Forestry Mitigation Options for Mexico: Finding Synergies between National Sustainable Development Priorities and Global Concerns

We examine carbon (C) reference and mitigation scenarios for the Mexicanforest sector between the year 2000 and 2030. Estimates are presentedseparately for the period 2008–2012.Future C emissions and capture are estimated using a simulation modelthat: a) allocates the country land use/land cover classes among differentfuture uses and categories using demand-based scenarios for forestryproducts; b) estimates the total C densities associated to each land usecategory, and c) determines the net carbon implications of the process ofland use/cover change according to the different scenarios.The options analyzed include both afforestation/reforestation, such ascommercial, bionenergy and restoration plantations, and agroforestrysystems, and forest conservation, through the sustainable management ofnative forests and forest protection.The total mitigation potential, estimated as the difference between the totallong-term carbon stock in the reference and the mitigation scenario reaches300 × 10⁶ Mg C in the year 2012 and increases to 1,382 × 10⁶ Mg C in 2030. The average net sequestration in the 30 year period is 46 × 10⁶ Mg C yr^-1, or 12.5 × 10⁶ Mg C yr^-1 within the period 2008 to 2012. The costs of selected mitigation options range from 0.7–3.5 Mg C^-1 to 35 Mg C^-1. Some options are cost effective.     

Mitigation Potential for Carbon Sequestration Through Forestry Activities in Southern and Eastern China

In this paper, forest protection, short- and long-rotation plantations, forestregeneration, agroforestry and other activities for carbon (C) sequestration wereevaluated. China may be divided into five sub-regions, of which three fallin the main forested areas of China, i.e., the northeast, the southeast andthe southwest regions. The forestry mitigation potential in these threeregions is the subject of this paper. The Comprehensive Mitigation AssessmentProcess (COMAP) model is used to calculatethe potential for carbon mitigation and the cost-effectiveness of eachmitigation option, assuming that 60 percent of the goals of long-termforestry plans of the Chinese government could be realized. The resultsshow that the total sequestered C by the mitigation scenario between2000 and 2030 for the three regions of China will be 2093 × 10⁶ Mg C, ofwhich 281 × 10⁶ Mg C will occur between 2008 and 2012. The total netbiomass sequestration (difference of mitigation and baseline scenarios) from2000 to 2030 and from 2008 to 2012 is 496 × 10⁶ Mg C and 59 × 10⁶ Mg Crespectively. The C sequestration potential could be higher if othertwo regions are included since the forest area of the two regions amount to26.5% of total forested area, in particular, the land area suitable forforestation in the northwest accounts for 45% of the total. The activitywith least investment cost per unit of C is forest regeneration, followedby long-rotation plantation and forest conservation. The mostinvestment-intensive activity is bioenergy. The total investment for all themitigation activities is US $12.7 billion. The above figures between2008–2012 provide an upper bound on the potential for early startprojects that might be eligible for the Clean Development Mechanism(CDM). The authors would like to note that the mitigation potential andcost-effectiveness of agroforestry and bioenergy projects need to be furtherstudied.     

Economic Assessment of Mitigation Options for Enhancing and Maintaining Carbon Sink Capacity in Indonesia

