Abstract
Background, aim, and scope
The timber sector, i.e., forestry and timber industry, plays an important role in the socioeconomic development of Ghana through timber products export. Timber production in this sector is associated with increasing environmental burdens in terms of use of materials and energy, production of emissions and waste, and land use changes. The purpose of this study was to compile a comprehensive life cycle inventory (LCI) to identify the most dominant environmental pressures for five major production lines in the timber industry, and to evaluate the influence of the choice of the functional unit on the results (1 m3, 1 kg, and 1 euro). LCA’s of wood typically base their functional unit on volume, but mass or money may be more appropriate for the rather different products considered in this study.
Materials and methods
The LCI covers five timber production lines, namely, air-dried lumber, kiln-dried lumber, plywood, veneer, and furniture parts. Three functional units were used for this study to identify the most appropriate basis for a fair comparison of the different timber products (functional units were 1 m3, 1 kg and 1 euro). Questionnaires were administered to thirty selected companies in Ghana. These companies provided data about their material uses, energy requirements, and waste production for their operations from 2000 to 2007. The collected data were first converted into total annual average values, and next extrapolated to reflect the national average data for all 104 active companies. Finally, these data were expressed per functional unit for each of the five product lines on the basis of their production outputs (in volume, mass or money according to functional unit applied). Forest land used changes data was taken from the Ghana Timber Industry Development Division. Emissions for the several activities were taken from literature.
Results and discussion
Land use change for timber production in Ghana between the estimated periods turned out to be 34.0 × 103 ha per year, which will lead to complete deforestation in the year 2023 if continued. The total energy consumed by the timber sector per year was estimated at 1.9 × 109 MJ per year. The results showed that CO2 emissions by the timber sector activities per year accounted for 745k tons per year and dominate overall greenhouse gases emissions in the timber sector (changes in carbons storage related to land use changes not included). Wood waste by the timber sector accounted for 0.8 million m3 per year. The enormous wastage of wood contributes enormously to the rapid depletion of the country’s timber resources. The choice of the functional unit influences inventory results. The money-based functional unit, which also seems more appropriate for the different products considered, favors the value-added. Value-added products with strict sustainable forest management policy hold a promising future in terms of sustainability for the timber industry in Ghana.
Conclusions
This study has yielded good quality primary data unique for LCA research in Africa. This will enhance LCA approaches in Ghana, and allows here identification of the main environmental pressures and their dominantly contributing processes in the timber sector. Land use changes due to forestry form a critical issue and require urgent attention. The chosen functional units’ plays a crucial role in the environmental comparison of production line in the timber sector in Ghana.
Recommendations and perspectives
A comprehensive and transparent inventory for the timber industry provides the industry with an overview of areas in which material and thus economic savings can be made for the good of both environment and the industry finances. Good data keeping in the Ghanaian timber industry will help to build the required research capacity to develop local familiarity and competence in LCA techniques and applying these techniques will help to further certify tropical timber international markets.
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1 Background, aim, and scope
The timber sector, i.e., forestry and timber industry, is important for Ghana because it provides jobs and incomes for numerous local communities, and significantly contributes to Ghana’s foreign exchange earnings through timber products export. Since 1990 up to now, timber production is Ghana’s fourth biggest foreign exchange earner (FOSA 2001, Lebedys 2004, Odoom 2008). In 2004, Ghana earned €170 million from 0.5 million m3 of wood product export (Oliver and Fripp 2005). Figure 1 gives an overview of main products and their share in total timber output. The timber production in this sector is associated with an increasing environmental burden in terms of use of resources, and production of emissions and waste (Ghana 2005a, b). Recently, the concern about environmental impacts has gone beyond relying on existing national regulation because international markets are increasingly demanding environmentally sound products.
Analyzing the environmental performance of the timber sector is complex because of a variety of environmental, political, social, and cultural dimensions. This requires a more integrated approach in identifying ways to access and reduce the total environmental burden of the timber sector. Life cycle thinking has become a key focus in environmental integrated product policy and an effective integration of life cycle thinking in the timber sector is considered as a critical success factor for more sustainable industrial models (Ometto et al. 2006, Swarr 2006, Huang et al. 2007, Sundkvist and Finnveden 2007, Lilja and Liukkonen 2008, Rau and OuYang 2008). Therefore, analyzing the environmental performance of the timber sector provides an effective first step to develop, implement and improve its environmental management.
