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Harvesting System 
Advancements 
Dale Greene 
University of Georgia 
Southeastern Regional 
Landowner & Manager Meeting 
Valdosta, GA 
October 29, 2014
Recent Challenges 
Equipment 
Fuel 
Timber 
People 
Capacity 
Costs
Equipment 
 Tier IV engines 
 Ultra Low Sulfur 
Diesel (15 ppm) 
 NOx and PM 2.5 
reductions targeted 
 Higher costs 
 Larger engines 
 Primary equipment 
company R&D focus
Median Machine Age 
10 
8 
6 
4 
2 
0 
Feller 
Buncher 
Skidder Loader Trucks 
Age (yrs.) 
2007 
2012 
Source: UGA Georgia Logger Survey, 2012
Tons per $1000 Capital – GA 
160 
140 
120 
100 
80 
60 
40 
20 
0 
1992 1997 2002 2007 2012 
Tons/$1000 
Clearcut Thinning
Fuel – Diesel
Fuel – Natural Gas 
 About ½ the cost of diesel 
on energy basis. 
 Electric utilities, trucking 
firms, railroads, etc. are 
switching to gas. 
 Log trucks fit this concept. 
 Prices can spike in winter 
due to heating demands. 
 Enormous new domestic 
supplies of this fuel.
Fuel Options Compared 
Source: DOE Alternative Fuels Data Center
Fuel – Natural Gas 
 US natural gas supplies are 
at record levels due to 
fracking in tight shale 
formations. 
 Many shale gas plays are 
just being developed. 
 Over-supply & low price of 
gas is slowing development. 
 Killing biomass energy 
opportunities.
Fuel Consumption 
 Fuel is ~20% of cut and load cost 
 Diesel range $1.50-$4.75 over past 
decade 
 2012 GA/SC logger survey: 
 21% track fuel use by machine 
 21% track fuel use by crew 
 19% do no tracking at all 
 Benchmarks lacking for comparison
Fuel Consumption Study
Objectives 
 long-term operational fuel consumption data 
 per operating hour 
 per ton produced 
 mechanized feller-buncher/grapple skidder 
 pine plantations (clearcut and thinning) 
 Southeastern coastal plain
Receiving Mill 
 Buys ~2 million tons annually of pine pulpwood 
in southeastern Georgia coastal plain 
 Provided funding for the project 
 Provided a list of wood suppliers 
 Suggested 12-15 suppliers as candidates 
 Received periodic reports showing fuel 
consumption statistics with no identities of 
crews or statistics by crew
University of Georgia 
 Solicited the participation of each supplier 
 Provided forms, fuel meters, on-site training 
 Handled all data input and summary 
 Follow-up calls, email, site visits with suppliers 
 Periodic reports back to cooperators and 
funding company
Logging Contractor 
 Agreed to record & share: 
 Fuel consumption by machine 
 Hour meter reading at fill-up 
 Weekly production for the crew 
 Installed and maintained fuel meters 
 Mailed data to us on their schedule – monthly 
was most common 
 Received reports from UGA showing their fuel 
usage compared to others in the study 
 Fuel meters are theirs to keep
Sample Size by Machine Type 
Fellers Skidders Loaders 
Tons 136,017 160,873 164,972 
Hours 5,880 6,599 6,640 
Gallons 38,877 41,156 26,923 
We often received gallons and hours without 
production reports. 
Data received from 1Q2013 through 1Q2014. 
Study ends 6/30/14.
Fuel Use per Hour 
6.46 
5.05 
3.65 
9.00 
8.00 
7.00 
6.00 
5.00 
4.00 
3.00 
2.00 
1.00 
0.00 
Feller-Buncher Skidder Loader 
Gallons/Hour 
CV = 20% 
CV = 20% 
CV = 24%
Fuel Use per Ton 
0.15 
0.14 
0.09 
0.25 
0.20 
0.15 
0.10 
0.05 
0.00 
Feller-Buncher Skidder Loader 
Gallons/Ton 
CV = 37% 
CV = 27% 
CV = 31%
Fuel Usage Conclusions 
 Fuel consumption to cut/skid/load wood 
averaged 0.38 gallons per ton. 
