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Article

Future Wood Availability in Europe in Light of Climate and Energy Policy and Geopolitical Developments—A Wood Resource Balance-Based Assessment

1
Department of Energy and Technology, Swedish University of Agricultural Sciences, P.O. Box 7032, 750 07 Uppsala, Sweden
2
Chair of Forest and Environmental Policy, University of Freiburg, Tennenbacher Str. 4, 79098 Freiburg, Germany
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(3), 1291; https://doi.org/10.3390/su17031291
Submission received: 20 December 2024 / Revised: 15 January 2025 / Accepted: 26 January 2025 / Published: 5 February 2025
(This article belongs to the Section Resources and Sustainable Utilization)

Abstract

:
The amended European Union (EU) Renewable Energy Directive—in aiming to increase the share of renewable energy in overall energy consumption—promotes an increased demand for wood, while the EU’s updated Land Use, Land-Use Change, and Forestry (LULUCF) Regulation sets ambitious, binding national targets for the increase in net greenhouse gas removals that could restrict the supply of wood. Additionally, the ongoing war in Ukraine has directly affected the availability of woody biomass in Europe through the EU’s import ban on timber and timber products from Russia and Belarus. This paper provides an in-depth comparative analysis of sources and uses of woody biomass in four European regions in light of these recent climate and energy policies and geopolitical developments. The analysis indicates significantly underestimated reported removals in three of the four European regions studied. Further, projections suggest policy incoherence between current climate and energy objectives until 2030 in all four regions, as fellings increase at a faster rate than net annual increment in all four regions, decreasing the forest carbon sink and thus making it all but impossible to reach the 2030 target of the LULUCF regulation. However, between 2030 and 2040, energy-related fellings could decrease in regions north and west, while they could continue to grow in regions east and south, albeit at a lower rate.

1. Background

Ambitious climate change mitigation policies are on the one hand increasing the European Union (EU) demand for woody biomass while on the other potentially restricting the supply thereof. In particular, the amended EU’s Renewable Energy Directive (“RED III”) aims to increase the share of renewable energy in the EU’s overall energy consumption to 42.5% by 2030 [1]. This is bound to further increase the use of wood for energy, as bioenergy currently contributes about 60% of renewable energy in the EU [2], and around 60% of the biomass used for energy is wood-based [3]. At the same time, the sustainability criteria concerning forest biomass harvesting are strengthened in RED III [1], potentially restricting the supply of woody biomass.
Further, the EU’s updated Land Use, Land-Use Change, and Forestry (LULUCF) Regulation sets ambitious, binding national targets for the increase in net greenhouse gas (GHG) removals for the period 2026–2030, which together should deliver the collective EU target of 310 Mt CO2 equivalent of net removals in the LULUCF sector in 2030 [4]. For member states using their forests intensively, these carbon sink targets are likely to hinder an increase in fellings; rather, they will require lower levels of felling. As an example, for Sweden, with the highest requirements, the target for 2030 of the removal of 47.3 Mt CO2 equivalent entails a nine percent increase compared to the average for the years 2016, 2017, and 2018 [4]. Actually, at the overall-EU level, continuing past forest management practices is foreseen to further decrease the forest carbon sink [5].
Additionally, the ongoing geopolitical crisis related to the Ukraine war has changed the conditions as regards both the availability of and the demand for woody biomass in the EU. The Council of the EU banned the import of most of the timber and timber products from Russia and Belarus covered by the EU Timber Regulation from entering the EU in 2022 [6]; this, combined with, for obvious reasons, reduced exports from Ukraine, directly negatively affects the supply of woody biomass on the EU market. Before the war, Russia alone accounted for over 52% of extra-EU roundwood imports in 2019 [7]. Further, elevated electricity prices within the EU—stemming from a rebound in economic activity after the COVID-19 pandemic as well as an increasing reliance on intermittent, weather-dependent energy sources [8]—have been reinforced by sanctions on Russian hydrocarbons and the sabotage of the Nordstream natural gas pipelines. This situation is leading to a serious loss of competitiveness in energy-intensive industries relative to corresponding industries in regions with lower energy prices [9], and it has already resulted in increased competition from energy uses for wood-based raw materials [10].
Future impacts of the geopolitical crisis related to the war in Ukraine on international wood-product markets have been modelled, and models have also considered the EU’s LULUCF Regulation; these indicate higher global prices for roundwood and semi-finished wood products [11]. The role of European forests in the EU climate policy context has been assessed in a quantitative sense, pointing to a development of the EU forest sink that is incompatible with the LULUCF target [5]. Still other studies have undertaken a broader discussion of the degree to which different policy initiatives incentivize or disincentivize wood use, e.g., [12,13]. Still, an important knowledge gap exists as regards the question of what current and future policy (in-)coherences between the EU bioenergy and climate mitigation policy objectives related to the forest sector can be identified and why they occur.
By addressing this question, this paper adds to the scientific discussion by conducting an in-depth quantitative study of sources and uses—for material as well as energy purposes—of woody biomass in four European regions. Building on this, this paper provides a scenario analysis of the future wood availability in light of climate and energy policy and geopolitical developments. Notably, this paper provides an assessment of the coherence of the RED III and the LULUCF regulations based on fellings derived from reported and projected uses of wood for material and energy. To account for the substantial diversity of European regions in terms of population density, forest endowment, wood use [14], and forest policy priorities [15], results are presented and discussed for four European subregions of countries.

2. Scope

2.1. Definition of Forest-Based Sector and Forest-Based Industries

The forest-based sector is here defined as including wood resources as well as the use of these resources, that is, material uses, i.e., forest products, and energy uses—for heat and power—of wood. Wood-based products (intermittently termed wood products) include all of the primary products manufactured in the forest processing sector—sawnwood, wood-based panels, paper, and paperboard—and the main inputs or partly processed products used in the sector—roundwood, wood pulp, wood residues, post-consumer recovered wood, and recovered paper. Value-added wood-based products (e.g., wooden doors, window frames, and furniture) are only covered indirectly insofar as trends and future developments in these markets are considered in assessing impacts on forest-based industries.

2.2. Geographical Scope

This study encompasses all EU-27 member states (MSs), Norway as a European Economic Area (EEA) country, Switzerland as a European Free Trade Area (EFTA) country, and the United Kingdom (UK) as a former MS (before Brexit) and with trade and (energy) cooperation agreements with the EU (after Brexit). These countries are allocated to four European regions: Region North comprises Estonia, Finland, Latvia, Lithuania, Norway, and Sweden; Region West covers Austria, Belgium, Denmark, France, Germany, Ireland, Luxembourg, Netherlands, Switzerland, and the UK; Region East consists of the countries Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Slovakia, and Slovenia; and, finally Region South comprises Cyprus, Greece, Italy, Malta, Portugal, and Spain.

