SylbV01-00-00. pmd

Practical
1.
Nutrient budgeting for different plantation systems
4
2.
Quantification of physical and chemical soil constraints in plantation
and Agroforestry systems
6
3.
Evolving new strategies for development
6
Total
16
I. Course Title
: Environmental Modeling and Biostatistics
II. Course Code
: FRM 607
III. Credit Hours
: 2+0
IV. Aim of the course
To acquire knowledge on different environmental modeling approaches, sensitivity
analysis and various statistical tools.

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Forestry–Forest Resource Management
703
V. Theory
Unit I
Modeling for environmental sciences and management. Types of models. Causal
diagrams, System Dynamics, Introduction to modelling software package, Population
modelling, Modeling of material flows through the systems (pollutants transfer,
etc). Modeling of cycles in nature (carbon cycle, etc.).
Unit II
Environmental modelling: scope and problem definition, goals and objectives,
definition; modelling approaches – deterministic, stochastic and the physical
approach; applications of environmental models; the model building process. Types
of Model – Physical models, Conceptual models, Mathematical Models.
Unit III
Sensitivity analysis. Extinction risk. Multi-species population dynamics – Decision
trees and Spatial models. Population Dynamics Predator-Prey (Lotka-Volterra
methods) Model Builder in ArcGIS GIS Data for environmental models. GIS
functions in environmental models. Model validation. Physical environmental models.
Human (cultural, social, economic, etc.) environmental models.
Unit IV
Statistical Techniques: MANOVA, Cluster analysis, Discriminant analysis, Principal
component analysis, Principal coordinate analysis, Multidimensional scaling;
Multiple regression analysis; Likelihood approach in estimation and testing;
Resampling techniques – Bootstrapping and Jack Knifing; Markov Models. Hidden
Markov Models, Bayesian estimation and Gibbs sampling. Statistical fundamentals
are reviewed and expanded upon with multi variable regression analysis of Variance
(ANOVA).