Life cycle assessment (LCA) is a standardized method (ISO-14044 2006) to comprehensively assess and evaluate the complex environmental burdens associated with the manufacturing of a product from resource extraction to end of life (Berg 1997, Papatryphon et al. 2004, Milota et al. 2005, Puettmann and Wilson 2005, ISO-14044. 2006, Nebel et al. 2006, Swarr 2006, Matheys et al. 2007, Michelsen 2007, Rivela et al. 2007, Schweinle 2007, Werner and Nebel 2007). This method was used for assessing the environmental impact of the timber industry in Ghana and identifying effective environmental improvement options. This paper focuses on the first and second step in LCA that is often referred to as life cycle inventory (LCI). The LCI here covers the five major Ghanaian timber products: air-dried lumber, kiln-dried lumber, plywood, veneer, and furniture part. These products constitute about 90% of the total timber products export in Ghana.
Most existing LCA studies of the timber sector focused on a single production line, such as plywood production (Wilson and Sakimoto 2005), sawmill production (Milota et al. 2005), forestry, e.g. (Johnson et al. 2005, Lippke et al. 2005), veneer production (Wilson and Dancer 2005). The functional unit in these studies was usually defined as 1 m3 of product produced. This study focuses on a combination of production lines to achieve a higher level of integration of assessing environmental performance in the timber sector in Ghana. The products from these production lines obviously are different in the service they provide, and these different services are expected to be insufficiently expressed by the usual functional unit of 1 m3 of product produced. We therefore selected two additional functional units, one defined as 1 kg of product produced and the other as 1 euro of product produced (all products and functional units calculated at the same moisture content).
LCA has not received much attention from the research communities in Ghana. The method is still unknown, and data relevant for Ghana’s timber sector are limited available. Most existing LCA studies for the timber sectors focus on plantation forestry as a source of raw material to the timber industry. This study focuses on natural tropical forests for resource extraction. It is important to note that LCI data on products from tropical timber is scares and limited in quality (Werner 2007). This study is therefore expected to generate LCI data for natural forestry in specific, and to provide an improved insight in the usefulness of the LCA tool for evaluating environmental policies in Ghana.
The objective of this study was to compile a comprehensive LCI to identify the most dominant environmental pressures in terms of material resource usage, emissions, energy use, waste production, and land use change, and to evaluate the influence of the choice of the functional unit for five major product lines in the timber sector in Ghana. The five major timber products are; air-dried lumber, kiln-dried lumber, plywood, veneer, and furniture parts.
This LCI study is intended for use amongst stakeholders and policy makers in deciding for the future of the timber industry in Ghana. It is my hope that this study will contribute to enhance LCA use and research in Africa.
2 Materials and methods
2.1 System description
This study was carried out in accordance with ISO-14044 2006 that specifies requirements and guidelines for conducting LCA. Figure 2 provides the process flow and system boundaries of timber sector in Ghana. It represents the linkages between subsystems, i.e., the forestry subsystem and the five product lines in the timber industry subsystem, and their unit-processes that together make up the product system or life cycle of products from Ghana’s timber sector.
2.2 Data collection procedure for forestry subsystem
Natural tropical forest is the main source of timber supply to the timber industry in Ghana. It accounts for about 80% of the total input (Ghana 2005a, b). Forest plantation is now being developed in Ghana, but yet of relatively minor importance for Ghana’s timber sector, and therefore not included in the LCI. The main activities in forestry (logging) subsystem are represented in Fig. 2. LCI for these activities focused on the material use, energy use, emissions of pollutants, and land use changes. Except for land use, data collection for these forestry activities was taken together with data collection for the timber industry. That is, because all timber companies in Ghana have forestry department attached to them that deal with all forestry issues related to the input to their own company activities. The forest land used changes data source was taken from Ghana Timber Industry Development Division (2006). Land degradation by deforestation and desertification is a major problem caused by the timber sector.
2.3 Data collection for timber industry subsystem
A selection of 30 timber companies was made of one hundred and four (104) active timber companies in Ghana. Two sampling techniques were adopted. The first state-stratified sampling was based on three market orientations of companies. According to Forestry Product Inspection Bureau (1996), the market orientations of the thirty (30) selected companies consist of fifteen (15) companies providing 100% export market, eight (8) companies 100% domestic market, and seven (7) companies mixed (Table 1). The second state-stratified sampling was based on the log input category of the companies. The total of thirty (30) selected companies consists of twelve (12) small, eight (8) medium, six (6) large and four (4) extra-large ones. Each company covers one product line only. This means that companies with more than one product line were excluded from the sample. This was done to enhance data processing.
Regional distribution of companies was a consideration for the selection of samples for the study. Questionnaires were administered to the thirty (30) selected companies in Ghana and they provided data about the inputs and outputs to their activities for resources, material uses, energy requirements, and waste production from 2000 to 2007.
