Journal ArticleDOI
Partialling out the spatial component of ecological variation
TLDR
In this paper, a method is proposed to partition the variation of species abundance data into independent components: pure spatial, pure environmental, spatial component of environmental influence, and undetermined.Abstract:
A method is proposed to partition the variation of species abundance data into independent components: pure spatial, pure environmental, spatial component of environmental influence, and undetermined. The new method uses pre-existing techniques and computer programs of canonical ordination. The intrinsic spatial component of com- munity structure is partialled out of the species-environment relationship in order to see if the environmental control model still holds. The method is illustrated using oribatid mites in a peat blanket, forest vegetation data, and aquatic heterotrophic bacteria. In this latter example, the new method is shown to be complementary to another approach based on partial Mantel tests.read more
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Book
Experimental Design and Data Analysis for Biologists
Gerry P. Quinn,Michael J. Keough +1 more
TL;DR: An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data is as discussed by the authors, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models Multivariate techniques, including classification and ordination, are then introduced.
Journal ArticleDOI
Predictive habitat distribution models in ecology
TL;DR: A review of predictive habitat distribution modeling is presented, which shows that a wide array of models has been developed to cover aspects as diverse as biogeography, conservation biology, climate change research, and habitat or species management.
Journal ArticleDOI
A review of methods for the assessment of prediction errors in conservation presence/absence models
Alan H. Fielding,John Bell +1 more
TL;DR: Thirteen recommendations are made to enable the objective selection of an error assessment technique for ecological presence/absence models and a new approach to estimating prediction error, which is based on the spatial characteristics of the errors, is proposed.
Journal ArticleDOI
Fitting multivariate models to community data: a comment on distance‐based redundancy analysis
TL;DR: The distance-based redundancy analysis (db-RDA) as mentioned in this paper is a nonparametric multivariate analysis of ecological data using permutation tests that is used to partition the variability in the data according to a complex design or model, as is often required in ecological experiments.
Journal ArticleDOI
Microbial biogeography : putting microorganisms on the map
Jennifer B. H. Martiny,Brendan J. M. Bohannan,James H. Brown,Robert K. Colwell,Jed A. Fuhrman,Jessica L. Green,M. Claire Horner-Devine,Matthew D. Kane,Jennifer Adams Krumins,Cheryl R. Kuske,Peter J. Morin,Shahid Naeem,Lise Øvreås,Anna-Louise Reysenbach,Val H. Smith,James T. Staley +15 more
TL;DR: Current evidence confirms that, as proposed by the Baas-Becking hypothesis, 'the environment selects' and is, in part, responsible for spatial variation in microbial diversity, but recent studies also dispute the idea that 'everything is everywhere'.
References
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Journal Article
The Detection of Disease Clustering and a Generalized Regression Approach
TL;DR: The technic to be given below for imparting statistical validity to the procedures already in vogue can be viewed as a generalized form of regression with possible useful application to problems arising in quite different contexts.
Journal ArticleDOI
An Ordination of the Upland Forest Communities of Southern Wisconsin
Roger H. Bray,John T. Curtis +1 more
TL;DR: It is shown that nature of unit variation is a naajor problenl in systematies, and that whether this variation is diserete, continuous, or in some other form, there is a need for appliGation of (uantitative and statistical methods.
Journal ArticleDOI
Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis
TL;DR: In this article, a new multivariate analysis technique, called canonical correspondence analysis (CCA), was developed to relate community composition to known variation in the environment, where ordination axes are chosen in the light of known environmental variables by imposing the extra restriction that the axes be linear combinations of environmental variables.
Book
Data Analysis in Community and Landscape Ecology
TL;DR: The aim of this book is to provide a history of numerical methods in practice in the context of ecological data collection and its application to Dune meadow data.
Related Papers (5)
CANOCO Reference Manual and CanoDraw for Windows User's Guide: Software for Canonical Community Ordination (version 4.5)
C.J.F. ter Braak,Petr Šmilauer +1 more