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Stand Development Monitoring
FREP Timber Production Protocol
SDM
The goal of SDM is to monitor shifts in stand attributes from the baseline data set from FG surveys. This will
allow us to make inferences about our Stocking Standard and FG Policy as well as Forest Health Issues
• SDM data can be valuable for many other uses:
• Monitoring the impacts of forest management decisions such as site prep, planting density, spacing and fertilization
• Feedback to Standards Contained in Operational Contracts ie Spacing, Planting contracts
• Calibrating our stand level models• Comparing our stands to TIPSY to supply input to TSR for
Managed Stand Analysis Units
Average Age of stands at Breast HeightAverage of all blocks = 20
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
5
10
15
20
25
30
19
24
11
1817
20 20
23
25
18
24 24
2223
21
15
Average age at DBH
Years from Disturbance and Planting
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A
30
40
20
23
20
2628
30
33
24
29
24
30
35 35
20
24
33
0
2220
25
19
25
0
22
0
23
28 28
31
20
YrsSinceDisturb YRSfromPL
Total Trees & Total Conifers per HectareAverage of TC = 3241
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
1000
2000
3000
4000
5000
6000
7000
8000
Total Trees Total Conifers
There is no assessment of the Free Growing status of the WS trees
Another dense 28 year old stand - ICH Donald Hill
SDM Unit #21
4860 total stems/ha
Planted Pli, Lw and Sx
Planted Lw is just to the right of Jason
Smaller trees are L3 naturals – Sx, Fdi, Bl, Cw
Least Dense Stand SampledMS - Beaverfoot - SDM Unit #27
1360 Total Conifers – Spaced at 10 years of age
This spaced stand also had the poorest formed (ugly) trees
Well Spaced Conifers per HectareAverage = 1054
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
200
400
600
800
1000
1200
1400
1600
1440
1140 1120 1140
860
1120
1320
860820
1060
740 740
1240 1240
1000 1020
Dark Green with Glow – block had JS treatment
The importance of SDM data to Managed Stand Yield Predictions
• We should be able to use SDM data to calibrate TIPSY or change our assumptions on how these stands are developing
• For example:• With the exception of SDM # 5 these stands are all old enough
that a Layer 3 tree is either ingress or a planted tree that ran into trouble.
• Counting a Layer 3 tree as a Well Spaced Crop tree has implications to genetic gain, regen delay, and our assumption that our stands all have a “planted” distribution
Percentage of Total Conifers that are L3Average = 58% of TC are L3 trees
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
10
20
30
40
50
60
70
80
90
100
84
65
89
11
46
7370 70
51
45
32
47
7168
36
75
Blue Glow = planting to >2200 stems/ha Green Glow = Spacing
SDM 12 had the lowest number of L3 trees
This block had very regular spacing: 1620 Total conifers & 1140 WS
It was planted to Pli and Lw in 1987
This block was planted at a density of 2500 stems/ha
% of Well Spaced that are L3Average = 34%
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
10
20
30
40
50
60
70
80
60
25
73
7
44
55
36
51
15
4
11
24
34
44
14
53
Blue Glow = planted to 2200 stems/ha or greater Green Glow = Spacing
Highest % of WS L3 trees
The youngest Pli stand and the ESSF stand had the highest % of Well Spaced trees that were L3
The picture shows an example of a stand planted to Pli where natural Sx has come in under the planted treesInitial Planting density was 1236 stems/haSDM #20
The least % of WS that are L3 was in SDM #25
This block had very regular spacing - 2180 total conifer 1060 WS
This block was planted to Pli and Lw in 1987
Initial planting density was 2500 stems/ha
What are the consequences of having L3 trees in the WS count?
In the Golden TSR all the managed stands are assumed to be planted
At the age of the stands in the SDM sample - L3 trees are naturals or ‘loser’ planted trees TIPSY assumes there are planted trees at a very regular spacing (like picture in previous slide)
Genetic Gain is applied to all the crop trees
Regen Delay is assumed to be 2yrs
The L3 trees have a much longer regen delay and have no genetic gain
This is a L3 planted Lw Most of the Lw are L1Example SI tree 16.7 dbh and 15.3 M ht
Do we have as many large trees as TIPSY assumes?
