Climate change mitigation effect of harvested wood products in regions of Japan
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Harvested wood products (HWPs) mitigate climate change through carbon storage, material substitution, and energy substitution. We construct a model to assess the overall climate change mitigation effect (comprising the carbon storage, material substitution, and energy substitution effects) resulting from HWPs in regions of Japan. The model allows for projections to 2050 based on future scenarios relating to the domestic forestry industry, HWP use, and energy use.
Using the production approach, a nationwide maximum figure of 2.9 MtC year−1 for the HWP carbon storage effect is determined for 2030. The maximum nationwide material substitution effect is 2.9 MtC year−1 in 2050. For the energy substitution effect, a nationwide maximum projection of 4.3 MtC year−1 in 2050 is established, with at least 50 % of this figure derived from east and west Japan, where a large volume of logging residue is generated. For the overall climate change mitigation effect, a nationwide maximum projection of 8.4 MtC year−1 in 2050 is established, equivalent to 2.4 % of Japan’s current carbon dioxide emissions.
When domestic roundwood production and HWP usage is promoted, an overall climate change mitigation effect is consistently expected to be attributable to HWPs until 2050. A significant factor in obtaining the material substitution effect will be substituting non-wooden buildings with wooden ones. The policy of promoting the use of logging residue will have a significant impact on the energy substitution effect. An important future study is an integrated investigation of the climate change mitigation effect for both HWPs and forests.
KeywordsHarvested wood products (HWPs) Carbon storage effect Material substitution effect Energy substitution effect Inter-regional flow Production approach
The Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) has indicated that forests and harvested wood products (HWPs) contribute heavily to global carbon cycles . HWPs mitigate climate change via a carbon storage effect, a material substitution effect (a reduction in the consumption of fossil fuels in material production, transportation, etc., as a result of the substitution of other materials with HWPs), and an energy substitution effect (the substitution of fossil fuels as a result of the energy use of HWPs) .
IPCC and the United Nations Framework Convention on Climate Change (UNFCCC) have been discussing various methods of calculating the carbon balance of HWPs, including the IPCC default approach, the stock change approach, the atmospheric flow approach, the stock change approach domestic use, and the production approach [3, 4, 5]. As a result of these discussions, since the second commitment period of the Kyoto Protocol (i.e., since 2013), the change in the carbon storage volume of HWPs has been included in the calculation of each country’s greenhouse gas (GHG) emissions and sinks. A modified production approach has been adopted to calculate GHG emissions and sinks, which solely includes the change in the carbon storage volume of domestically produced wood from a country’s forests (including wood exported to other countries), as stipulated in Article 3, Paragraphs 3 and 4, of the Kyoto Protocol [6, 7]. As a result of such international involvement, research into carbon balancing pertaining to HWPs and consideration of relevant climate change mitigation strategies are increasingly growing in significance.
Prior research has estimated and evaluated the carbon balancing of HWPs globally , in EU countries , and in specific countries such as the United States , Canada [11, 12], Portugal , and Slovekia . Other studies have conducted an integrated carbon balance assessment of forests and HWPs worldwide [15, 16] and in the United States [17, 18], Canada [19, 20, 21], Germany , France , Finland , Switzerland , and China .
There were two significant problems in our previous report . First, despite the importance of the carbon storage volume of domestically produced HWPs from a country’s forests (namely the production approach) to the UNFCCC, our previous model could not indicate the detail of HWPs produced from domestic forests, and therefore an adequate assessment of the carbon storage volume and future changes relating to HWPs derived from domestic production in each region was not possible. Second, for the climate change mitigation effect, only the carbon storage effect and energy substitution effect were targeted, and it was not feasible to address the overall mitigation effect that takes into account the material substitution effect.