Records keeping in Ghana do provide data in lump, and thus not according to unit-processes in the forestry subsystem and for the sawmilling and ply-milling and furniture processes in the timber industry subsystem (see Fig. 2). These lumped data were allocated to the five product lines on the basis of the production outputs (in volume, mass, or money according to functional unit applied). Process-specific data were provided for the kiln drier and for resin preparation and application. The data of five companies were considered of insufficient quality. The collected data for the other twenty five (25) companies were converted into total annual average values, and for a fair comparison on the national level extrapolated to reflect the national average data for all one hundred and four (104) active companies. The sawdust, off cuts, and barks are treated as wood waste in the Ghanaian timber industry unless they are used for fuelling in-house boilers. No allocation rules were needed since the companies were selected to cover one product line only and therefore the level of process detail was sufficient to avoid multiple output processes.
Data relevant for Ghana’s timber sector were limited available. Additional interviews were done to check data quality and to ascertain which processes were specifically covered by lumped data. Some assumptions had to be made. For instance, the average distance between the forest sites and the wood production companies was taken to be 500 km (in reality the distance varies from 200 to 500 km).
2.4 Calculation of emissions in the timber sector
Emission inventory data were not available for the timber companies visited in Ghana. We used the emission factors in Table 2 to calculate selected emissions as function of production volumes of a particular product line as illustrated in Eq. 1. We made the resulting emissions as local as possible by calculating them as function of production volumes as provided by the survey (see Table 4). In this context, the production capacities were virtually thought of as an activity (Jawjit et al. 2006). This study took into account emissions contributing to global warming, acidification, smog, and human toxicity. The selected emissions are CO2, CH4, and N2O for global warming; SO2 and NO X for acidification; CH4, NO X , NMVOC, CO for smog; NO X and SO2 for human toxicity. The results of emission calculations were expressed in ton of pollutant either emitted or generated from a product line of the timber sector per year (ton per year) as illustrated in Table 5.
2.5 Functional unit
Volume is commonly used as output unit in timber companies, and the functional unit for LCAs of timber products is usually accordingly defined as 1 m3 of product produced (Milota et al. 2005, Wilson and Sakimoto 2005).
A functional unit provides the reference to which the environmental inputs and outputs of a product system are related ISO-14044 (2006). It defines the service of the studied products in relation to user requirements and is typically expressed as the unit service for a specified period of time. The functional unit must include both a qualitative and quantitative description of the products service provided to the user so that the product can be compared on a fair basis. Such functional unit is difficult to define here as the properties and services differ significantly between the wood product lines covered in this study. A generic functional unit is nevertheless necessary for comparability of LCA results. The different services are expected to be insufficiently expressed by the usual functional unit of 1 m3 of product produced. We therefore selected two additional functional units. One defined as 1 kg of product produced and the other as 1 euro of product produced. The results for all functional units and products are expressed at the same moisture content of 12%. The inventory results for the five timber products in this study were thus compared on a kg ton−1, kg m−3 and kg €−1 output basis.
3 Results and discussion
The results of the inventory study were first extrapolated to total inputs and outputs of the Ghanaian timber sector to also have a basis for fair comparison on the national level. Next, they were analyzed in accordance to the selected three functional units for a fair comparison at the product level (i.e., environmental inputs and outputs expressed per volume, mass and money unit of timber product). Results are calculated for each of the five different product lines of the timber sector in Ghana (air-dried lumber, kiln-dried lumber, plywood, veneer, and furniture parts).
3.1 Forestry subsystem—land use inventory
Inventory results for material and energy use are presented in the next section as these were taken together with the timber industry subsystem. This section focuses on land use changes. The natural forest for timber production between 1989 and 2002 decreased according to official numbers by 442.0 × 103 ha as illustrated in Table 3. This gives a yearly degradation of 34.0 × 103 ha. If this degradation trend continues in the same speed, then the total production area will be reduced to 515.0 × 103 ha by the end of 2008. All the forest will have been gone by the year 2023.
The World Bank (2006) estimates Ghana’s deforestation in 2003 at around 65.0 × 103 ha per year. This equals with an annual cost of degradation of around 3.5% of Ghana’s Gross Domestic Product, together with habitat loss, species extirpation. Deforestation value according to World Bank is almost doubling the deforestation value used in this study, because the World Bank (2006) also includes illegal logging and mining activities in some forest reserves. Degradation of the forest resource is taking place for both off- and on-forest reserve. Off-forest reserve refers to unmanaged forest, where loss has arisen from the mix of expansion of farming (especially cocoa) and illegal demand of timber for informal timber sector industry. On-forest reserve refers to managed forest, where degradation has also accelerated dramatically in the last decade, due to over-logging, encroachment, illegal logging, and bushfires. This study refers to the formal timber sector.
