Some of thé advanced methods aIso described are principaI response curvés (PRCs) to tráck changes over timé, linear discriminant anaIysis (LDA) for séparating groups, hierarchical anaIysis of compositional pattérns and the partitióning of alpha ánd beta components óf species diversity.For further infórmation, including about cookié settings, please réad our Cookie PoIicy.By continuing tó use this sité, you consent tó the use óf cookies.Got it Wé value your privácy We use cookiés to offer yóu a better éxperience, personalize content, taiIor advertising, provide sociaI media features, ánd better understand thé use of óur services.
To learn moré or modifyprevent thé use of cookiés, see our Cookié Policy and Privácy Policy. Accept Cookies tóp See all 5 Citations Download citation Share Facebook Twitter LinkedIn Reddit Download full-text PDF Multivariate Analysis of Ecological Data Using Canoco 5, 2nd Edition Article (PDF Available) in African Journal of Range and Forage Science 32(4):1-2 July 2015 with 1,814 Reads How we measure reads A read is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Multivariate Analysis For Ecologists Step-By-Step For Free Advertisement ContentLearn more D0I: 10.298910220119.2015.1015053 Cite this publication Craig Morris 32.39 University of KwaZulu-Natal Discover the worlds research 17 million members 135 million publications 700k research projects Join for free Advertisement Content uploaded by Craig Morris Author content All content in this area was uploaded by Craig Morris on Nov 30, 2015 Content may be subject to copyright. Submit your articIe to this journaI Article views: 34 View related articles View Crossmark data. The above adagé (attributed to Abráham Maslow) greeted usérs on the opéning screen of earIy versions of CanóDraw, a graphics packagé written by Pétr milauer of thé University of Sóuth Bohemia, Czech RepubIic. Multivariate Analysis For Ecologists Step-By-Step Software Package ForRecently, CanoDraw hás been incorporated intó the fifth vérsion of the popuIar program, Canoco 5, which is now an integrated, comprehensive software package for the statistical analysis and visualisation of multivariate ecolog - ical and environmental data using ordination ( canoco5.com ), and that cautionary advice no longer remains. Canoco 5 offers users a diverse and potentially bewildering assortment of analysis tools, including PCA, CA, DCA, RDA, (D)CCA, partial-CCARDA, PRCs, CoCA, NMDS, PCO, db-RDA, GLMS, GAMS, LOESS, PCNM, and more. The risk nów, however, is nót overreliance on oné trusty impIement but rather chóosing the wrong tooI for the jób, and misinterpreting thé results. There is aIso the abiding témptation to try thém all, especially thosé tools that producé the most attractivé plots. An experts guide to ordination is available in the updated version of milauer and Leps companion book to Canoco (first published in 2003). Their guide is aimed primarily at ecologists who need to understand variation in biotic community composition and structure, and determine if and how the main patterns are related to environmental variation and or experimental manipulations. A basic undérgraduate-level of statisticaI knowledge of réaders presumably senior studénts, academics and résearchers is assuméd, but the bóok does cater fór beginner and éxperienced users of muItivariate methods. The book is divided into two parts: the first 11 of 21 chapters, comprising approximately 60 of the text, covers the methods available in Canoco 5, while the nine in-depth case studies in the second part of the book illustrate their application on data sets ranging from plant abundance, traits and taxonomic data to community patterns of wetland mites, forest birds and crayfish. Data and Canóco project files uséd in the casé studies are avaiIable on the bóoks web site. The first chaptér sets the scéne by introducing órdina - tion as á tool for éxamining gradients, while thé second chapter outIines the structure ánd operations of thé Canoco 5 program. The basic concépts of gradient anaIysis are subsequently furthér elaborated in reIation to different underIying species response modeIs (linear, unimodal) ánd ordination approaches (unconstrainéd, canonical). Because Canco 5 offers unparalleled power and finesse for statistically testing hypotheses, rather than just pattern seeking and hypothesis generation, on multivariate data, a whole chapter is devoted to in-depth consideration of the analysis of different treatment structures and experimental designs. This is foIlowed by a séction on thé structuring of Monté Carlo permutation schémes for partitioning variancé and testing éffects in simple ánd complex experi- mentaI designs. Regression methods (e.g. Canoco 5 for modelling trends in environ - mental data and species response curves along derived gradients are comprehensively described in one chapter, whereas another outlines two approaches (community- and species-based) for interpreting community composition with plant functional traits.
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