In this study, therefore, the first area of concern has been addressed through a number of future scenarios relating to HWPs derived from domestic forests, which consider the future of the domestic forestry industry and of HWP use from various viewpoints. Furthermore, carbon storage volume and its future changes are estimated using the production approach with country-specific methods . The second point of concern has been addressed through the evaluation of the overall climate change mitigation effect, which takes into account the material substitution effect. The initial projection year was also changed from 2005 in the previous model to 2014, to include the most recent figures available. As a result, it was possible to reflect in the projections the impact on HWP supply and demand of such things as the Lehman Brothers collapse in 2008 and the Great East Japan Earthquake of 2011. Further considerations included the civil engineering field as an application for HWPs and the use of logging residue for energy generation. As a result, the problems with the previous model were resolved, giving rise to an improved comprehensive model (hereinafter “new model”). Based on the new model, the HWP carbon balance in each region of Japan was evaluated, and the overall climate change mitigation effect to 2050 was estimated, in line with multiple future scenarios. For future studies, this new model plays the part of an integrated carbon balance model for the Japanese forest sector combining forests and HWPs .
Structure of the model
Because the volume of Japanese HWP imports is very large (71 % of the volume of the overall HWP supply in 2013) , the model targets not only domestically produced HWPs but also imported HWPs. However, when assessing carbon balance, the carbon storage in HWP derived from only domestic forests (excluding imports) and its future changes, are estimated using the production approach. The volume of Japanese HWP exports has remained below 3 % of the volume of overall HWP demand for more than 50 years , and the export volume for each application has been unclear. According to the 2013 Revised Supplementary Methods and Good Practice Guidance Arising from the Kyoto Protocol of the IPCC , the annual change in carbon storage in HWPs is assumed to be zero (instantaneous oxidation) when transparent and verifiable activity data are not available. Therefore, HWP exports were not taken into consideration.
The “Methods” section details the new model, highlighting model improvements.
Combinations of future scenarios
Three scenarios were considered for HWP consumption volume, namely business as usual (BAU), moderate promotion of usage (Mod), and aggressive promotion of usage (Agg). Under the BAU scenario, the proportion of wood used in building construction, the proportion of wood used in furniture, and the volume of HWPs consumed in civil engineering projects all remain unchanged at the current level until 2050. Under the moderate usage promotion scenario, the proportion of wood used in building construction and in furniture making increases from 35 to 50 % by 2050 and the volume of HWPs consumed in civil engineering projects increases to 3 Mm3 by 2050 from the current 1 Mm3. Under the aggressive usage promotion scenario, the proportion of wood used in building construction and in furniture making increases to 70 % by 2050, and the volume of HWPs consumed in civil engineering projects increases to 6 Mm3 by 2050. No distinction was made between scenarios for the volume of paper consumption, with no change in per-person paper consumption anticipated through 2050. Details on HWP consumption volume are explained in the “Methods” section.
Three similar scenarios were also assumed for the volume of energy usage, namely business as usual (BAU), moderate promotion of usage (Mod), and aggressive promotion of usage (Agg). The BAU scenario entails no change in energy usage until 2050 with the current proportion of logging residue, processing residue, and waste wood. In the moderate usage promotion scenario, in 2050, in addition to the current energy-usage proportion, half of the unutilized proportion is used. In the aggressive usage promotion scenario, in 2050, in addition to the current energy-usage proportion, the whole of the unutilized proportion is used. Details of the volume of energy usage are explained in the “Methods” section.
Results and discussion
Carbon storage effect
Material substitution effect
Energy substitution effect
In the present study, the term “logging residue” refers to items such as branches and leaves generated after tree harvesting; it does not refer to items such as unused thinning wood. If we also take into account the residue resulting from thinning standing trees, the volume of residue available for energy use is likely to be greater. The degree to which such logging residue, seldom used in Japan and often left on the forest floor, is used in the future will have a significant impact on the energy substitution effect. At the same time, removing logging residue from the forest floor decreases the carbon storage in dead organic matter and soil in forests . A future study needs to investigate a trade-off relationship between the energy use of logging residue and carbon storage in forests.
