Skip to main content

Advertisement

Log in

Integrated scenario modelling of energy, greenhouse gas emissions and forestry

  • Original Article
  • Published:
Mitigation and Adaptation Strategies for Global Change Aims and scope Submit manuscript

Abstract

Preventing dangerous climate change requires actions on several sectors. Mitigation strategies have focused primarily on energy, because fossil fuels are the main source of global anthropogenic greenhouse gas emissions. Another important sector recently gaining more attention is the forest sector. Deforestation is responsible for approximately one fifth of the global emissions, while growing forests sequester and store significant amounts of carbon. Because energy and forest sectors and climate change are highly interlinked, their interactions need to be analysed in an integrated framework in order to better understand the consequences of different actions and policies, and find the most effective means to reduce emissions. This paper presents a model, which integrates energy use, forests and greenhouse gas emissions and describes the most important linkages between them. The model is applied for the case of Finland, where integrated analyses are of particular importance due to the abundant forest resources, major forest carbon sink and strong linkage with the energy sector. However, the results and their implications are discussed in a broader perspective. The results demonstrate how full integration of all net emissions into climate policy could increase the economic efficiency of climate change mitigation. Our numerical scenarios showed that enhancing forest carbon sinks would be a more cost-efficient mitigation strategy than using forests for bioenergy production, which would imply a lower sink. However, as forest carbon stock projections involve large uncertainties, their full integration to emission targets can introduce new and notable risks for mitigation strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. A small negative price is set because otherwise there would be no incentive to care about the forest carbon sink and do rational harvesting decisions, like thin during the stage of fast growth and final fell close or after the saturation of growth. The price is kept small so that it does not affect other decisions made by the model, such as the total harvested volume.

References

  • Äijälä O, Koistinen A, Sved J, Vanhatalo K, Väisänen P (eds.) (2014) Metsänhoidon suositukset. Metsätalouden kehittämiskeskus Tapion julkaisuja

  • Bioeconomy Strategy (2014) Sustainable growth from bioeconomy—the Finnish Bioeconomy Strategy

  • Böttcher H, Verkerk PJ, Gusti M, HavlÍk P, Grassi G (2012) Projection of the future EU forest CO2 sink as affected by recent bioenergy policies using two advanced forest management models. GCB Bioenergy 4(6):773–783

    Article  Google Scholar 

  • Brenkert A, Smith S, Kim S, Pitcher H (2003) Model documentation for the MiniCAM. Pacific Northwest National Laboratory Richland, WA

    Book  Google Scholar 

  • Crowther TW, Glick HB, Covey KR, Bettigole C, Maynard DS, Thomas SM, Smith JR, Hintler G, Duguid MC, Amatulli G, Tuanmu MN, Jetz W, Salas C, Stam C, Piotto D, Tavani R, Green S, Bruce G, Williams SJ, Wiser SK, Huber MO, Hengeveld GM, Nabuurs GJ, Tikhonova E, Borchardt P, Li CF, Powrie LW, Fischer M, Hemp A, Homeier J, Cho P, Vibrans AC, Umunay PM, Piao SL, Rowe CW, Ashton MS, Crane PR, Bradford MA (2015) Mapping tree density at a global scale. Nature 525:201–205

    Article  Google Scholar 

  • Dieckhoff P, El-Cichakli B, Patermann C (2015) Bioeconomy policy (part II)—synopsis of national strategies around the world. A report from the German Bioeconomy Council

  • Ekholm T (2016) Optimal forest rotation age under efficient climate change mitigation. Forest Policy and Economics 62:62–68. doi:10.1016/j.forpol.2015.10.007

    Article  Google Scholar 

  • Ellison D, Lundblad M, Petersson H (2014) Reforming the eu approach to LULUCF and the climate policy framework. Environmental Science andamp; Policy 40:1–15

    Article  Google Scholar 

  • Energy and Climate Strategy (2013) National Energy and Climate Strategy—Government Report to Parliament on 20 March 2013

