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Wood products may help to avoid fossil emissions when they substitute for more fossil-intensive products. However, the estimates of avoided fossil emissions attributed to wood use tend to be based on incomplete market assumptions. Wood products are assumed to fully substitute for non-wood products, yet substitution rarely occurs 1:1 and wood products can also substitute for each other. This study outlines a systematic procedure grounded on economic theory for approximating the existence and rate of substitution between wood and non-wood products, and calculates the marginal avoided fossil emissions with both conventional assumptions and more realistic assumptions based on an expert survey, taking the case of textile markets. The results suggest that regenerated cellulosic fibers (RCFs) are not perfect substitutes for synthetic fibers, meaning that part of an additional RCF supply will replace established textile fibers while part of it merely adds to the overall textile supply, and thereby aggregate fossil emissions. Moreover, in the long term, RCFs are more likely to substitute for synthetics than for cotton, and in the short term, non-viscose RCFs are more likely to substitute for contemporary viscose than for polyester or cotton. In the specified case, the alteration of market assumptions leads to quadrupling the marginal substitution impacts of wood use. Besides the relatively high fossil intensity of contemporary viscose, this is partly explained by increased absolute aggregate fossil emissions. Producing a more realistic account of substitution processes in the forest products markets is central in directing investments that ensure a net reduction in fossil emissions.

Drained peatlands are a large emission source and a shift to paludiculture (rewetting and cultivation of wet-tolerant plants) is emerging as a potential emission reduction measure. Paludiculture can potentially results in emission savings from direct emissions, product substitution and carbon storage, but the whole life cycle climate impacts are rarely studied. In this study, we evaluated two paludiculture product systems (cattail (Typha) construction board and common reed (Phragmites) horticultural vermicompost) with cradle-to-grave life cycle assessment (LCA) applied global sensitivity analysis to identify, which parts of the product system would need more research and product development to ensure net emission savings. Based on the results, both product systems result in much lower emissions than current agricultural land use and may be net greenhouse gas sinks (average − 6.0 tCO2eq ha−1 for cattail board; −3.0 tCO2eq ha−1 for reed growing media). The uncertainty in the product life cycle is concentrated to a few key processes: the direct CO2 and CH4 emissions from paludiculture, construction board additives, and CH4 emissions from vermicomposting reed. Further research to these would minimize the uncertainty and help in maximizing the climate mitigation potential of paludiculture derived products. Highlights • Paludiculture reduces emissions from agricultural peatlands. • Paludiculture products can store carbon and substitute emission intensive products. • Benefits can be increased by identifying high emission process stages in production. • Life cycle assessment can help in guiding process development.

Small and medium-sized enterprises (SMEs) have a substantial role in the economy and job creation, but they are a remarkable source of environmental impacts. SMEs often lack skills and resources to...

BackgroundThe climate impacts of wood-based products can be measured by substitution impacts and changes in product carbon stocks. Cascade use of wood aims to increase resource efficiency and minimize the impact on the environment and climate, but it may lead to changes in the product portfolios of industries. Thus, measuring the overall impact is challenging. This study analyses the impact of wood cascading on the climate under varying market responses. Cascade use here refers to discarded sawnwood product utilisation in panel and wood-based composite production. The study utilises explorative scenarios where Finnish wood-based flows are modelled in an Excel-based material flow model, and discarded sawnwood flows are shifted from energy use to material use in the end-of-life stage. The Reference case represents the situation where discarded wood-based products are only used for energy. The scenarios portray plausible market responses to cascading, with cascade production either leading to additional wood-based panel and composite production, or substituting primary sawnwood products thus leading to lower overall harvest levels. ResultsThe results show that the cascading can result in 1.6%-5.4% more avoided C emissions compared to reference when considering the substitution impacts, the carbon stock changes in wood products, and the avoided carbon loss from roundwood harvest. Besides the market response, the results vary depending on the time-period selected for the estimation of the average annual carbon stock change of wood products and the emission profile of non-wood products. ConclusionsThe results of this study indicate that cascading can contribute to climate change mitigation regardless of the market response, but it depends on the market response whether the reduction potential origins from wood-based products or indirect changes in the harvest levels. There are less avoided C emission gains in the technosystem, if cascading production substitutes primary production and therefore reduces the wood harvest. However, the opposite holds, if the average substitution impacts are significantly reduced in the future due to decarbonization of non-wood sectors. Thus, in the long-term, extending the carbon residence in the technosystem or in the ecosystem may provide a larger climate change mitigation potential than increasing the substitution impacts. Keywords: carbon stock change, cascading, forest industries, greenhouse gas emissions, harvested wood products, substitution, substitution impact

