Overview

A complete guide to the theoretical and practical aspects of vegetation analysis. Two chapters are devoted to actual case studies, and should enable the reader to understand exactly how a wide range of analytical methods can be applied to data acquired in the field. The first two chapters discuss the purpose of vegetation analysis and the statistical approaches involved. Strategies employed in the planning and execution of field work are thoroughly considered, and chapter three looks at the fundamental principles which underlie the numerical techniques used in working out results. Other chapters explain the methodology applied in processing the numerical information. This latter section deals with such topics as classifications, ordination, and correlation between the vegetation and its environment, and is designed to facilitate more accurate ecological interpretation of data. Assuming an elementary knowledge of statistics, this book provides a unified, detailed guide to vegetation analysis.

Full Product Details

Author:   David R. Causton
Publisher:   Kluwer Academic Publishers Group
Imprint:   Kluwer Academic Publishers
Weight:   0.730kg
ISBN:  

9780045810246

ISBN 10:   0045810249
Pages:   342
Publication Date:   October 1987
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1 Introduction.- Nature of vegetation and analytical approaches.- Purposes of vegetation analysis.- Phytosociological and more objective methods.- Samples.- Types of data.- 2 Field methods.- Primary survey - many species.- More detailed field work - one or a few species.- Plotless sampling.- 3 Fundamental principles of analytical methods.- The geometric model.- Classification and ordination.- Normal and inverse analyses.- Qualitative and quantitative data.- Species of low occurrence in a data set - retain or discard?.- 4 Case studies - introduction.- Artificial Data.- Iping Common - a lowland heath.- Coed Nant Lolwyn - a deciduous wood.- 5 Association between species and similarity between stands.- Concepts.- Qualitative data.- Quantitative data.- Comparisons of similarity coefficients.- 6 Classification.- Normal Association Analysis.- Types of classification.- Divisive monothetic methods.- Agglomerative polythetic methods.- Divisive polythetic methods.- Comparison of the methods by the examples results.- Inverse classifications.- Nodal Analysis (Lambert & Williams 1962).- 7 Ordination.- A classification of ordinations.- Direct Gradient Analysis - one factor.- Direct Gradient Analysis - many factors.- Indirect Gradient Analysis - one factor.- Indirect Gradient Analysis - many factors (ordination sensu stricto).- Polar ordination.- Non-polar ordination.- Comparisons of ordination methods.- 8 Correlations between vegetation and environment.- Single species.- Several species.- Environmental factors in associations.- 9 Case studies analyses.- Iping Common.- Coed Nant Lolwyn.- Concluding remarks on vegetation analysis results.- References.- Indices.

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions