title: Indices for detecting differences in species composition: some simplifications of RDA and CCA.
abstract: We provide algebraic simplifications for the redundancy analysis (RDA) eigenvalue and the canonical correspondence analysis (CCA) eigenvalue in the special case of permanent plots sampled twice. The indices for RDA and CCA are interrelated and are intuitively interpretable. These simplifications also apply to simple split-plot designs and to a balanced design with two independent samples.
authors.affiliation: Department of Botany, Oklahoma State University, Stillwater, Oklahoma 74078, USA. mike.palmer@okstate.edu
authors.forename: Michael W
authors.initials: MW
authors.lastname: Palmer
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: McGlinn
authors.forename: Lars
authors.initials: L
authors.lastname: Westerberg
authors.forename: Per
authors.initials: P
authors.lastname: Milberg
mesh_terms: D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D008954:Models, Biological