Land use, land-use change and forestry (LULUCF) projects may becomeeligible under Article 12 of the United Nations Framework Convention onClimate Change (UNFCCC) Kyoto Protocol's Clean DevelopmentMechanism (CDM). Some of the issues, which need to be addressed,include identifying the types of greenhouse gas (GHG) mitigation activitiesin LULUCF, which could be undertaken as CDM projects. Other issuesinvolve evaluating the mitigation potential and cost effectiveness of theactivities, as well as their likely socio-economic impacts and their influenceon the national carbon (C) stock. Three broad categories of mitigationactivities in LULUCF analyzed in this study include managing Cstorage, C conservation and carbon substitution. The C intensityof the activities was estimated to range from 37 to 218 Mg C per ha. The highest is in reforested land with slow growing species and the lowestin short-rotation plantations. At a real discount rate of 10%, investmentcosts required to implement the mitigation activities ranged from US$0.07 to 0.88 per Mg C, with life cycle costs ranging from US$ 0.07to 3.87 per Mg C, and benefits ranging from US$ –0.81 to 6.57 perMg C. Mitigation options with negative benefits are forest protection,reforestation, reduced impact logging and enhanced natural regeneration,while those with positive benefits are short rotation timber plantation, andbio-energy. Reforestation gave negative benefit since no revenue fromwood as trees are left in the forest for conservation, while Reduced ImpactLogging (RIL) and Enhanced Natural Regeneration (ENR)gave negative benefits because additional cost required to implement theoptions could not be compensated by the increase in round-hardwoodyield. Other factor is that the local price of round-hardwood is very low,i.e. US$ 160 per m³, while FOB price is between 250–400 US$ per m³. Total area available for implementing mitigationoptions (planting trees) in 1997 was 31 million hectares (× 10⁶ha) (about 40% are critical lands, 35% grasslands and 25%unproductive lands).Total area being considered for implementing the options under baseline,government-plans and mitigation scenarios in the period 2000–2030 is12.6, 16.3 and 23.6 × 10⁶ ha respectively. Furthermore, total area of production forest being considered for implementing reduced impactlogging and enrichment planting under the tree scenarios is 9, 26 and 16 × 10⁶ ha respectively, and that for forest protection is 2.1, 3.7, 3.1× 10⁶ ha respectively. The cumulative investment for implementingall mitigation activities in the three scenarios was estimated at 595, 892and 1026 million US$ respectively. National C stock under thebaseline scenario will continuously decline through 2030, while undergovernment-plans and mitigation scenarios the carbon stock increases. In2030, national C stock of the government and mitigation scenarios isalmost the same, 13% higher than that of baseline. However, the increasein national carbon stock in both scenarios could not offset carbon emissionsdue to deforestation.     

Carbon mitigation potential and costs of forestry options in Brazil,China, India,Indonesia, Mexico,the Philippines and Tanzania

This paper summarizes studies of carbon (C) mitigation potential and costs of about 40 forestry options in seven developing countries. Each study uses the same methodological approach – Comprehensive Mitigation Assessment Process (COMAP) – to estimate the above parameters between 2000 and 2030. The approach requires the projection of baseline and mitigation land-use scenarios. Coupled with data on a per ha basis on C sequestration or avoidance, and costs and benefits, it allows the estimation of monetary benefit per Mg C, and the total costs and carbon potential. The results show that about half (3.0 Pg C) the cumulative mitigation potential of 6.2 Petagram (Pg) C between 2000 and 2030 in the seven countries (about 200× 10⁶ Mg C yr^-1) could be achieved at a negative cost and the remainder at costs ranging up to $100 Mg C^-1. About 5 Pg C could be achieved, at a cost less than $20 per Mg C. Negative cost potential indicates that non-carbon revenue is sufficient to offset direct costs of these options. The achievable potential is likely to be smaller, however, due to market, institutional, and sociocultural barriers that can delay or prevent the implementation of the analyzed options.     

Forestry for sustainable biomass production and carbon sequesteration in India

A sustainable forestry scenario aimed at meeting the projected biomassdemands, halting deforestation and regenerating degraded forests wasdeveloped and analyzed for additionality of mitigation and cost-effectivenessfor India. Similarly, mitigation potential of a commercial forestry scenarioaimed at meeting the biomass demands from forestry activities on privateland was assessed. India has a significant scale baseline scenario afforestationand effective forest conservation activities. India is afforesting at an averagegross rate of 1.55 × 10⁶ ha yr^-1 over the past 10 years, while the gross deforestation rate was 0.272 × 10⁶ ha yr^-1 during the same period. The sustainable forestry scenario could lead to an additional carbon (C) stock of 237 × 10⁶ Mg C during 2000 to 2012, while the commercial forestry scenario apart from meeting all the incremental biomass demands (estimated for 2000 to 2015) could potentially lead to an additional carbon stock of 78 × 10⁶Mg C during 2000 to 2012. Short- and Long-rotation forestry activities arecommercially viable. With appropriate policies and financial incentives allthe industrial wood, sawnwood and commercial fuelwood requirementcould be met through commercial forestry, so that government funds couldbe dedicated for conserving state owned forests and meeting subsistencebiomass demands. The commercial forestry activities could receive financialsupport under greenhouse gas (GHG) abatement programmes. The government, however, needs to develop institutions and guidelines to process, evaluate, approve and monitor forestry sector mitigation projects.     

