On hierarchical partitioning of an ecological complexity function

被引：19

作者：

Anand, M ^{[1
]}

Orlóci, L ^{[1
]}

机构：

[1] Univ Western Ontario, Dept Plant Sci, London, ON N6A 5B7, Canada

来源：

ECOLOGICAL MODELLING | 2000年 / 132卷 / 1-2期

基金：

加拿大自然科学与工程研究理事会;

关键词：

algorithmic complexity; association; boreal; coding; community; entropy; information; model; pattern; scale; stratification; vegetation;

D O I：

10.1016/S0304-3800(00)00304-5

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

We examine a complexity function in terms of its partitionability across hierarchical levels. We use an ecological example and describe two models partitions by levels in the natural dominance structure of a plant community, and by levels in an analytical hierarchy, constructed from measured species associations. Our results help to answer the frequently asked question of how much the levels of a structured system contribute to total complexity. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：51 / 62

页数：12

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