Parameterizing an agricultural production model for simulating nitrous oxide emissions in a wheat–maize system in the North China Plain

农田土壤是大气氧化亚氮的一个重要排放源,农田氧化亚氮的排放同时受到气候环境和人为活动的复杂影响。本文基于中国华北平原的一个农田试验站的观测数据,对农业生产模拟器(APSIM)进行参数化,并检验该模型在不同时间尺度上模拟农田氧化亚氮排放的能力。结果表明,对消化系数(k_2)进行校正后,模型能够较好地模拟不同时间尺度和不同施肥处理下小麦-玉米系统的土壤氧化亚氮排放,但是对于一些较高的峰值排放模拟效果欠佳。     

泰山PM10及其中化学成分变化特征

为研究华北平原区域背景气溶胶成分及其变化特征,2010年6月至2011年7月在泰山顶采集了64个PM10滤膜样品,分析了样品的PM10及其中无机盐离子和有机碳（OC）、元素碳（EC）的质量浓度,并对各成分相关性等进行了分析。泰山PM10年均质量浓度约为68.4 mg/m³,其中无机盐离子约占总质量的64.8%,碳气溶胶约占17.4%。无机盐离子的质量浓度从春季逐渐增大,夏季达到峰值,秋季下降,冬季最小;OC质量浓度从春季至秋季逐渐增高,冬季最低,EC变化类似,但夏秋两季差别不大。二次有机碳（SOC）与OC的比值四季均在50%以上,年均值约为58.5%。通过后向轨迹聚类分析发现,在经过城市的较短轨迹以及南方较短混合轨迹的影响下,泰山PM10质量浓度较高,而西北长距离传输气团PM10浓度均较低。     

中国森林乔木林碳储量及其固碳潜力预测

加强对我国森林碳储量和固碳潜力的研究,是制定中国增汇减排政策的重要依据,对我国国际气候谈判和全面了解森林碳汇潜力具有重要作用。利用我国第七次和第八次森林资源清查中各优势树种的面积和蓄积量数据,采用IPCC材积源生物量法（volume-biomass method),估算了我国森林（乔木林）碳储量和碳密度及其分布,分析我国不同省份天然乔木林和人工乔木林碳储量龄组结构特征;建立分区域、分起源主要优势树种的单位面积蓄积-林龄Logistic生长方程,结合我国森林2020年和2030年面积蓄积增长目标,预测我国乔木林2010—2050年间碳汇潜力。结果表明：第八次清查期间中国乔木林总碳储量为6135.68 Tg,碳密度为37.28 Mg/hm ²;天然乔木林和人工乔木林的碳储量分别为5246.07 Tg和889.61 Tg,分别占总碳储量的85.50%和14.50%。到2050年,中国乔木林和新造林的总碳储量和平均碳密度将分别达到11125.76 Tg和52.52 Mg/hm ²,与2010年相比分别增加81%和41%。分析结果表明中国乔木林有很大的碳汇潜力,将在应对和减缓全球气候变化中发挥重要作用。     

不同情景达到碳中和下中国区域气候变化的预估

利用第6次耦合模式比较计划（CMIP6）中的9个全球气候模式的模拟结果,通过CO₂浓度达峰时间确定SSP1-1.9和SSP1-2.6两种情景下的全球碳中和时间,预估了全球碳中和下中国区域气候较历史参考期（1995—2014年）的未来变化,分析不同时间达到碳中和下气候响应差异,并与未实现碳中和的SSP2-4.5情景下的气候变化对比。结果表明,SSP1-1.9和SSP1-2.6情景下全球达到碳中和的时间分别为2041年和2063年,相较于历史参考期,SSP1-1.9/SSP1-2.6下中国区域平均年气温上升1.22/1.58℃,平均年降水量增加7.1％/9.9％。SSP1-2.6（晚碳中和）较SSP1-1.9（早碳中和）情景下年均温增高约0.36℃,最大升温区位于西南及高原地区。对降水而言,晚碳中和较早碳中和全国平均年降水量增加约2.7％。全年及夏季降水量显著增加区主要在西北,新疆地区出现降水增加超过8％的大值区,冬季则集中于黄河中下游,增幅也超过8％。未碳中和的SSP2-4.5情景下中国区域的升温显著强于SSP1-2.6（碳中和）情景,年平均气温高约0.61℃,西北地区是升温差别大值区,其中新疆部分地区增加升温超过0.8℃。SSP2-4.5较SSP1-2.6情景年降水量在西北地区增加显著,内蒙古西北部最大增加超过10％。有无碳中和对冬季降水影响更大,SSP2-4.5情景下新疆部分地区降水增加比SSP1-2.6下多20％左右,云南部分地区则少15％左右,表明有无碳中和对气候的影响远大于早晚碳中和。     