Potential and Cost of Carbon Sequestration in the Tanzanian Forest Sector

The forest sector in Tanzania offers ample opportunities to reduce greenhouse gas emissions (GHG) and sequester carbon (C) in terrestrial ecosystems. More than 90% of the country's demand for primary energy is obtained from biomass mostly procured unsustainably from natural forests. This study examines the potential to sequester C through expansion of forest plantations aimed at reducing the dependence on natural forest for wood fuel production, as well as increase the country's output of industrial wood from plantations. These were compared ton conservationoptions in the tropical and miombo ecosystems. Three sequestrationoptions were analyzed, involving the establishment of short rotation and long rotation plantations on about 1.7 × 10⁶ hectares. The short rotation community forestry option has a potential to sequester an equilibrium amount of 197.4 × 10⁶ Mg C by 2024 at a net benefit of 79.5 × 10⁶, while yielding a NPV of 0.46 Mg^-1 C. The long rotation options for softwood and hardwood plantations will reach an equilibrium sequestration of 5.6 and 11.8 × 10⁶ Mg C at a negative NPV of 0.60 Mg^-1 C and 0.32 Mg^-1 C. The three options provide cost competitive opportunities for sequestering about 7.5 × 10⁶ Mg C yr^-1 while providing desired forest products and easing the pressure on the natural forests in Tanzania. The endowment costs of the sequestration options were all found to be cheaper than the emission avoidance cost for conservation options which had an average cost of 1.27 Mg^-1 C, rising to 7.5 Mg^-1 C under some assumptions on vulnerability to encroachment. The estimates shown here may represent the upper bound, because the actual potential will be influenced by market prices for inputs and forest products, land use policy constraints and the structure of global C transactions.     

中原城市群区域碳储量的时空变化和预测研究

为了有效评估中原城市群碳储量,运用灰色预测模型获取动态碳密度数据,结合Dyna-CLUE模型和InVEST模型,动态评估2005~2030年土地利用变化下不同情景的碳储量演变特征,以及城市发展对碳储量的影响.结果表明,2005~2020年中原城市群碳储量分别为1689.59×10⁶t、2035.36×10⁶t、2066.34×10⁶t和2093.05×10⁶t,呈现持续增加趋势;2030年经济发展情景、生态保护情景和经济生态协调发展情景下碳储量分别为2162.45×10⁶t、2179.39×10⁶t和2174.28×10⁶t,经济发展情景下碳储量最低,生态保护情景下碳储量最高.碳储量变化与土地利用面积变化密切相关,主要表现为耕地面积的下降导致其碳储量减少约250×10⁶t,林地面积的扩张导致其碳储量增加约103.4×10⁶t,建设用地的扩张导致其碳储量增加约87.77×10⁶t;耕地和草地面积与总碳储量呈较弱的负相关关系,林地、水域、建设用地和未利用地面积与总碳储量呈较强的正相关关系.2005~2030年中原城市群30个城市的碳储量分别为11.38×10⁶t~214.24×10⁶t,碳储量的变化反映出城市土地碳排放在2030年之前已经达到峰值,且经济生态协调发展情景可能更适合未来城市发展的目标.     

Optimizing carbon sequestration in commercial forests by integrating carbon management objectives in wood supply modeling

This paper provides a methodology for generating forest management plans, which explicitly maximize carbon (C) sequestration at the forest-landscape level. This paper takes advantage of concepts first presented in a paper by Meng et al. (2003; Mitigation Adaptation Strategies Global Change 8:371–403) by integrating C-sequestration objective functions in existing wood supply models. Carbon-stock calculations performed in Woodstock^TM (RemSoft Inc.) are based on C yields generated from volume table data obtained from local Forest Development Survey plots and a series of wood volume-to-C content conversion factors specified in von Mirbach (2000). The approach is used to investigate the impact of three demonstration forest-management scenarios on the C budget in a 110,000 ha forest in south-central New Brunswick, Canada. Explicit demonstration scenarios addressed include (1) maximizing timber extraction either by clearcut or selection harvesting for greatest revenue generation, (2) maximizing total C storage in the forest landscape and in wood products generated from harvesting, and (3) maximizing C storage together with revenue generation. The level of clearcut harvesting was greatest for scenario 1 (≥15 × 10⁴ m³ of wood and ≥943 ha of land per harvesting period), and least for scenario 2 (=0 m³ per harvesting period) where selection harvesting dominated. Because softwood saw logs were worth more than pulpwood ($60 m⁻³ vs. $40 m⁻³) and were strategic to the long-term storage of C, the production of softwood saw logs exceeded the production of pulpwood in all scenarios. Selection harvesting was generally the preferred harvesting method across scenarios. Only in scenario 1 did levels of clearcut harvesting occasionally exceed those of selection harvesting, mainly in the removal of old, dilapidated stands early in the simulation (i.e., during periods 1 through 3). Scenario 2 provided the greatest total C-storage increase over 80 years (i.e., 14 × 10⁶ Mg C, or roughly 264 Mg ha⁻¹) at a cost of $111 per Mg C due to lost revenues. Scenarios 3 and 1 produced reduced storage rates of roughly 9 × 10⁶ Mg C and 3 × 10⁶ Mg C, respectively; about 64% and 22% of the total, 80-year C storage calculated in scenario 2. The bulk of the C in scenario 2 was stored in the forest, amounting to about 76% of the total C sequestered.     