Climate change mitigation effect
Because the decline of the forestry and wood industries in Japan is currently an issue , it is imperative to promote the use of HWPs derived from domestic forests to contribute toward revitalizing these industries. Therefore, the aggressive usage scenarios have the potential to produce the combined effect of both revitalizing the domestic forestry and wood industries and achieving carbon emissions reduction related to HWPs. On the other hand, the volume of the usage of HWP derived from domestic forests has a trade-off relationship with the volume of carbon storage in domestic forests [35, 36]. According to the results estimated from a carbon balance model for Japanese forests (including both vegetation and soil) , carbon removals (annual changes in carbon storage) by domestic forests declined from around 20 MtC year−1 under the BAU scenario to around 10 MtC year−1 (approximately 50 % decrease) under the aggressive wood harvesting scenario in 2050. Our estimated results showed that the volume of the overall climate change mitigation effect of HWPs could be expected to be over 8 MtC year−1 in 2050 under these aggressive usage scenarios, and mostly compensate for the decrease in domestic forests. An important future consideration is an integrated investigation of the carbon balance for both HWPs and forests [21, 37].
Considering the carbon storage effect of HWPs derived from domestic forests according to the production approach, under the future scenarios of conservation of domestic forest resources and of business as usual as regards and HWP usage, the carbon storage effect will not be obtained over the span of time until 2050. However, under the future scenarios whereby domestic roundwood production and HWP usage is promoted, the carbon storage effect is consistently expected up until 2050, with an anticipated nationwide maximum of 2.9 MtC year−1 in 2030.
As regards the material substitution effect, in the future scenarios in which HWP usage is promoted, the maximum nationwide carbon emissions reduction volume is estimated at 2.9 MtC year−1 in 2050. In addition, the substitution of wooden building construction for non-wooden building construction could be expected to prompt a large reduction and could prove to be an effective mitigation strategy.
As regards the energy substitution effect, under future scenarios in which domestic roundwood production, HWP usage, and energy use are all promoted, a maximum nationwide carbon emissions reduction volume of 4.3 MtC year−1 is obtained by 2050, with the greatest contribution coming from increased use of logging residue. In addition, upwards of 50 % of the reduction volume is derived from east and west Japan, influenced by the fact that these regions have a large volume of roundwood production, which is a source of logging residue.
Taken together, the carbon storage effect, the material substitution effect, and the energy substitution effect for HWPs derived from domestic forests under future scenarios that promote domestic roundwood production, HWP usage, and energy use, a maximum nationwide climate change mitigation effect of 8.4 MtC year−1 can be achieved in 2050, which is equivalent to 2.4 % of Japan’s total carbon dioxide emissions volume in 2013. In this case, the volume of the climate change mitigation effect of HWPs is comparable to the volume of the carbon removal effect of Japanese forests.
In the present study, the overall climate change mitigation effect attributable to HWPs in each region of Japan was clarified, and future projected changes until 2050 were explored. A major issue for the future entails the integrated investigation of the carbon balance of HWPs and forests and relevant changes, together with a consideration of their trade-off relationships [21, 35, 36, 37]. Furthermore, it is also important to consider the leakage of the international HWP trade on each country’s forests [38, 39], where declining carbon storage in forests in countries, which export HWP to Japan, is balanced with limited domestic wood harvesting and conservation of Japanese forests.
HWP consumption volume and stock
Actual values were used through 2013 , and future scenarios for 2014–2050 were assigned according to the proportion of wooden construction within the floor area of new construction (CFAt,i,l,m). Under the BAU scenario, it was assumed that there was no change in the 35 % wooden construction ratio between 2014 and 2050, and under the moderate usage promotion (Mod) scenario, an increase from 35 % in 2014 to 50 % by 2050 was assumed, following an S-shaped curve , while under the aggressive usage promotion (Agg) scenario an increase to 70 % by 2050 was assumed.