 These crews work flat (but often wet) 
ground harvesting pine plantations with 
a limited number of sorts. 
 These consumption rates likely set a 
floor rather than an average baseline.
Timber – Recession Impacts 
 Lumber demand off by 40-50% at one point 
 Sawtimber prices down 35% 
 Landowners sitting on thinned sawtimber 
stands waiting for higher prices…? 
 Pulpwood demand holding due to pulp and 
wood pellet markets and shortage of lumber 
chips 
 Age class distribution impacts and reduced 
planting – where will future pulpwood be? 
 Less final harvest = less replanting
US South Total Annual Harvest 
300 
250 
200 
150 
100 
50 
0 
2006 2007 2008 2009 2010 2011 2012 
Total Harvest 
(Million Tons) 
Pine Sawtimber Pine CNS Pine Pulp Hdwd Sawtimber Hdwd Pulp 
Source: UGA Wood Demand Report, 2013
Timber – Biomass Potential? 
 Liquid Fuels 
 30% of US energy use 
 Still an infant technology 
 Wood Pellets 
 Technology here today 
 Driven by EU subsidies 
 Pulpwood not forest residues 
 Production up sharply 
 Electricity Generation 
 40% of US energy use 
 Technology here today 
 Natural gas has advantage 
400,000,000 
350,000,000 
300,000,000 
250,000,000 
200,000,000 
150,000,000 
100,000,000 
50,000,000 
0 
Demand: Bioenergy total Demand: Industry 
Non-traditional materials Growth 
Chart source: Forisk Consulting 2011, RISI 2013
Biomass 
 Piled residues through 
grinders –ash content too 
high for pellets (>5%) 
 Chipped tops/slash without 
piling or WTC <2% ash 
 Residues rely on demand 
for other primary products 
 Roundwood (pulpwood) 
preferred due to control, 
cost, low ash, etc.
2000 
1800 
1600 
1400 
1200 
1000 
800 
600 
400 
200 
0 
No. of 
Employees 
100 - 249 
50 - 99 
20 - 49 
10 - 19 
5 - 9 
1 - 4 
AL/FL/GA Logging Businesses 
Source: Bureau of Labor Statistics, 2012
AL/FL/GA Logging Workforce 
 Total employment 
in logging 
declined 31% 
since 2000 
 18% decline since 
start of recession 
 Greater decline in 
businesses than 
employees 
16000 
14000 
12000 
10000 
8000 
6000 
4000 
2000 
0 
Logging Employment 
in AL, FL, and GA 
2000Q1 
2001Q1 
2002Q1 
2003Q1 
2004Q1 
2005Q1 
2006Q1 
2007Q1 
2008Q1 
2009Q1 
2010Q1 
2011Q1 
2012Q1 
2013Q1
Firms Shift to Higher Production 
100% 
80% 
60% 
40% 
20% 
0% 
1987 1992 1997 2002 2007 2012 
> 2500 T/wk 
1000-2500 T/wk 
< 1000 T/wk 
Source: UGA Georgia Logger Survey, 2012
Total Volume Produced 
51% 
39% 
2011 Total Tons 
10% 
> 2500 Tons 1000 - 2500 Tons 
< 1000 Tons 
 50% of 
production by 
20% of firms 
 Doubling of 
larger firms in 
last 10 years 
Source: UGA Georgia Logger Survey, 2012
Production per Man-Hour 
6 
5.5 
5 
4.5 
4 
3.5 
1992 1997 2002 2007 2012 
Tons per Man-hour 
 Consistent 
improvement in 
production per 
employee 
 No significant 
changes in 
technology 
Source: UGA Georgia Logger Survey, 2012
Owner Age – Georgia 
25 
20 
15 
10 
5 
0 
25 30 35 40 45 50 55 60 65 70 
Percent 
Age 
1992 
1997 
2002 
2007 
2012 
Source: UGA Georgia Logger Survey, 2012
AL/FL/GA Logging Capacity 
140 
120 
100 
80 
60 
40 
20 
0 
2006 2007 2008 2009 2010 2011 2012 2013 
Million Tons 
Logging Capacity Actual Harvest
Southern Capacity Declines
UGA Logging Cost Index
Southern Cut & Load 
Cost Components 
35% 
18% 
14% 
22% 
1% 
5% 
5% 
Labor 
Depreciation 
Repair and 
Maintenance 
Fuel 
Interest Expense 
Administrative 
Insurance 
Range: $9 - $15 per ton
UGA Logging Cost Index 
 Cut & load cost/ton 
 No hauling cost 
 Reported quarterly in 
Timber Mart-South 
 Replaces the index 
reported by Stuart 
on an annual basis 
 Re-validation 
underway in 2014 
200 
175 
150 
125 
100 
75 
50 
Stuart 
UGA Cost 
Index
The Future? 
