PROXIMITY and CORRELATION: Two new computer programs for mining phytosociological information held in herbarium databases using central Arizona as a test case

作     者：Landrum, Leslie R. Lafferty, Daryl 

作者机构：Arizona State Univ Sch Life Sci Tempe AZ 85287 USA 

出 版 物：《TAXON》 (分类学)

年 卷 期：2015年第64卷第5期

页      面：998-1016页

核心收录：

学科分类：0710[理学-生物学] 071001[理学-植物学] 07[理学] 

基　　金：United States National Science Foundation [DBI 9983132  BRC 0237418  DBI 0743827  DBI 0847966] 

主　　题：Arizona biotic communities computer programs dot product herbarium databases SEINet vegetational continuum 

摘      要：The SEINet database of herbarium specimens was queried with two new computer programs, PROXIMITY and CORRELATION, to discover associations between 81 species of trees and shrubs of central Arizona based on the associated-species field and coordinate data. Many associations correspond to previously described biotic communities. Various approaches to using data, programming and presenting results are demonstrated and discussed. Non-plant organismal data can be included in an analysis if they include georeferenced specimens. CORRELATION especially shows promise for developing whole community concepts based on museum specimen data of all kingdoms of organisms.