MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS

By G. De’ath. 2002

1,295 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/91ec1751d473b16f3b31328c1c9453be84431831

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Assessing species and community functional responses to environmental gradients: which multivariate methods? (2012, methodology): “InRDAmRegTree (Method C), the functional groups resulted from a multivariate regression tree (mRegTree; De’Ath 2002,) which used the axes 1 and 2 of a RDA.”
The bacterial biogeography of British soils. (2011, methodology): “A sums of squares multivariate regression tree was calculated within the mvpart package, using the using the one-standard error rule on the cross-validated relative error to determine the number of terminal nodes (De’ath, 2002).”
Tropicalization of fish assemblages in temperate biogeographic transition zones (2014, methodology): “Descriptive models To understand which local-scale oceanographic variables influenced the presence and absence of rocky reef fish species, multivariate regression trees (MRT) were run using multivariate partitioning (De’Ath 2002; ‘mvpart’ package v1.”
Spatial modelling of biodiversity at the community level (2006, methodology): “Journal compilation © 2006 British Ecological Society, Journal of Applied Ecology, 43, 393–404 approach, referred to as ‘multivariate regression trees’ (MRT), has been described independently by De’ath (2002).”
Developing seed zones and transfer guidelines with multivariate regression trees (2011, methodology): “Multivariate regression trees (MRT) are based on the same principles as Classification and Regression Trees (CART) but extended to more than one response variable (De’Ath 2002).”
Influence of boreal forest succession and dead wood qualities on saproxylic beetles (2007, methodology): “…Entomological Society, Agricultural and Forest Entomology, 9, 3–16 Structural variables were compared with species assemblages using multivariate regression trees (MRT) ( De’Ath, 2002 ), which have been used successfully to relate insect communities to environmental factors ( Work et al. , 2004 ).”
Modelling tree height–diameter relationships in multi-species and multi-layered forests: A large observational study from Northeast China (2014, methodology): “Multivariate regression tree (MRT) analysis was performed, following De’ath (2002, 2010), to classify habitat types using topographic conditions and species composition.”
A survey on multi‐output regression (2015, background): “De’ath 49 claimed that MRT also inherits characteristics of univariate regression trees: they are easy to construct and the resulting groups are often simple to interpret; they are robust to the addition of pure noise response and/or feature variables; they automatically detect the interactions…”
Understanding what controls the spatial distribution of fish populations using a multi-model approach (2011, background): “…Neural Networks (ANN, Maravelias et al., 2003, Joy and Death, 2004, Wieland and JarreTeichmann, 1997), regression trees (De'ath and Fabricius, 2000, De'ath, 2002, Sutton et al., 2005, Stratoudakis et al., 1998, Usio, 2007) and their boosted form (Friedman et al., 2000, Friedman and Meulma, 2003,…”