 It is hard to make predictions, especially about 
the future – Yogi Berra 
 We have problems, but very few that stronger 
markets and higher prices would not solve. 
 Our logging contractors are becoming even 
more efficient to survive. 
 Given access to capital, harvesting capacity 
can rebound rather quickly. 
 Trucking can be made more efficient with 
scales, scheduling, and de-linking from 
logging.
Questions? 
Thanks to Shawn Baker, Samantha 
Marchman, Cory Dukes, Jason 
Cutshall for their work shown here.

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“Advances in harvesting systems that reduce harvesting cost, carbon footprint, and conserve site resources for the next rotation” Dale Greene, Warnell School of Forestry and Natural Resources; University of Georgia

  • 1. Harvesting System Advancements Dale Greene University of Georgia Southeastern Regional Landowner & Manager Meeting Valdosta, GA October 29, 2014
  • 2. Recent Challenges Equipment Fuel Timber People Capacity Costs
  • 3. Equipment  Tier IV engines  Ultra Low Sulfur Diesel (15 ppm)  NOx and PM 2.5 reductions targeted  Higher costs  Larger engines  Primary equipment company R&D focus
  • 4. Median Machine Age 10 8 6 4 2 0 Feller Buncher Skidder Loader Trucks Age (yrs.) 2007 2012 Source: UGA Georgia Logger Survey, 2012
  • 5. Tons per $1000 Capital – GA 160 140 120 100 80 60 40 20 0 1992 1997 2002 2007 2012 Tons/$1000 Clearcut Thinning
  • 7. Fuel – Natural Gas  About ½ the cost of diesel on energy basis.  Electric utilities, trucking firms, railroads, etc. are switching to gas.  Log trucks fit this concept.  Prices can spike in winter due to heating demands.  Enormous new domestic supplies of this fuel.
  • 8. Fuel Options Compared Source: DOE Alternative Fuels Data Center
  • 9. Fuel – Natural Gas  US natural gas supplies are at record levels due to fracking in tight shale formations.  Many shale gas plays are just being developed.  Over-supply & low price of gas is slowing development.  Killing biomass energy opportunities.
  • 10. Fuel Consumption  Fuel is ~20% of cut and load cost  Diesel range $1.50-$4.75 over past decade  2012 GA/SC logger survey:  21% track fuel use by machine  21% track fuel use by crew  19% do no tracking at all  Benchmarks lacking for comparison
  • 12. Objectives  long-term operational fuel consumption data  per operating hour  per ton produced  mechanized feller-buncher/grapple skidder  pine plantations (clearcut and thinning)  Southeastern coastal plain
  • 13. Receiving Mill  Buys ~2 million tons annually of pine pulpwood in southeastern Georgia coastal plain  Provided funding for the project  Provided a list of wood suppliers  Suggested 12-15 suppliers as candidates  Received periodic reports showing fuel consumption statistics with no identities of crews or statistics by crew
  • 14. University of Georgia  Solicited the participation of each supplier  Provided forms, fuel meters, on-site training  Handled all data input and summary  Follow-up calls, email, site visits with suppliers  Periodic reports back to cooperators and funding company
  • 15. Logging Contractor  Agreed to record & share:  Fuel consumption by machine  Hour meter reading at fill-up  Weekly production for the crew  Installed and maintained fuel meters  Mailed data to us on their schedule – monthly was most common  Received reports from UGA showing their fuel usage compared to others in the study  Fuel meters are theirs to keep
  • 16. Sample Size by Machine Type Fellers Skidders Loaders Tons 136,017 160,873 164,972 Hours 5,880 6,599 6,640 Gallons 38,877 41,156 26,923 We often received gallons and hours without production reports. Data received from 1Q2013 through 1Q2014. Study ends 6/30/14.
