European perspective on the development of planted forests, including projections to 2065

Resources

Growing stock in EU27 forests currently amounts to a volume of 24.1 billion m³ (ForestEurope 2011). Although the area covered is probably greater than since early Medieval times, this current volume of standing timber is mainly due to increasing increments over time, and to a harvesting level which is 65% of increment because of a demand which is only at this level, and improved recycling rates (ForestEurope 2011). Thus, at any specified age, forests currently contain more wood than they did in the 1950s (Vilén et al, 2012). Furthermore, the average age of European forests has increased since the 1980s. Net annual increment in EU27 forests amounts to 620 million m³ y^-1, and felled timber to 469 m³ y^-1 (Forest Europe 2011). However, there are indications that high stocking rates are making European forests more vulnerable to natural disturbances of which storms are the most important one (Schelhaas et al, 2003, Seidl et al. 2011).

Climate change

Any change in climate could alter the suitability of specific sites for particular species and provenances, thus influencing the whole forest ecosystem. A large, potentially negative economic impact on the forest sector is possible, especially in the Mediterranean region although medium long-term growth increases in Central and Northern Europe may occur as well (Hanewinkel et al., 2012). In this event it would be necessary to adapt to changing conditions either by increasing the natural adaptive capacity of trees (e.g. by enhancement of genetic and species diversity) or through planned management systems, such as use of alternative species (Bolte et al., 2009). Up to now, few guidelines exist for the selection or implementation of methods for achieving these objectives (Lindner et al., 2010)

Socio-economic factors

Future management of planted forests will need to take into account: the high degree of fragmentation of private forest ownership, the effect of the current economic crisis on demand for timber, product innovation, optimisation of the value-added chain, and the increasing role of the forestry sector in the bio-economy.

The onset of the global financial crisis in 2008 and the economic consequences have resulted in a considerable decrease in demand for certain wood products. For instance, pulp and paper production in Europe declined by more than 11% during the following year (Figure 2) and signs of full recovery are not there yet. A similar situation has also occurred in the USA.

This downturn in pulp and paper production, and a concurrent increase in demand for bioenergy has led to a fundamental shift in the forestry and forest industry sectors. Some countries have responded with economic stimulus packages designed to promote the development of a "greener" economy.

Currently, the forest industry sector provides only a small proportion (approximately 1%) of European GDP (ForestEurope 2011). In case of a forest coverage of a large proportion of land (60-70%), then the sector contributes roughly 3% (Figure 3). This is low partly due to fragmented forest ownership, with the average size of a private forest holding being just 2.7 ha, but also because of high levels of industrialisation in these countries. However, numerous downstream effects demonstrate that the importance of forestry in the European economy extends beyond sectoral boundaries. Consideration of the broader forest value chain (including effects on construction, transport, packaging, bio-energy and tourism) increases contribution to GDP to 8%; even when we ignore the large contribution through environmental ecosystem services such as recreation, carbon sequestration, water protection etc.

Use of multifunctional forests to satisfy timber demand

European forest management is characterised by its multi-functionality. At various levels (tree stand, landscape, nation), contrasting approaches may involve either more integration or more segregation. Examples of objectives that can be achieved at the same time as wood production are biodiversity conservation, recreation, carbon sequestration and water protection (Farrel et al., 2000). There are indications that segregation is becoming more frequent. For example, the area of protected forest in Europe increased by 12% to around 30 million ha between 2000 and 2010. Approximately 22% of this protected area is subject to zero or minimal intervention; the remainder is actively managed to increase biodiversity with minor restrictions placed on timber production (Forest Europe 2011).

There is on-going debate about which methods are suitable for satisfying the increasing demand for wood for energy while maintaining traditional forestry land use and multi-functionality. The latest European Forest Sector Outlook Study (EFSOS, 2011) projects an increase in the use of woody biomass for energy production. This implies greater competition for wood resources and a need for careful attention to minimum and maximum extraction of the annual increment. According to these projections, there will be a shortfall in the supply of woody biomass by 2030. Nabuurs et al. (2006) also predicted a shortfall in wood supply of 185 million m³ per year by 2050 due to increased demand for bioenergy and the implementation of set-aside policies for nature conservation. Coniferous wood is expected to be particularly scarce as a result of the trend towards management of broadleaved forests. Mantau et al. (2010) predicted a shortfall even under a high-supply scenario in which wood, once harvested, would be used with minimum wastage.

These studies suggest that there is a need for (a) increased domestic wood production in some forested regions through stimulation of rational and commercially interested forest ownership, (b) extension of the area allocated to wood production through increase in the number of planted and short-rotation coppiced forests, and/or (c) optimisation of management methods throughout the extended value chain.