2.3. The Policy and Legal Context

The RED and LULUCF Regulations are among the key EU policies and laws that can influence forest management and by that either decrease or increase timber availability in European countries (Table 1). Importantly, the LULUCF Regulation works with command-and-control regulatory tools (e.g., accounting, reporting, and monitoring) but offers no direct financial incentives (e.g., subsidies, carbon credits). Among others, it supports GHG emission removals by forestry, mainly through carbon sequestration in standing forests and to some extent by carbon pools in harvested wood products (HWPs), while preventing emissions. Timber harvesting intensity that exceeds national forest reference levels as a projection of net GHG emissions from managed forests in the reference period 2000–2009 counts as a net loss of emissions until 2030. Led by the major EU climate policies (e.g., European Green Deal, Climate Law, Fit for 55 Package), the national implementation of the LULUCF Regulation is likely to translate into restrictions on forest areas available for wood supply given the ambitious national targets for the increase in GHG removals [15].
Unlike the LULUCF and like the ELER Regulation, the Renewable Energy Directive mainly works with direct financial incentives (e.g., subsidies) to achieve legally binding targets to increase, among others, the share of bioenergy based on wood biomass in the final energy consumption in the EU [15]. While forest sustainable biomass criteria are defined to prevent negative impacts of (increased) wood harvesting for bioenergy (e.g., avoiding degradation of soil quality, biodiversity, conversion of primary forests into plantation forest, harvesting stumps and roots), RED still allows for increased timber use through intensive forestry practices such as active forest regeneration (e.g., clear felling, reforestation, fast growing species) and (maximum) timber use within the net annual increment (sustained yield) [16].
Like the LULUCF, several other EU environmental policies, including the EU Habitats and Birds Directives, the EU Nature Restoration Regulation, and the EU Deforestation Regulation, also work with command-and-control tools and offer no financial compensations. These policies are likely to decrease timber use due to their nature protection and biodiversity conservation policy objectives. These support ecosystem management of forests in protected areas (e.g., Natura 2000), close-to-nature forest management with deadwood and uneven-aged structures, the avoidance of clearcutting and other rotational harvests, as well as the avoidance of conversion of primary forests into planted or plantation forests, and the promotion of biodiversity-friendly afforestation and reforestation [15].
At the national level, forest management remains shaped by a diverse set of priorities in forest and forest-related policies and legal frameworks. Distinct regional differences include policy priorities for bioenergy, carbon forestry, and sustained yield forestry (Northern and Eastern Europe), multipurpose forestry (Central Europe), and carbon forest management and forest biodiversity conservation (Western and Southern Europe). Important trade-offs between the prioritization of wood production and the prioritization of forest conservation arise from the different EU and national policies and between and within the different policy priorities of the European countries (Table 1). These vertical and horizontal policy trade-offs are likely to lead to legal uncertainty and conflicting policy framework conditions for the supply of wood in the future [15].

3. Material and Methods

The methodological approach used for collating and analyzing uses and sources of woody biomass is the one used by the European Commission Joint Research Centre (JRC) in deriving wood resource balance (WRB) sheets [17]. The Wood resource balance (WRB) method, pioneered by Mantau (see, e.g., [18]), is useful in providing an overview of sources and uses of woody biomass. In particular, the approach permits—by comparing reported sources of woody biomass with derived uses thereof—the detection of data irregularities. The sources of woody biomass are recorded on the left side of the main balance table. They are classified as primary sources (from forests and other wooded land), secondary sources (industrial by-products and residues, wood pellets, wood briquettes), and post-consumer wood. Both domestic production and net trade of these items are considered; however, for black liquor and post-consumer wood, only domestic production is considered. The right side of the main balance table shows the sectors where woody biomass is used: manufacturing of wood-based commodities and energy generation. All values are reported in a common measurement unit, cubic meters of solid wood equivalent, m3SWE (the roundwood equivalent volume (green volume prior to any shrinkage) needed to produce the product in question).
The amounts of different types of woody biomass, primary sources (industrial roundwood and bark), and secondary sources (forest industry by-products and post-consumer wood) required for the manufacture of sawnwood (coniferous and non-coniferous), wood-based panels (veneer sheets, plywood, particle board, and fiberboard) and wood pulp (mechanical, chemical, semi-chemical, and dissolving) are derived from the Joint Forest Sector Questionnaire (JFSQ) data on the production of sawnwood, wood-based panels, and wood pulp, accessed through FAOSTAT [19]. Thus, production data—converted to solid wood equivalents by multiplying the production value by the conversion factor for the country and product in question [20]—are multiplied by input coefficients expressing the share of different woody biomass sources used in the manufacturing of a specific wood product [18], specific for each country and product considered, to derive the amount of primary and secondary woody biomass used in the manufacturing of the wood product in question. For projection purposes, Gross Domestic Product (GDP) growth rates and GDP demand elasticities are applied to the JFSQ production data. Country- and product-specific GDP demand elasticities used in projections of the production of wood products are from the Global Forest Trade Model [21], whereas GDP projections, which differ between EU member states and the non-EU countries (here Norway, Switzerland, and the UK), are from the Shell corporation [22].
Domestic industrial by-products (solid and liquid), part of the secondary sources of woody biomass, are estimated from data on the production of sawnwood, wood-based panels, and wood pulp. Hence, production data, converted to solid wood equivalents using country- and sector-specific conversion factors [20], are multiplied by country- and product-specific output coefficients [20]. The volume of bark is derived from the sum of removals and net imports of industrial roundwood and fuelwood, respectively, by multiplying industrial roundwood and fuelwood volumes under bark by species-specific (coniferous and non-coniferous respectively) bark conversion factors [23].
The 2019 Joint Wood Energy Enquiry (JWEE) [24] is the main data source for the energy use of woody biomass, distinguishing between energy wood from direct (fuelwood), indirect (forest industry by-products and processed wood fuels), and unknown sources. The EU Reference Scenario 2020 [25], through country-wise projections of biomass and waste, is the chief source for country projections of wood energy use. The JWEE provides data on the amounts of wood from direct (primary, under bark), indirect (secondary plus bark), and unknown sources.
For historic data, primary sources of woody biomass—removals (production) and trade of industrial roundwood and fuelwood—are obtained from the JFSQ, as are the trades of chips, particles, and other residues (net imports constitute a part of secondary sources of biomass), again accessed through FAOSTAT [20]. Data on the productive function of forests are available from Eurostat European forest accounts [26]. For projection and comparison (to reported removals) purposes, industrial roundwood (IRW) removals are derived from estimated uses of IRW for manufacturing of wood products—as detailed above—minus net imports of IRW, while fuelwood (FW) removals are estimated as direct wood uses for energy minus net imports of FW. Fellings are estimated from total removals (IRW + FW) as removals plus logging residues using information as to the relation between wood removals and fellings from Pilli et al. [27].
Due to considerable uncertainties over time even in the midterm, a scenario analysis was chosen as the most appropriate approach for an outlook on the future use and availability of wood. Two main scenarios are set up, as different as possible in the quantitative sense so as to best span the whole set of feasible scenarios: (i) higher availability (HA), characterized by a lower future level of wood use and a higher level of roundwood imports, as compared to (ii) lower availability (LA), which considers a higher level of wood use, in particular for energy use so as to achieve the targets of RED III, and a lower level of roundwood imports, as imports from the Russian Federation and Belarus are not foreseen in this scenario. The scenarios are further detailed below.
The HA uses the GDP projections of the Shell corporation Energy Security Scenarios Archipelagos [22], where global sentiment shifts away from managing emissions and towards energy security; however, the drive for energy security still includes the greater use of low-carbon technologies. The rates of change of biomass and waste in gross available energy in the EU Reference Scenario 2020 [25] are used for the projections of wood used for energy (heat and power) for EU member states. For Norway and Switzerland, projections are based on historic developments in JWEE data [24] using periods of lower usage (amounting to annual rates of change in energy wood use of −4.6% and −3.0% for Switzerland and Norway, respectively), while the rates of change used for the UK projections of wood used for energy are the average of the French and German ones according to the EU Reference Scenario 2020 [25]. This choice is motivated by the circumstance that the historical development of the UK’s use of wood for energy is similar to those of France and Germany, and post-BREXIT, in the context of the Ukraine war, the UK and the EU have increased their coordination on energy [28]. The share of woody biomass in biomass and waste is assumed to remain constant over the outlook period for all countries, as are the shares of the different categories of wood (direct, indirect, and unknown) in total energy use of wood. Trade is assumed to remain unchanged from year 2019 values for all countries in this study, the implicit assumption being that Europe has either managed to find replacements for imports of roundwood from the Russian Federation and Belarus or revoked sanctions in this respect (and convinced the Russian Federation and Belarus to resume exports of wood-based commodities to Europe).
The LA uses the GDP projections of the Shell corporation Energy Security Scenarios Sky 2050 [22], which aims to achieve net-zero emissions by 2050. For EU MSs, this means the implementation of the 2023 revision of the Renewable Energy Directive EU/2023/2413 (RED III). The rates of change of biomass and waste in gross available energy in the EU Reference Scenario 2020 [25] are used for the projections of wood used for energy (heat and power) for EU member states, corrected for the raised binding renewable target for 2030 of RED III [1] of a minimum of 42.5% compared to the 32% used in the EU Reference Scenario 2020 [25]. Hence, biomass and waste use (and thus also wood energy use) for year 2030 is increased by 32.8%, and the intermediate value for year 2025 is estimated through linear interpolation. After the year 2030, biomass and waste use develops according to the same rates of change as in the EU Reference Scenario 2020 [25]. For Norway and Switzerland, projections are based on historic rates of change in the JWEE data [24] using periods of higher usage (amounting to annual rates of change in energy wood use of 0.3% and 1.0% for Switzerland and Norway, respectively), while the rates of change used for UK projections of wood used for energy are the average of the French and German ones for the LA. Again, the share of woody biomass in biomass and waste is assumed to remain constant over the outlook period for all countries, as are the shares of the different categories of wood (direct, indirect, and unknown) in total energy use of wood. Trade in roundwood uses year 2019 values minus year 2019 values of imports from the Russian Federation and Belarus for all countries in this study, while trade in other woody biomass assortments remains unchanged from year 2019 values.
In order to clarify the impact of energy policies and as a means of sensitivity analysis, we add two subscenarios, HA_GDP0 and LA_GDP0, only differing with respect to the respective main scenario in that we assume no GDP growth and consequently no increase in the demand for industrial roundwood and thus no increase in fellings for material purposes.