  • 17. Fuel Use per Hour 6.46 5.05 3.65 9.00 8.00 7.00 6.00 5.00 4.00 3.00 2.00 1.00 0.00 Feller-Buncher Skidder Loader Gallons/Hour CV = 20% CV = 20% CV = 24%
  • 18. Fuel Use per Ton 0.15 0.14 0.09 0.25 0.20 0.15 0.10 0.05 0.00 Feller-Buncher Skidder Loader Gallons/Ton CV = 37% CV = 27% CV = 31%
  • 19. Fuel Usage Conclusions  Fuel consumption to cut/skid/load wood averaged 0.38 gallons per ton.  These crews work flat (but often wet) ground harvesting pine plantations with a limited number of sorts.  These consumption rates likely set a floor rather than an average baseline.
  • 20. Timber – Recession Impacts  Lumber demand off by 40-50% at one point  Sawtimber prices down 35%  Landowners sitting on thinned sawtimber stands waiting for higher prices…?  Pulpwood demand holding due to pulp and wood pellet markets and shortage of lumber chips  Age class distribution impacts and reduced planting – where will future pulpwood be?  Less final harvest = less replanting
  • 21. US South Total Annual Harvest 300 250 200 150 100 50 0 2006 2007 2008 2009 2010 2011 2012 Total Harvest (Million Tons) Pine Sawtimber Pine CNS Pine Pulp Hdwd Sawtimber Hdwd Pulp Source: UGA Wood Demand Report, 2013
  • 22. Timber – Biomass Potential?  Liquid Fuels  30% of US energy use  Still an infant technology  Wood Pellets  Technology here today  Driven by EU subsidies  Pulpwood not forest residues  Production up sharply  Electricity Generation  40% of US energy use  Technology here today  Natural gas has advantage 400,000,000 350,000,000 300,000,000 250,000,000 200,000,000 150,000,000 100,000,000 50,000,000 0 Demand: Bioenergy total Demand: Industry Non-traditional materials Growth Chart source: Forisk Consulting 2011, RISI 2013
  • 23. Biomass  Piled residues through grinders –ash content too high for pellets (>5%)  Chipped tops/slash without piling or WTC <2% ash  Residues rely on demand for other primary products  Roundwood (pulpwood) preferred due to control, cost, low ash, etc.
