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Multivariate analysis in community ecology / Hugh G. Gauch, Jr.

Van Pelt Library QH541.15.M34 G38
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Format:
Book
Author/Creator:
Gauch, Hugh G., Jr., 1942-
Series:
Cambridge studies in ecology ; 1.
Cambridge studies in ecology ; 1
Language:
English
Subjects (All):
Biotic communities--Mathematics.
Biotic communities.
Ecology--Mathematics.
Ecology.
Multivariate analysis.
Physical Description:
x, 298 pages ; 24 cm.
Place of Publication:
Cambridge [Cambridgeshire] ; New York : Cambridge University Press, [1982]
Summary:
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.
Contents:
Historical perspective 2
The two-way data matrix 4
Aspects of community data 7
Multivariate methods 12
Evaluation of multivariate methods 29
The human factor 30
Successive refinement 35
Purposes of multivariate analysis 37
2 Sampling methods 43
General considerations 44
Standard community sampling procedures 63
Environmental and historical data 70
3 Direct gradient analysis 72
Basic purposes and example 72
Methods 78
Results 79
Data set properties 96
Simulated data 102
Discussion 104
4 Ordination 109
Five conceptual spaces 110
The purposes of ordination 118
Ordination techniques 120
Evaluation of ordination techniques 164
Interpretation and presentation of results 168
5 Classification 173
Classification theory 174
Classification techniques 181
Evaluation of classification techniques 203
Discussion 209
6 Applications 211
General recommendations 211
Applied community ecology 221
Related fields 231
Distant fields 236
Discussion 240
Appendix Available computer programs 246.
Notes:
Includes index.
Bibliography: pages 248-294.
ISBN:
052123820X
OCLC:
7577964

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