Background Replacing non-renewable materials and energy with wood offers a potential strategy to mitigate climate change if the net emissions of ecosystem and technosystem are reduced in a considered time period. Displacement factors (DFs) describe an emission reduction for a wood-based product or fuel which is used in place of a non-wood alternative. The aims of this review were to map and assess DFs from scientific literature and to provide findings on how to harmonise practices behind them and to support coherent application. Results Most of the reviewed DFs were positive, implying decreasing fossil GHG emissions in the technosystem. The vast majority of the reviewed DFs describe avoided fossil emissions either both in processing and use of wood or only in the latter when wood processing emissions were considered separately. Some of the reviewed DFs included emissions avoided in post-use of harvested wood products (HWPs). Changes in forest and product carbon stocks were not included in DFs except in a few single cases. However, in most of the reviewed studies they were considered separately in a consistent way along with DFs. DFs for wood energy, construction and material substitution were widely available, whereas DFs for packaging products, chemicals and textiles were scarce. More than half of DFs were calculated by the authors of the reviewed articles while the rest of them were adopted from other articles. Conclusions Most of the reviewed DFs describe the avoided fossil GHG emissions. These DFs may provide insights on the wood-based products with a potential to replace emissions intensive alternatives but they do not reveal the actual climate change mitigation effects of wood use. The way DFs should be applied and interpreted depends on what has been included in them. If the aim of DFs is to describe the overall climate effects of wood use, DFs should include all the relevant GHG flows, including changes in forest and HWP carbon stock and post-use of HWPs, however, based on this literature review this is not a common practice. DFs including only fossil emissions should be applied together with a coherent assessment of changes in forest and HWP carbon stocks, as was the case in most of the reviewed studies. To increase robustness and transparency and to decrease misuse, we recommend that system boundaries and other assumptions behind DFs should be clearly documented.

Highlights • Wood-based substitution benefits are likely to decrease over time • Carbon residence has more importance in the future as an indicator • Energy use of wood should be reduced to increase climate benefits • Global agreement is needed to fund clean technologies and reduce fossil ones To obtain net climate benefits from intensified forest utilization in the short-term, the substitution impact of wood harvesting and increased carbon stocks of wood-based products should be higher than the forest carbon stock loss. However, the product specific substitution impacts change dynamically over time along with technological development, and long-term climate change mitigation strategies need to consider this, as well as the market forces. We identified future pathways enabling globally market viable environments for wood utilization scenarios in Finland resulting in net climate benefits in 2050. We I) indicated substitution impacts in 2050 applying future-oriented parameter modification based on LCA, and developed quantitative target scenarios by altering wood-based product portfolios to achieve required substitution, and II) identified pathways enabling scenarios by applying participatory backcasting. In the scenarios, a major shift from primary energy use to high added-value products including textiles, chemicals, composites and advanced biofuels, or long-lifetime construction products was needed and more lifecycles for wood products by recycling were required. The actions enabling market viable environment focused on the global level policies and consumer perceptions, while actions locally were limited and current production technology development oriented. We recommend multi-target backcasting together with LCA to analyse more synergies and trade-offs.

Forests and forest industries can contribute to climate change mitigation by sequestering carbon from the atmosphere, by storing it in biomass, and by fabricating products that substitute more greenhouse gas emission intensive materials and energy. The objectives of the study are to specify alternative scenarios for the diversification of wood product markets and to determine how an increasingly diversified market structure could impact the net carbon emissions (NCEs) of forestry in Finland. The NCEs of the Finnish forest sector were modelled for the period 2016-2056 by using a forest management simulation and optimization model for the standing forests and soil and separate models for product carbon storage and substitution impacts. The annual harvest was fixed at approximately 70 Mm(3), which was close to the level of roundwood removals for industry and energy in 2016. The results show that the substitution benefits for a reference scenario with the 2016 market structure account for 9.6 Mt C (35.2 Mt CO2 equivalent [CO2 eq]) in 2056, which could be further increased by 7.1 Mt C (26 Mt CO2 eq) by altering the market structure. As a key outcome, increasing the use of by-products for textiles and wood-plastic composites in place of kraft pulp and biofuel implies greater overall substitution credits compared to increasing the level of log harvest for construction. peerReviewed

The EU is aiming to increase the utilisation of renewable energy to 20% of the total energy consumption by 2020. For Finland, the target is 38%. Renewable energy sources are assumed to reduce greenhouse gas emissions when compared to fossil fuels. Yet not all environmental impacts of renewable energy use are thoroughly assessed, and there are no comprehensive assessments on the impacts and risks of renewable energy production that would take into account all possible environmental impacts. We applied qualitative expert knowledge to attain information on the impacts and risks of renewable energy in Finland. According to the expert panel, the overall impacts of renewable energy by 2020 are not significant. However, we found some hot spot areas, i.e. areas of the most concern related to particulate matter formation during regional wood combustion, climate impacts of forest energy, biodiversity impacts connected to several renewable energy sources, and eutrophication caused by utilisation of agricultural energy sources. There are currently no reliable and generally accepted methods to estimate the biodiversity impacts of renewable energy production, thus, this topic would require further studies. The climate change impacts of forest based energy sources are relatively well studied, but the results of these studies are highly variable because of different assumptions on spatial and time scale. A qualitative impact assessment framework, as described in this paper, can be used to assess the environmental impacts of renewable energy production and is a potential option to attain information on the renewable energy impacts as long as reliable and comparable quantitative datasets are not available. These kinds of qualitative assessments can also be applied to detect the areas that need further studies.