大城市机动车污染物排放与控制的情景预测

机动车排放控制措施的有效实施对改善城市大气环境质量具有重要意义. 以北京市为例,利用情景预测法评估2011—2020年各项控制措施对城市机动车常规污染物(CO、NO_x、HC、PM₁₀)的削减效果.建立Gompertz模型并估算动态车龄分布以预测机动车保有量,运用排放因子法估算6种机动车排放控制情景的污染物削减量. 结果表明:与基准情景相比,轻型客车保有量调控情景对CO、HC和PM₁₀的削减效果较显著,在2020年可分别削减7.81%、9.88%和5.78%;排放标准更新情景对4种污染物均能有效削减,尤其是对NO_x和PM₁₀,可分别削减21.19%和24.67%;而淘汰高排放机动车情景的短期削减效果显著,但中、长期效果较差;新能源车推广情景因受到经济、技术条件的限制,削减效果较弱;综合情景考虑了以上所有的削减控制措施并达到最大的削减效果,2020年对CO、NO_x、HC和PM₁₀的削减率分别达到29.45%、42.54%、28.04%和41.30%,与基准年(2010年)相比,分别削减约2.81×105、0.63×104、3.77×104和0.17×104t.      

Impacts of land use,restoration, and climate change on tropical peat carbon stocks in the twenty-first century: implications for climate mitigation

The climate mitigation potential of tropical peatlands has gained increased attention as Southeast Asian peatlands are being deforested, drained and burned at very high rates, causing globally significant carbon dioxide (CO₂) emissions to the atmosphere. We used a process-based dynamic tropical peatland model to explore peat carbon (C) dynamics of several management scenarios within the context of simulated twenty-first century climate change. Simulations of all scenarios with land use, including restoration, indicated net C losses over the twenty-first century ranging from 10 to 100 % of pre-disturbance values. Fire can be the dominant C-loss pathway, particularly in the drier climate scenario we tested. Simulated 100 years of oil palm (Elaeis guineensis) cultivation with an initial prescribed burn resulted in 2400–3000 Mg CO₂?ha^?1 total emissions. Simulated restoration following one 25-year oil palm rotation reduced total emissions to 440–1200 Mg CO₂?ha^?1, depending on climate. These results suggest that even under a very optimistic scenario of hydrological and forest restoration and the wettest climate regime, only about one third of the peat C lost to the atmosphere from 25 years of oil palm cultivation can be recovered in the following 75 years if the site is restored. Emissions from a simulated land degradation scenario were most sensitive to climate, with total emissions ranging from 230 to 10,600 Mg CO₂?ha^?1 over 100 years for the wettest and driest dry season scenarios, respectively. The large difference was driven by increased fire probability. Therefore, peat fire suppression is an effective management tool to maintain tropical peatland C stocks in the near term and should be a high priority for climate mitigation efforts. In total, we estimate emissions from current cleared peatlands and peatlands converted to oil palm in Southeast Asia to be 8.7 Gt CO₂ over 100 years with a moderate twenty-first century climate. These emissions could be minimized by effective fire suppression and hydrological restoration.     