Methods

Total forest resources (142 Mha) of 25 EU countriesⁱⁱ were examined using the EFISCEN model. EFISCEN is an area-based matrix model that assesses the availability of wood and projects forest resource development. It is especially suitable for large-scale forest scenario projections at a country or a regional level (Sallnäs 1990; Nabuurs et al., 2006; Schelhaas et al. 2007). The same forest resource database as underlying the UNECE Forest Sector Outlook studies has been used (UNECE/FAO 2011). The model simulates the development of the forest resources in terms of integrating data on wood increment, growing stock, forested area, tree species and age class distribution in time steps of five years, usually for periods of 50-60 years. A detailed description of the model is given by Schelhaas et al. (2007).

In EFISCEN, the state of the forest is described by distribution of age and volume classes, using inventory data for the forest area available for wood supply. Transitions of area data between matrix cells during simulation reflect natural processes and are influenced by management regime and change in forested area. Growth dynamics are simulated by shifts in area between matrix cells. In each 5-year time step, the area in each matrix cell moves up one age class to simulate ageing. Part of the area in each cell also moves to a higher volume class. Growth dynamics are estimated by mathematical functions with coefficients based on inventory data or yield tables.

Management was specified at two levels in the model. Firstly, a basic forest management regime defined the period during which thinnings could take place and a minimum age for final felling. These regimes can be regarded as constraints on the total harvest level. Thinnings were simulated by shifting the specified area to a lower volume class. Final felling was simulated by shifting the specified area outside the matrix to a separate "bare-forest land" class. Shifting bare-forest land back into the matrix simulated replanting or regeneration. Secondly, the demands for wood from thinnings and from final felling were specified separately, and EFISCEN simulated the felling of the required wood volume, if it is available.

The study was confined to forest tree species and management regimes that are already specified in EFISCEN for particular countries. A typical conversion of land to fast-growing coniferous forest (e.g. Pinus and Picea spp.) with rotation length of 40-80 years was simulated rather than a more extreme conversion to short-rotation Eucalyptus or Populus spp. forest. This conversion method was selected as the most logical and economical change. Furthermore, few countries have poplar or eucalypt species parameterised in EFISCEN thus hampering a large-scale conversion to these species in the model. Further, although poplar and willow are interesting from bioenergy and growth-rate points of view, they mostly grow in floodplains where no new areas are available, as these are in intensive use for agriculture. Assumptions for all Scenarios were that forest owners would be willing to harvest at the specified felling age.

The following three scenarios were examined:

1) Business as Usual (BAU): European Forest Sector Outlook Reference Scenario based on the The European forest sector outlook study II. 2010-2030 (UNECE/FAO 2011).

No species change.

Increase in wood demand of 0.6% y^-1.

Increased growth rates due to climate change.

2) High demand + Change of tree species (Plantation)

At final felling of most broadleaved species, 50% of the area is converted to a faster-growing coniferous species.

Higher increase in wood demand of 2% y^-1 during the first time step of 5 years. This equals 64 million m³ per 5 years. In order to avoid an exponential increase in demand, we increase demand in subsequent periods with the same 64 million m³ 5y^-1.

3) High demand + Change of tree species and shortening rotation length (Plantation+)

As for (2) but the rotation length of the broadleaved species is shortened to 20 years in order to increase the rate of future conversion to conifer plantations.

Results

Simulation of the BAU Scenario indicated that European forests could supply almost all of the increase in demand (0.6% y^-1) until 2065 with minimal change in management (Figure 4). Coniferous forests (just over half of the total forest area) could supply 473 million m³ y^-1 in 2065, an increase of 103 million m³ y^-1.

In the Plantation+ Scenario, conversion of 50% of the forested area to coniferous species after shortening the rotation length of broadleaved forest was found to increase wood supply to 561 million m³ y^-1 by 2065, (Figure 5). However, this form of management would not be enough to satisfy the high demand level in this Scenario.

The supply of coniferous wood under the Plantation Scenario (556 million m³ y^-1 in 2065) would be similar to that under Plantation+ Scenario. This result suggests that shortening the rotation length of broadleaved forest in order to speed up the conversion would not increase wood supply. Lack of increase in coniferous wood supply between 2030 and 2045 (Figure 5) reflects the amount of time needed for coniferous species to reach harvestable age. High demand would exhaust the reservoir of coniferous wood that exists between 2010 and 2020.

Other results show that due to the higher achieved felling level in the Plantation+ Scenario, the growing stock rises less under this regime. Namely, the growing stock amounts to 211 m³ ha^-1 in 2065 under the plantation+ versus 242 m³ ha^-1 in 2065 under the BAU scenario.

Because the specified conversion method for both the Plantation and Plantation+ Scenarios involved felling of broadleaved forest, a demand for broadleaved wood is required to stimulate the conversion to coniferous forests. By doing the conversion this way, the conversion becomes rather slow. This inertia in the system is also visible in Figure 6, where net annual increment for all forests is depicted. Only after 2045, the increment in both the plantation scenarios starts to increase compared to BAU, due to an increase in area of faster growing plantations. In 2065, in both plantation scenarios, net annual increment could rise to 7.4 m³ ha^-1 y^-1, while remaining at 6.8 m³ ha^-1 y^-1 under BAU scenario.