19-20 May 2014 at EEA, Kongens Nytorv 6, 1050 Copenhagen K, Denmark
The workshop was organized by the Joint Research Centre of the European Commission (JRC), the European Environment Agency (EEA), the International Energy Agency (IEA) Bioenergy Tasks 38, 40 and 43 and the International Institute for Sustainability Analysis and Strategy (IINAS), and hosted at the EEA.
This statement is an outcome of the workshop on “Forests, bioenergy and climate change mitigation”, held May 19-20, 2014 in Copenhagen , which had the following objectives:
Concerns regarding global climate change led to the adoption of the long-term target to limit global warming to 2°C. Current scientific understanding indicates that peak warming is insensitive to CO2 emission trajectories  ; that is, timing of emissions is not critical in relation to the 2°C target. On the other hand, policymakers may judge that additional climate targets are needed to facilitate climate change mitigation, such as short-term national emission reduction targets. Such targets constrain the possible emission trajectory profile and shift focus toward gases with shorter atmospheric lifetimes; thus timing of GHG emissions is relevant for such policy targets.
As noted in the IPCC AR5 report “..scenarios reaching atmospheric concentration levels of about 450 ppm CO2eq by 2100 (consistent with a likely chance to keep temperature change below 2 °C relative to pre-industrial levels) include substantial cuts in anthropogenic GHG emissions by mid-century through large-scale changes in energy systems … [and that] bioenergy can play a critical role for mitigation, but there are issues to consider, such as the sustainability of practices and the efficiency of bioenergy systems”. It is further noted that: “the scientific debate about the overall climate impact related to land-use competition effects of specific bioenergy pathways remains unresolved . Fossil fuel use transfers carbon from the slow domain of the carbon cycle, where turnover times exceed 10,000 years, to the fast domain (the atmosphere, ocean, vegetation and soil); bioenergy systems operate within the fast domain, where vegetation and soil carbon have turnover times of 1-100 and 10-500 years, respectively  . A reduction of deforestation and more efficient use of forest biomass for wood-based products and energy, maximising GHG mitigation per unit biomass, are needed in parallel.
Policies frame markets for bioenergy and the broader bioeconomy, and forest management will react to that, as well as forest product markets. Forest management often has a long-term focus, which presents a challenge for development of policies intending to support near-term climate targets.
Forest management influences the dynamics of forest carbon stocks. In many countries, forest carbon stocks have increased over recent decades, but deforestation has reduced carbon stocks in other regions (sub-Saharan Africa, Latin America, South-East Asia). Currently, the vast majority of forest managers receive no revenue from maintaining or increasing forest C stocks.Forest governance differs between countries and regions, which is relevant when considering the implications of the increasing trade in bioenergy.
The estimation of carbon fluxes from forest bioenergy in national inventories under the United Nations Framework Convention on Climate Change (UNFCCC) follows IPCC guidelines for national GHG reporting. This means that annual forest carbon releases or sinks are allocated to the land use, land use change and forestry (LULUCF) sector, and CO2 emissions from biomass use are excluded  in the energy sector to avoid double counting. This is different from GHG accounting in life cycle assessment (LCA), which has a cross-sectoral and cross-border view and sums GHG emissions over the life cycle of a specific product or service to which the impact of those emissions is attributed.
Both approaches ask different questions, and different actors apply them with different scopes. When IPCC “tier 1” data  are used in LCA studies to obtain estimates of biomass and soil carbon fluxes, caution and transparency are needed as these data were intended for national level reporting and may not be appropriate at finer scales.
Various metrics have been proposed for quantifying climate change effects. Depending on the purpose of the assessment, different metrics may be preferred. Global Warming Potential (GWP)  is the most commonly used metric but, the Global Temperature Change Potential (GTP) may be a more appropriate metric in some circumstances. Application of more than one metric is informative for policy development.
Information and knowledge from many scientific disciplines, applying a range of different methodologies, are needed to guide development of policy for forest bioenergy. For policy assessment, a landscape  perspective, rather than the forest stand level, would in general be the appropriate scope. In any case, the geographical scale, and time scale, should reflect the aim of the assessment or the scope of the (policy) instrument to be evaluated.
The workshop participants agreed that a combination of biophysical, climate and socio-economic models is required to understand the climate effects of bioenergy, including effects on parallel industries (wood products, agriculture and energy), and to inform policy development. The earth climate system is altered not only by CO2, but also by changes in the atmospheric concentration of other gases and aerosols (directly emitted or precursors), in solar radiation and in land surface albedo. Therefore, the effects of all climate forcers influenced by forest cover and forest management should ideally be included. In addition, impacts on biodiversity and ecosystem services need to be considered in policy development.
While attributional LCA (ALCA) may be applicable for some purposes (such as identifying hotspots in the supply chain or implementing a policy decision, as it reflects those aspects under control of the project manager or economic operator), it is not appropriate for evaluating the consequences of the introduction of a new policy, because it does not consider effects on other sectors of the economy. Therefore, consequential approaches, such as consequential LCA (CLCA) are required in developing policy, to conduct due diligence of new policy alternatives. One significant drawback of CLCA is the inevitable uncertainty associated with modelling complex systems, so analysts, stakeholders and policy makers need to exercise appropriate caution and be transparent about the uncertainty associated with CLCA estimates, and pragmatic in choosing among policy alternatives that have high degrees of uncertainty.