Implications of climate change on mitigation potential estimates for forest sector in India

Climate change is projected to impact forest ecosystems, including biodiversity and Net Primary Productivity (NPP). National level carbon forest sector mitigation potential estimates are available for India; however impacts of projected climate change are not included in the mitigation potential estimates. Change in NPP (in gC/m²/yr) is taken to represent the impacts of climate change. Long term impacts of climate change (2085) on the NPP of Indian forests are available; however no such regional estimates are available for short and medium terms. The present study based on GCM climatology scenarios projects the short, medium and long term impacts of climate change on forest ecosystems especially on NPP using BIOME4 vegetation model. We estimate that under A2 scenario by the year 2030 the NPP changes by (−5) to 40% across different agro-ecological zones (AEZ). By 2050 it increases by 15% to 59% and by 2070 it increases by 34 to 84%. However, under B2 scenario it increases only by 3 to 25%, 3.5 to 34% and (−2.5) to 38% respectively, in the same time periods. The cumulative mitigation potential is estimated to increase by up to 21% (by nearly 1 GtC) under A2 scenario between the years 2008 and 2108, whereas, under B2 the mitigation potential increases only by 14% (646 MtC). However, cumulative mitigation potential estimates obtained from IBIS—a dynamic global vegetation model suggest much smaller gains, where mitigation potential increases by only 6% and 5% during the period 2008 to 2108.     

天山北坡城市群碳储量时空变化及预测研究

为了有效评估城市群碳储量变化,以天山北坡城市群为研究对象,运用PLUS模型和InVEST模型,动态评估2000～2020年及2030年不同情景下土地利用变化及碳储量变化特征.结果表明,2000～2020年天山北坡城市群碳储量呈现持续增加趋势,且碳储量变化与土地利用变化密切相关,主要表现为2000～2010年林地面积的减少导致其碳储量减少约266×106t,2010～2020年草地面积的增加使其碳储量增加约69.14×10⁶t.2030年自然发展情景、生态保护情景和经济快速发展情景下碳储量预测值分别为8875.88×10⁶t、8895.58×10⁶t和8841.58×10⁶t;经济快速发展情景下碳储量最低,生态保护情景下碳储量最高.土地利用是影响碳储量空间变化分布的第一主导因素,贡献率接近于90%,土地利用强度与碳储量协调性分析与两者双变量空间自相关分析进一步验证了这一结论.土地利用变化在一定程度上能够对碳储量产生积极影响,对于本研究区而言,生态保护发展情景可能更符合未来城市发展模式,研究结果能够为土...     

Reducing emissions from deforestation and forest degradation plus (REDD+) in the Philippines: will it make a difference in financing forest development?

There is a high level of interest in reducing emissions from deforestation and forest degradation plus (REDD+) carbon (C) financing as a way to accelerate forest conservation and development. However, there is very limited information on the potential costs and benefits of REDD+ in developing countries like the Philippines. In this paper, we estimated the range of likely financial benefits of REDD+ implementation in the country under various forest degradation and mitigation scenarios. Our findings show that reducing the rate of forest degradation by a modest 5 to 15 % annually while increasing the doubling the rate of reforestation to 1.5 % annually could reduce C emissions by up to about 60 million t C by 2030. These are equivalent to US$ 97 to 417 million of mean C credits annually at US$ 5 per ton C. These figures are much higher than the total budget of the government and official development assistance for forestry activities in the country which amounted to US$ 46 million in 2005 and US$ 12 million in 2006, respectively. We conclude that REDD+ C credits could be a significant source of financing for forestry projects in developing countries like the Philippines.     

Will funding to Reduce Emissions from Deforestation and (forest) Degradation (REDD+) stop conversion of peat swamps to oil palm in orangutan habitat in Tripa in Aceh,Indonesia?

Tripa is the last remaining peat-swamp forest that harbours a potentially viable Sumatran orangutan (Pongo abelii) sub-population in a formally but not effectively protected area. It appears to be a simple showcase where current efforts to financially support reducing emissions from deforestation and forest degradation (REDD+) converge with biodiversity and social co-benefits. In practice, however, situation is more complex. REDD+ efforts interact with global palm oil trade and regulatory approaches (the moratorium) to achieve national goals for emissions reduction under umbrella of nationally appropriate mitigation actions (NAMA). To contextualize this debate, we assessed (i) land-use history and formal basis of palm-oil companies’ rights; (ii) carbon (C) stocks, historical emission levels and potential emissions that can be avoided; (iii) economic benefits of land-use options and opportunity costs of avoiding emissions; (iv) biodiversity and environmental services; and (v) alternative options for “high C stock development” and employment generation. Natural forest cover declined (54 % in 1995, 18 % in 2009) while oil palm increased 4–39 %. Aboveground C stocks decreased from 148 Mg ha^?1 in 1990 to 61 Mg ha^?1 in 2009, leading to average annual emissions of 14.5 Mg (carbon dioxide) CO₂e ha^?1 year^?1. While 41 % of these emissions yield less than American Dollar (USD) 5 of current economic benefits per Mg CO₂e emitted and might be compensated by REDD+, nearly all new emissions derive from a breach of existing laws, regulations and voluntary palm-oil standards. Substantial investment in alternative employment is needed, rather than carbon payments per se, to support livelihoods in a low carbon emissions economy.     