4. State of Play in the Use and Supply of Wood

In per capita terms, removals and consumption of FW in the EU27 + the UK (EU28) outgrew IRW removals and apparent consumption (production + imports − exports) as well as GDP in the period 2007 to 2019, with a particularly marked increase just after the adoption of the Renewable Energy Directive (RED I) in 2009 (Figure 1). A detailed analysis of this indicates that FW removals are underestimated. It is hard to make any other interpretation than that these forest-use developments were to a large extent driven by the introduction of RED I in the year 2009. The region is more or less self-sufficient when it comes to FW, with limited trade.
The EU has traditionally been a net importer of IRW. Before the financial crisis in 2009, imports ranged from 20 to 26 million m3. Since then, imports have never exceeded 16.5 million m3. In 2019, even minor net exports were recorded, mostly spruce logs from salvage logging due to bark beetle infestations. The Russian Federation has been the single most important supplier of roundwood to the EU28; Finland has dominated EU imports of roundwood from the Russian Federation (Figure 2).
Table 2 and Table 3 depict WRB sheets for the EU28 for the years 2009 and 2019, respectively. The overall use of woody biomass for energy in the EU28 increased by some 48%, or 159 million m3, between 2009 and 2019, clearly reflecting the Renewable Energy Directive introduced in 2009. The overall use of woody biomass for material purposes increased by only 25%, or 102 million m3, during the same period, notwithstanding that production levels were at a low in the year 2009 due to the financial crisis. The share of material uses, including manufacturing of wood pellets, in total uses of woody biomass decreased from 56% to 51% (Figure 3 and Figure 4). Secondary woody biomass (“indirect wood”) is the largest reported source for wood-based bioenergy, and its share increased from 46% to 52%. A noteworthy circumstance here is the strong increase in domestic production and net imports of wood pellets, with the UK as the main wood pellets importer.
Total EU28 wood removals—direct wood for energy plus estimated roundwood use of wood for material minus total net imports of roundwood (IRW + FW)—within the EU28 increased from 487 million m3 under bark (ub) in 2009 to 668 million m3 ub in 2019, a 37% increase. Unreported roundwood—the difference between the reported supply of roundwood (removals plus net imports of IRW and FW) and the derived use of roundwood for material and energy—increased from 31 million m3 ub in 2009 (see [31]) to 72 million m3 ub ([30] and own calculations) in the same period. For 2019, energy uses accounted entirely for the unreported removals; hence, the reported supply of IRW (removals plus net imports) exceeded estimated material uses by some 2.2 million m3 ub, while the reported direct wood use for energy exceeded the reported supply of FW (removals plus net imports) by some 74.7 million m3 ub. Roundwood used for manufacturing of sawnwood, wood-based panels, and wood pulp accounted for the major part of total roundwood use, 68% in 2009 and 66% in 2019 ([30] and own calculations).
A basic indicator of the sustainability of wood supply is the comparison of net annual increment (NAI) of forests and fellings, with a fellings-to-increment (F/I) ratio lower than one indicating an increasing growing stock. For the period in question, the level of fellings (removals plus bark plus logging residues) was lower than NAI (Figure 5). However, data indicate that fellings are growing faster than the net annual increment. As a matter of fact, the net annual increment decreased over the period, and NAI and fellings are seemingly converging, with the F/I ratio increasing from 0.60 to 0.86 over this ten-year period. This obviously has climate ramifications, as fellings growing faster than NAI entails a shrinking forest carbon sink (see, e.g., Korosuo et al. [5]).
Looking more in detail, Table 4 depicts the WRB for the year 2019 for Region North, comprising Finland, Norway, Sweden, and the Baltic countries. This is a relatively sparsely populated region, well endowed with forest resources with strong forest industries which play an important role in the national economy [15] and a forest policy priority for sustained-yield forestry [15]. Notwithstanding being forest-rich, the region is a net importer of industrial roundwood and forest industry by-products but a net exporter of wood pellets. Trade in fuelwood is insignificant. The WRB is well balanced; the “surplus” of sources of some 600 thousand m3 ub amounts to a mere 0.2% of total wood uses. The importance of the wood pulp industry in the forest-based industry is striking. This industry is the largest material user of wood, followed by sawmilling, while the wood-based panel industry is rather small in comparison (Figure 6).
Wood-based manufacturing in all accounts for almost two-thirds of total wood uses. Wood-based manufacturing in the region is mainly based on primary wood sources, estimated at some 167 million m3 ub, or 83%, while secondary wood sources account for around 17% (Figure 7). This circumstance is a reflection of the region being rich in forest resources and sparsely populated. Coniferous species dominate, accounting for 83% of the IRW used. Secondary woody biomass (“indirect wood”) is the largest reported source of wood-based bioenergy, accounting for 69%, or 80 million m3 ub (Figure 8), of which black liquor accounts for more than half (Table 4). Wood of unknown origin accounts for six percent of energy wood uses. Energy uses account for only 15% of total primary wood use.
Table 5 depicts the WRB for year 2019 for Region West, comprising Austria, Belgium, Denmark, France, Germany, Ireland, Luxembourg, Netherlands, Switzerland, and the UK. This is a populous, densely populated region, less endowed with forests in terms of forest area per capita than Region North (see, e.g., [32]) and with forest policy priorities ranging from multifunctional forestry (Austria, France, Germany) to carbon (Ireland, the UK) and biodiversity forest management (BENELUX, Denmark, Switzerland). This region is the largest user of woody biomass of the four analyzed here. The solid-wood-products industry is dominating forest-based industry use of wood, with sawmilling being the largest material user of wood, followed by the wood-based panel industry, using half the amount of wood as compared to the sawmill industry (Figure 9). In all, energy uses account for some 55% of total uses of wood (ibid.) and 39% of primary wood use. Wood-based manufacturing in the region uses a larger proportion of secondary wood sources than Region North, 26% as compared to 17% (Figure 10), including a substantial amount of recovered post-consumer wood, 8.6 million m3 (Table 5), a reflection of the region being more densely populated and relatively less endowed with forests, making reuse of woody biomass both more economically feasible and more of necessity. Again, coniferous species dominate IRW use, accounting for 84% of the IRW used. Secondary woody biomass (“indirect wood”) is again the largest reported source of wood-based bioenergy, accounting for 59% of the wood used for energy (Figure 11).