In the model, no HWPs (roundwood, cylindrical poles) were assumed to be consumed in civil engineering (UWCt,i,l,p) until 2009 because of the lack of reliable figures from statistical data, and 1 Mm3 was used for 2010 . From 2011, future scenarios were assigned and, under the BAU scenario, it was assumed that there was no increase from the 1 Mm3 in 2010 until 2050, while, under the Mod scenario, an increase following an S-shaped curve was assumed from 2011, reaching 3 Mm3 in 2050. Under the Agg scenario, an increase to 6 Mm3 by 2050 was assumed. Since the current and future breakdown of consumption volume between each civil engineering application is unclear, 50 % was assumed for soil liquefaction countermeasure piles and 50 % for cylindrical poles used in wooden road safety guardrails. However, the cylindrical pole yield from roundwood was set at 0.8 , while the actual use in wooden guardrails is set at 40 %; the remaining 10 % assumed to be processing residue.
For lifetime (half-life) (b), it was assumed that the piles will remain permanently anchored in the ground , while, for the wooden guardrails, 10 years was assumed based on observations in Japan .
Actual values [46, 47, 48] were used until 2013, while future scenarios from 2014 were assigned according to the proportion of wood used in furniture (WFPt). In the BAU scenario, it was assumed that there was no change in the current 35 % proportion of wood used in furniture during 2014–2050; in the Mod scenario, a 50 % increase in the proportion following an S-shaped curve was assumed from 2014 to 2050; and in the Agg scenario, an increase to 70 % by 2050 was assumed.
Real values  were used until 2013; for future scenarios from 2014, we explored only the BAU scenario. It was assumed that paper product consumption per person would remain unchanged at its 2013 level in 2014 and beyond and that consumption would change in line with future changes in population .
Energy use volume
Future scenarios were assigned according to the rate of energy use (Ee). Under the BAU scenario, it was assumed that there would be no change in the current rate of energy use (0 % for logging residue, 21 % for processing residue, and 83 % for waste wood) [51, 52] between 2014 and 2050. Under the Mod scenario, an increase in usage from 2014 was assumed, reaching the current rate of use plus half the unused proportion in 2050 (49 % for logging residue, 24 % for processing residue, and 87 % for waste wood) [51, 52]. Under the Agg scenario, an increase in usage was assumed, reaching the current rate of energy use plus the whole unused proportion in 2050 (99 % for logging residue, 27 % for processing residue, and 90 % for waste wood) [51, 52]. The rate of use for each year from 2014 to 2050 was set using linear interpolation.
Domestic production volume within HWP consumption volume and stock volume
The volume of roundwood and cylindrical poles production for civil engineering in each region was taken from the volume of domestically produced roundwood indicated in the Future scenarios section.
The remaining domestic roundwood production volume was distributed as production volume for sawnwood, plywood and chips used in building construction, furniture, and paper. The relevant proportions were set at sawnwood-use 60 %, plywood-use 15 %, and chip-use 25 %, with reference to past actual values .
Production volume of sawnwood and plywood derived from domestic roundwood was distributed among production for building construction and for furniture. Relevant proportions of HWP consumption attributable to building construction and to furniture production mentioned in the HWP consumption volume and stock section were used. Moreover, the volume of chip production derived for domestic roundwood was allocated exclusively to paper.
HWP import volume or roundwood import volume was assumed to be what remains when the volume of sawnwood, plywood, and chip production derived from domestic roundwood is deducted from the HWP consumption volume. However, since this study used the production approach to account for the carbon storage in HWPs, imports were not taken into consideration.
The flow of HWPs derived from domestic forests between regions of Japan (east, central, and west) was estimated, with reference to past actual flow data [53, 54]. The flow of roundwood from its location to the production location of resulting sawnwood, plywood, or chips was taken to be entirely intra-regional, rather than inter-regional. Looking at the flow of sawnwood from the location of its production to the location of HWP consumption, 15 % of consumption volume in central Japan was taken to be from east Japan, 70 % from central Japan, and 15 % from west Japan. Looking at the flow of plywood from the location of production to the location of HWP consumption, 15 % of consumption volume in central Japan was taken to be from east Japan, 75 % from central Japan, and 10 % from west Japan. The flow of chips from the location of their production to the location of paper product consumption was taken to be intra-regional, rather than inter-regional. Looking at the flow of paper products from the location of their production to the location of paper product consumption, 25 % of consumption volume in central Japan was taken to be from east Japan, 55 % from central Japan, and 20 % from west Japan. In addition, it was assumed that logging residue, processing residue, and waste wood were used for energy in the region where they were generated, and they were not included in consideration of inter-regional flow.