Developing long-term strategies to reduce energy use and CO<Subscript>2</Subscript> emissions—analysis of three mitigation scenarios for iron and steel production in China

We perform a scenario analysis of three strategies for long-term energy savings and carbon dioxide (CO₂) emission reductions in iron and steel production in China, using a linear optimization modeling framework industry sector energy efficiency modeling (ISEEM). The modeling includes annual projections for one base scenario representing business-as-usual (BAU) and three additional scenarios representing different strategies to reduce annual energy use and CO₂ emissions from 2010 to 2050. Specifically, the three scenarios for cost-optimization modeling include changing the production share (PS), predefining emission reduction (ER) target, and stipulating carbon emission pricing (CP), respectively. While the three strategies are projected to result in similar annual energy savings by approximately 15 % compared to that of the BAU scenario in year 2050, the carbon emission pricing strategy brings about the highest annual energy savings in the medium term (e.g., 2025). In addition, adopting carbon emission pricing strategy will result in the highest emission reduction from BAU with much higher costs, i.e., by 20 % in 2025 and 41 % in 2050, while adopting either PS or ER strategies will result in a moderate level of emission reduction from BAU, i.e., by approximately 4 % in 2025 and 14 % in 2050. The analysis of China’s national strategies to reduce energy use and emissions provides important implications for global mitigation strategies.     

Technology-side carbon abatement cost curves for China’s power generation sector

China is among the largest emitters of carbon dioxide (CO₂), worldwide Thus, its emissions mitigation is of global concern. The power generation sector is responsible for nearly half of China’s total CO₂ emissions and plays a key role in emissions mitigation. This study is an integrated evaluation of abatement technologies, including both low-carbon power generation technologies and retrofitting options for coal power plants. We draw marginal abatement cost curves for these technologies using the conservation supply curve method. Using scenario analysis for the years 2015 to 2030, we discuss the potential performance of abatement technologies. Marginal costs for the analyzed abatement technologies range from RMB ? 357.41/ton CO₂ to RMB 927.95/ton CO₂. Furthermore, their cumulative mitigation potential relative to the baseline scenario could reach 35 billion tons of CO₂ in 2015–2030, with low-carbon power generation technologies and coal power abatement technologies contributing 55% and 45% of the total mitigation, respectively. Our case study of China demonstrates the power generation sector’s great potential to mitigate global emissions, and we suggest nuclear power, hydropower, and the comprehensive retrofitting of coal power as key technology options for the low-carbon transition of the energy system and long-term emissions mitigation strategies.

     

Carbon forestry economic mitigation potential in India,by land classification

Carbon forestry mitigation potential estimates at the global-level are limited by the absence or simplicity of national-level estimates, and similarly national-level estimates are limited by absence of regional-level estimates. The present study aims to estimate the mitigation potential for a large diverse country such as India, based on the GTAP global land classification system of agro-ecological zones (AEZs), as well the Indian AEZ system. The study also estimates the implications of carbon price incentive (US$50 and $100) on mitigation potential in the short-, medium- and long-term, since afforestation and reforestation (A & R) is constrained by lack of investment and financial incentives. The mitigation potential for short and long rotation plantations and natural regeneration was estimated using the GCOMAP global forest model for two land area scenarios. One scenario included only wastelands (29 Mha), and the second enhanced area scenario, included wastelands plus long fallow and marginal croplands (54 Mha). Under the $100 carbon price case, significant additional area (3.6 Mha under the wasteland scenario and 6.4 Mha under the enhanced area scenario) and carbon mitigation is gained in the short-term (2025) compared to the baseline when using the GTAP land classification system. The area brought under A & R increases by 85–100% for the $100 carbon price compared to $50 carbon price in the short-term, indicating the effectiveness of higher carbon price incentives, especially in the short-term. A comparison of estimates of mitigation potential using GTAP and Indian AEZ land classification systems showed that in the short-term, 35% additional C-stock gain is achieved in the $100 carbon price case in the enhanced area scenario of the Indian AEZ system. This difference highlights the role of the land classification system adopted in estimation of aggregate mitigation potential estimates, particularly in the short-term. Uncertainty involved in the estimates of national-level mitigation potential needs to be reduced, by generating reliable estimates of carbon stock gain and losses, and cost and benefit data, for land use sector mitigation options at a scale disaggregated enough to be relevant for national mitigation planning.     

