Current practices and efficiency gaps in logging ...

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Oct 12, 2015 - University of Natural Resources and Life Sciences. Department of Forest and Soil ... Truck with trailer. Transport distance (km). Frequency in ...
Current practices and efficiency gaps in logging operations from European mountain forests

University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

Adrian Enache1, Martin Kühmaier1, Rien Visser2, Karl Stampfer1 1 University

of Natural Resources and Life Sciences, Institute of Forest Engineering, Vienna, Austria

2 University

of Canterbury – School of Forestry, Christchurch, New Zealand

* Corresponding author: [email protected]

10.12.2015

Institute of Forest Engineering (BOKU)

Dr. Adrian ENACHE

1

INTRODUCTION European mountain forests

University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

 forests cover 41% of the EU mountain areas  multifunctional role - wide variety of ecosystem services  high variability in timber harvesting intensity, machinery used, productivity, costs, etc.

Goals  assess current logging practices

 highlight existing efficiency gaps  identify opportunities for improving efficiency 10.12.2015

Institute of Forest Engineering (BOKU)

Dr. Adrian ENACHE

2

METHODS  web-designed data collection protocol (questionnaire) University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

 7 case study areas (CSA) in EU mountain ranges  632 operations: 290 thinning op., 342 regeneration felling op.

10.12.2015

Forest Altitude (m) Slope (%) area (ha) Mean ± SD Mean ± SD

Tree species

FM System

32±21

Scots pine, Pyrenean oak

59CO, 35EA, 6NO

1310±189

36±25

Spruce, fir, beech

94UA, 6NO

579

1523±157

61±21

Spruce, beech, maple, fir

100UA

Slovenia

5016

973±201

22±14

Beech, fir, spruce

29EA, 65UA, 6NO

CSA 5

Sweden

10405

482±68

11±7

Scots pine, spruce, birch

100EA

CSA 6

Slovakia

5130

1057±166

29±14

Spruce, fir, beech

100EA

CSA7

Bulgaria

1737

1580±176

56±52

Scots pine, black pine, fir, beech, spruce

70EA, 30NO

CSA

Country

CSA 1

Spain

2654

1422±107

CSA 2

France

5190

CSA 3

Austria

CSA 4

Institute of Forest Engineering (BOKU)

Dr. Adrian ENACHE

3

METHODS  statistic analysis: t-test, ANOVA, correlation tests University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

Road network

Transport method

Transport parameters

Accidents in logging operations

Density roads (m ha-1)

Single truck

Loading capacity (t)

Accident quote

Density skid trails (m ha-1)

Truck with trailer

Transport distance (km)

Frequency in harvesting

Construction costs (€ m-3)

Train

Fuel costs (€ litre-1)

Frequency in extraction

Maintenance costs (€ m-3)

Others

Transport costs (€ m-3)

-

Harvesting method

Felling and processing

Extraction methods

Axe

Manual

Saw

Animal

Chainsaw

Tractor

Feller-buncher

Skidder

Harvester

Forwarder

-

Cable yarder

Whole tree (WT) Tree length (TL) Cut-to-length (CTL)

10.12.2015

Institute of Forest Engineering (BOKU)

Productivity

Costs

m3 PSH-1

€ m-3

Dr. Adrian ENACHE

4

METHODS Efficiency gaps analysis

University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

 Scenarios: 1. BAU – business as usual: current harvesting systems (HS) and road network 2. Improved road network & BAU HS 3. Improved road network & NEW HS

 Indicators:  road density, extraction distance, HS productivity, HS costs, transport, fuel consumption, CO2 emissions, number of accidents & mean damage stand index. 10.12.2015

Institute of Forest Engineering (BOKU)

Dr. Adrian ENACHE

5

RESULTS – Current practices University of Natural Resources and Life Sciences

Across CSA

Department of Forest and Soil Sciences

Harvesting methods

Extraction methods 15%

1%

8% 3%

40% 29%

60%

Tree length (TL)

10.12.2015

Cut-to-length (CTL)

Institute of Forest Engineering (BOKU)

44%

Animal

Forwarder

Manual

Skidder

Tractor

Dr. Adrian ENACHE

Cable Yarder

6

RESULTS – Current practices Mechanization degree 100%

University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

80% 60% 40% 20% 0% CSA 1 (SP)

CSA 2 (FR)

CSA 3 (AT)

Partly

CSA 4 (SLO)

Highly

CSA 5 (SWE)

CSA 6 (SK)

CSA 7 (BG)

Fully

a) Productivity (m3 h-1) Felling & processing

Extraction

b) Costs (€ m-³) Felling & processing

16.2 16.5 11.5

8.2

6.6 6.4

Extraction

24.0 13.7 9.8

9.8 6.5

1.3 Partly 10.12.2015

Institute of Forest Engineering (BOKU)