Climate change mitigation effect attributable to HWPs
Carbon storage effect
A distinction was made between products derived from domestic forests and products derived from imports using the process outlined in the Domestic production volume within HWP consumption volume and stock volume section and Fig. 11.
Material substitution effect
Carbon emissions reduction intensities attributable to fossil fuel consumption, as a result of HWP substitution for non-wooden materials
Building construction: substitution of wooden buildings for non-wooden buildings
Civil engineering: substitution of wooden piles for cement and sand piles
Civil engineering: substitution of wooden guardrails for metal guardrails
Furniture: substitution of wooden furniture for metal furniture
In Table 2, the carbon emissions reduction intensity attributable to the substitution of wooden building for non-wooden building (kgC m−2) was taken from MiLCA . It was calculated by subtracting the emission intensity for wooden building (kgC m−2) from the emission intensity for non-wooden building (reinforced concrete, steel reinforced concrete, steel and concrete blocks) (kgC m−2), from the weighted average, based on 2013 building construction floor space (m2). The emission reduction intensity attributable to the substitution of wooden piles for non-wooden piles in civil engineering was taken from . The emission intensity for wooden piles (kgC m−2) was subtracted from the average value (kgC m−2) of the emission intensity per unit of improved area for cement and sand piles, to generate an emission reduction intensity per unit of HWP-use volume (kgC m−3). The emission reduction intensity attributable to the substitution of wooden guardrails for metal guardrails in civil engineering was taken from . The emission intensity for wooden guardrails (kgC m−1) was subtracted from the emission intensity for metal guardrails (kgC m−1), to give a reduction intensity per unit of HWP-use volume (kgC m−3). The reduction intensity attributable to the substitution of metal furniture with wooden furniture was taken from MiLCA . The emission intensity for wooden furniture (kgC item−1) was subtracted from the emission intensity for metal furniture (kgC item−1), to generate a reduction intensity per unit of HWP-use volume (kgC m−3).
Energy substitution effect
Climate change mitigation effect
The climate change mitigation effect is the sum of the annual change in carbon storage volume outlined in the Carbon storage effect section, the volume of annual carbon emissions reduction owing to the material substitution outlined in the Material substitution effect section, and the volume of annual carbon emissions reduction owing to energy substitution outlined in the Energy substitution effect section.
CK designed the carbon balance model of this study, conducted the simulation, and wrote the manuscript. YT designed the model together with CK, and helped write the manuscript. MT built the research team that conducted the research project, participated in the design of this study, and helped write the manuscript. All authors have read and approved the final manuscript.
This research was supported by the Agriculture, Forestry and Fisheries Research Council Project, Development of Climate Change Mitigation Technologies in the field of Forests and Forestry, 2010–2014, JSPS KAKENHI Grant Number 26870181, MEXT KAKENHI Grant Number 15H02863, and the Policy Study Fund for Environmental Economics (the third period) of the Ministry of the Environment.
The authors declare that they have no competing interests.