3.2 Timber industry—materials, energy, and waste
The survey resulted in quantification of the combined use of materials and energy in the forestry and the timber industry (Table 4). The production and utilization of round wood between 2000 to 2007 was approximately 1.3 million m3 of logs as input to, and approximately 0.6 million m3 of timber products as output from the timber industry annually (see Table 4). Kiln-dried lumber and air-dried lumber production lines contributed with 0.5 million m3 per year to enormous amount of wood waste in the timber sector. This is as a result of the low production recovery in the Ghanaian timber industry. Another notable source of wood waste occurs in the forest during timber harvesting. This wood waste is usually not recorded. The enormous quantities of waste per product line in Table 4 are therefore even an underestimate of the actual quantity of wood wasted in Ghana’s timber sector.
One factor that is contributing enormously to the rapid depletion of the country’s timber resources is wastage of wood during log processing in industry. As a consequence, the timber industry in Ghana produces a considerable amount of wood waste, in total estimated to be in the order of 0.8 million m3 per year (excluding the above-mentioned forest contribution from harvesting waste) as illustrated in Table 4. Wood waste thus constitutes a major setback to the sustainable management of the timber sector. Both avoidable and unavoidable wood wastes generated during harvesting and conversions are enormous. When pooled together, however, it can be used in the production of downstream processes such as wood-based panel manufacturing in Ghana. This is regrettably not common practice in Ghana right now.
According to the energy inventory data in Table 4, the total energy consumed by the timber sector per year is estimated at 1.9 × 109 MJ per year. The main energy use was for drying wood products and is provided by combustion of in-house production waste in steam production boiler (no allocation rules were needed since the companies where selected to cover one product line only). This accounts for about 80% of the total energy consumed. The second energy users are the timber harvesting and transportation operations. Considering the energy usage by the various wood production lines, plywood production was the highest energy consuming process followed by the kiln-dried lumber.
3.3 Emission inventory of the timber sector in Ghana
Table 5 gives a summary of results for the greenhouse gases emission inventory of the timber industry in Ghana. This study shows that CO2 emissions in the timber sector accounted for 745k tons per year. This quantity dominates overall greenhouse gases emissions in timber sector. One might come to the thought that the emission of CO2 from biomass combustion can be excluded from the greenhouse gas inventories, since this CO2 is compensated through its fixation in the combusted wood derived from trees. IPCC (2006) recommends in the case of tropical forest, however, to specifically flag these emissions as an indicator for deforestation. Kiln-dried lumber, plywood, and veneer product lines contributed mostly to the CO2 emissions. Not included in this study are CO2 emissions from changes in carbons storage related to land use changes, e.g., emission from forest slashes, changes in below-ground biomass and organic carbon in soil. This is worth considering in future research work in Ghana.
3.4 Comparison of functional units
For a fair comparison of different products, LCA data should be expressed in terms of a functional unit that appropriately describes the function of the product or process being studied. Careful selection of the functional unit to measure and display the LCA results will improve the validity of the study and the usefulness of the results. The different services provided by the five products in our study hamper the selection of one common functional unit suitably covering this. We therefore choose to express results in terms of volume, mass, and monetary functional units. Figure 1 already showed that the share of the five major products in total output of Ghana’s timber sector depends on the choice of units. Money, especially, clearly influences the share of veneer in total product output. Figure 3 shows that the choice of functional units also influences inventory results. The energy use, wood waste generation, emission, and land use changes varies between the three chosen units for each of the five product lines. These differences come from the fact that the three functional units represent different product parameters that each only partly reflect the different services provided by each of the five products to the user. Relevance of product parameters can thus influence the choice of one specific functional unit for a particular product (Kluppel 1998, Erlandsson and Borg 2003, Matheys et al. 2007). Whereas veneer has the largest share in total financial output (see Fig. 1), its inventory data makes the smallest contribution if expressed per money units.
The influence of the three functional units on the results are quantified in Table 6, and graphically represented in Fig. 3. Comparing the results shows that the money-based functional unit favors the value-added products and veneer in particular. This in turn favors downstream processing of wood. Downstream processing of wood has the tendency with strict sustainable forest management policy to slow down the rate of exploitation of timber (ITTO 2005). High value products with strict sustainable forest management policy thus hold the potential to slow down the pressure on tropical forest, and this holds a promising future in terms of sustainability for the timber sector in Ghana.