Noteworthy is the circumstance that Region West used almost twice the amount of wood for energy compared to Region North but a smaller amount of wood in forest-based industries (Table 4 and Table 5). Turning to the sources side of the WRB, the region is a net importer of industrial roundwood and forest industry by-products and a major net importer of wood pellets. The UK accounted for 74% of these wood pellets net imports in 2019. Again, trade in fuelwood is insignificant. Notable is also the circumstance that, unlike Region North, in Region West, total sources fall significantly short of total uses by some 36 million m3. This is mostly due to under-reported roundwood (Table 6). Hence, the estimated amount of primary wood required for material and energy uses, 215 million m3 ub, exceeds the recorded supply (removals + net imports) of roundwood (IRW + FW) with 29 million m3 ub, of which 71%, 21 million m3 ub, is attributed to energy uses. As several studies have indicated a strong tendency toward underestimation of removals and fellings in official statistics, see e.g., [33,34], it is reasonable to allocate the 29 million m3 ub to roundwood removals. Corrected removals would then amount to 207 million m3 ub.
Table 7 presents the WRB for Region East, comprising Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Slovakia, and Slovenia, for the year 2019. This is a region that is less populous and more endowed with forests in terms of forest area per capita than Region West, though it is less so than Region North (see, e.g., [32]), and it has a forest policy priority for a combination of sustained-yield and multifunctional forestry. Region East registered notable net exports of industrial roundwood and wood pellets in 2019, while it was a net importer of forest industry by-products. Again, as in Region West, the solid-wood-products industry dominates industry use of wood, sawmilling being the largest material user of wood, closely followed by the wood-based panel industry (Figure 12). Coniferous species dominate in the IRW use, though not to the same extent as is the case in Regions North and West, accounting for a share of 74%. Wood-based manufacturing in the region is based on secondary wood sources to the same degree, in relative terms, as Region West, 26% (Figure 13), or 25 million m3 ub.
Unlike Region North and Region West, primary woody biomass (“direct wood”) is the largest reported source of wood-based bioenergy, 53% (Figure 14). A peculiarity is the high proportion, 30%, of wood of unknown/unspecified origin in the recorded energy use of wood (ibid.). Energy uses account for some 50% of total uses of wood (Figure 12) and 42% of primary wood use. Again, the same as is the case in Region West, total sources fall short of total uses to a significant degree, some 33 million m3 ub. The estimated amount of primary wood required for material and energy uses, about 120 million m3, exceeds the recorded supply (removals + net imports of IRW and FW) with some 15 million m3, which is completely due to energy uses. As a matter of fact, the recorded IRW supply exceeds estimated material roundwood needs by some ten million m3 ub (Table 8), implying that this amount of IRW was actually used for energy. Allocating the 15 million m3 ub to roundwood removals results in corrected removals of 137 million m3 ub, which can still be regarded as a conservative estimate, considering the considerable amount—around 28 million m3 ub—of wood of unknown origin used for energy.
Table 9 presents the WRB for the year 2019 for Region South, comprising Cyprus, Greece, Italy, Malta, Portugal, and Spain. This region, quite heterogeneous in terms of forest endowment and the use of wood, uses the smallest amount of wood overall and has a forest policy priority for ecosystem forest management in support of recreation, carbon sequestration, and biodiversity conservation. The region is a net importer of all types of wood assortments. The wood pulp industry is the largest industrial user of wood, followed by the panel industry (Figure 15). Interestingly, sawmilling is the smallest in terms of wood use. Energy uses account for some 60% of total uses of wood (ibid.). Wood-based manufacturing in the region is to a considerable degree based on secondary wood sources, 32% or some 16 million m3 ub (Figure 16). IRW use in this region is more evenly distributed in the tree species sense, with non-coniferous species accounting for 43%.
As in Region East, primary woody biomass is the largest reported source of wood-based bioenergy, 53% (Figure 17). Again, the same as is the cases in Regions West and East, total sources fall short of total uses to a significant degree, about 32 million m3, the largest gap in relative terms. The estimated amount of primary wood required for material and energy uses, about 75 million m3 ub, exceeds the recorded supply with some 21 million m3 ub, a gap entirely due to energy uses, as recorded IRW supply actually exceeds estimated material roundwood needs by some four million m3 ub, while energy use of FW (direct wood) exceeds reported FW by around 24 million m3 ub (Table 10). Region South is the only region where energy uses of primary wood dominate, accounting for 54%. Corrected removals of roundwood are about 71 million m3 ub.
Table 11 summarizes fellings (removals + bark + logging residues) and increment data for the four regions under study and provides estimates of the fellings-to-increment (F/I) ratio for the year 2019. Seemingly, all regions fulfilled the basic sustainability requirement of F/I ratios smaller than one, implying increasing forest growing stocks as well as forest carbon stocks. However, the margins are small, in particular in Region West, and have very little room for increasing fellings. No clear trend in NAI over the period is discernible in any of the regions (Figure 18), which implies that if NAI continue to remain stationary, increasing fellings will inevitably lead to decreasing forest carbon sinks (see, e.g., Korosuo et al. [5]).