- 1.Intergovernmental Panel on Climate Change (IPCC). Climate Change 2013, Fifth Assessment Report, The Physical Science Basis. 2013.Google Scholar
- 2.Intergovernmental Panel on Climate Change (IPCC). Climate Change 2014, Fifth Assessment Report, Mitigation of Climate Change. 2014.Google Scholar
- 6.United Nations Framework Convention on Climate Change (UNFCCC). Report of the Conference of the Parties serving as the meeting of the Parties to the Kyoto Protocol on its seventh session, held in Durban from 28 November to 11 December 2011, Part Two: Action taken by the Conference of the Parties serving as the meeting of the Parties to the Kyoto. Protocol at its seventh session, Decisions adopted by the Conference of the Parties serving as the meeting of the Parties to the Kyoto Protocol. 2012.Google Scholar
- 7.Intergovernmental Panel on Climate Change (IPCC). 2013 Revised Supplementary Methods and Good Practice Guidance Arising from the Kyoto Protocol. 2014.Google Scholar
- 8.Pingoud K, Perälä AL, Soimakallio S, Pussinen A. Greenhouse gas impacts of harvested wood products, Evaluation and Development of methods, VTT Research Notes 2189. Espoo: VTT Technical Research Centre of Finland; 2003.Google Scholar
- 14.Raši R, Cienciala E, Priwitzer T, Palán S, Pavlenda P. Carbon balance in harvested wood products in Slovakia. Lesn Cas For J. 2015;61:101–6.Google Scholar
- 15.Winjum JK, Brown S, Schlamadinger B. Forest harvests and wood products: sources and sinks of atmospheric carbon dioxide. For Sci. 1998;44:272–84.Google Scholar
- 28.Hashimoto S, Moriguchi Y. Databook: Material and carbon flow of harvested wood in Japan, National Institute for Environmental Studies. 2004.Google Scholar
- 30.Forestry and Forest Products Research Institute, Japan. Utilizing Forests under Climate Change: Ministry of Agriculture, Forestry, and Fisheries FY 2014 Commissioned Research Project. 2015.Google Scholar
- 31.Ministry of Agriculture, Forestry and Fisheries. Report on wood supply and demand 2013. 2014.Google Scholar
- 33.Ministry of the Environment. Environmental Statistics 2013. 2014.Google Scholar
- 34.Forestry Agency. Annual Report on Trends in Forests and Forestry, Fiscal Year 2014. 2015.Google Scholar
- 40.Tsunetsugu Y, Tonosaki M. Outlook study on the forest, forestry and forest industry: Data, theory and simulation. Forestry and Forest Products Research Institute, editor. Tokyo: Japan Forestry Investigation Committee; 2012. p 255–267.Google Scholar
- 41.Ministry of Land, Infrastructure, Transport and Tourism. Construction statistics 1990–2013. 1991–2014.Google Scholar
- 42.Tonosaki M. 2009 report on inter-disciplinary study on the increased use of wood in civil engineering; 2010. p 66.Google Scholar
- 43.Noda R, Kayo C, Yamanouchi M, Shibata N. Life cycle greenhouse gas emission of wooden guardrails—a study in Nagano Prefecture. J Wood Sci. 2015. (in press).Google Scholar
- 45.National Institute of Population and Social Security Research. Population projections by region. 2014.Google Scholar
- 46.Ministry of Economy, Trade and Industry. Textiles and consumer goods statistics 1990–2013. 1991–2014.Google Scholar
- 47.Ministry of Finance. Trade statistics 1990–2013. 1991–2014.Google Scholar
- 48.Yano Research Institute Ltd. Inquiry into the provision of environmental information to the wood industry (wooden furniture and wooden sash edition): Inquiry report. 2003.Google Scholar
- 49.Ministry of Economy, Trade and Industry. Yearbook of paper, printing, plastic products and rubber products statistics 1990–2013. 1991–2014.Google Scholar
- 50.Government of Japan. Report on supplementary information on the LULUCF activities under Article 3, Paragraphs 3 and 4 of the Kyoto Protocol. 2009.Google Scholar
- 51.Forestry Agency. The current status of forestry and use of woody biomass. 2008. http://www.rinya.maff.go.jp/j/press/kaihatu/pdf/080522_1-05.pdf. Accessed 25 May 2015.
- 52.Ministry of the Environment. The current situation as regards reduction of wood generated by construction. 2013.Google Scholar
- 53.Ministry of Agriculture, Forestry and Fisheries. Reports on wood supply and demand 1990–2013. 1991–2014.Google Scholar
- 54.Ministry of Land, Infrastructure, Transport and Tourism. National net flow of cargo (logistics census) 1990–2011. 1991–2012. http://www.env.go.jp/council/former2013/03haiki/y0317-05/ref01-3.pdf. Accessed 10 May 2015.
- 55.Japan Environmental Management Association for Industry. MiLCA. 2014.Google Scholar
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