  • European Commission (2011) A roadmap for moving to a competitive low carbon economy in 2050. COM(2011) 112 final

  • European Commission (2012) Innovating sustainable growth: a bioeconomy for Europe. COM(2012) 60 final

  • European Commission (2016) Proposal for a Regulation of the European Parliament and of the Council on the inclusion of greenhouse gas emissions and removals from land use, land use change and forestry into the 2030 climate and energy framework and amending Regulation No 525/2013 of the European Parliament and the Council on a mechanism for monitoring and reporting greenhouse gas emissions and other information relevant to climate change. COM(2016) 479 final

  • Eurostat (2016) Forestry and climate change. Available at http://ec.europa.eu/eurostat/statistics-explained/index.php/Forestry_and_climat_change

  • Finnish Forest Research Institute (2013) Finnish statistical yearbook of forestry 2013. Vammalan Kirjapaino Oy, Sastamala, Finland. In Finnish

    Google Scholar 

  • Gustavsson L, Madlener R, Hoen HF, Jungmeier G, Karjalainen T, Klöhn S, Mahapatra K, Pohjola J, Solberg B, Spelter H (2006) The role of wood material for greenhouse gas mitigation. Mitig Adapt Strateg Glob Chang 11 (5):1097–1127. doi:10.1007/s11027-006-9035-8

    Article  Google Scholar 

  • Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA, Tyukavina A, Thau D, Stehman SV, Goetz SJ, Loveland TR, Kommareddy A, Egorov A, Chini L, Justice CO, Townshend JRG (2013) High-resolution global maps of 21st-century forest cover change. Science 342 (6160):850–853. doi:10.1126/science.1244693

    Article  Google Scholar 

  • Haskett J, Schlamadinger B, Brown S (2010) Land-based carbon storage and the European Union emissions trading scheme: the science underlying the policy. Mitig Adapt Strateg Glob Chang 15(2):127–136

    Article  Google Scholar 

  • IEA (2015) Energy and climate change—world energy outlook special report. International Energy Agency IEA

  • Joint Global Change Research Institute (2016) GCAM v4.3 documentation: Global Change Assessment Model (GCAM). Retrieved December 8, 2016 from GCAM Wiki: http://jgcri.github.io/gcam-doc/index.html

  • Kangas AS (1997) On the prediction bias and variance in long-term growth projections. For Ecol Manag 96(3):207–216

    Article  Google Scholar 

  • Koljonen T, Lehtilä A (2015) Modelling pathways to a low carbon economy for Finland. In: Giannakidis G, Labriet M, Ó Gallachóir B, Tosato G (eds) Informing energy and climate policies using energy systems models: insights from scenario analysis increasing the evidence base. Springer International Publishing, pp 163–181

  • Lehtonen A, Mäkipää R, Heikkinen J, Sievänen R, Liski J (2004) Biomass expansion factors (BEFs) for scots pine, Norway spruce and birch according to stand age for boreal forests. For Ecol Manag 188(1):211–224

    Article  Google Scholar 

  • Loulou R, Labriet M (2008) ETSAP-TIAM: the TIMES integrated assessment model Part I: model structure. Comput Manag Scix 5(1-2):7–40

    Article  Google Scholar 

  • Marland G, Fruit K, Sedjo R (2001) Accounting for sequestered carbon: the question of permanence. Environ Sci Policy 4(6):259–268. doi:10.1016/S1462-9011(01)00038-7

    Article  Google Scholar 

  • Matala J, Ojansuu R, Peltola H, Sievänen R, Kellomäki S (2005) Introducing effects of temperature and CO2 elevation on tree growth into a statistical growth and yield model. Ecol Modell 181 (2):173–190

    Article  Google Scholar 

  • Ministry of Agriculture and Forestry Finland (1996). Forest Act. 1093/1996

  • Monni S, Peltoniemi M, Palosuo T, Lehtonen A, Mäkipää R, Savolainen I (2007a) Uncertainty of forest carbon stock changes—implications to the total uncertainty of GHG inventory of Finland. Climatic Change 81(3):391–413. doi:10.1007/s10584-006-9140-4