Highlights • Displacement factor (DF) describes the substitution climate impact of wood use. • We estimated required displacement factor (RDF) to achieve zero emissions. • RDF should be 2.0–2.4 tC tC−1 for increased wood use in 2017–2116 in Finland. • RDF appears greater than the estimated current average DF. • This is a threat for forest-based bioeconomy from the climate change viewpoint. A displacement factor (DF) may be used to describe the efficiency of using wood-based products or fuels instead of fossil-based ones to reduce net greenhouse gas (GHG) emissions. However, the DFs of individual products and their production volumes could not be used alone to evaluate the climate impacts of forest utilization. For this reason, in this study we have developed a methodology to assess a required displacement factor (RDF) for all wood products and bioenergy manufactured and harvested in a certain country in order to achieve zero CO2 equivalent emissions from increased forest utilization over time in comparison with a selected baseline harvesting scenario. Input data for calculations were produced with the simulation model, Monsu, capable of predicting the carbon stocks of forests and wood-based products. We tested the calculations in Finnish conditions in a 100-year time horizon and estimated the current average DF of manufactured wood-based products and fuels in Finland for the interpretation of RDF results. The results showed that if domestic wood harvesting will be increased by 17–33% compared to the basic scenario, the RDF will be 2.0 to 2.4 tC tC−1 for increased wood use in 2017–2116. However, the estimated average DF of manufactured wood-based products and fuels currently in Finland was less than 1.1 tC tC−1. The results indicate strongly that the increased harvesting intensity from the current situation would represent a challenge for the Finnish forest-based bioeconomy from the viewpoint of climate change mitigation. For this reason, there is an immediate need to improve reliability and applicability of the RDF approach by repeating corresponding calculations in different circumstances and by improving estimations of DFs on country levels.

A sustainable society index (SSI) has been designed to measure the sustainability of different countries in terms of economic, environmental and human well‐being dimensions. These areas were subdivided into eight categories and 24 indicators. The paper shows that the SSI could be considered as a decision‐making problem with multiple objectives. We propose a decision‐analysis approach for estimation of the weights of indicators, categories and dimensions of well‐being, with the target being a construction of overall scores for countries. A questionnaire was sent to experts from several countries, and the weights were estimated from their individual answers. The SSI 2010 results for different countries were recalculated through utilization of the estimated weights. There were some differences in the rankings compared with the earlier results with equal weights. Potential biases of the SSI approach used are critically evaluated, and opportunities to develop the SSI described. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment

Companies have a central role in the transition towards more sustainable economic systems, as they are one of the major sources of environmental impacts, economic activity and social development. Various tools are available to support sustainability assessments, but there is little information on how suitable they are for company-level assessments and how companies use them in real-life applications. The article examines some of the commonly used tools and the utilisation of these tools in Finnish companies. A sample of seven tools was compiled: multi-criteria decision analysis (MCDA), material flow analysis, life cycle assessment (LCA), input–output models, sustainability indicators and indices, cost–benefit analysis (CBA) and optimisation methods. MCDA, LCA, CBA and optimisation methods were found to be successful with respect to many of the criteria used in the evaluation, but none of them was comprehensive. The assessment indicates that MCDA has the greatest potential to be successfully applie...

Impacts of bioeconomy on climate have been much discussed, but less attention has been given to biodiversity deterioration. One approach to assess biodiversity impacts is Life Cycle Assessment (LCA). Finland is a forested country with intensive forest industries, but only coarse biodiversity LCA methods are available. The aim of this study was to further develop and apply approaches to assess the biodiversity impacts of wood use in Finland. With the species richness approach (all taxons included), biodiversity impacts were higher in Southern than in Northern Finland but impacts in Southern and Northern Finland were lower when mammals, birds and molluscs were included. With the ecosystem indicators approach, if the reference situation were forest in its natural state, biodiversity impacts were higher than in the case where the initial state of forest before final felling was used to derive biodiversity loss. In both cases, the biodiversity impacts were higher in Northern Finland. These results were not coherent as the model applying species richness data assesses biodiversity loss based on all species, whereas the ecosystem indicators approach considers vulnerable species. One limitation of the species richness approach was that there were no reliable datasets available. In the ecosystem indicators approach, it was noticed that the biodiversity of managed Finnish forests is substantially lower than in natural forests. Biodiversity LCA approaches are highly sensitive to reference states, applied model and data. It is essential to develop approaches capable of comparing biodiversity impacts of forest management practices, or when looking at multiple environmental impacts simultaneously with the LCA framework.