5. Outlook: Scenarios to 2040

Figure 19 shows the evolution of fellings according to the four scenarios in Region North, and, for comparison, the average NAI for the period 2010 to 2020. Given the absence of a trend in the NAI, this can be seen as a plausible approximation of the future NAI. Fellings are lower than the NAI over the whole outlook period in all scenarios, resulting in increasing forest carbon stocks, obviously to a lesser extent in the LA scenarios. However, the forest carbon sink decreases over the whole outlook period in the HA and LA scenarios, and in the LA_GDP0 and HA_GDP0 scenarios until 2030, as fellings increase in these periods. In the HA scenario, total use of primary wood in Region North is projected to increase by some 13% from 2019 to 2040. This increase is entirely due to the use of primary wood for material, increasing by some 16% in all, while energy uses of primary wood actually decrease by 8.3% over the whole outlook period after an initial increase from 2019 to 2030 by 5.1%. In the LA scenario, total use of primary wood in Region North is projected to increase by some 17% from 2019 to 2040, as material uses of primary wood increase by 16%, while energy uses increase by around 21%. The increase in energy use of primary wood is sharpest between 2019 and 2030, 37%, reflecting the raised 2030 RED target. In the two scenarios where energy demand for primary wood drives changes in fellings, HA_GDP0 and LA_GDP0, fellings increase until year 2030 and then decrease, reflecting the foreseen gradual decline in the use of biomass and waste from 2030 in the EU Reference Scenario 2020 [25] that forms the basis for assessment of energy use of wood as outlined in the Material and Methods Section. Hence, assuming no growth in the production of wood-based products in Region North, the forest carbon sink would increase from 2030 to 2040.
Figure 20 depicts projected fellings in the four scenarios in Region West for the period 2019 to 2040 and the average NAI for the period 2010 to 2020. Again, in the absence of a clear trend in the NAI, the average can be seen as a plausible approximation of the future NAI. In the HA scenario, year 2027 is the inflection point, after which fellings are greater than the NAI, resulting in decreasing growing and carbon stocks and the forest turning from a sink to a source of carbon. Total use of primary wood in Region West in the HA scenario is projected to increase by around 11% over the whole outlook period. Material primary wood uses are foreseen to increase by some 12% in all, while energy uses of primary wood, peaking in the year 2030, are projected to increase by about 8% over the whole outlook period in this scenario. In the LA scenario, 2025 is the inflection point, after which fellings are increasingly greater than NAI, resulting in progressively decreasing growing and carbon stocks and the forest turning from a sink to a substantial source of carbon. Total use of primary wood in the LA scenario is projected to increase by some 19% from 2019 to 2040, the largest part of which is due to a strong increase in energy use of primary wood, some 28% in all. Again, energy use of primary wood is projected to peak in year 2030. Thus, the same as in Region North, regardless of the scenario, the energy use of wood culminates in 2030, followed by a gradual, slow decline between 2030 and 2040. It is noteworthy that even assuming no growth in material uses of wood, the raised RED target for the year 2030 would lead to decreasing forest carbon stocks and turn the forest from a sink to a source of carbon from the year 2026 onward, according to scenario LA_GDP0. Only in the absence of growth in material uses of wood and under the assumption that the implementation of the 2018 revision of the RED target from the year 2018—32% renewable energy in total final energy consumption instead of the 42.5% in RED III—is applied in the EU Reference Scenario 2020 [25] would the forest remain a carbon sink in Region West.
Figure 21 depicts projected fellings for the four scenarios and the average NAI for the period 2010 to 2020 in Region East. Yet again, in the absence of a clear trend in the NAI, the historic average can be seen as a plausible approximation of the future NAI. In the HA scenario, year 2035 is the inflection point, after which fellings become greater than the NAI, resulting in decreasing forest growing and carbon stocks and the forest turning from a sink to a source of carbon. Total use of primary wood in the HA scenario is projected to increase by around 26% from 2019 to 2040. Energy uses are projected to outgrow material ones, increasing by some 42% as compared to around 15% for material uses. The LA scenario sees a substantial increase in fellings; the rate of increase is highest from 2019 to 2030, some 35%, while the rate of growth between 2030 and 2040 is only 9.5%. Energy use of primary wood would almost double between 2019 and 2040. Here, the year 2025 is the inflection point, after which fellings become greater than the NAI. Again, the same as in Region West, even assuming no growth in material uses of wood, the RED III target for the year 2030 would lead to decreasing forest carbon stocks and turn the forest from a sink to a source of carbon from the year 2026 onward, according to scenario LA_GDP0. Only the combination of no growth in material uses of wood and the implementation of the lower target for 2030 in the 2018 revision of the RED applied in the EU Reference Scenario 2020 [25] would lead to the forest remaining a carbon sink, albeit a shrinking one, in Region East for the whole outlook period.
Figure 22 depicts fellings in the four scenarios and the average NAI for the period 2010 to 2020 in Region South. Yet again, in the absence of a clear trend in the NAI, the historic average can be seen as a plausible approximation of the future NAI. In the HA scenario, year 2035 is the inflection point, after which fellings become greater than the NAI, resulting in the forest turning from a sink to a source of carbon. Total use of primary wood in Region South increases by some 22.5% from 2019 to 2040 in this scenario, with energy and material uses projected to roughly grow at the same pace. In the LA scenario, the inflection point, after which fellings would be greater than the NAI, has already occurred in year 2025. The rate of increase in overall use of primary wood is highest from 2019 to 2030, 39%; between 2030 and 2040 it is a mere 5.7%. Total use of wood is projected to increase by around 47% from 2019 to 2040 in this scenario. Energy uses of primary wood, projected to grow by 67%, would mainly be responsible for this, while material uses increase by 23%. The same as in Regions West and East, even in the absence of growth in material uses of wood, the RED III target for the year 2030 would lead to decreasing forest carbon stocks and turn the forest from a sink to a source of carbon from year 2026 onward, according to scenario LA_GDP0. Only the combination of no growth in material uses of wood and the implementation of the lower target for 2030 in the 2018 revision of the RED applied in the EU Reference Scenario 2020 [25] would permit the forest to remain a carbon sink in Region South for the whole outlook period.