Consequential comparative assessments addressing forest bioenergy policies need to compare the biomass and soil carbon pools, product pools, etc. in the bioenergy policy scenarios with counterfactual scenarios. Because the future is uncertain, for both the reference “business as usual” (BAU) situation and the “with bioenergy” case, it is preferable to model several scenarios to inform policy-making. BAU scenarios should reflect commonly accepted practice in forest management and land use, anticipated trends in both, and include different developments in forest product markets (sawnwood and pulpwood markets, new biobased materials) and also energy markets.
Decisions by government and the private sector should be informed by scientific understanding of climate change impacts of forest bioenergy. Such input should be based on comprehensive analysis of complex systems in the context of alternative policy options and energy technology pathways.
Decision-makers are looking for near-term policy solutions while more sound scientific assessments are being developed. Given the complex nature of the issue, some have questioned whether decision makers should use categories of bioenergy feedstock production systems based on simplified system descriptions (e.g. sustainable forest management plus maintaining forest carbon stock) to identify acceptable bioenergy systems to support and implement.
Such approaches (including “go/no-go” lists) must be seen as very crude first-order estimates and are subject to significant uncertainty, and so caution should be used if such proxies are applied. It was agreed that risk-based approaches are preferable. For example:
The scientific base to inform decision-makers should be expanded beyond LCA, considering the role of integrated models, global monitoring systems and publicly available databases.
The following specific research needs were identified:
As bioenergy policy is currently being developed, for example in Belgium, Denmark, the Netherlands, the UK and the USA at national and state levels, the international community (including scientists and policy-makers from government and industry) should prioritise allocation of resources to conduct the necessary research and risk-analyses that would lead to deployment of sustainable bioenergy systems.
Developed by the workshop participants
Copenhagen, May 20, 2014
Edited for clarity by the Organizing Committee, August 2014
Contributors to this statement
 The workshop was organized by the Joint Research Centre of the European Commission (JRC), the European Environment Agency (EEA), the International Energy Agency (IEA) Bioenergy Tasks 38, 40 and 43 and the International Institute for Sustainability Analysis and Strategy (IINAS), and hosted at the EEA. The views expressed in this statement do not necessarily represent the views of the institutions that supported this workshop.
 A report summarising the discussions in parallel sessions and plenary sessions, and the short presentations given during the workshop, will be available online at
Bioenergy Workshop Statement
 E.g. IPCC, 2013: Summary for Policymakers. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. (page 27)
 IPCC, 2014: Summary for Policymakers, In: Climate Change 2014, Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Edenhofer, O., R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P. Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel and J.C. Minx (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
 Ciais, P., C. Sabine, G. Bala, L. Bopp, V. Brovkin, J. Canadell, A. Chhabra, R. DeFries, J. Galloway, M. Heimann, C. Jones, C. Le Quéré, R.B. Myneni, S. Piao and P. Thornton, 2013: Carbon and Other Biogeochemical Cycles. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
 For example, the 2006 IPCC Guidelines for National Greenhouse Gas Inventories http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html
 GWP expresses the cumulative radiative forcing of a unit emission of GHG to that of CO2 over a specified period, commonly 100 years. In contrast, GTP quantifies the effect of a unit emission of GHG on the global mean surface temperature at a specified point in the future, relative to that of CO2.
 ‘Landscape’ is used to refer to relatively large spatially heterogeneous geographic areas composed of diverse interacting ecosystems that range from natural terrestrial and aquatic systems such as forests, grasslands, and lakes to human-dominated environments including intensively managed agricultural and forest lands and urban areas. A managed forest estate is a mosaic of stands of different ages shaped by biophysical factors such as soil and climate conditions, historic and present management and harvesting regimes, and events such as storms, fires, and insect outbreaks. The carbon stock in individual stands of a managed forest varies spatially and temporally as a result of these factors.
The workshop agenda was structured around 5 Sessions. Each session commenced with short introductory presentations, followed by parallel discussions in small groups, focused on prepared discussion questions, concluding with a plenary discussion. The workshop discussions are summarised here.
Introduction to workshop
Welcome, policy context: Jan-Erik Petersen
Purpose of the meeting and outcomes of previous meetings: Uwe Fritsche
Understanding the climate effects of forest-based bioenergy: some terminology and background: Annette Cowie
Summary of survey outcomes: Luisa Marelli;
Session 1: How to assess climate impacts of forest-based bioenergy?
Attributional Modelling vs Consequential Modelling: Alessandro Agostini
Bioenergy and climate metrics: Anders Strømman
Session 2: Interaction between bioenergy and other wood products markets, including consequences for forest carbon stocks and flows
Introductory presentation: Bob Abt
Session 3: Role of bioenergy in near-term climate targets
Session 4: Contribution of bioenergy to long-term climate outcomes
Session 5: Other environmental sustainability considerations, and open issues from the survey or earlier discussion
Other environmental considerations: David Paré
Sustainability issues related to forest bioenergy: Helmut Haberl