Record Display for the EPA National Library Catalog

RECORD NUMBER: 9 OF 11

Main Title Multivariate analysis in community ecology /
Author Gauch, Hugh G.,
Publisher Cambridge University Press,
Year Published 1982
OCLC Number 07577964
ISBN 052123820X; 9780521238205; 0521282403; 9780521282406
Subjects Biotic communities--Mathematics ; Ecology--Mathematics ; Multivariate analysis ; Biometry ; Statistics ; biometrics ; 4290 ecology: general--(NL-LeOCL)077603583 ; Biozèonose ; Multivariate Analyse ; èOkologie ; Ecologie ; Populatiedynamica ; Ecologia ; âEcosystèmes--Mathématiques ; âEcologie--Mathématiques ; Analyse multivarie
Additional Subjects Biotic communities--Mathematics ; Ecology--Mathematics ; Multivariate analysis
Internet Access
Description Access URL
Publisher description http://catdir.loc.gov/catdir/description/cam022/81009974.html
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKCM  QH541.15.M34G38 CEMM/GEMMD Library/Gulf Breeze,FL 10/08/1988
ELDM  QH541.15.M34G38 CCTE/GLTED Library/Duluth,MN 06/14/2002
ESBM Newport QH541.15.M34G38 CPHEA/PESD Library/Corvallis,OR 09/01/2022
Collation x, 298 pages : illustrations ; 24 cm
Notes
Includes bibliographical references (pages 248-294) and index.
Contents Notes
Ecologists are making increasing use of computer methods in analyzing ecological data on plant and animal communities. Ecological problems natually involve numerous variables and numerous individuals or samples. Multivariate techniques permit the summary of large, complex sets of data and provide the means to tackle many problems that cannot be investigated experimentally because of practical restraints. Ecologists are thus enabled to group similar species and similar sample sites together, and to generate hypotheses about environmental and historical factors that affect the communities. This timely book presents a full critical description of three methodologies-direct gradient analysis, ordination, and classification-from both theoretical and practical viewpoints. Both traditional and new methods are presented. Using a wide range of illustrative examples, Hugh Gauch provides an up-to-date synthesis of this field, which will be of interest to advanced students and ecologists. These mathematical tools are also used in a wide variety of other areas, from natural resource management and agronomy to the social and political sciences.