6. Discussion and Conclusions

In addition to uncertainties surrounding any GDP projection, not least given the current geopolitical situation, structural changes in wood-products markets—notably falling demand for graphic paper over time—puts into question the aptness of GDP as a demand shifter and the reliability of demand elasticities (see, e.g., [35]). This further motivates the use of scenario analysis to somewhat mitigate the aforementioned shortcomings. Further, the Ukraine–Russia armed conflict has already significantly affected the trade in wood products; however, longer-term impacts are uncertain. These effects are only partially accounted for in this study in the form of reduced imports of roundwood from Russia and Belarus. In addition, this study does not account for the impact of climate change on future regional forest growth. Hence, it is important to point out that the modelling results are “what-if” explorative scenarios, certainly not forecasts (“what-will-be”). Nevertheless, the overriding pattern of declining forest sinks until the year 2030 in all regions and in all scenarios is consistent with historical developments.
The four European regions under study differ in terms of population density, forest endowment, the size and composition of wood use, and forest policy priorities. In addition to forest endowment and, obviously, the relative size of wood use, the composition of wood use is determinant for how the regions fare in terms of the most basic form of sustainability, i.e., the development of the forest growing stock. Energy use of wood obviously precludes any further use. In contrast, wood-based manufacturing results in a main product which can be used once more for energy purposes in a single-stage cascade or, in a multistage cascade, at least once more in material form before disposal or recovery for energy purposes. In addition, wood-based manufacturing normally results in by-products which themselves can be used in the manufacturing of wood-based products or for energy generation.
In light of this, irrespective of the scenario envisioned, Region North is the only region that would see increasing forest growing stocks over the whole outlook period. This forest-rich region with a well-developed forest-based industry has the lowest overall share of wood used for energy and, importantly, by far the lowest share of energy in primary wood use. This outcome, i.e., increasing growing stocks over the whole outlook period, could also be seen as a reflection of the forest policy paradigm of the countries in this region of sustained-yield forestry [36]. Still, even for Region North, the forest carbon sink would decrease over the outlook period at least until 2030 in all scenarios, as fellings grow faster than net annual increment, making it all but impossible to meet the EU LULUCF target for the year 2030. This conclusion is further strengthened considering that the scenario results do not account for the increased use of wood for energy purposes resulting from increased electricity prices as a consequence of sanctions and the sabotage of the Nordstream natural gas pipelines. This has led to a strong increase in fuelwood prices; e.g., in Finland, energy wood (fuelwood) prices were close to pulpwood prices in the third quarter of 2023 [37]. Should this development continue, the closure or displacement of some wood-using industries can be expected to speed up (see, e.g., [10]). This could somewhat ease the demand for wood in European regions while obviously hampering the growth of the European bioeconomy. The potential easing of sanctions on Russian hydrocarbons following the end of hostilities should reduce the energy demand for wood, which would be beneficial for wood-using industries and would increase the sustainability of forest usage in Europe through reduced fellings, ceteris paribus.
The results of this study clearly suggest that current renewable energy policies alone would lead to a strong increase in the demand for wood, at least until 2030. Results on the factual (ex-post) and projected (ex-ante) fellings indicate incongruence between the policy objectives of the amended Renewable Energy Directive (RED) and the revised LULUCF Regulation. This is a further confirmation of the persistence of horizontal and vertical policy incoherencies described in previous policy studies (e.g., [12,15,36]), despite numerous voices that have highlighted the necessity of effective coordination of policies affecting the forest sector [36].
There are a number of potential options, and combinations thereof, to mitigate these cross-sectoral and multilevel policy trade-offs. Net annual increment could be increased by increasing gross annual increment and/or reduce natural losses. This could prove difficult, though, at least in the short to medium term, particularly given climate change-induced calamities such as the recent bark beetle infestation. Secondly, the forest area could be expanded through afforestation; this, besides potentially jeopardizing other important land uses such as food production, would have minor effects in the time frame of this study. Thirdly, efforts could be made to increase imports of wood raw materials. It is, however, difficult to see how imports could be substantially increased given the geopolitical situation and environmental policy instruments in place, notably the EU Timber Regulation [38] and its coming replacement, the EU Regulation on Deforestation-Free Products [39], which constrain rather than promote transnational timber trade [15]. Further, from a climate change mitigation perspective, this would in any case be a dubious approach, as it would imply increasing fellings and/or crowding out of wood uses elsewhere, possibly negating any climate benefits achieved in Europe. More promising avenues are to increase the efficiency in manufacturing and energy generation along with an overall enhancement of cascading wood use. The high share of primary woody biomass in wood used for heat and power in all European regions but Region North underscores the importance of increased cascading. However, achieving both RED and LULUCF policy targets would most likely require a combination of increasing forest growth and enhanced cascading.

