Skip to main content

Nonparametric Tests for Homogeneity of Species Assemblages: A Data Depth Approach

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Summary Testing homogeneity of species assemblages has important applications in ecology. Due to the unique structure of abundance data often collected in ecological studies, most classical statistical tests cannot be applied directly. In this article, we propose two novel nonparametric tests for comparing species assemblages based on the concept of data depth. They can be considered as a natural generalization of the Kolmogorov–Smirnov and the Cramér‐von Mises tests (KS and CM) in this species assemblage comparison context. Our simulation studies show that the proposed test is more powerful than other existing methods under various settings. A real example is used to demonstrate how the proposed method is applied to compare species assemblages using plant community data from a highly diverse tropical forest at Barro Colorado Island, Panama.

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1541-0420.2011.01573.x

Affiliations: 1: Department of Statistics, University of California, Riverside, California 92521, U.S.A. 2: Department of Botany & Plant Sciences, University of California, Riverside, California 92521, U.S.A.

Publication date: 2011-12-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more