  • 24. 2000 1800 1600 1400 1200 1000 800 600 400 200 0 No. of Employees 100 - 249 50 - 99 20 - 49 10 - 19 5 - 9 1 - 4 AL/FL/GA Logging Businesses Source: Bureau of Labor Statistics, 2012
  • 25. AL/FL/GA Logging Workforce  Total employment in logging declined 31% since 2000  18% decline since start of recession  Greater decline in businesses than employees 16000 14000 12000 10000 8000 6000 4000 2000 0 Logging Employment in AL, FL, and GA 2000Q1 2001Q1 2002Q1 2003Q1 2004Q1 2005Q1 2006Q1 2007Q1 2008Q1 2009Q1 2010Q1 2011Q1 2012Q1 2013Q1
  • 26. Firms Shift to Higher Production 100% 80% 60% 40% 20% 0% 1987 1992 1997 2002 2007 2012 > 2500 T/wk 1000-2500 T/wk < 1000 T/wk Source: UGA Georgia Logger Survey, 2012
  • 27. Total Volume Produced 51% 39% 2011 Total Tons 10% > 2500 Tons 1000 - 2500 Tons < 1000 Tons  50% of production by 20% of firms  Doubling of larger firms in last 10 years Source: UGA Georgia Logger Survey, 2012
  • 28. Production per Man-Hour 6 5.5 5 4.5 4 3.5 1992 1997 2002 2007 2012 Tons per Man-hour  Consistent improvement in production per employee  No significant changes in technology Source: UGA Georgia Logger Survey, 2012
  • 29. Owner Age – Georgia 25 20 15 10 5 0 25 30 35 40 45 50 55 60 65 70 Percent Age 1992 1997 2002 2007 2012 Source: UGA Georgia Logger Survey, 2012
  • 30. AL/FL/GA Logging Capacity 140 120 100 80 60 40 20 0 2006 2007 2008 2009 2010 2011 2012 2013 Million Tons Logging Capacity Actual Harvest
  • 33. Southern Cut & Load Cost Components 35% 18% 14% 22% 1% 5% 5% Labor Depreciation Repair and Maintenance Fuel Interest Expense Administrative Insurance Range: $9 - $15 per ton
  • 34. UGA Logging Cost Index  Cut & load cost/ton  No hauling cost  Reported quarterly in Timber Mart-South  Replaces the index reported by Stuart on an annual basis  Re-validation underway in 2014 200 175 150 125 100 75 50 Stuart UGA Cost Index
  • 35. The Future?  It is hard to make predictions, especially about the future – Yogi Berra  We have problems, but very few that stronger markets and higher prices would not solve.  Our logging contractors are becoming even more efficient to survive.  Given access to capital, harvesting capacity can rebound rather quickly.  Trucking can be made more efficient with scales, scheduling, and de-linking from logging.
  • 36. Questions? Thanks to Shawn Baker, Samantha Marchman, Cory Dukes, Jason Cutshall for their work shown here.

Editor's Notes

  1. As revenue has lagged behind cost increases, loggers have begun deferring investment in their companies. Over the past five years, average ages of machinery held by companies have increased, which median age of trucks now ten years.
  2. Can we add UGA to the beginning of that source – might need to reduce font, but most people are not familiar with the source.
  3. Across the region, there has not been a widescale shift in the sizes of logging businesses. In 2000, businesses with less than 5 employees were 43% of the industry and in 2012, they remained 41%. We have had a fairly uniform contraction of the entire industry.
  4. The reduction of employees was only slightly less than the reduction in total businesses. This agrees with the relatively minor shift in the sizes of businesses across the region. The timing of employment reductions were much less uniform, though, occurring in two major events. The pulp and paper contraction around 2000, and the recession from 2007-2009.
  5. Companies producing 100+ loads per week weren’t a major component of the industry 25 years ago, but are now 20% of all logging businesses. Smaller companies producing less than 1000 tons per week are far less prevalent. These data are from 25 years of tracking Georgia logging businesses on a 5-year interval performed by UGA. This is the best long-term logging contractor demographic database in the US.
  6. Good and bad of this – larger companies can respond more quickly when production surges are needed, they have the capital and staff to innovate in areas such as dispatched trucking, and they have economies of scale that make compliance with government and sustainability regulations more efficient. They are large enough to be business partners, not dependents. On the other hand, with more logging capacity concentrated in fewer businesses, they will bring more leverage to market negotiations than common with past industry structures which is threatening to many traditional forest industry players.
  7. While employment was decreasing steadily, loggers were offsetting those lost jobs with higher productivity of their remaining employees.
  8. Combining the labor data with our worker productivity data allows us to estimate logging capacity for the state. The red bars are combined tallies of total harvest levels. As a result of increased worker productivity, we estimate that through the recession we lost substantial capacity and are currently 10-12% lower than the estimated peak in 2006. The “excess” capacity has shrunk from 25% of the total harvest level to 19% (got as low as 16% in 2012).
  9. Logging capacity declined across the South, but excess capacity has only declined in one region.