Author Contributions

Conceptualization, R.J.; methodology, R.J.; formal analysis, R.J. and M.S.; data curation, R.J.; writing—original draft, R.J. and M.S.; review and editing, R.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. EU28 removals and consumption of industrial roundwood (IRW) and fuelwood (FW) per capita and GDP per capita. Index 2005 = 100 (figure from Camia et al. [29]).
Figure 1. EU28 removals and consumption of industrial roundwood (IRW) and fuelwood (FW) per capita and GDP per capita. Index 2005 = 100 (figure from Camia et al. [29]).
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Figure 2. Imports of roundwood, million m3 (data source: [7]).
Figure 2. Imports of roundwood, million m3 (data source: [7]).
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Figure 3. Wood uses by sector in the EU28 for year 2009, % (data source: European Commission [30]).
Figure 3. Wood uses by sector in the EU28 for year 2009, % (data source: European Commission [30]).
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Figure 4. Wood uses by sector in the EU28 for year 2019, % (data sources: [30] and own calculations).
Figure 4. Wood uses by sector in the EU28 for year 2019, % (data sources: [30] and own calculations).
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Figure 5. EU28 net annual increment and fellings, million m3 over bark, ob (data sources: fellings are calculated from removals using data from Pilli et al. [27] and a conversion factor of ub to ob volume of 1/0.88. NAI data are from [26]).
Figure 5. EU28 net annual increment and fellings, million m3 over bark, ob (data sources: fellings are calculated from removals using data from Pilli et al. [27] and a conversion factor of ub to ob volume of 1/0.88. NAI data are from [26]).
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Figure 6. Wood uses by sector in year 2019 in Region North, % (data sources: [30] and own calculations).
Figure 6. Wood uses by sector in year 2019 in Region North, % (data sources: [30] and own calculations).
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Figure 7. Type of biomass used for material in year 2019 in Region North, % (data sources: [30] and own calculations).
Figure 7. Type of biomass used for material in year 2019 in Region North, % (data sources: [30] and own calculations).
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Figure 8. Type of biomass used for energy in year 2019 in Region North, % (data sources: [30] and own calculations).
Figure 8. Type of biomass used for energy in year 2019 in Region North, % (data sources: [30] and own calculations).
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Figure 9. Wood uses by sector in year 2019 in Region West, % (data sources: [30] and own calculations).
Figure 9. Wood uses by sector in year 2019 in Region West, % (data sources: [30] and own calculations).
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Figure 10. Type of biomass used for material in year 2019 in Region West, % (data sources: [30] and own calculations).
Figure 10. Type of biomass used for material in year 2019 in Region West, % (data sources: [30] and own calculations).
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Figure 11. Type of biomass used for energy in year 2019 in Region West, % (data sources: [30] and own calculations).
Figure 11. Type of biomass used for energy in year 2019 in Region West, % (data sources: [30] and own calculations).
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Figure 12. Wood uses by sector in year 2019 in Region East, % (data sources: [30] and own calculations).
Figure 12. Wood uses by sector in year 2019 in Region East, % (data sources: [30] and own calculations).
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Figure 13. Type of biomass used for material in year 2019 in Region East, % (data sources: [30] and own calculations).
Figure 13. Type of biomass used for material in year 2019 in Region East, % (data sources: [30] and own calculations).
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Figure 14. Type of biomass used for energy in year 2019 in Region East, % (data sources: [30] and own calculations).
Figure 14. Type of biomass used for energy in year 2019 in Region East, % (data sources: [30] and own calculations).
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Figure 15. Wood uses by sector in year 2019 in Region South, % (data sources: [30] and own calculations).
Figure 15. Wood uses by sector in year 2019 in Region South, % (data sources: [30] and own calculations).
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Figure 16. Type of biomass used for material in year 2019 in Region South, % (data sources: [30] and own calculations).
Figure 16. Type of biomass used for material in year 2019 in Region South, % (data sources: [30] and own calculations).
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Figure 17. Type of biomass used for energy in year 2019 in Region South, % (data sources: [30] and own calculations).
Figure 17. Type of biomass used for energy in year 2019 in Region South, % (data sources: [30] and own calculations).
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Figure 18. Net annual increment, million m3 ob (data source: [28]).
Figure 18. Net annual increment, million m3 ob (data source: [28]).
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Figure 19. Fellings and the historical average NAI for Region North, million m3 ob (data sources: own calculations, average NAI derived from [26]).
Figure 19. Fellings and the historical average NAI for Region North, million m3 ob (data sources: own calculations, average NAI derived from [26]).
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Figure 20. Fellings and the historical average NAI for Region West, million m3 ob (data sources: own calculations, average NAI derived from [26]).
Figure 20. Fellings and the historical average NAI for Region West, million m3 ob (data sources: own calculations, average NAI derived from [26]).
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Figure 21. Fellings and the historical average NAI for Region East, million m3 ob (data sources: own calculations, average NAI derived from [26].
Figure 21. Fellings and the historical average NAI for Region East, million m3 ob (data sources: own calculations, average NAI derived from [26].
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Figure 22. Fellings and the historical average NAI for Region South, million m3 ob (data sources: own calculations, average NAI derived from [26]).
Figure 22. Fellings and the historical average NAI for Region South, million m3 ob (data sources: own calculations, average NAI derived from [26]).
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Table 1. Policy and legal framework of timber availability in Europe (adapted from [15]).
Table 1. Policy and legal framework of timber availability in Europe (adapted from [15]).
Increase in Wood UseSustainability 17 01291 i001Decrease in Wood Use
Sectoral policy priorityForestry for bioenergy biomassTimber-oriented multipurpose forestryCarbon forest management for forest sinks and carbon pools in harvested wood productsEcosystem management for forest biodiversity
EU levelRenewable Energy Directive (RED)Common Agriculture Policy (CAP);
Rural Development Regulation (ELER)
Climate Law; Fit for 55 Package; Land Use, Land Use-Change, and Forestry Regulation (LULUCF)Birds and Habitats Directives (Natura 2000); Nature Restoration Regulation (NRL); Deforestation Regulation (EUDR)
National levelVariety of national implementations of EU policies and laws; variety of national forestry policies and laws
Table 2. Wood resource balances for EU28 for year 2009, 1000 m3SWE (data source: European Commission [30]).
Table 2. Wood resource balances for EU28 for year 2009, 1000 m3SWE (data source: European Commission [30]).
1000 m3SWE 1000 m3SWE
PRIMARYIndustrial roundwood removals (conifer)241,822 150,107Sawmill industry (conifer)MATERIAL
Industrial roundwood removals (non-conifer)63,326 16,507Sawmill industry (non-conifer)
Fuel wood removals (conifer)31,320 3152Veneer sheets industry
Fuel wood removals (non-conifer)70,280 7386Plywood industry
Net-import industrial roundwood (conifer)4315 54,112Particle board industry
Net-import industrial roundwood (non-conifer)4677 24,049Fiberboard industry
Net-import fuel wood518 23,845Mechanical pulp industry
Bark57,681 104,139Chemical pulp industry
SECONDARYSawmill residues74,896 3065Semi-chemical pulp industry
Other industrial residues9800 3446Dissoving pulp industry
Wood pellets19,043 19,043Wood pellets industry
Black liquor57,441 137,820Direct woodH&P
Net-import wood chips and particles4027 149,687Indirect wood
Net-import other wood residues4727 41,245Unknown wood
Net-import wood pellets−338
Post-consumer wood31,952
Total sources675,487 737,603Total uses
Table 3. Wood resource balances for EU28 for year 2019, 1000 m3SWE (data sources: European Commission [30] and own calculations).
