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Introduction to the P2+ Down Woody Materials Indicator. 1st of 3 Part Training Series. Outline. Why Collect DWM data? What is P2+ DWM? What are Down Woody Materials? Sampling Design Theory. Why collect DWM data?. Forest Structure Wildlife Habitat Fuel Loading Carbon Stocks

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1st of 3 part training series

Introduction to the P2+ Down Woody Materials Indicator

1st of 3 Part Training Series

Christopher Woodall

outline
Outline
  • Why Collect DWM data?
  • What is P2+ DWM?
  • What are Down Woody Materials?
  • Sampling Design Theory
why collect dwm data
Why collect DWM data?
  • Forest Structure
  • Wildlife Habitat
  • Fuel Loading
  • Carbon Stocks
  • Nutrient Cycles
forest structure
Forest Structure
  • Measure structural attributes missed by phase 2

Coarse Woody Debris

Fine Woody Debris

Litter

Duff

wildlife
Wildlife

The DWM Inventory describes the amount and condition of wildlife habitat

wildlife1
Wildlife

Mean estimates of CWD volumes for forests of the North Central Region

wildlife2
Wildlife

Proportions of coarse woody debris pieces per acre by transect diameter (A) and decay class (B) (1=least decayed, 5=most decayed), Indiana, 2001-2003

fuels
Fuels

1-hr

10-hr

100-hr

Total Fine Woody Debris

fire science
Fire Science
  • LANDFIRE: National Mapping of Fuel Loadings
  • Fuels Management: Allocation of Fuel Management Funding
  • Resource Assessments: Relationships to ownership and management
  • Forest Vegetation Simulator Fuel Estimates
carbon stocks
Carbon Stocks

Climate Negotiations

Wood energy policies and availability

Climate change mitigation

dwm and other plot measurements
DWM and Other Plot Measurements

Completes inventory of trees from living, to dead, to fully decomposed

Microplot Sapling

Sub-plot Tree

Sub-plot Standing Dead

DWM Down and Dead

future of dwm measurement
Future of DWM Measurement

Declining Budgets

DWM Measurement Critical to Numerous Resource Assessments

Major User Groups Request Continued Collection of DWM

=

A More Efficient version of P3 DWM aka P2+

what is dwm p2
What is DWM P2+?

Collect detailed DWM data on a few plots

Collect only most important DWM data on many plots

Vs

theory behind p2
Theory Behind P2+
  • May better meet user’s needs using a “rapid” protocol to measure most requested data items on a “substantial” panel of plots:
    • Fuel loadings (including piles)
    • Carbon stocks (including fine woody debris)
    • Biomass assessments
  • Use QA/QC information and user/field crew feedback to improve/remove variables
what was dropped from previous p3
What was Dropped from previous p3?
  • Fuelbed Depth
  • All microplot measurements
  • CWD end-point and length measurements
  • One transect per subplot
what was revised
What was revised?
  • Transect locations
  • Only 2 transects per subplot
  • Slash piles measured along transect
  • Only CWD attributes at point of intersection measured
  • Non-sampled statuses for numerous components
behold new plot design
Behold New Plot Design

360

2

FWD < 0.25”&

6 ft. HD.

0.26 – 0.9”

FWD 1.0 – 2.9””

10 ft. HD.

180

CWD

24 ft. HD

  • ≥ 3.00”

N

1

HD.=horizontal dist.

90

270

Subplot

45

CWD

Transect

315

4

3

FWD

Transect

Duff/Litter

Sample Points

225

135

Subplot Center

why the new transects
Why the New transects?
  • Avoids transect orientation bias while reducing number of transects…imagine it as one big “Y” transect from old P3 design

Final subplot 1 transect balances

larger “Y” orientation

definition of dwm stays the same
Definition of DWM Stays the same

Dead material within forests in various stages of decay such as fallen trees, branches, and leaf litter

The FIA program places numerous forest ecosystem components into the DWM Indicator

dwm components
DWM Components

Coarse Woody Debris

Fine

Woody

Debris

Litter

Duff

Slash

duff and litter
Duff and Litter

“dead plant material on forest floor surface”

“unrecognizable plant parts”

dwm sampling theory
DWM sampling Theory

DWM diversity requires a diversity of sampling methods

depth estimates on subplot
Depth Estimates on subplot

In order to estimate depth of duff and litter on a subplot…

Litter

8 sample points located for measurement on subplots at the end of each transect

Duff

depth sampling status
Depth Sampling Status
  • If point covered in snow or water it can now be indicated and not sampled
  • However, if rock or log is at point then it is sampled with potentially no duff/litter at location

Old P3 Calculation

P2+ Calculation

11 points with rocks = null

1 point with deep litter = 5 inches

Plot Average = 5 inches

11 points with rocks = 0

1 point with deep litter = 5 inches

Plot Average = 0.4 inches

Potentially Biased!

transect sampling
Transect Sampling

FWD and CWD pieces are not all counted within a given area

rather…

All FWD and CWD pieces that intersect a sampling plane are tallied

transect sampling1
Transect Sampling

Probability of match stick intersecting randomly placed line related to number of sticks and length of line

transect sampling planes
Transect Sampling Planes

DWM Sample Protocol establishes sampling transects that radiate from FIA subplot centers to intersect fine and coarse woody pieces

cwd and fwd transects
CWD and fwd transects

Use 2 transects established on each subplot to sample CWD, one transect on each subplot to sample FWD

volume biomass estimation from just transect measurement
volume/biomass estimation from just transect measurement?

We have only been using transect diameter for fine woody debris estimation for over a decade…now we apply similar estimator to coarse woody debris

bringing it all together
Bringing it all together

360

2

FWD < 0.25”&

6 ft. HD.

0.26 – 0.9”

FWD 1.0 – 2.9””

10 ft. HD.

180

CWD

24 ft. HD

  • ≥ 3.00”

N

1

HD.=horizontal dist.

90

270

Subplot

45

CWD

Transect

315

4

3

FWD

Transect

Duff/Litter

Sample Points

225

135

Subplot Center

conclusions
Conclusions
  • The DWM indicator estimates numerous ecosystem components
  • Data Crucial to Fire, Carbon, and Wildlife Sciences
  • Integral Part of National FIA Program, Completes Tree Life Cycle
  • A variety of sampling techniques for estimation of various DWM components
  • P2+ should be more efficient and robust
questions
Questions

Blast from Past

P3 National Training

Macon, GA

2002

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