Forest Mensuration (2nd edition)
Laar, Anthonie van, Akça, Alparslan
Van Laar and Akça's popular text book, Forest Mensuration, was first published in 1997.
Like that first edition, this modern update is based on extensive research, teaching and practical
experience in both Europe, and the tropics and subtropics. However, it has also been extensively revised,
and now includes chapters on remote sensing and the application of aerial photographs and satellite imagery.
Hardcover 383 pp ISBN 9781402059902
As with its predecessor, this book assumes no advanced knowledge of statistical methods,
and combines practical techniques with important historical and disciplinary context. The
result is a strong balance between a handbook on traditional mensuration methods, and a valuable reference
on the many recent research and inventory-related innovations which have emerged in recent years.
Written in a highly accessible style, the book is aimed primarily at undergraduate students and forest practitioners
- and now includes a wide range of worked examples which will provide guidance for readers wishing to process
their own data. However, with its wide scope, and including many new instruments for forest measurement,
the book will also act as an extremely useful reference material for postgraduate students and forest scientists.
Written for undergraduate and postgraduate students, forest practitioners
2. Statistical Prerequisites. 2.1 Introduction. 2.2 Scales and units of measurement. 2.3
Graphical presentation of data. 2.4 Descriptive statistics. 2.5 Probability distributions.
2.6 Estimation. 2.7 Regression and correlation analysis. 2.8 Moving average. 2.9 Smoothening by
fitting equations. 2.10 Freehand fitting.
3. Instruments. 3.1 Diameter measuring instruments. 3.2 Relascopes and prisms. 3.3 Tree height.
3.4 Blume-Leiss range-traces drum. 3.5 Tree crown and foliage. 3.6 Short-term radial growth responses.
3.7 Increment cores. 3.8 Bark thickness. 3.9 Recent developments in instrumentation.
4. Single Tree
Measurements. 4.1 Measurements on standing trees. 4.2 Volume, log classes and weight of felled trees.
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5. Measurement of Stands. 5.1 Introduction. 5.2 Age. 5.3 Mean diameter. 5.4 Diameter distributions.
5.5 Stand tables. 5.6 Stand height. 5.7 Stand volume. 5.8 Spatial distribution of trees. 5.9 Stand density.
6. Taper Tables and Functions. 6.1 Taper tables. 6.2 Stem profile models.
7. Tree Volume Tables and Equations. 7.1 Introduction. 7.2 Volume equations with one predictor variable.
7.3 Equations with two predictor variables. 7.4 Equations with more than two predictor variables.
7.5 Merchantable volume.
8. Tree and Stand Biomass. 8.1 Introduction. 8.2 Biomass components. 8.3 Tree level regression models.
8.4 Additivity of biomass components. 8.5 Dummy-variables for tree species. 8.6 Ratio estimators and
9. Growth and Yield. 9.1 Definitions. 9.2 The growth of single trees. 9.3 Site class and site index.
9.4 The growth of stands.
10. Sampling for Forest Inventories. 10.1 Introduction. 10.2 Plot sampling. 10.3 Point sampling.
10.4 Simple random sampling. 10.5 Error propagation. 10.6 Stratified random sampling.
10.7 Regression and ratio estimators. 10.8 Double sampling (Two-phase sampling).
10.9 Cluster sampling. 10.10 Multistage sampling. 10.11 Strip sampling.
10.12 Sampling with unequal selection probabilities. 10.13 Systematic sampling. 1
0.14 Sampling proportions. 10.15 Estimating changes. 10.16 Line intersect sampling.
11. Remote Sensing in Forest Mensuration. 11.1 Introduction. 11.2 Fundamentals of aerial photography.
11.3 Dendrometric data. 11.4 Estimation of stand volume. 11.5 The estimation of volume increment.
A. Symbols, Greek letter.
B. Diameter data of sampling trees.
C. Sample tree data for fitting stand height curves.
D. Conversion factors for linear, square, cubic and weight measures.
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