Highly

Fully

Partly

Highly

Dr. Adrian ENACHE

Fully 7

RESULTS – Current practices University of Natural Resources and Life Sciences

Timber extraction

Department of Forest and Soil Sciences

b) Costs (€ m-3)

a) Productivity (m3 h-1)

24.9

17.4

11.3 8.1

8.0

9.3

10.2

9.3

8.6

6.1 2.3

2.3

Productivity Animal

10.12.2015

Forwarder

Manual

Skidder

Costs Tractor

Institute of Forest Engineering (BOKU)

Cable Yarder

Animal

Forwarder

Manual

Skidder

Tractor

Dr. Adrian ENACHE

Cable Yarder

8

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

Road network Road density (m ha-1)

35.0

Department of Forest and Soil Sciences

18,5 m ha-1

19,4 m ha-1

20,2 m ha-1

30.0 25.0 20.0 15.0 10.0 5.0 0.0 CSA1

CSA2

Scenario 1 Mean Scenario 1

10.12.2015

Institute of Forest Engineering (BOKU)

CSA3

CSA5

Scenario 2 Mean Scenario 2

CSA6

CSA7

Scenario 3 Mean Scenario 3

Dr. Adrian ENACHE

9

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

Extraction distance Mean extraction distance (m)

600

Department of Forest and Soil Sciences

338 m

501 m

307 m

500 400 300 200 100 0 CSA1

CSA2

CSA3

Scenario 1

10.12.2015

Institute of Forest Engineering (BOKU)

CSA4 Scenario 2

CSA5

CSA6

CSA7

Scenario 3

Dr. Adrian ENACHE

10

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

Timber harvesting productivity (m3 h-1)

Productivity 40.0

Department of Forest and Soil Sciences

14,6 m3 h-1

23,3 m3 h-1

35.0 30.0 25.0 20.0 15.0 10.0 5.0 0.0 CSA1

CSA2

Scenario 1 Mean Scenario 1

10.12.2015

15,7 m3 h-1

Institute of Forest Engineering (BOKU)

CSA3

CSA4

CSA5

Scenario 2 Mean Scenario 2

CSA6

CSA7

Scenario 3 Mean Scenario 3

Dr. Adrian ENACHE

11

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

Timber harvesting costs (€ m-3)

Costs

Department of Forest and Soil Sciences

26,4 € m-3

50.0 45.0 40.0 35.0 30.0 25.0 20.0 15.0 10.0 5.0 0.0 CSA1

CSA2

Scenario 1 Mean Scenario 1

10.12.2015

Institute of Forest Engineering (BOKU)

22,9 € m-3

CSA3

CSA4

19,4 € m-3

CSA5

Scenario 2 Mean Scenario 2

CSA6

CSA7

Scenario 3 Mean Scenario 3

Dr. Adrian ENACHE

12

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

CO2 emissions 5,6 kg m-3

9.0 CO2 emissions ( kg m-3)

Department of Forest and Soil Sciences

4,8 kg m-3

5,4 kg m-3

8.0 7.0 6.0 5.0 4.0 3.0 2.0 1.0 0.0 CSA1

CSA2

CSA3

Scenario 1 Mean Scenario 1

10.12.2015

Institute of Forest Engineering (BOKU)

CSA4

CSA5

Scenario 2 Mean Scenario 2

CSA6

CSA7

Scenario 3 Mean Scenario 3

Dr. Adrian ENACHE

13

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

Timber transport (loading capacity)

Department of Forest and Soil Sciences

Loaded truck weight (t)

60.0 50.0 40.0 30.0 20.0 10.0 0.0 CSA1

CSA2

CSA3

Total weight of loaded truck (t)

10.12.2015

Institute of Forest Engineering (BOKU)

CSA5

CSA6

CSA7

Max. allowed weight (t)

Dr. Adrian ENACHE

14

RESULTS – Efficiency gaps University of Natural Resources and Life Sciences

Timber transport (distance & costs) 300

Department of Forest and Soil Sciences

20.0

250

16.0 14.0

200

12.0 150

10.0 8.0

100

6.0 4.0

50

Transport cost (€ m-3)

Transport distance (km)

18.0

2.0 0

0.0 CSA1

CSA2

CSA3

Transport distance

10.12.2015

Institute of Forest Engineering (BOKU)

CSA5

CSA6

CSA7

Transport cost

Dr. Adrian ENACHE

15

CONCLUSIONS Mountain Forests

University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

 no influence of FM system, terrain topography on selection of HS  availability and affordability of state-of-the-art HS  quality of the road network (layout and trafficability)?  mechanization degree  transfer of knowledge to practical know-how  capacity building & training of forest workers

10.12.2015

Institute of Forest Engineering (BOKU)

Dr. Adrian ENACHE

16

THANK YOU! Acknowledgments

University of Natural Resources and Life Sciences Department of Forest and Soil Sciences

The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 289437 – ARANGE Project.

Advanced multifunctional forest management in European mountain ranges 10.12.2015

Institute of Forest Engineering (BOKU)

Dr. Adrian ENACHE

17

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