Measurements for Terrestrial Vegetation 2nd Edition by Charles Bonham ISBN 0470972580 9780470972588

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Product details:

ISBN 10: 0470972580

ISBN 13: 978-0470972588

Author:  Charles D. Bonham 

Measurements for Terrestrial Vegetation 2nd Edition: 

Measurements for Terrestrial Vegetation, 2^nd Edition presents up-to-date methods for analyzing species frequency, plant cover, density and biomass data. Each method is presented in detail with a full discussion of its strengths and weaknesses from field applications through statistical characteristics of bias and use of the correct probability distribution to describe and analyze data. This practical book also covers the use of satellite imagery to obtain measurement data on cover, density and biomass. Field data collection includes current applications of statistical sampling and analysis designs that should be used to obtain and analyze these data.

This new and thoroughly updated edition of a classic text will be essential reading for everyone involved in measuring and assessing vegetation and plant biomass, including researchers and practitioners in vegetation science, plant ecology, forestry, global change scientists and conservation scientists. 

• Provides a comprehensive catalogue of sampling, surveying and measuring techniques in vegetation science
• Updated to include new technologies and developments in the field
• New coverage of prediction models for large areas, including satellite mapping and remote sensing techniques
• Includes up-to-date applications of statistical sampling and analysis designs used to obtain and analyse data Reviews the strengths and weaknesses of each technique, allowing an informed choice of alternative approaches
• Clear diagrams to explain best-practice in methodology 

 The companion website for this book can be found at www.wiley.com/go/bonham/measurements

 

Measurements for Terrestrial Vegetation 2nd Edition Table of contents:

1. Introduction

• 1.1 Historical brief
• 1.2 Units of measure
• 1.3 Choice of method
  • 1.3.1 Vegetation characteristics
  • 1.3.2 Biometrics and econometrics
• 1.4 Variation in vegetation
• 1.5 Observational units
• 1.6 Sampling
• 1.7 Frequency
• 1.8 Cover
• 1.9 Density
• 1.10 Biomass
• 1.11 Measurements with remote sensing
• 1.12 Monitoring and evaluation
• 1.13 Overview and summary
• 1.14 Bibliography

2. Sampling units for measurements

• 2.1 Frequency
• 2.2 Cover
  • 2.2.1 Points
  • 2.2.2 Point frames
  • 2.2.3 Point line
  • 2.2.4 Grid quadrats
  • 2.2.5 Line intercept
  • 2.2.6 Areas
  • 2.2.7 Plotless units
• 2.3 Density
  • 2.3.1 Plot size
  • 2.3.2 Shape of plots
  • 2.3.3 Line transects
  • 2.3.4 Distance methods
• 2.4 Biomass
  • 2.4.1 Plot characteristics
  • 2.4.2 Indirect methods
• 2.5 Tree measurements
  • 2.5.1 Tree heights
  • 2.5.2 Units of measure for tree diameters
  • 2.5.3 Tree crown cover
• 2.6 Bibliography

3. Statistical concepts for field sampling

• 3.1 Characterization of data
  • 3.1.1 Measures of data location
  • 3.1.2 Measures of dispersion
• 3.2 Principles of data behavior
  • 3.2.1 Patterns of data commonly observed
  • 3.2.2 The normal distribution
  • 3.2.3 Sample statistics and the normal distribution
  • 3.2.4 Confidence limits
• 3.3 Sample size
  • 3.3.1 When available budget is too small
  • 3.3.2 Sample size for non-normal data
• 3.4 Data distributions
  • 3.4.1 Bernoulli data distribution
  • 3.4.2 Geometric data distribution
  • 3.4.3 Pascal data distribution
  • 3.4.4 Negative binomial data distribution
  • 3.4.5 Binomial data distribution
  • 3.4.6 Poisson data distribution
• 3.5 Bibliography

4. Spatial sampling designs for measurements

• 4.1 Simple random sampling
• 4.2 Cluster and systematic sampling
• 4.3 Two-stage sampling design
• 4.4 A role for satellite imagery
  • 4.4.1 Sampling units
  • 4.4.2 Spatial sampling
  • 4.4.3 Studies of large areas
• 4.5 On-ground large-scale spatial analyses
• 4.6 Bibliography

5. Frequency

• 5.1 Brief history and definition
• 5.2 Estimates of frequency
  • 5.2.1 Influences of size and shape of the plot
  • 5.2.2 Requirements for valid comparisons
• 5.3 Minimal area and frequency
• 5.4 Plot size considerations
• 5.5 Applications for frequency data
  • 5.5.1 Prediction and monitoring
• 5.6 Considerations
• 5.7 Bibliography

6. Cover

• 6.1 Basal area techniques
  • 6.1.1 Diameter rule
• 6.2 Intercept techniques
  • 6.2.1 Point intercept
  • 6.2.2 Grid-quadrat frame
  • 6.2.3 Vertical point frame
  • 6.2.4 Horizontal point frame
  • 6.2.5 Single points
• 6.3 Line-intercept methods
• 6.4 Crown diameter and canopy closure method
• 6.5 Variable plot methods
• 6.6 Semi-quantitative methods
• 6.7 Bibliography

7. Density

• 7.1 Related measurements
  • 7.1.1 Frequency
  • 7.1.2 Abundance
• 7.2 Limitations of the density estimate
• 7.3 Quadrat techniques
  • 7.3.1 Distribution
  • 7.3.2 Quadrat size and shape
  • 7.3.3 Strip or rectangular quadrats
  • 7.3.4 Considerations
• 7.4 Distance methods
  • 7.4.1 Random populations
  • 7.4.2 Distance methods for random and non-random populations
• 7.5 Line transect
• 7.6 Comments
• 7.7 Bibliography

8. Biomass

• 8.1 Herbaceous biomass
  • 8.1.1 Harvesting
  • 8.1.2 Measurement of biomass
  • 8.1.3 Non-destructive methods
  • 8.1.4 Productivity
  • 8.1.5 Considerations of herbaceous biomass sampling
• 8.2 Shrub biomass
  • 8.2.1 Non-destructive methods of shrub biomass
  • 8.2.2 Considerations of shrub biomass sampling
• 8.3 Forest biomass
  • 8.3.1 Regression models of biomass estimation
  • 8.3.2 Bark biomass
• 8.4 Tree foliage biomass
• 8.5 Considerations for tree biomass sampling
  • 8.5.1 Annual production of tree foliage
  • 8.5.2 Production of tree biomass
• 8.6 Selection of sampling units for tree biomass
  • 8.6.1 Sampling procedures
• 8.7 Bibliography

9. Monitoring and evaluation

• 9.1 Mapping units
  • 9.1.1 Conventional mapping
  • 9.1.2 Satellite imagery mapping
  • 9.1.3 Naming vegetation units
  • 9.1.4 Describing vegetation units
• 9.2 Basic considerations
• 9.3 Sampling and monitoring vegetation
  • 9.3.1 Individual plant approach
  • 9.3.2 Multispecies approach
• 9.4 Selection of a monitoring procedure
  • 9.4.1 Vegetation measurements
  • 9.4.2 Spectral imagery techniques
  • 9.4.3 Weight estimate methods
• 9.5 Models versus measurements for monitoring
• 9.6 Case studies for remote sensing
• 9.7 Plant species evaluations
  • 9.7.1 Plant association
  • 9.7.2 Diversity indices
• 9.8 Bibliography

 

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