Measurements for terrestrial vegetation

Measurements for terrestrial vegetation / Charles D. Bonham.

Measurements for Terrestrial Vegetation, 2nd 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 characteristi...

Full description

Saved in:
Bibliographic Details
Main Author: Bonham, Charles D., 1937-
Format: eBook
Language:English
Published: Chichester, West Sussex, UK ; Hoboken, NJ : Wiley-Blackwell, 2013.
Edition:Second edition.
Subjects:
Plant communities > Measurement.
NATURE > Ecology.
NATURE > Ecosystems & Habitats > Wilderness.
SCIENCE > Environmental Science.
SCIENCE > Life Sciences > Ecology.
Plant communities > Measurement
Online Access:Click for online access
Table of Contents:
  • Measurements for Terrestrial Vegetation; Contents; Preface; About the companion website; 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 quadrats2.2.5 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 distribution3.2.3 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 imagery4.4.1 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 intercept6.2.2 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.

Similar Items