：2017
• 出版时间：10 February 2017
• 年：2017
• 卷：345
• 期：Complete
• 页码：10-20
• 全文大小：1389 K
• 卷排序：345

文摘

Two variable selection. methods were used to create species distribution models for 15 species. Experts identified more important climate variables than the statistical method. Despite differences in variables, models had high performance metrics and moderate overlap. Statistical variable selection is a useful first step in creating species distribution models. Expert input and using multiple models can improve map outputs for conservation planning.