Managing forests and forest products has substantial potential to help mitigate climate change but the cost has not been extensively examined in Canada. We estimated the cost of seven forest-related mitigation strategies in Canada’s 230 million hectares of managed forest, divided into 32 spatial units. For each strategy and spatial unit, we determined forest sector mitigation cost per tonne (t) using estimated impacts on forest sector greenhouse gas emissions and removals and net revenue. National cost curves showed that mitigation averaged 11.0 Mt CO 2 e·year –1 in 2015–2050 at costs below $50·t CO 2 e –1 for a strategy of increased recovery of harvested biomass, increased salvage, extraction of harvest residues for bioenergy, and increased production of longer lived products. We also examined national portfolios in which the strategy selected for each spatial unit (from among the seven examined) was chosen to maximize mitigation or minimize costs. At low levels of mitigation, portfolios chosen to minimize costs were much cheaper than those that maximized mitigation, but overall, they yielded less than half the total mitigation of the latter portfolios. Choosing strategies to maximize mitigation in 2015–2050 yielded an average of 16.5 Mt·year –1 at costs below $50·t CO 2 e –1 . Our analysis suggests that forest-related strategies may be cost-effective choices to help achieve long-term emission reductions in Canada.
Abstract Many aboriginal communities look to forest resources for short‐ and long‐term employment, adequate timber for mills, an even flow of wood fiber for community stability, and financial returns for economic diversification. We address these conflicting objectives using multiple‐objective programming. We show how compromise programming can be used to set bounds on fuzzy membership functions, and illustrate the difference between crisp and fuzzy weighting of objectives. Economic development outcomes obtained using compromise and fuzzy programming greatly improve upon those associated with the even‐flow of timber rule of thumb. Yet, timber extraction is an inadequate driver of economic development in rural communities.
In this study, we explore whether projected socio-economic needs of the Little Red River Cree Nation (LRRCN) can be met using the natural resources to which they have access. To answer this question, we employ a dynamic optimization model to assess the capacity of the available forest base to provide for anticipated future needs of the LRRCN. Results for alternative management strategies indicate that decision-makers face significant tradeoffs in deciding an appropriate management strategy for the forestlands they control.
In this paper, we develop a multiple objective, decision-making model that focuses on forest policies that simultaneously achieve carbon uptake and maintenance of ecosystem diversity objectives. Two forest carbon measures are used – a nominal (undiscounted) net carbon uptake as a proxy for long-term carbon sequestration and discounted net carbon uptake that captures the “fast” carbon accumulation aspect. Ecosystem diversity is expressed in terms of desired structures for forest and afforested agricultural land. Economic effects of possible strategies are examined by comparing attainment of these objectives with the net discounted returns from commercial timber harvests and agricultural activities. The tradeoffs between timber and non-timber objectives are obtained by means of compromise programming. Two measures of distance between the current objective values and the ideal ones are used to assess attainment of multiple goals. We explore how the choice of a measure affects the decisions and overall performance. The model is applied to the boreal forest and accompanying marginal agricultural lands in the Peace River region of northeastern British Columbia.
Quantitative assessment of Canada’s boreal forest mitigation potential is not yet possible, though the range of mitigation activities is known, requirements for sound analyses of options are increasingly understood, and there is emerging recognition that biogeophysical effects need greater attention. Use of a systems perspective highlights trade-offs between activities aimed at increasing carbon storage in the ecosystem, increasing carbon storage in harvested wood products (HWPs), or increasing the substitution benefits of using wood in place of fossil fuels or more emissions-intensive products. A systems perspective also suggests that erroneous conclusions about mitigation potential could result if analyses assume that HWP carbon is emitted at harvest, or bioenergy is carbon neutral. The greatest short-run boreal mitigation benefit generally would be achieved by avoiding greenhouse gas emissions; but over the longer run, there could be significant potential in activities that increase carbon removals. Mitigation activities could maximize landscape carbon uptake or maximize landscape carbon density, but not both simultaneously. The difference between the two is the rate at which HWPs are produced to meet society’s demands, and mitigation activities could seek to delay or reduce HWP emissions and increase substitution benefits. Use of forest biomass for bioenergy could also contribute though the point in time at which this produces a net mitigation benefit relative to a fossil fuel alternative will be situation-specific. Key knowledge gaps exist in understanding boreal mitigation strategies that are robust to climate change and how mitigation could be integrated with adaptation to climate change.
The intensification of forest management in Canada has been advocated as a possible solution to the conundrum that increasing demand for conservation areas and increasing pressure for timber production have created. The benefits and disadvantages of intensive forest management in the context of the Canadian boreal forest are unclear and reaching conclusions about its general value from stand analyses may be difficult. In this study, a boreal forest in Ontario has been used to investigate the potential of intensive management to generate financial revenues and meet management constraints on volume flow and old-growth retention. Two aspects of intensive forest management are considered: intensive silviculture and concentrated harvest activities. The plans are generated with a decentralized planning approach based on cellular automata. The results for the case study show that increasing silviculture intensity can help fulfill high timber flow requirements under strict conservation requirements. This comes at the cost of reduced net revenues but from a smaller timber harvesting landbase. The main trade-offs found were those between harvest flow and financial benefits. Clustering both protected areas and harvest operations could help achieve the conservation and timber-related objectives simultaneously by improving the habitat value of conserved areas and decreasing the operational costs in harvested areas.
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