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© Springer International Publishing AG, part of Springer Nature 2018
D. Borcard et al., Numerical Ecology with R, Use R!,
https://doi.org/10.1007/978-3-319-71404-2
413
Abdi, H., Williams, L.J., Valentin, D.: Multiple factor analysis: principal component analysis for
multitable and multiblock data sets. WIREs Comput Stat. 5, 149–179 (2013)
Anderson, M.J.: Distinguishing direct from indirect effects of grazers in intertidal estuarine
assemblages. J. Exp. Mar. Biol. Ecol. 234, 199–218 (1999)
Anderson, M.J.: Distance-based tests for homogeneity of multivariate dispersions. Biometrics. 62,
245–253 (2006)
Anderson, M.J., Ellingsen, K.E., McArdle, B.H.: Multivariate dispersion as a measure of beta
diversity. Ecol. Lett. 9, 683–693 (2006)
Anderson, M.J., Crist, T.O., Chase, J.M., Vellend, M., Inouye, B.D., Freestone, A.L., Sanders, N.J.,
Cornell, H.V., Comita, L.S., Davies, K.F., Harrison, S.P., Kraft, N.J.B., Stegen, J.C., Swenson,
N.G.: Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist.
Ecol. Lett. 14, 19–28 (2011)
Baselga, A.: Partitioning the turnover and nestedness components of beta diversity. Glob. Ecol.
Biogeogr. 19, 134–143 (2010)
Baselga, A.: The relationship between species replacement, dissimilarity derived from nestedness,
and nestedness. Glob. Ecol. Biogeogr. 21, 1223–1232 (2012)
Beamud, S.G., Diaz, M.M., Baccala, N.B., Pedrozo, F.L.: Analysis of patterns of vertical and
temporal distribution of phytoplankton using multifactorial analysis: acidic Lake Caviahue,
Patagonia, Argentina. Limnologica. 40, 140–147 (2010)
Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: a practical and powerful
approach to multiple testing. J R Stat Soc B. 57, 289–300 (1995)
Bernier, N., Gillet, F.: Structural relationships among vegetation, soil fauna and humus form in a
subalpine forest ecosystem: a Hierarchical Multiple Factor Analysis (HMFA). Pedobiologia. 55,
321–334 (2012)
Bivand, R.S., Pebesma, E.J., Gomez-Rubio, V.: Applied spatial data analysis with R. In: Use R
Series, 2nd edn. Springer, New York (2013)
Blanchet, F.G., Legendre, P., Borcard, D.: Forward selection of explanatory variables. Ecology. 89,
2623–2632 (2008a)
Blanchet, F.G., Legendre, P., Borcard, D.: Modelling directional spatial processes in ecological
data. Ecol. Model. 215, 325–336 (2008b)
Borcard, D., Legendre, P.: Environmental control and spatial structure in ecological communities:
an example using Oribatid mites (Acari, Oribatei). Environ. Ecol. Stat. 1, 37–61 (1994)
Blanchet, F. G., Legendre, P, Maranger, R., Monti, D., Pepin, P.: Modelling the effect of directional
spatial ecological processes at different scales. Oecologia. 166, 357–368 (2011)
© Springer International Publishing AG, part of Springer Nature 2018
D. Borcard et al., Numerical Ecology with R, Use R!,
https://doi.org/10.1007/978-3-319-71404-2
413