Vegetation Description and Data Analysis :A Practical Approach

Publication subTitle :A Practical Approach

Author: Martin Kent  

Publisher: John Wiley & Sons Inc‎

Publication year: 2011

E-ISBN: 9781119944782

P-ISBN(Paperback): 9780471490937

P-ISBN(Hardback):  9780471490920

Subject: Q948.1 plant ecology

Language: ENG

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Description

Vegetation Description and Data Analysis: A Practical Approach, Second Edition is a fully revised and up-dated edition of this key text. The book takes account of recent advances in the field whilst retaining the original reader-friendly approach to the coverage of vegetation description and multivariate analysis in the context of vegetation data and plant ecology.

Since the publication of the hugely popular first edition there have been significant developments in computer hardware and software, new key journals have been established in the field and scope and application of vegetation description and analysis has become a truly global field. This new edition includes full coverage of new developments and technologies.
This contemporary and comprehensive edition of this well-known and respected textbook will prove invaluable to undergraduate and graduate students in biological sciences, environmental science, geography, botany, agriculture, forestry and biological conservation.

  • Fully international approach
  • Includes illustrative case studies throughout
  • Now with new material on: the nature of plant communities; transitional areas between plant communities; induction and deduction of plant ecology; diversity indices and dominance diversity curves; multivariate analysis in ecology.
  • Accessible, reader-friendly style
  • Now with new and improved illustrations

Chapter

Contents

pp.:  1 – 9

Preface to the second edition

pp.:  9 – 11

Acknowledgements

pp.:  11 – 13

Safety in the field

pp.:  13 – 15

Chapter 3 The description of vegetation in the field

pp.:  39 – 65

Chapter 4 The nature and properties of vegetation data

pp.:  65 – 117

Chapter 5 Basic statistical methods for understanding multivariate analysis

pp.:  117 – 155

Chapter 6 Ordination methods

pp.:  155 – 187

Chapter 7 Phytosociology and the Zürich-Montpellier (Braun-Blanquet) School of subjective classification

pp.:  187 – 289

Chapter 8 Numerical classification, cluster analysis and phytosociology

pp.:  289 – 323

Chapter 9 Computer software for the analysis of vegetation and environmental/biotic data

pp.:  323 – 375

Chapter 10 Future developments in vegetation science and quantitative plant ecology

pp.:  375 – 385

References

pp.:  385 – 387

Index

pp.:  387 – 419

Color Plate

pp.:  419 – 431

LastPages

pp.:  431 – 438

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