Partitioning the variation in a plot-by-species data matrix that is related to n sets of explanatory variables
By Økland Rune Halvorsen. 2003
110 citations recorded by the source corpus.
Subfields: Ecological Modeling, Environmental Chemistry, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/427c4a74dec0c218a0df688059c0ef20ada5201f
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In Ecological Modeling
In Environmental Chemistry
In Nature and Landscape Conservation
Citations in the corpus
- Disentangling relationships between habitat conditions, disturbance history, plant diversity, and American black cherry (Prunus serotina Ehrh.) invasion in a European temperate forest (2007, methodology): “…analyses with variation partitioning (RDA-VP): (1) P, E, and I as explanatory variables and D as response variable; (2) P, D, and I as explanatory variables and E as response variable; and (3) P, E, and D as explanatory variables and I as response variable (Borcard & Legendre, 2002; Økland, 2003).”
- The BIOKLIM Project: Biodiversity Research between Climate Change and Wilding in a temperate montane forest - The conceptual framework (2009, methodology): “To this end, different multivariate approaches such as partial variance (Økland 2003), hierarchical partitioning (cHevan & suTHerland 1991), the application of generalized linear models (mccullougH & nelder 1989) or maximally selected rank statistics (HoTHorn & lausen 2003) could for example be…”