    Article  Google Scholar 

  • Monni S, Peltoniemi M, Palosuo T, Lehtonen A, Mäkipää R, Savolainen I (2007b) Uncertainty of forest carbon stock changes—implications to the total uncertainty of GHG inventory of Finland. Clim Chang 81(3-4):391–413

    Article  Google Scholar 

  • Nabuurs GJ, Lindner M, Verkerk PJ, Gunia K, Deda P, Michalak R, Grassi G (2013) First signs of carbon sink saturation in european forest biomass. Nat Clim Chang 3(9):792–796

    Article  Google Scholar 

  • Natural Resources Institute Finland (2012) Metla Metinfo VMI tilastot [Metsävarat metsäkeskuksittain – inventointien VMI9–VMI11 tuloksia]. Retrieved, 2016 from http://mela2.metla.fi/mela/tupa/index.php

  • Natural Resources Institute Finland (2015a) MELA Tulospalvelu [TuPa hakupalvelu - VMI11 (mittausvuodet 2009-2013)]. Retrieved February 11, 2016 from http://mela2.metla.fi/mela/tupa/index.php

  • Natural Resources Institute Finland (2015b) Statisticts database [Total roundwood removals]. Retrieved February 12, 2016 from http://statdb.luke.fi/PXWeb/pxweb/en/LUKE/LUKE__04%20Metsa__02%20Rakenne%20ja%20tuotanto__10%20Hakkuukertyma%20ja%20puuston%20poistuma/01_Hakkuukertyma.px/?rxid=8f94b4b4-2407-4210-8de5-68e808f11d94

  • Pan Y, Birdsey RA, Fang J, Houghton R, Kauppi PE, Kurz WA, Phillips OL, Shvidenko A, Lewis SL, Canadell JG et al (2011) A large and persistent carbon sink in the world’s forests. Science 333(6045):988–993

    Article  Google Scholar 

  • Parliamentary Committee on Energy and Climate Issues (2014) Energy and climate roadmap 2050—Report of the Parliamentary Committee on Energy and Climate Issues on 16 October 2014. Publications of the Ministry of Employment and the Economy - Energy and the Climate 50/2014

  • Persson UM (2012) Conserve or convert? Pan-tropical modeling of REDD—bioenergy competition. Biol Conserv 146(1):81–88. doi:10.1016/j.biocon.2011.10.038

    Article  Google Scholar 

  • Pingoud K, Perälä A et al (2000) Studies on greenhouse impacts of wood construction: 1. Scenario analysis of potential wood utilisation in Finnish new construction in 1990 and 1994 2. Inventory of carbon stock of wood products in the Finnish building stock in 1980, 1990 and 1995. VTT Julkaisuja, (840)

  • Pingoud K, Ekholm T, Savolainen I (2012) Global warming potential factors and warming payback time as climate indicators of forest biomass use. Mitig Adapt Strateg Glob Chang 17(4):369–386. doi:10.1007/s11027-011-9331-9

    Article  Google Scholar 

  • Pingoud K, Ekholm T, Soimakallio S, Helin T (2016) Carbon balance indicator for forest bioenergy scenarios. GCB Bioenergy 8(1):171–182

    Article  Google Scholar 

  • Pires JCM, Martins FG, Alvim-Ferraz MCM, Simões M (2011) Recent developments on carbon capture and storage: an overview. Chem Eng Res Des 89 (9):1446–1460

    Article  Google Scholar 

  • Pouzols FM, Toivonen T, Minin ED, Kukkala AS, Kullberg P, Kuusterä J, Lehtomäki J, Tenkanen H, Verburg PH, Moilanen A (2014) Global protected area expansion is compromised by projected land-use and parochialism. Nature 516:383–386. doi:10.1038/nature14032

    Article  Google Scholar 

  • Riahi K, Grübler A, Nakicenovic N (2007) Scenarios of long-term socio-economic and environmental development under climate stabilization. Technol Forecast Soc Chang 74(7):887–935. doi:10.1016/j.techfore.2006.05.026

