Development, Productivity, and Sustaining
Natural Capital
Terrence S. Veeman
Professor Emeritus, Departments of Economics and Rural Economy, University of Alberta,
515 General Services Building, Edmonton, Alberta, Canada T6G 2H1 (phone:
780-492-0818; fax:
AREC 365 Review Session
Pat Lloyd-Smith
AREC 365: Natural Resource Economics
Final Exam Details
When: December 16, 9 am
Where: Main Gym, Rows 13, 15, 17
How long: 3 hours
You are allowed to bring 2 pages (double sided) of notes and a
non-programmable calc
WATER PRICING AND RELATIONS TO SOIL AND WATER CONSERVATION
Paper Presented to Alberta Soil Science Workshop, Edmonton AB, February 22-23, 2006
Terrence S. VeemanI
ABSTRACT
Water pricing is a key policy instrument to deal with water scarcity. Together with
Chapter 11
IS-MP Model: with Inflation and an Open Economy
Phillips Curve
When Y and employment rise, inflation often
rises as well (and vice-versa).
The Phillips Curve shows the negative
relationship between inflation and the
unemployment rate.
The intui
Chapter 5 - Gauss-Jordan Elimination
This chapter outlines the first of three alternative solution methods for systems of linear
equations that make use of matrices and matrix algebra. This method is referred to as GaussJordan elimination. It is named aft
Chapter 4 - Matrices and Matrix Operations
What is a Matrix?
A matrix (plural form is matrices) is an array or table of things or objects. Matrices may
consist of a number of different types of objects, including numbers, variables, derivatives, etc.
In t
Chapter 10 - Elementary Matrices
We now have three different matrix methods that may be used to solve systems of linear
equations; Gauss-Jordan elimination, matrix inverse method, and Cramers Rule. In particular,
Gauss-Jordan elimination may be used to so
Chapter 7 - Inverse Matrix Solution Method for Linear Systems
In the last chapter, we were introduced to the inverse matrix; specifically, properties of the
inverse matrix and the means by which to calculate the inverse. However, what was not
addressed in
Chapter 3: Solving Linear Systems with Two Equations and Two Unknowns
In most cases, the most straightforward way to solve linear systems that consist of two equations
and two variable is to use either substitution or elimination. These solution methods a
Chapter 6 - Inverse Matrices
What is an Inverse Matrix?
This chapter deals with a special type of matrix; that is, the inverse matrix (sometimes referred
to as the matrix inverse). If a matrix A is square (i.e., number of rows = number of columns), it
may
Chapter 8 - Matrix Determinants
A determinant is a unique numerical value associated with a square matrix; that is, one property
of a square matrix is that it has a determinant associated with it. Only square matrices have
determinants. The determinant ma
Chapter 2 - Graphing Linear Equations
Being able to graph equations or functions is often useful, as it allows us to visualize the
relationship between variables. Graphical representations of systems of equations can also be
used to identify solution coor
Chapter 9 - Matrix Determinant Solution Method for Linear Systems Cramers Rule
In the last chapter, we were introduced to the determinant of a matrix (detA or |A|). In particular,
a determinant is a unique numerical value associated with a square matrix;
Todays lecture - Mineral structures
Primary versus secondary minerals
Soil colloids
The two basic structural units: tetahedron and octahedron
Isomorphous substitution
Chemical Properties:
Cation Exchange Capacity (CEC)
Base Saturation (BS)
Exchang
Lecture 2.3
4. The water content at FC of two soils with
different texture will be different.
A. True
B. False
Lecture 2.3
5. The water content at FC and some time after field
capacity (1 day) in the SAME soil will be different.
A. True
B. False
Todays le
Todays lecture
Models of soil genesis
Luvisols
Podzols
Brunisols
Great groups, subgroups, distribution
Luvisolic Order
Orthic Gray Luvisol (toposequence)
Cooking Lake region, till material
Image: S.A. Quideau
Luvisols are one of the three orders
asso
Todays lecture MODULE 2
Soil structure at the micro scale
Thin Section and SEM
Porosity
Particle density and bulk density
Influence of texture & structure on bulk density
Chernozem
Ah
Thin Section
Scanning Electron Micrograph
Chernozem
Ah
SEM
Chernoz
Todays lecture:
Factors of Soil Formation
Colour, Texture, Structure
The standardized method to describe each
Some of the environmental conditions that
may influence these properties
How each property may influence soil
performance
Lecture 1.2
1. Soi
Todays lecture
What is soil?
Key concepts and definitions
Soil parent materials
Key soil characteristics:
color, texture, structure
Lecture 1.1
1. Movie mentioned fish compost, but fish accumulate Hg.
Could Hg accumulate in the soil or be absorbed by