4 Conclusions
LCI data for Ghana’s timber industry were as to yet limitedly available. This study has yielded good quality primary data unique for LCA research in Africa. Only emissions were not available as primary data and therefore largely based on literature. All data used in this study was considered to be the best available data. Despite the fact that we did not perform a formal sensitivity analysis, the data obtained in this LCI clearly shows the difference between the product lines and therefore serve the purpose of the study.
The main environmental pressures and their dominantly contributing processes have been identified in Ghana’s timber sector (i.e., in its forestry subsystem and timber industry subsystem). It was found that enormous amounts of wood wastes are generated in the timber industry due to its low timber production recovery. Wastage of wood during timber processing in the timber industry therefore contributes enormously to the rapid depletion of the country’s timber resources. CO2 emissions were identified to dominate overall greenhouse gases emissions. Main contributors here are the kiln-dried lumber, plywood, and veneer production lines (changes in carbons storage related to land use changes were not included). Biomass combustion in steam production boiler, which was mainly used for drying wood products, accounted for the highest energy usage. Timber harvesting and transportation operations were the second largest energy users in the sector as a result of long timber transport distances. Land use changes were identified as a critical issue and require an urgent attention. If the degradation trend continues in the same speed, then the total forest production area would be gone by the year 2023.
The result of this study should preferably not be influenced significantly by the choice of one out of the three relevant functional units (Kluppel 1998). The chosen functional units’ shows to play a crucial role, however, in the environmental comparison of production lines in the timber sector in Ghana. Money, especially, has a clear influence, particularly on the results for the veneer product line. Veneer has the largest share in total financial output and makes the smallest contribution per money units.
The enormous wood wastage and land use changes in particular constitute a setback to the sustainable management of timber sector. Natural tropical forest resources are limited and the introduction of necessary constraints under sustainable forest management practices further reduces the availability of timber for harvesting. To meet the anticipated needs of the timber industry, greater emphasis must be placed on value-added production. It is therefore critical to substantially raise productivity levels within the parameter of sustainability and value addition. This on its turn favors downstream processing of wood. Downstream processing of wood in combination with strict sustainable forest management policy has the tendency to slow down the rate of exploitation of timber (ITTO 2005). Value-added products with strict sustainable forest management policy thus hold the potential to slow down the pressure on tropical forest, and this holds a promising future in terms of sustainability for the timber sector in Ghana.
All environmental inputs (land use, material use and energy) and outputs (emissions and waste) need to be included for identifying options to reduce the burden of Ghana’s timber industry on the environment. This study has generated a unique database from tropical forest and the timber industry, which will enhance LCA approaches in Ghana. A full product LCA requires the combination of several units’ process LCI data modules and this can be used as regional benchmarks to generate or assess industry, plant or new technology data to develop environmentally oriented decision support system and LCA tools. Having a common set of data based on a single protocol will improve the quality and consistency of LCA’s in Africa.
5 Recommendations and perspectives
Compiling all inputs and outputs into a transparent inventory for the timber industry in Ghana, provides the industry with overview of areas in which material and thus economic savings can be made for the good of both environment and the industry finances. It also makes it possible to get an overview of whether inputs could be substituted by less polluting materials. This is where life cycle thinking plays a major role in product policy development for a future sustainable industry.
LCI data of good quality and representative for Ghana’s timber sector has become available with this study. The next step is to use this LCI data as input for a life cycle impact assessment (LCIA) to identify the environmental impact with the largest relevance for Ghana’s timber sector. A comparison and evaluation of existing life cycle methods for this purpose is expected to be finalized and published soon. Results from both LCI and LCIA will be the basis for a detailed improvement assessment as a last step.
Africa is the least known continent in the scientific LCA world, because it has often been a difficult place to do scientific research as a result of limited infrastructure for production inventory data. Good data keeping in the Ghana timber industry will help to build the required research capacity to develop local familiarity and competence in LCA techniques and applying these techniques will help to further certify tropical timber international markets.
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Acknowledgment
The authors wish to thank the government of Ghana and Wageningen University in the Netherlands for funding the research. We are also grateful to Dr Samuel Obeng Apori (Rector, Takoradi Polytechnic) for their inspiration and assistance during the research work. Last but not least, we like to thank two anonymous referees for their constructive inputs.
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Eshun, J.F., Potting, J. & Leemans, R. Inventory analysis of the timber industry in Ghana. Int J Life Cycle Assess 15, 715–725 (2010). https://doi.org/10.1007/s11367-010-0207-0
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DOI: https://doi.org/10.1007/s11367-010-0207-0