Improving the analyses of nestedness for large sets of matrices

被引：355

作者：

Guimaraes, Paulo R., Jr.

Guimaraes, Paulo

机构：

[1] Univ Estadual Campinas, Inst Biol, BR-13083970 Campinas, SP, Brazil

[2] CSIC, Estac Biol Donana, Integrat Ecol Grp, E-41080 Seville, Spain

[3] Daitan Labs, Galleria Off, Campinas, SP, Brazil

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2006年 / 21卷 / 10期

关键词：

biogeography; community assembly; ecological networks;

D O I：

10.1016/j.envsoft.2006.04.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Nestedness is a property of binary matrices of ecological data and quantified by the matrix's temperature, T. The program widely used to calculate T is Nestedness Temperature Calculator (NTC). NTC analyses matrices individually, turning the analysis of large sets time-consuming. We introduce ANINHADO, a program developed to perform rapid and automatic calculation of T over 10,000 matrices. ANINHADO can be useful to minimize the time spent in analysis and to compare real data against a variety of null models that typically generate a large number of replicates. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：1512 / 1513

页数：2

共 4 条

[1] THE MEASURE OF ORDER AND DISORDER IN THE DISTRIBUTION OF SPECIES IN FRAGMENTED HABITAT [J].