New PDF release: An Introduction to Vegetation Analysis: Principles, practice

By David Causton

ISBN-10: 9401197377

ISBN-13: 9789401197373

ISBN-10: 9401197393

ISBN-13: 9789401197397

TO plants research rules, perform and interpretation D.R.CAUSTON division of Botany and Microbiology, college collage of Wales, Aberystwyth London UNWIN HYMAN Boston Sydney Wellington © D. R. Causton, 1988 This ebook is copyright below the Berne conference. No copy with no permission. All rights reserved. released by way of the educational department of Unwin Hyman Ltd 15/17 Broadwick road, London W1V 1FP, united kingdom Allen & Unwin Inc., eight Winchester position, Winchester, Mass. 01890, united states Allen & Unwin (Australia) Ltd, eight Napier highway, North Sydney, NSW 2060, Australia Allen & Unwin (New Zealand) Ltd in organization with the Port Nicholson Press Ltd, 60 Cambridge Terrace, Wellington, New Zealand First released in 1988 British Library Cataloguing in e-book info Causton, David R. An creation to plants research: ideas, perform and intepretation. 1. Botany-Ecology-Mathematics I. name 581.5'247 QK901 ISBN-13: 978-0-04-581025-3 e-ISBN-13: 978-94-011-7981-2 DOl: 10.1007/978-94-011-7981-2 Library of Congress Cataloging-in-Publication information Causton, David R. An creation to crops research. Bibliography: p. comprises index. 1. Botany-Ecology-Methodology. 2. Plant communities-Research-Methodology. three. plants surveys. four. crops category. I. identify. QK90I.C33 1987 581.5 87-19327 ISBN-13: 978-0-04-581025-3 Typeset in 10 on 12 element occasions through Mathematical Composition Setters Ltd, Salisbury and Biddies of Guildford Preface This ebook has been written to assist scholars and their academics, at a variety of degrees, to appreciate the foundations, a number of the equipment, and methods of studying vegetational and environmental information got within the box.

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Extra resources for An Introduction to Vegetation Analysis: Principles, practice and interpretation

Sample text

This particularly applies to the commoner species in the data set; but since it is not always apparent before the field work is carried out which are the commoner species, it means that all species should be quantitatively assessed. Although, as we'shall see, only qualitative data are required for classifications and may also be preferable for ordinations of primary survey data, quantitative records can provide valuable additional information (see the case studies). Estimation of cover values by eye and expression in terms of the scales given in Chapter 1, or as a percentage, is by far the commonest method, but any of the vegetation parameters described in the next section could be used.

Another difficulty with quantitative data in a primary vegetation survey involving many species is the fact that species which vary so greatly in their size and morphology are being compared. For example, it is really meaningless to compare densities of, say, hogweed (Heracleum sphondy/ium) with the moss Polytrichum formosum. Similarly, it is equally useless to compare the cover of, say, Circaea lutetiana with that of Anemone nemorosa (wood anemone). In spring the shoots of the former species are only just beginning to emerge, while those of the latter are at full development; and in summer Circaea lutetiana has its maximum cover while the aerial parts of Anemone nemorosa have died back.

Classification and ordination The results of a vegetation analysis are designed to highlight relationships: either between stands (normal analysis, see below), or between species (inverse analysis), or both. An obvious way of doing this is to classify, say, the stands such that there is more floristic affinity among the stands of any one group than there is between stands comprising different groups. Similarly, species may be classified into groups in which the members of any one group would be expected to have ecological similarities.

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An Introduction to Vegetation Analysis: Principles, practice and interpretation by David Causton


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