SPATIAL COVARIANCE IN PLANT COMMUNITIES: INTEGRATING ORDINATION, GEOSTATISTICS, AND VARIANCE TESTING

By H. Wagner. 2003

132 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/d5b18f3f2c2ee7fabf5eb6367690134dadfbe50b

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM) (2006, background): “…43 13 88. endre@umontreal.ca (P. Legendre), pedro.peres-neto@uregina.ca tion (Pettorelli et al., 2003) and community ecology (Borcard et al., 1992, Wagner, 2003, Borcard et al., 2004, Peres-Neto, 2004, Wagner, 2004). i n g 484 e c o l o g i c a l m o d e l l Spatial structures observed in…”
Community ecology in the age of multivariate multiscale spatial analysis (2012, methodology): “This leads to the variogram matrix (sensu Wagner 2003) or to the spatial correlation matrix (Wartenberg 1985) depending on whether the Geary (1954) or Moran (1950) indices were used to estimate spatial autocorrelation.”
Spatially explicit structural equation modeling (2014, methodology): “…the joint spatial patterns of more than one variable (Fortin and Dale 2005), multiscale ordination and spectral decomposition methods can be used to describe spatial patterns in community composition (ver Hoef and Glenn-Lewin 1989, Borcard and Legendre 2002, Wagner 2003, 2004, Borcard et al. 2004).”
DIRECT MULTI‐SCALE ORDINATION WITH CANONICAL CORRESPONDENCE ANALYSIS (2004, methodology): “Then C can be partitioned into an empirical variogram matrix (i.e., a series of distancedependent matrices C(h), one for each distance class h [Wagner 2003]).”
LINKING PATTERNS AND PROCESSES IN ALPINE PLANT COMMUNITIES: A GLOBAL STUDY (2005, methodology): “We selected covariance for our measurements of spatial pattern because it is symmetric around zero (unlike RV, which is constrained to values of zero and above), and because the interpretation of covariance is more straightforward (Wagner 2003).”
Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate (2013, methodology): “New methods have recently been proposed to learn about the multi-scale spatial structure of the data, and derived methods such as multi-scale ordination (Wagner 2003;Wagner 2004) and multi-scale variation partitioning (Peres-Neto et al. 2006).”
Rarefaction method for assessing plant species diversity on a regional scale (2004, methodology): “closer polygons are probably more similar in terms of species richness than distant ones) is eliminated through applying the rarefaction technique to this kind of data (Wagner 2003).”