我国燃煤电厂PM2.5减排潜力预测与分析

为研究燃煤电厂在燃煤发电机组结构优化调整和不同末端控制措施条件下PM_2.5的排放情况,以2012年为基准年,设计了分阶段、分地区不断优化的控制情景(基准、适中、加严和最严情景),并依据《大气细颗粒物一次源排放清单编制技术指南(试行)》建立的减排潜力模型对2017年、2020年和2030年我国燃煤电厂PM_2.5减排潜力及空间分布进行预测分析. 结果表明:通过燃煤发电机组结构优化调整,2017年、2020年和2030年我国燃煤电厂PM_2.5排放量与调整前相比可分别减少3.62×104、8.52×104和24.43×104 t,但相对于基准年而言,PM_2.5排放量并未减少;进一步结合末端控制措施优化进行控制,PM_2.5最大减排潜力(相对于基准年而言)可分别达到59.42×104±7.83×104、82.83×104±5.82×104和81.89×104±6.76×104 t,最高减排比例分别达到66.5%±8.8%、92.8%±6.5%和91.6%±7.6%. 我国各省(市/区)燃煤电厂PM_2.5减排潜力与其煤耗量和采取的控制措施有关,燃煤量越大,控制措施越严格,则减排潜力越大. 京津冀、长三角和珠三角地区燃煤电厂在实现超低排放,即最严情景下2017年PM_2.5减排潜力分别为5.93×104、12.04×104和4.70×104 t;2017年、2020年和2030年这3个区域PM_2.5总减排潜力分别为22.68×104、22.36×104和22.07×104 t. 内蒙古、江苏、山东、广东、河北和山西等地在实施超低排放后,其PM_2.5减排潜力均超过4×104 t,并且在全国范围内实施超低排放可显著降低我国燃煤电厂PM_2.5排放量.      

基于能源碳排放预测的中国东部地区达峰策略制定

中国东部的11个省市是中国经济最发达的地区,其碳排放量约占全国碳排放量的1/2.随着气候变化的加剧和国际社会的关注,中国政府制定了区域差异化的达峰目标,因此,预测该地区碳排放对于评估中国能否实现达峰目标具有重要意义.本文基于中国东部11省市1997-2017年的面板数据,采用STIRPAT模型来预测不同情景下的碳排放趋势,并据此分析东部地区整体碳排放达峰的可能性.结果发现,有7个省市碳排放可能在2030年之前达峰,其中,北京、上海将最早出现碳排放峰值,达峰时间可能为2022年;然而,另外4个省市碳排放较难在2030年之前达峰.从东部地区整体来看,该地区碳排放达峰时间在2028-2033年,峰值为5018.03×10⁶~5497.20×10⁶ t.因此,东部地区整体碳排放可以在2030年左右达峰,为较好地实现中国整体碳排放达峰目标奠定了基础;此外,考虑到东部各省市的碳排放达峰情况存在差异,应根据各省市的实际情况制定差异化的达峰目标.     

Differentiation of countries’ future commitments in a post-2012 climate regime: An assessment of the “South–North Dialogue” Proposal

The “South–North Dialogue” Proposal, developed by researchers from developing and industrialised countries, outlined equitable approaches to mitigation. These approaches were based on the criteria of responsibility, capability and potential to mitigate, and include deep cuts in industrialised (Annex I) countries and differentiated mitigation commitments for developing countries. This paper quantitatively analyses the implications of the proposal for countries’ emissions and costs. The analysis focuses on a “political willingness” scenario and four stabilisation scenarios. The analysis shows that stringent stabilisation targets imply that many developing countries would have to take on quantitative mitigation obligations by 2030, even when the Annex I countries take on ambitious mitigation commitments far beyond the Kyoto obligations. The “political willingness scenario” will probably not suffice to limit a warming of the Earth's atmosphere to below 2 °C.