Modeling Non-Timber Objectives in Harvest Scheduling with Linear Programming Lecture 14 (5/18/2017)

Slides:



Advertisements
Similar presentations
WOOD 492 MODELLING FOR DECISION SUPPORT Lecture 15 Forest Planning.
Advertisements

Timber Management Elements of Forestry Kenneth Williams
ECONOMICS 415 CLICKER QUESTIONS Chapter 13 – Question Set #1.
 Homework #9 Due Wednesday  Quiz #4 Wednesday  Group Outline Due Wednesday  Exam #4 – Nov. 28th  Group Presentations – Dec. 3 & 5.
Timberland Property Tax in Texas Texas A&M Forest Service 1.
 Homework #9 Due Thursday  Quiz #4 Thursday  Group Outline Due Thursday  Exam #4 – Dec. 1 st  Group Presentations – Dec. 6 & 8.
Implementing the Northern Spotted Owl Conservation Strategy for the Klickitat HCP Planning Unit Scott D. McLeod Washington State Department of Natural.
Economics of Forestland Use and Even-Aged Rotations Land tends to be used for the activity that generates the greatest NPV of future satisfaction to the.
FORS 8450 Advanced Forest Planning Lecture 12 Tabu Search Change in the Value of a Medium-Sized Forest when Considering Spatial Harvest Scheduling Constraints.
Economics of Forest Management Decision Making in Today’s World Cheryl Talbert Director of Forestry Weyerhaeuser Company Western Timberlands.
FNR 407 Forest Economics William L. (Bill) Hoover Professor of Forestry
Economics of Timber Production on Private Land in Indiana.
To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Linear Programming.
MGMT Materials Management Systems Master Production Scheduling Chapter 3.
FORS 4710 / 6710 Forest Planning FORS 8450 Advanced Forest Planning Lecture 2 Linear Programming.
Modeling Non-Timber Objectives in Harvest Scheduling with Linear Programming Lecture 4 (4/8/2014)
Economics of Timber Production on Private Land in Indiana.
DFC: Desired Future Condition Forest Practices Board March 31, 2009 Chuck Turley/Lenny Young.
Cost-Volume-Profit Analysis © 2012 Pearson Prentice Hall. All rights reserved.
Imitation game «Forest». Initial resources 20 ha of 60 years old forest 30 ha arable land Bank account – 0 EUR.
Overview of Financial Analysis
The stock is the present accumulated quantity of natural capital. It is a supply accumulated for future use; a store. The natural income is any sustainable.
Forest Regulation Concepts
FORS 8450 Advanced Forest Planning Lecture 21 Binary Search.
LEV and the Forest Value Lecture 5 (04/13/2015). The Financially Optimal Rotation Age.
The WLP must be consistent with these objectives 1.maintaining or enhancing an economically valuable supply of commercial timber from the woodlot licence.
MPB Supply Side Implications Brad Stennes Canadian Forest Service Industry, Trade & Economics Victoria, BC.
Break-Even Analysis Study of interrelationships among a firm’s sales, costs, and operating profit at various levels of output Break-even point is the Q.
A baseball player has played baseball for several years. The following table shows his batting average for each year over a 10 year period. 1) Enter the.
ACCT 2302 Fundamentals of Accounting II Spring 2011 Lecture 11 Professor Jeff Yu.
Section VI: Landscape-level effects of Herbicide Reduction - Preliminary Results - Kandyd Szuba, Domtar Inc. on behalf of the VMAP team.
Land Management Plan for the Hofmann Forest: Emerging Ecosystem Markets Jamie Blackwell Yuan Fang Russell Myers Chelsey Walden-Schreiner.
FORS 8450 Advanced Forest Planning Lecture 8 Threshold Accepting Example.
Forest Management with Linear Programming Lecture 3 (4/6/2015)
WOOD 492 MODELLING FOR DECISION SUPPORT Lecture 13 Duality Theory.
Sustainability of Wood CEE 3100 – Structural Mechanics What are the Advantages and Disadvantages of Wood? (In terms of sustainability)
National Forest System Grazing Objectives 1.Manage range vegetation to protect basic soil and water resources, provide for ecological diversity, improve.
Linear Programming. Graph the following system of inequalities.
Jackson County Schools Forest Management Plan
Umpqua National Forest. How we got here Douglas County yesterday Douglas County today.
Spatial Forest Planning with Integer Programming Lecture 10 (5/4/2015)
Optimizing Riparian Buffers for Thermal Protection TerrainWorks (
Is Certification under the Forest Stewardship Council Feasible and Desirable at Pack Forest? Greg Ettl and Duane Emmons.
WOOD 492 MODELLING FOR DECISION SUPPORT Lecture 14 Sensitivity Analysis.
So to review, for a disease to have an impact on a forest three elements must be present. These are …
GROWTH AND YIELD How will my forest grow? Dr. Glenn Glover School of Forestry & Wildlife Sciences Auburn University.
The Land Expectation Value and the Forest Value Lecture 6 (4/20/2016)
FORESTRY LAND USE Overview and Update Buckingham County Land Use Work Session September 18, 2017 Dean Cumbia Forest Resource Management Branch.
The Land Expectation Value and the Forest Value
Allocating pre-production costs in multi-year enterprises
NPRRs 815NPRR Revise the Limitation of Load Resources Providing Responsive Reserve (RRS) Service.  This Nodal Protocol Revision Request (NPRR) revises.
Stand-Level Management Planning
Uneven-aged Management II.
FOR 350 Silviculture.
Stand-Level Management Planning
COURSE LECTURER: DR. O. J. AKINYOMI
Timber Supply Analysis Discussion Paper October 28, 2016
Spatial Forest Planning with Integer Programming
Natural Variability as a Management Paradigm
Modeling Non-Timber Objectives in Harvest Scheduling with Linear Programming Lecture 5 (4/19/2017)
FFA Forestry CDE – Elba High School – Mr. Davis
Modeling Non-Timber Objectives in Harvest Scheduling with Linear Programming Lecture 14 (5/23/2016)
Conceptual Framework on Planning for Timber Supply
Preserving and Conserving Agricultural Lands:
Forest Management with Linear Programming
Farm Consulting Assignment
L3 Desired Forest —Conceptual Goal Approaches to Regulate
Forest Management Plan
Presentation transcript:

