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Hans Verkerk, Vladimir Korotkov, Jeannette Meyer, Sergey Zudin, Sergey Lebedev, Marcus Lindner

Hans Verkerk, Vladimir Korotkov, Jeannette Meyer, Sergey Zudin, Sergey Lebedev, Marcus Lindner. Impact of wood demand and forest management on forest development and carbon stocks in Kostroma region, Russia. Introduction. Forests important for controlling CO 2 concentration

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Hans Verkerk, Vladimir Korotkov, Jeannette Meyer, Sergey Zudin, Sergey Lebedev, Marcus Lindner

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  1. Hans Verkerk, Vladimir Korotkov, Jeannette Meyer, Sergey Zudin, Sergey Lebedev, Marcus Lindner Impact of wood demand and forest management on forest development and carbon stocks in Kostroma region, Russia

  2. Introduction • Forests important for controlling CO2 concentration • Russian forests important • 21% of global forest area • large carbon pool • carbon sink • but: • managed unsatisfactorily • subject to huge changes

  3. Introduction • Aim: • to explore the effects of different wood demands and forest management strategies on forest development and carbon stocks • to contribute to the development of sustainable forest management strategies in Russia

  4. Introduction • Research questions • Demand: • Is the rapid increase in demand sustainable? • Is it possible to fulfill the demand? • Management: • What impact does forest management have on the structure of the forest and on carbon stocks?

  5. Methods • Study area: Chukhlomskoy FMU • Forested area 226620 ha • Species: • Scots pine (14%) • Norway spruce (32%) • Birch (39%) • European aspen (14%) • Other (1%)

  6. Methods • Application of EFISCEN • Forest inventory of 1996 • 24 forest types distinguished • Data • Volume and increment from forest inventories • Established BEFs • Marklund equations + EFIMOD coefficients • Russian yield tables • Simulation period: 40 years

  7. The EFISCEN model framework Scenarios Input data

  8. The area matrix approach of EFISCEN • Forest types are specified by: • Region • Owner • Site class • Tree species

  9. INVENTORY DATA: STEMWOOD VOLUME, m3 (from EEFR database) The Carbon Calculation Dry wood density, Mg/m3 DRY WOOD BIOMASS, Mg Carbon content, % CARBON IN STEM BIOMASS, Mg Biomass expansion factors by age classes, tree species, region CARBON IN WHOLE TREE BIOMASS, Mg Biomass turnover by age classes, tree species, region CARBON TO LITTER, Mg/yr-1

  10. Methods • Scenarios • 2 species scenarios • no change in species • increase of coniferous species • 5 demand scenarios • constant demand • increasing demand • 3 management scenarios • changing share of thinnings in removals • changing rotation length

  11. Results • Forest structure in 1995

  12. Results of demand scenarios • Forest structure MSD scenario Average age: 44 years CP scenario Average age: 68 years

  13. Results demand scenarios • Forest growth • Average growing stock • Average carbon stocks

  14. Results demand scenarios • Removals MSD CP

  15. Results management scenarios • Forest structure

  16. Results management scenarios • Forest growth and average carbon stock Increment Carbon

  17. Results management scenarios • Removals • Total demand could be fulfilled under every scenario • Increase share of thinnings • in MSD scenario: 24,400 m3/year • in HIT scenario: 138,000 m3/year • in LR scenario 194,200-195,800 m3/year • No change in share of thinnings SR scenario

  18. Discussion • Mortality: • Low volume of removals + absence of natural mortality in EFISCEN Accumulation of area in oldest age-class

  19. Discussion • Forest growth and carbon stocks • Initial average growing stock: 154 m3/ha • Initial average carbon stock: 50.4 ton/ha • Estimates are in accordance with literature • Increase in average growing/carbon stock • Rate MSD scenario in accordance with literature

  20. Discussion • Increasing wood demand • Demand could be sustained • demand still lower than maximum volume of removal (MSD) • High share of wood from deciduous species • Industrial use of this wood still limited

  21. Discussion • Forest management • HIT scenario: huge increase in thinnings possible • Set aside forests for nature conservation • Silvicultural advantages • LR: biggest increase in average growing/carbon stock • SR: rather small effect on average growing/carbon stock

  22. Conclusions • Expected increase in removals is sustainable • More equal distribution of area over age-classes • Expected increase does not exceed maximum sustainable cut (MSD scenario) • Expected demand could be fulfilled • High share of deciduous species • Beneficial to: • Increase share of thinnings • Prolong rotation length

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