Young Stand Monitoring applied in the Morice TSR R. de Jong CSC Winter Workshop

Young Stand Monitoring applied in the

Morice TSR

R. de JongCSC Winter Workshop

27 February 2014

Assessment of Mid-rotation StandsStand Development Monitoring

(SDM)

• To assess Timber Objective of FRPA (FREP)– To change Legislation if required– To change PRACTICE if required

• Stand Level assessment – 10 plots per polygon, summarized per TSA

Young Stand Monitoring (YSM)

• To assess TRENDS of young stands relative to TSR assumptions and adjust (FAIB)

• Management Unit assessment – permanent sample plots established on a grid over the target population

∆ Leg and Practice ∆ TSR

Morice YSM Program

• Established 2012• 50 * 0.04ha plots• Grid Based• Unbiased estimate of

15 – 50 year old target population

Objectives

• Describe Young Stand Characteristics• Assess Accuracy of Inventory Polygons• Assess Accuracy of Site Index Estimates• Check on TSR Assumptions• Localize MSYTs using YSM data

Describe Stand CharacteristicsComposition

Status # Species Comp by BA BA (m2/ha)

SPH (#/ha)

DBHq (cm)

WSV (m3/ha)

NMV (m3/ha)

m2/ha #/ha cm m3/ha m3/haLive 50 PL(60)SX(20)BL(13)DEC(7) 20.6 1,951 11.6 108 65Dead 50 PL(39)SX(0)BL(7)DEC(3)XC(50) 1.1 64 14.5 6 4

Describe Stand CharacteristicsStructure

Stand Table - Live Stock Table - Live

0%

10%

20%

30%

40%

50%

60%

% o

f tot

al st

ems/

ha

DBH class (cm)

PA

HM

SX

PL

BL

DEC

0%10%20%30%40%50%60%70%80%

% o

f tot

al m

3/ha

DBH class (cm)

PA

HM

SX

PL

BL

DEC

Describe Stand CharacteristicsForest Health

Live Dead

0%5%

10%15%20%25%30%35%40%

O U DSG

IAG

IAS

AM NX NGC

DSA

DS

% o

f tot

al B

A (m

2/ha

)

Damage Agent 1

PA

HM

SX

PL

BL

DEC

0%10%20%30%40%50%60%70%80%

NB U O IBM

AD IAG

DS NW

% o

f tot

al B

A (m

2/ha

)

Damage Agent 1

XREM

SX

PL

BL

DEC

Assess Accuracy of Inventory PolysObserved vs. VRI Species Composition

0%

10%

20%

30%

40%

50%

60%

70%

DEC BL PL SX HW HM XC

Spec

ies p

erce

nt

Species

GRD

VRI

Assess Accuracy of SI EstimatesObserved vs. Provincial Site Prod Tile

0

5

10

15

20

25

AT BL PL SX

Site

Inde

x (m

)

Site Tree Species

Grd

Prd

Check on TSR AssumptionsTIPSY MSYTs @ each Sample Point

0

50

100

150

200

250

0 10 20 30 40 50 60

Net

Mer

ch V

olum

e (m

3/ha

)

Total Age

GrdPrdAvg MSYT

# Ground Samples

MSYT Volume

Ground Volume

Difference(m3/ha)

50 27 48 21

Localize MSYTs with YSM Data

Characteristic Impact Applied inSite index Base

Assumption

Species mix Base Assumption

Forest health Alternate Scenario

Localize MSYTs with YSM DataSite Index Adjustment

• TSR-based SI underestimated compared to ground-based site index.

• Action: apply site index adjustment by species

Localize MSYTs with YSM DataSpecies Composition

• YSM ground species mix vs. TSR assumptions• Action: Apply YSM species mix by AU

Scenario Species Percent by THLBHWD BL PL SX Total

YSM species mix 1 13 60 25 100

TSR Existing Assumptions 1 27 46 26 100TSR Future Assumptions 0 1 40 59 100

Localize MSYTs with YSM DataForest Health Impact

• Worst-case FH scenario assumes all stem rust affected Pine will die at rotation.

• Action: Apply incremental OAF1 in Pine dominated regimesData Source % of Total SPH

(host species)% of Total SPH

(all species)% of Total BA (all species)

RESULTS 10 SDM 21 16 YSM 25 15 16

Pine Med AU – Site Index

Pine Med AU – Species mix

Pine Med AU – Forest Health

Pine Med AU – Combined Impact

Morice TSR Scenarios

Scenario Era Managed Stand Yield TableBase Case Run

Existing Managed Stands YSM (SIA + species)

Future Managed Stands 2013 Data Package regimes

Alternate Scenario Run

Existing Managed Stands YSM (SIA + species + FH)

Future Managed Stands YSM (SIA + species + FH + GG)

Summary

• YSM to describe young stand population• YSM as a check on TSR assumptions, both

current and future stands• YSM to generate localized MSYTs• YSM to support alternative modeling scenarios

with measured data (forest health)• Future YSM data to include change (growth /

mortality)