Measuring ecological complexity

被引:132
作者
Parrott, Lael [1 ]
机构
[1] Univ Montreal, Dept Geog, Complex Syst Lab, Montreal, PQ H3C 3J7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Ecological complexity; Complex systems; Ecological orientors; Entropy; STRUCTURAL COMPLEXITY; INDICATING ECOSYSTEM; NETWORK STRUCTURE; SPECIES RICHNESS; DIGITAL IMAGES; BIODIVERSITY; CLASSIFICATION; STABILITY; DYNAMICS; PATTERNS;
D O I
10.1016/j.ecolind.2010.03.014
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Complexity is an elusive term in ecology that is often used in different ways to describe the state of an ecosystem. Ecological complexity has been linked to concepts such as ecological integrity, diversity and resilience and has been put forth as a candidate ecological orientor. In this article, the concept of complexity as a system attribute is presented and candidate measures of ecological complexity are reviewed. The measures are distinguished by their ability to characterize the spatial, temporal, structural or spatiotemporal signatures of an ecosystem. Many of these measures have been adapted from disciplines such as physics and information theory that have a long history of quantifying complexity, however more work needs to be clone to develop techniques adapted to ecological data. It is argued that if appropriate measures are developed and validated for ecosystems, ecological complexity could become a key ecological indicator. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1069 / 1076
页数:8
相关论文
共 71 条
[71]   Using self-dissimilarity to quantify complexity [J].
Wolpert, David H. ;
Macready, William .
COMPLEXITY, 2007, 12 (03) :77-85