SylbV01-00-00. pmd

554
VII. Suggested Reading
Clutter JL, Fortson JC, Pienaar LV, Brister GH and Bailey RL. 1992. 
Timber Management: A
Quantitative Approach. 
Krieger Publishing Company.
Davis LS and Johnson KN. 1987. 
Forest Management.
3rd Ed. McGraw-Hill.
Evans J. 1982. 
Plantation Forestry in the Tropics
. Clarendon Press.
Johnson PS, Shifley SR and R. Rogers. 2009. 
Self-thinning and Stand Density
. 
The Ecology
and Silviculture of Oaks
. CABI, Cambridge, MA.
Luna RK. 1989. 
Plantation Forestry in India
. International Book distributors.
Vanclay JK. 1994. 
Modeling Forest Growth and Yield: Application to Mixed Tropical Forests.
CAB International.
Lecture Schedule
Sr. No.
Topic
No. of Lecture(s)
Theory
1.
Principles of tree and stand growth and yield
02
2.
Habitat types; site quality; site index
02
3.
Growth functions – empirical, exponential, allometry and Backman’s
growth functions
03
4.
Growth pattern and growth increment curve. Growth cycle and phases
02
5.
Quantifying site quality: Methods – tree and stand height data,
periodic height growth
02
6.
Techniques – guide curves, difference equations, parameter prediction
02
7.
Stand density and stocking, measures of density: –3/2 power law of
self-thinning, point density, competition indices
03
8.
Control of growing stock to achieve specific management objectives –
Growth-growing stock relations, Full site occupancy, Onset of
competitive interactions. Langsaeter’s hypothesis, stand density
index and techniques for translating this understanding into
rational density management regimes
03
9.
Techniques: stand density management diagrams and stocking charts.
Construction and use of stand density management diagrams.
Designing density management regimes to suit specific management
objectives
03
10.
Predicting growth and yield: normal and empirical yield tables,
stand growth and yield equations, stand table projections
03
11.
Simulation models: whole-stand models, size-class distribution
models, single tree/ distance independent and distance-dependent
models, process models, linkage of models at different levels
04
12.
Evaluation, calibration, verification, and validation of forest growth
and yield prediction systems. Introduction to existing forest growth
and yield simulators
03
Total
32
Practical
1.
Assessment of growth characteristics
2
2.
Preparation of growth and increment curves
3
3.
Site quality assessment, Stand density diagrams
4
4.
Growth prediction models
3
5.
Yield simulation techniques
4
Total
16

---

Forestry–Silviculture and Agroforestry