Optimized Forestry Using GIS
Optimized forestry using GIS Isabelle Bergkvist, Skogforsk Sweden
A quick view of Swedish forestry •
23 million ha forest, equals 50% of the land area
•
Yearly logging volume approximately 80 million m3
•
15% of the total value for Swedish export
•
Mechanized and, almost 100% CTL (cut to length systems )
•
High demands from society and the consumer of wood products - Sustainable and high valued logging with equal goals for production and biodiversity
An increased problem to solve -ground damages, soil compaction, hazardous to water and vegetation
•
Common policy in Swedish forestry
•
The key is good planning •
Concentrate the logging roads to areas with high carrying capasity
•
Focus on protection of soil and water
•
High cost if it is managed only in the field
•
That's were we use GIS as a decision support tool DTM Elevation Slope Aspect
•
Areas were not to drive
Cost index surface with optimized extraction roads
• L
Landing for all loggs Wood concentration Optimized roads High cost
Low cost
Posibility to estimate the value of different alternatives
•
BRIDGE
Wet areas mapping, University of new Brunswick
•
70-80 % of all damages in logging operations
Dry •
Wet Big damages Small damages
Minskning total terr. trsp. m 25000
Higher production /Lower cost
20000
1 $/m3
15000 10000
0,10 $/m3
5000 0 5%
10%
15%
20%
25%
Shorter transport distances
30%
Decreased C02 emissions
Common goal for everyone
•
High biodiversity and clean water
•
Increased productivity
•
Better knowledge and less mistakes
Thank You Isabelle Bergkvist www.skogforsk.se
A quick view of Swedish forestry •
23 million ha forest, equals 50% of the land area
•
Yearly logging volume approximately 80 million m3
•
15% of the total value for Swedish export
•
Mechanized and, almost 100% CTL (cut to length systems )
•
High demands from society and the consumer of wood products - Sustainable and high valued logging with equal goals for production and biodiversity
An increased problem to solve -ground damages, soil compaction, hazardous to water and vegetation
•
Common policy in Swedish forestry
•
The key is good planning •
Concentrate the logging roads to areas with high carrying capasity
•
Focus on protection of soil and water
•
High cost if it is managed only in the field
•
That's were we use GIS as a decision support tool DTM Elevation Slope Aspect
•
Areas were not to drive
Cost index surface with optimized extraction roads
• L
Landing for all loggs Wood concentration Optimized roads High cost
Low cost
Posibility to estimate the value of different alternatives
•
BRIDGE
Wet areas mapping, University of new Brunswick
•
70-80 % of all damages in logging operations
Dry •
Wet Big damages Small damages
Minskning total terr. trsp. m 25000
Higher production /Lower cost
20000
1 $/m3
15000 10000
0,10 $/m3
5000 0 5%
10%
15%
20%
25%
Shorter transport distances
30%
Decreased C02 emissions
Common goal for everyone
•
High biodiversity and clean water
•
Increased productivity
•
Better knowledge and less mistakes
Thank You Isabelle Bergkvist www.skogforsk.se