Modeling Non-Timber Objectives in Harvest Scheduling with Linear Programming Lecture 14 (5/18/2017)

Extended rotations: a minimum of 1,500ac will be required from each Site I and II to be older than 40 and 30 yrs, respectively; Wildlife openings: set aside 500ac of wildlife openings – clearcut these in pd. 1 and maintain them for browse and forage; Stream-side management zones: no harvests allowed in 8% of the forest (4% in each site class)

Balancing the Age-class Distribution

Harvest scheduling prescriptions with up to two possible harvests within a 40-year planning horizon and a minimum rotation of 20 yrs Prescription Planning Period 1 2 3 4 Harvest 5 6 7 8 No Harvest Xsa10 Xsa13 Xsa14 Xsa20 Xsa24 Xsa30 Xsa40 Xsa00

Extended Rotations Initial age-class distribution Period Variable 1 a a 2 a+1 3 a+2 4 a+3 Age Classes Acres by site class Site I Site II 0-10 3,000 8,000 11-20 6,000 4,000 21-30 9,000 7,000 Total 18,000 19,000

Modifying the Average Ending Age Constraint

Modifying the Average Ending Age Constraint (continued)

Implementing Wildlife Openings Forest management activity scheduling model; Creating 500 acres of wildlife browse habitat; The openings are cleared in Pd. 1 and will be maintained over time by planting browse species at a cost of $10/ac/yr

Defining the wildlife opening variables: Wsa= the number of acres from site class s, initial age class a assigned to be cleared in pd. 1 and maintained as wildlife openings for the remainder of the planning horizon Modifying the Area Constraints Note: wildlife openings as the ninth prescription

3. Specifying the target area for wildlife openings

Modifying the objective function (accounting for the costs and revenues that are associated with the new activities)

5. The objective function coefficients

Example Objective Function Coefficient Calculation Economic data Yield Item Symbol Amount Wood Price P $25/cd Planting Cost E $100.00/ac Timber Sales Cost per acre per cord sf sv $15.00/ac $0.20/cd Interest Rate r 4% Harvest Age Acres by site class Site I Site II 10 2 5 20 14 30 27 40 31 38 50 37 47 60 42 54 70 46

Modifying the harvest accounting constraints Average ending age constraints The wildlife opening variables should be excluded from these constraints

Implementing Stream-side Management Zones (SMZs) It is assumed that the area assigned to SMZs has already been calculated, and 8% of each analysis area will be reserved for SMZs.