• Looking at the distribution of large diameter stems in the stands is very interesting
• Analyzing the number of large trees present in the stands should also help to calibrate TIPSY
Number of L1 Well Spaced Trees
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
100
200
300
400
500
600
700
40
360
0
580
80
200220
260
560
520
340
500
200
340
440
60
Green glow = Spaced Blue Glow = planted to 2200 or greater stems/ha
Percentage of WS trees that are L1
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00
2.78
31.58
0.00
50.88
9.30
17.86 16.67
30.23
68.29
49.0645.95
67.57
16.13
27.42
44.00
5.88
Green Glow = Spaced Blue Glow = planted to 2200 stems/ha or greater
Average Dbh of the L1 trees in each unit. Not a huge range – but the spaced fertilized stand has the largest Dbh
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A
L1 Avg DBH 12.8 15.8 0 14.8 13.4 15.5 15 15.9 17 14.5 15.5 16.4 16.5 15.3 16.9 15.6
1
3
5
7
9
11
13
15
17
L1 Avg DBH
Cm D
bh
Blue glow is planted to >2200Green glow is spaced
Yellow glow is spaced and fertilized
How do we achieve an even distribution of large diameter trees?
• These preliminary results show that spacing or planting to a high density achieved the distribution of large trees that TIPSY assumes is present in planted stands
• Looking at the L3 data in combination with the L1 suggests that perhaps planting to less than 2000 stems/ha results in a stand that has a more “natural” distribution for TIPSY than planted
Custom TIPSY Table
With the SDM data collected you can match the BGC Zone, Site Index , Leading Species, and with Breast Height Age – match an exact line in the TIPSY table.
Then direct comparisons can be made to determine if our stands “look like” the TIPSY model we have chosen for TSR. SDM #20 – BGC Zone - MSFrom Inventory Label – Pli80 Sx20SI from GI = 21Average age at Breast Ht = 20
TIPSY table for DCO TSR Managed Stand Analysis Units
Comparison of 5 TIPSY runs to SDM block #20The left column is how this stand was modelled in TSR
PL2000-2 PL4444-2 Nat2000-7 Nat4444-7 Nat6132-10 SDM
L3 302 NaN 1398 NaN 587 NaN 1587 NaN 2283 NaN 3860
L2 586 NaN 1246 NaN 441 NaN 817 NaN 843 NaN 380
L1 616 NaN 529 NaN 391 NaN 457 NaN 454 NaN 340
250
750
1250
1750
2250
2750
3250
3750
4250
4750
Total Stems/ha by Layer
# St
ems/
ha
Layer 1 and 2 of TIPSY Runs
PL2000-2 PL4444-2 Nat2000-7 Nat4444-7 Nat6132-10
SDM0
200
400
600
800
1000
1200
1400
L1L2
Stand Distribution Impacts
• Deciding if the stand distribution is more like a planted distribution or a natural distribution has a direct impact on volume calculations.
• The next slide from Alex and Wendy shows the relative difference of the distributions on volume
W. Bergerud
Lodgepole Pine at Site Index of 20
Using TASS version v20524
Proje
cted V
olume
at 80
yrs
Total Density at 15 years0 500 1000 1500 2000
Spatial distribution affects projected volume
27
TIPSY OAF’s
• SDM data should help us to refine Operational Adjustment Factors - especially OAF 2
• TIPSY provides a cumulative OAF impact for each age in the table – but will take some thinking to figure out if any comparisons can be drawn to the SDM data
% of Live TC with Damage Average = 14%
1 3 5 12 15B 20 21 23 24A 25 27 28 29 30A 31 15A0
5
10
15
20
25
30
35
40
0 0
37
14
22
5
2
27
25
9
13 14
24
14
10
7
%TCwithDamage Live
Unit 15B ICHL1 L2 L3
AB 220 120 0
DSC 20 80 0
ISQ 20 0 0
NY 0 0 60
Healthy 80 600 920
340 800 980 2120
%
L1 76
L2 25
L3 6
Stand 24
Unit 15 ICH
L1 L2 L30
200
400
600
800
1000
1200Total conifers by damage agent
HealthyNYISQDSCAB
L1 L2 L30
50
100
150
200
250
300
Breakdown of Damage Agents
NYISQDSCAB
Unit 15 B Dead Trees
L1 L2 L30
20
40
60
80
100
120
Dead Stems by Damage Agent
UnknownAB