Table 3. Wood resource balances for EU28 for year 2019, 1000 m3SWE (data sources: European Commission [30] and own calculations).
1000 m3SWE 1000 m3SWE
PRIMARYIndustrial roundwood removals (conifer)310,555 185,624Sawmill industry (conifer)MATERIAL
Industrial roundwood removals (non-conifer)82,085 18,838Sawmill industry (non-conifer)
Fuel wood removals (conifer)40,657 2782Veneer sheets industry
Fuel wood removals (non-conifer)83,525 11,347Plywood industry
Net-import industrial roundwood (conifer)−3703 58,145Particle board industry
Net-import industrial roundwood (non-conifer)5144 31,760Fiberboard industry
Net-import fuel wood−59 19,880Mechanical pulp industry
Bark71,755 122,978Chemical pulp industry
SECONDARYSawmill residues92,255 3418Semi-chemical pulp industry
Other industrial residues12,403 11,236Dissoving pulp industry
Wood pellets45,272 45,272Wood pellets industry
Black liquor72,368 198,804Direct woodH&P
Net-import wood chips and particles9636 253,540Indirect wood
Net-import other wood residues3339 34,920Unknown wood
Net-import wood pellets22,138
Post-consumer wood50,184
Total sources897,556 998,543Total uses
Table 4. Wood resource balances for Region North for year 2019, 1000 m3SWE (data source: own calculations).
Table 4. Wood resource balances for Region North for year 2019, 1000 m3SWE (data source: own calculations).
1000 m3SWE 1000 m3SWE
PRIMARYIndustrial roundwood removals (conifer)135,147 76,261Sawmill industry (conifer)MATERIAL
Industrial roundwood removals (non-conifer)24,444 2627Sawmill industry (non-conifer)
Fuel wood removals (conifer)9237 658Veneer sheets industry
Fuel wood removals (non-conifer)14,303 4062Plywood industry
Net-import industrial roundwood (conifer)343 4267Particle board industry
Net-import industrial roundwood (non-conifer)3275 599Fiberboard industry
Net-import fuel wood−521 15,776Mechanical pulp industry
Bark25,582 73,535Chemical pulp industry
SECONDARYSawmill residues39,517 2628Semi-chemical pulp industry
Other industrial residues3003 6133Dissoving pulp industry
Wood pellets15,288 15,288Wood pellets industry
Black liquor43,060 28,465Direct woodH&P
Net-import wood chips and particles4662 80,131Indirect wood
Net-import other wood residues749 7415Unknown wood
Net-import wood pellets−6923
Post-consumer wood7279
Total sources318,446 317,846Total uses
Table 5. Wood resource balances for Region West for year 2019, 1000 m3SWE (data source: own calculations).
Table 5. Wood resource balances for Region West for year 2019, 1000 m3SWE (data source: own calculations).
1000 m3SWE 1000 m3SWE
PRIMARYIndustrial roundwood removals (conifer)96,677 80,276Sawmill industry (conifer)MATERIAL
Industrial roundwood removals (non-conifer)18,013 5807Sawmill industry (non-conifer)
Fuel wood removals (conifer)20,426 846Veneer sheets industry
Fuel wood removals (non-conifer)42,890 1367Plywood industry
Net-import industrial roundwood (conifer)8759 26,208Particle board industry
Net-import industrial roundwood (non-conifer)−871 15,824Fiberboard industry
Net-import fuel wood390 3839Mechanical pulp industry
Bark25,963 21,493Chemical pulp industry
SECONDARYSawmill residues35,446 0Semi-chemical pulp industry
Other industrial residues3331 3117Dissoving pulp industry
Wood pellets17,949 17,949Wood pellets industry
Black liquor13,130 84,463Direct woodH&P
Net-import wood chips and particles783 125,304Indirect wood
Net-import other wood residues3053 905Unknown wood
Net-import wood pellets27,931
Post-consumer wood37,187
Total sources351,056 387,398Total uses
Table 6. Recorded sources (production + net imports) and uses of primary and secondary woody biomass in Region West for year 2019 (data source: own calculations).
Table 6. Recorded sources (production + net imports) and uses of primary and secondary woody biomass in Region West for year 2019 (data source: own calculations).
Sources Uses
Million m3Million m3
Industrial roundwood122.6 130.9Industrial roundwoodMaterial
Fuelwood63.745.9Secondary
Bark26.084.5FuelwoodEnergy
Secondary138.8125.3Indirect
0.9Unknown
Table 7. Wood resource balances for Region East for year 2019, 1 000 m3SWE (data source: own calculations).
Table 7. Wood resource balances for Region East for year 2019, 1 000 m3SWE (data source: own calculations).
1000 m3SWE 1000 m3SWE
PRIMARYIndustrial roundwood removals (conifer)72,626 29,254Sawmill industry (conifer)MATERIAL
Industrial roundwood removals (non-conifer)23,822 8233Sawmill industry (non-conifer)
Fuel wood removals (conifer)10,197 743Veneer sheets industry
Fuel wood removals (non-conifer)15,750 3751Plywood industry
Net-import industrial roundwood (conifer)−16,531 19,608Particle board industry
Net-import industrial roundwood (non-conifer)−180 10,803Fiberboard industry
Net-import fuel wood−932 1209Mechanical pulp industry
Bark14,490 10,589Chemical pulp industry
SECONDARYSawmill residues16,708 823Semi-chemical pulp industry
Other industrial residues3968 1956Dissoving pulp industry
Wood pellets7761 7761Wood pellets industry
Black liquor6749 49,752Direct woodH&P
Net-import wood chips and particles1753 15,663Indirect wood
Net-import other wood residues−565 27,672Unknown wood
Net-import wood pellets−2,872
Post-consumer wood2,273
Total sources155,017 187,817Total uses
Table 8. Recorded sources (production + net imports) and uses of primary and secondary woody biomass in Region East for year 2019 (data source: own calculations).
Table 8. Recorded sources (production + net imports) and uses of primary and secondary woody biomass in Region East for year 2019 (data source: own calculations).
Sources Uses
Million m3Million m3
Industrial roundwood79.7 70.1Industrial roundwoodMaterial
Fuelwood25.024.6Secondary
Bark14.549.8FuelwoodEnergy
Secondary35.815.7Indirect
27.7Unknown
Table 9. Wood resource balances for Region South for year 2019, 1000 m3SWE (data source: own calculations).
Table 9. Wood resource balances for Region South for year 2019, 1000 m3SWE (data source: own calculations).
1000 m3SWE 1000 m3SWE
PRIMARYIndustrial roundwood removals (conifer)19,113 6915Sawmill industry (conifer)MATERIAL
Industrial roundwood removals (non-conifer)16,490 2262Sawmill industry (non-conifer)
Fuel wood removals (conifer)2085 535Veneer sheets industry
Fuel wood removals (non-conifer)12,567 2185Plywood industry
Net-import industrial roundwood (conifer)284 9061Particle board industry
Net-import industrial roundwood (non-conifer)2605 5094Fiberboard industry
Net-import fuel wood1152 1220Mechanical pulp industry
Bark7568 17,361Chemical pulp industry
SECONDARYSawmill residues4027 211Semi-chemical pulp industry
Other industrial residues2189 910Dissoving pulp industry
Wood pellets5012 5012Wood pellets industry
Black liquor9997 40,185Direct woodH&P
Net-import wood chips and particles2468 35,637Indirect wood
Net-import other wood residues370 0Unknown wood
Net-import wood pellets4317
Post-consumer wood4122
Total sources94,367 126,591Total uses
Table 10. Recorded sources (production + net imports) and uses of primary and secondary woody biomass in Region South for year 2019 (data source: own calculations).
Table 10. Recorded sources (production + net imports) and uses of primary and secondary woody biomass in Region South for year 2019 (data source: own calculations).
Sources Uses
Million m3Million m3
Industrial roundwood38.5 34.7Industrial roundwoodMaterial
Fuelwood15.816.1Secondary
Bark7.640.2FuelwoodEnergy
Secondary32.535.6Indirect
0.0Unknown
Table 11. Net annual increment and fellings, million m3 ob, fellings-to-increment ratios (data sources: fellings are calculated from removals using [27] and a conversion factor of ub to ob volume of 0.88. NAI data are from [28]).
Table 11. Net annual increment and fellings, million m3 ob, fellings-to-increment ratios (data sources: fellings are calculated from removals using [27] and a conversion factor of ub to ob volume of 0.88. NAI data are from [28]).
NorthWest EastSouth
NAI317281219105
Fellings25826718489
F/I ratio0.810.950.840.85
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MDPI and ACS Style

Jonsson, R.; Sotirov, M. Future Wood Availability in Europe in Light of Climate and Energy Policy and Geopolitical Developments—A Wood Resource Balance-Based Assessment. Sustainability 2025, 17, 1291. https://doi.org/10.3390/su17031291

AMA Style

Jonsson R, Sotirov M. Future Wood Availability in Europe in Light of Climate and Energy Policy and Geopolitical Developments—A Wood Resource Balance-Based Assessment. Sustainability. 2025; 17(3):1291. https://doi.org/10.3390/su17031291

Chicago/Turabian Style

Jonsson, Ragnar, and Metodi Sotirov. 2025. "Future Wood Availability in Europe in Light of Climate and Energy Policy and Geopolitical Developments—A Wood Resource Balance-Based Assessment" Sustainability 17, no. 3: 1291. https://doi.org/10.3390/su17031291

APA Style

Jonsson, R., & Sotirov, M. (2025). Future Wood Availability in Europe in Light of Climate and Energy Policy and Geopolitical Developments—A Wood Resource Balance-Based Assessment. Sustainability, 17(3), 1291. https://doi.org/10.3390/su17031291

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