    Article  Google Scholar 

  • Sathre R, Gustavsson L (2006) Energy and carbon balances of wood cascade chains. Resour, Conserv Recycl 47(4):332–355. doi:10.1016/j.resconrec.2005.12.008

    Article  Google Scholar 

  • Scarlat N, Dallemand JF, Monforti-Ferrario F, Nita V (2015) The role of biomass and bioenergy in a future bioeconomy: policies and facts. Environ Dev 15:3–34

    Article  Google Scholar 

  • Schlamadinger B, Spitzer J, Kohlmaier G, Lüdeke M (1995) Carbon balance of bioenergy from logging residues. Biomass Bioenergy 8(4):221–234. doi:10.1016/0961-9534(95)00020-8

    Article  Google Scholar 

  • Siitonen M, Anola-Pukkila A, Härkönen H K A, Redsven V, Salminen O, Suokas Ae (2001) MELA handbook—2000 edition. The Finnish Forest Research Institute

  • Sokolov AP, Schlosser CA, Dutkiewicz S, Paltsev S, Kicklighter DW, Jacoby HD, Prinn RG, Forest CE, Reilly JM, Wang C et al (2005) MIT Integrated Global System Model (IGSM) version 2: model description and baseline evaluation. Technical. report. MIT Joint Program on the Science and Policy of Global Change

  • Statistics Finland (2015) Statisticts Finland’s PX-Web databases [Greenhouse gas emissions in Finland]. Retrieved February 12, 2016 from http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ymp__khki/010_khki_tau_101.px/?rxid=5b3acd25-a776-47b7-91eb-4f2dd268649e

  • Stehfest E, Van Vuuren D, Kram T, Bouwman L, Alkemade R, Bakkenes M, Biemans H, Bouwman A, Den Elzen M, Janse J, Lucas P, Van Minnen J, Müller M, Prins A (2014) Integrated Assessment of Global Environmental Change with IMAGE 3.0.—model description and policy applications. The Hague: PBL Netherlands Environmental Assessment Agency

  • UNFCCC (2015) Synthesis report on the aggregate effect of the intended nationally determined contributions

  • UNFCCC (2016a) Adoption of the Paris Agreement—Decision 1/CP.21. FCCC/CP/2015/10/Add.1

  • UNFCCC (2016b) Synthesis report on the aggregate effect of the Intended Nationally Determined Contributions, FCCC/CP/2015/7

  • Vass MM, Elofsson K (2016) Is forest carbon sequestration at the expense of bioenergy and forest products cost-efficient in eu climate policy to 2050? J For Econ 24:82–105

    Google Scholar 

  • Vis M, Mantau U, Allen B (2016) Study on the optimised cascading use of wood. No 394/PP/ENT/RCH/14/7689. Final report, Brussels, p 337

    Google Scholar 

  • Wise M, Calvin K, Thomson A, Clarke L, Bond-Lamberty B, Sands R, Smith SJ, Janetos A, Edmonds J (2009) Implications of limiting CO2 concentrations for land use and energy. Science 324(5931):1183–1186

    Article  Google Scholar 

  • Zomer RJ, Trabucco A, Bossio DA, Verchot LV (2008) Climate change mitigation: a spatial analysis of global land suitability for clean development mechanism afforestation and reforestation. Agric Ecosyst Environ 126(1–2):67 – 80. doi:10.1016/j.agee.2008.01.014

    Article  Google Scholar 

Download references

Acknowledgements

The research has been done in the project ECOSUS, funded by the Academy of Finland (decision no.: 257174).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tommi Ekholm.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Siljander, R., Ekholm, T. Integrated scenario modelling of energy, greenhouse gas emissions and forestry. Mitig Adapt Strateg Glob Change 23, 783–802 (2018). https://doi.org/10.1007/s11027-017-9759-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11027-017-9759-7

Keywords

Navigation