CO-CORRESPONDENCE ANALYSIS: A NEW ORDINATION METHOD TO RELATE TWO COMMUNITY COMPOSITIONS

By C. T. ter Braak, A. P. Schaffers. 2004

180 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Plant Science

View Paper: https://www.semanticscholar.org/paper/c18baa03f25a40857e23ef58f533e18a9fd5320e

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In Ecology, Evolution, Behavior and Systematics

In Plant Science

Citations in the corpus

Effects of resource availability and climate on the diversity of wood‐decaying fungi (2010, background): “The fact that humans contribute to global warming and therefore to the location of climate zones has generated considerable efforts to predict the future distribution of species, ecosystems and biomes (Thomas et al. 2004; Parmesan 2006; Jensen et al. 2008; Svenning, Kerr & Rahbek 2009).”
Habitat diversity of central European fens in relation to environmental gradients and an effort to standardise fen terminology in ecological studies (2006, background): “By analogy, bryophytes were more closely related to the species composition of the vascular plants than to the measured water chemistry (Hájková and Hájek, 2004a; ter Braak and Schaffers, 2004).”
Grazing management of calcareous grasslands and its implications for the conservation of beetle communities (2005, methodology): “The axis 1 (the axis explaining the greatest variance in the plant community data) site scores from this DCA were then used as an environmental variable in the beetle RDA (Table 1) (Ter Braak and Schaffers, 2004).”
Assembly mechanisms determining high species turnover in aquatic communities over regional and continental scales (2016, methodology): “Biotic variables were derived from a co-correspondence analysis (CoCA; ter Braak and Schaffers 2004) in which the community structure of one group (either plants or cladocerans) is used to predict the community structure of the other group, based on composition covariance between the two…”
From Classical to Canonical Ordination (2012, methodology): “To relate two communities, ter Braak and Schaffers (2004) proposed a model of cocorrespondence analysis.”
Partial least squares regression as an alternative to current regression methods used in ecology (2009, background): “…Finsinger et al. 2007), biodiversity mapping (Schmidtlein 2005), definition of ecological indicators (Amand et al. 2004, Potapova et al. 2004), community ecology (ter Braak and Schaffers 2004, Carrascal and Alonso 2006), modelling of phenology (Gordo et al. 2008) and ecomorphology (Hoffsten 2004).”
The conservation value of farmland ponds: Predicting water beetle assemblages using vascular plants as a surrogate group (2010, methodology): “Co-correspondence analysis (Co-CA, see ter Braak and Schaffers, 2004 and Schaffers et al., 2008 for a full description of this method), was used to quantify the strength of plant community data in predicting the water beetle species composition.”
Does pollen-assemblage richness reflect floristic richness? A review of recent developments and future challenges (2016, unknown): “…in the 219 vegetation should be given an estimated simple abundance or frequency value to allow numerical 220 comparisons between the vegetation composition and the modern pollen-assemblage data by, for 221 example, co-correspondence analysis (ter Braak and Schaffers, 2004; Felde et al., 2014a).”
What causes large fires in Southern France (2013, unknown): “The first step of the co-inertia analysis (Ter Braak and Schaffers, 2004) was to conduct a correspondence analysis on the dependent variables, then a principal component analysis on the explanatory variables.”