Multiple regression on distance matrices: a multivariate spatial analysis tool

By Jeremy W. Lichstein. Plant Ecology, 2007

695 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a1093f677792d9f8c855fc3f7696e0cf00252fb4

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Citations in the corpus

Quantifying distance of edge influence: A comparison of methods and a new randomization method (2011, background): “Randomization tests are becoming increasingly popular for different types of spatial analyses (e.g., Perry and Dixon 2002, Fagan et al. 2003, Lichstein 2007).”
Beta-diversity patterns elucidate mechanisms of alien plant invasion in mountains. (2013, positive): “First, we used regression on distance matrices (MRM) (Lichstein, 2007) to test the overall direction and the shape of the association of the single environmental and geographical correlates on species replacement (b-3) and richness difference (brich).”
Evaluating nesting microhabitat for ground-nesting bees using emergence traps (2014, methodology): “Next, we examined whether nesting incidence (presence–absence) or abundance of the entire community of nesting bees collected in e-traps could be explained by the spatial pattern of nest location or was correlated to the distribution of nesting resources within the site, using multiple regression on”
High mammal species turnover in forest patches immersed in biofuel plantations (2017, methodology): “We used Multiple Regressions on distance Matrices (MRM; see Lichstein, 2007) to examine the effects of landscape metrics on the two components of β-diversity.”
Functional homogenization exceeds taxonomic homogenization among European fish assemblages (2014, methodology): “To disentangle the drivers of changes in taxonomic dissimilarity we used multiple regression on distance matrices (MRM; Lichstein, 2007) with historical taxonomic dissimilarity, total number of native species extirpations, total number of exotic species introductions and total number of translocatio”
Community ecology in the age of multivariate multiscale spatial analysis (2012, background): “…have recently been developed and diversified (e.g., Borcard et al. 1992, Borcard and Legendre 2002, Wagner 2004, Dray et al. 2006, Ferrier and Guisan 2006, Lichstein 2007, Soininen et al. 2007, Blanchet et al. 2008a), we aim to highlight here how they can be used to address the above questions.”
The relationship of tropical bird communities to tree species composition and vegetation structure along an Andean elevational gradient (2013, methodology): “We examined the relationship of bird species composition to tree species composition, elevation and vegetation structure through multiple regression on distance matrices (MRM; Lichstein, 2007).”
Comparing methods for estimating flow duration curves at ungauged sites (2012, methodology): “Although more complex regression methods can be used (e.g., Ferrier et al., 2007; Lichstein, 2007), we used multiple linear regression to relate the FDC dissimilarities to the dissimilarities calculated from the catchment characteristics (Table 6).”
Contrasting effects of natural and anthropogenic stressors on beta diversity in river organisms (2013, methodology): “Finally, the relationships between total beta diversity, turnover and nestedness dissimilarity matrices and the matrices of environmental distance due to stress intensity differences were examined using multiple regression models for distance matrices (hereafter MRM; Lichstein, 2007).”
Disturbance alters beta‐diversity but not the relative importance of community assembly mechanisms (2015, methodology): “We evaluated the significance of the regression coefficients using 2000 permutations of the response variable (Lichstein 2007).”
Phylogenetic alpha and beta diversity in tropical tree assemblages along regional-scale environmental gradients in northwest South America (2014, methodology): “To evaluate the relationship between environmental variables and the phylogenetic beta diversity, we used multiple regressions on distance matrices (MRM) available in the ‘ecodist’ package in R (Lichstein 2007).”
Dispersal traits drive the phylogenetic distance decay of similarity in Neotropical stream metacommunities (2015, methodology): “Because we expected that phylobetadiversity would be better explained by shared components of environmental and geographical distance, we used multiple regressions on distance matrices (MRM; Lichstein, 2007) (H1b).”
Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide. (2015, methodology): “…of environmental factors explained differences in beta diversity better than single factors, by including multiple explanatory variables using the ‘multiple regression on matrices’ function (an extension of partial Man-tel analysis, Lichstein 2007) in the ‘ecodist’ package in R (R Core Team 2013).”
An approach to estimate nonparametric flow duration curves in ungauged basins (2009, methodology): “In fact, distance matrices have been frequently used in the biological and ecological sciences [e.g., Legendre, 1993; Lichstein, 2007].”