MODELING IN SUPPORT OF REGIONAL LEVEL MPB … · modeling in support of regional level mpb...

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MODELING IN SUPPORT OF

REGIONAL LEVEL MPB

MANAGEMENT AND THE

INFORMATION REQUIRED FOR

IMPROVED DECISION

MAKING

Ted Gooding: Presentation to FRI April 25, 2012

Topics

Analysis

Model description

Results and learning

Closing the planning loop

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Government of Alberta

The Forestry Corp., April 25, 2012

Industry Questions

How long to we have?

What will be the impacts of MPB?

What actions will reduce MPB impacts?

What are the costs and benefits of potential

actions?

Desire for decision-making to be supported by

analysis.

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The Forestry Corp., April 25, 2012

Supporting Analysis

Conducted under extreme time constraints

Used existing information and datasets

Construct a model to support decisions using:

MPB expertise – SRD and CFS

Harvesting expertise – industry

Analysis expertise – The Forestry Corp.

Multi-discipline solution

Funded under the FRIAA MPB program

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The Forestry Corp., April 25, 2012

Modeling 5

Government of British Columbia

The Forestry Corp., April 25, 2012

Model Design

Landscape scale

Spatial at the stand level

Annual steps for 20 years

Track individual pine trees

Built upon SRD’s work

Identify infested trees

Predict new infested trees from green:red and SSI

Distribute infested trees within a 1 km radius

Add optional MPB in-flights

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The Forestry Corp., April 25, 2012

Pine Tree Tracking

For each polygon:

Gray pine trees (non-merch)

Gray pine trees (merch)

Red attack pine trees (non-merch)

Red attack pine trees (merch)

Green attack pine trees

Non-attacked pine trees

Pine tree size

Other conifer volume

Deciduous volume

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The Forestry Corp., April 25, 2012

Conceptual Flow Diagram

Loop Through Years 1-20

Loop Through Sustained Yield Units

Loop Through Managed Landbase

Sort by Infected Stands, Harvest Priority and Connectivity

Loop Through Total Landbase

Sort by SSI

Level I Action MPB Spread ActionIn-Flight Action

Clearcut Harvest ActionLevel II Harvest Action

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The Forestry Corp., April 25, 2012

Data Requirements

Timber supply landbase files or AVI

Stand and stock tables, yields

SSI

Green:red ratios

SRD’s MPB DDS datasets

Infested tree locations

Gray attack

Current year’s red attack

Green attack

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The Forestry Corp., April 25, 2012

Scenario Assumptions

MPB growth and distribution rates

In-flights

Planned activities

Conifer AAC levels by FMU

Percent of harvest from infested stands

Shelf life

Sorting rules

Zones – harvesting and control

Level 1 rules and budget

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The Forestry Corp., April 25, 2012

MPB Online – Project Tab 11

The Forestry Corp., April 25, 2012

MPB Online – Scenario Status 12

The Forestry Corp., April 25, 2012

MPB Online – Reports 13

Results 14

The Forestry Corp., April 25, 2012

Photo: Ray Hilts

Yearly Comparisons - Central

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rees

Years

New Infested Trees - Central Region

2009 Survey Data2010 Survey Data2011 Survey Data

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The Forestry Corp., April 25, 2012

Compare – Regional No Harvest

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1,000,000

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rees

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New Infested Trees - 2011 Central, Grande Prairie, North-west Regions

Central Region - No Harvest

2010 Survey Data

GP Region - No Harvest

NW Region - No Harvest

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The Forestry Corp., April 25, 2012

Compare – No Harvest & Control

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rees

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New Infested Trees - 3 Regions in 2011, No Harvest vs Harvest & Level 1

Central Region - No Harvest

Central Region - Harvest and Level1

GP Region - No Harvest

GP Region - Harvest and Level1

NW Region - No Harvest

NW Region - Harvest and Level1

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The Forestry Corp., April 25, 2012

Learning – MPB Dynamics

Harvesting and single tree control have a similar

effect in reducing impact

Greatest control impact when combined

Controlling MPB requires a sustained effort

Greater impacts on small populations

Difficult to integrate MPB control and harvest

planning timelines

Good survey information is critical

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The Forestry Corp., April 25, 2012

Decisions Supported

How long do we have and where should we cut?

Years to death map

Volume killed map

Should we chase the beetle or consider single tree control?

Volume saved

Percent of harvest that is gray or green

Control costs

Harvest dispersal and access costs

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The Forestry Corp., April 25, 2012

Closing the Planning Loop 20

Government of British Columbia

The Forestry Corp., April 25, 2012

Closing the Planning Loop

How good are the model

predictions?

Does predicted =

observed?

Initial conditions have a

large impact

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The Forestry Corp., April 25, 2012 Photo: Manning Diversified Forest Products

Closing the Planning Loop

Compare model

predictions to

observed

Green = 2010

predicted

Red = 2011 observed

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The Forestry Corp., April 25, 2012

2009 Red

Trees

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The Forestry Corp., April 25, 2012

2010 Red

Trees

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The Forestry Corp., April 25, 2012

2011 Red

Trees

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The Forestry Corp., April 25, 2012

Conclusions

Model assists with landscape level decisions

Targeted harvesting and individual tree removal

both can slow MPB spread but are most effective

when combined

Generating consistent initial starting conditions will

improve forecasting

Hoping to gain some insight from the other

presenters

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The Forestry Corp., April 25, 2012

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The Forestry Corp., April 25, 2012

Questions?

Photo: Ray Hilts