Development of a Vegetation Classification
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Transcript Development of a Vegetation Classification
Development of a Vegetation
Classification System for the
Northern Region
Doug Berglund
Renee Lundberg
Renate Bush
Vegetation Analysis Support Needs: Broad & Mid-level
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Northern Region Overview
Integrated Restoration and Protection Strategy
Forest plan revision and amendments
Ecosystem Assessment at the Watershed Scale
Post-fire assessments
Forest-wide cumulative effects analysis
Ultimately all of this is to support project planning
and informed decision making
Litigation Fees Paid ’03 and ‘04
Analysis Components : Building Blocks
Classification
Inventory
Mapping
Vegetation classification, mapping, and inventory
Integration of these related processes to
communicate information.
Vegetation classification What is it?
Vegetation mapping Where is it?
Vegetation inventory How much is there?
Vegetation classification, mapping, and inventory
Classification
Supply Labels
Map Feature
Design
Supply Labels
Estimate abundance
Tabular
Inventory
Compilation
Technology & resource limited
Mapping
Generalize map units
Supply plot data
Spatial
Inventory
Compilation
Spatially associate plots
Inventory
Guiding Principles
Guiding Principles
FGDC National Vegetation Classification:
applicable over extensive areas
repeatable
consistent [between map and inventory]
mutual exclusive and exhaustive categories
hierarchical , aggregatable
based on dominant or uppermost stratum
mappable
Guiding Principles
Existing Vegetation Classification and Mapping
Technical Guide
Canopy Cover
Dominance Type
Size
Vertical Structure
Guiding Principles
Practical - useful to those “practitioners”.
Simple, easy to understand – line officers
Can make calls in the field with minimal data
Applicable to current data collection attributes
R1-Veg Council
Veg Council Classification
Builds on lessons learned from previous mapping
efforts
R1 Silviculturists, Fire Ecologists, Wildlife Biologists
and RMRS Scientists
Field workshop: Bitterroot, Lolo, IPNF
R1-Veg Council
R1-Veg Council
Field Data from FVS .kcp
R1-Veg Council Classification
Veg Council Classification
Evaluated different classifiers,
expecting to choose 1: Describe, FVS,
others
Consensus of expert opinion
None of the classifiers had the “right”
answers
Developed new algorithms
Tree Dominance Types
Elemental Dominance
A. Single most abundant species > 60% of attribute * ……… List single species
A. Single most abundant species < 60% of attribute…..……. Go to B
B. 2 most abundant species > 80% of attribute #………………List 2 species
B. 2 most abundant species < 80% of attribute #……....……. Go to C
C. 3 most abundant species > 80% of attribute #……………….List 3 species
C. 3 most abundant species < 80% of attribute #……..……….Go to D
D. Shade intolerant species attribute > shade tolerant species attribute….......IMIX
D. Shade intolerant species attribute < shade tolerant species attribute…......TMIX
*attribute = BA, if basal area > 20 ft2; otherwise TPA, if trees per acre > 100;
if BA <20 and TPA < 100 TPA, classify as “none”.
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each species individually is > 20% of attribute
Elemental Dominance
847 elemental dominance types: requires aggregation into
dominance “groups” for broad- and mid-level analysis
Sizeclass
Sizeclass
2 Common Methods
• BA-Weighted Average DBH =
Sum (DBH x BA) / Total BA
• QMD =
square root (sum of DBH2 / total trees)
or diameter of tree of average BA
Sizeclass
Sizeclass
BA-weighted Average DBH classed as follows:
NTG Classes
seedling
0.1 – 4.9
5.0 – 9.9
10.0 – 14.9
15.0 – 19.9
20.0 – 24.9
25.0 +
Traditional Classes
seedling
0.1 – 0.9
1.0 – 4.9
5.0 – 8.9
9.0 – 13.9
14.0 – 20.9
21.0 +
Often requires collapsing into fewer classes for broad- and midlevel analysis
Canopy Cover
Canopy Cover
Definitions:
Canopy cover is the proportion of the forest
floor covered by the vertical projection of the
tree crowns.
Canopy closure is the proportion of the sky
hemisphere obscured by vegetation when
viewed from a single point.
Canopy Cover
Canopy Cover
Use: Increasingly used attribute
Wildlife models
Fire behavior models
Mapping: Substitute attribute for basal area in
Dominance and Size classification.
FVS-model:
Need to collect more field data – EM Variant
Need to validate models
Canopy Cover
Canopy cover classed as follows:
Often requires collapsing into fewer classes for broad- and mid-level
analysis
Vertical Structure
Vertical Structure
Based on proportion of total basal area in the following
sizeclasses.
There are 5 possible vertical structure classes:
1 = single story,
2 = two-story,
3 = three-story,
C = continuous,
none = insufficient ba/tpa found on the plot/stand.
Initially, every plot/stand is classified as having 1 layer of vertical structure.
Vertical Structure
Vertical Structure
Vertical Structure
Vertical Structure
Vertical Structure
Stand Classifier Tool
Runs on any FVS tree list data
Consistent way to compare over time
Stand Classifier Tool
Input FVS treelist
Stand Classifier Tool
Stand Classifier Tool: Multiple Setting Output
Stand Classifier Tool: Multiple Cycle Output
For more information
Region One, Forest and Rangeland Management Staff,
Inventory website:
http://fsweb.r1.fs.fed.us/forest/inv/classify/index.htm