Autor: Martin Kent
Wydawca: Wiley
Dostępność: 3-6 tygodni
Cena: 300,30 zł
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ISBN13: |
9780471490937 |
ISBN10: |
0471490938 |
Autor: |
Martin Kent |
Oprawa: |
Paperback |
Rok Wydania: |
2011-11-25 |
Numer Wydania: |
2nd Edition |
Ilość stron: |
428 |
Wymiary: |
246x189 |
Tematy: |
AT |
Vegetation Description and Data Analysis: A Practical Approach,second edition is a fully revised and up–dated edition of thiskey text. The book takes account of recent advances in the fieldwhilst retaining the original reader–friendly approach to thecoverage of vegetation description and multivariate analysis in thecontext of vegetation data and plant ecology.
Since the publication of the hugely popular first edition therehave been significant developments in computer hardware andsoftware, new key journals have been established in the field andscope and application of vegetation description and analysis hasbecome a truly global field.
This new edition includes full coverage of new developments andtechnologies.
This contemporary and comprehensive edition of this well–knownand respected textbook will prove invaluable to undergraduate andgraduate students in biological sciences, environmental science,geography, botany, agriculture, forestry and biologicalconservation.
Fully international approach Illustrative case studies used throughout Now with new materialincluding: the nature of plant communities; induction and deductionin plant ecology; the potential relevance of Bayesian statisticalanalysis; recent advances in methods of ordination andclassification (cluster analysis) and links to spatial analysis; acomprehensive and up–to–date review of the wide range of computersoftware now available; the increasing importance of R–relatedsoftware Accessible, reader–friendly style Now with new and improved illustrationsAcknowledgements xi
Safety in the field xiii
Chapter 1 The nature of quantitative plant ecology andvegetation science 1
Chapter 2 Environmental gradients, plant communities andvegetation dynamics 23
Chapter 3 The description of vegetation in the field 49
Chapter 4 The nature and properties of vegetation data 101
Chapter 5 Basic statistical methods for understandingmultivariate analysis 139
Chapter 6 Ordination methods 171
Chapter 7 Phytosociology and the Z¨urich–Montpellier(Braun–Blanquet) School of subjective classification 273
Chapter 8 Numerical classification, cluster analysis andphytosociology 307
Chapter 9 Computer software for the analysis of vegetation andenvironmental/biotic data 359
Chapter 10 Future developments in vegetation science andquantitative plant ecology 369
References 371
Index 403
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