动力传输和地表排放对北京地区对流层臭氧长期变化的影响

利用2003—2013年北京地区臭氧探空资料和多种再分析资料,结合CAM-chem模式模拟分析了北京地区对流层臭氧的长期变化趋势及影响因子。结果表明:近11 a来,北京地区对流层臭氧整体呈明显增加趋势,对流层臭氧总量每年增加约0.98 DU,且地表排放对该地区对流层臭氧增加的贡献相比动力过程更大。其中,由平流层向下输送造成的对流层臭氧总量每年增加约为0.13×10~(-3)~0.17×10~(-3)Tg,对北京地区对流层臭氧总量的增加贡献约20%;由水平输送造成的臭氧增加每年约为0.06×10~(-3)Tg,对臭氧总量增加贡献约10%;而由地表排放造成的对流层臭氧增加约占该地区对流层臭氧总增加量的60%。     

长江三角洲地区净生态系统二氧化碳通量及浓度的数值模拟

净生态系统碳通量(NEE)的计算对于准确模拟区域碳通量和大气CO₂浓度的时空变化至关重要。本文利用中尺度大气-温室气体耦合模式WRF-GHG(Weather Research and Forecasting Model with Greenhouse Gases Module),对2010年7月28日至2010年8月2日期间影响长江三角洲地区大气CO₂浓度及时空分布的各种过程进行了详尽模拟。结果表明,植被光合呼吸模型(VPRM)能模拟不同植被下垫面NEE的日变化;WRF-GHG模拟的大气CO₂浓度日变化与观测相吻合,但低估了大气CO₂浓度5~15 ppm(ppm表示10-6),这可能与人为排放源的低估、VPRM参数的不确定性以及气象场模拟的不准确性有关。太湖和植被覆盖较好的地区如浙江北部山区是该地区的主要碳汇,而城市为CO₂的主要排放源。太湖和陆地生态系统对区域内碳循环起到一定的调节作用,减缓区域大气CO₂浓度的升高。此外,局地气象条件如湖陆风对太湖周边地区大气CO₂浓度有显著影响。     

陕西省森林植被碳储量时空动态变化

基于陕西省第1次至第7次森林资源清查资料,采用IPCC(政府间气候变化专门委员会)推荐的碳储量计算方法,研究陕西省近30年森林碳储量、碳密度的时空变化特征,结果表明:近30年陕西省森林碳储量显著增加,由1987年1.21×10~8 t增加到2014年2.38×10~8 t,净增1.17×10~8 t;森林碳储量具有明显的地带性分布特点,呈现出陕南秦巴山地高,陕北高原和关中平原低的特征;森林碳储量主要分布在秦巴山林区、关山林区、黄龙山林区和桥山林区,其中汉中森林碳储量最大,其次为延安,榆林最小。各地区的森林碳储量均呈现逐渐增加趋势。     

中国台风灾情特征及其灾害客观评估方法

利用上海台风研究所及国家气象中心整编的中国台风灾情资料,分析了中国致灾台风造成的人员伤亡、房屋倒损、农田受淹及直接经济损失等灾情特征.引入了定基物价指数,改进了台风灾害指数(ATDI指数)的计算方法,基于1980-2004年间所有致灾台风的灾害指数的聚类分析,将致灾台风的灾害分为:轻灾(或小灾)、中灾、大灾(或中偏重灾)和重灾4个等级,并据此对1980-2004年间中国致灾台风的灾情进行了客观评估.结果表明:平均每年约有7.2个台风对中国造成明显灾情,最多的年份多达11个、最少年份也有4个.中国致灾台风的频数逐年减少,但造成的灾情却逐年趋重,因台风而伤亡的总人数逐年上升(死亡人数下降)、倒损房屋和受淹的农田面积以及造成的直接经济损失均逐年递增,倒损房屋、受淹的农田面积、直接经济损失的年平均增长率分别为1.33×10~4间/年、2.28×10~4 hm~2/年和14.56亿元/年.1980-2004年间,单个致灾台风而言,倒损房屋、受淹的农田面积、直接经济损失的平均增长率分别为581.4间/个、880.0 hm~2/个和0.33亿元/个.从台风灾害指数看,1990年代中期,中国的台风灾害较为严重,其中1996年最重,而1998年则是1980-2004年间台风灾害最轻的年份.     

1955-2005年中国稻田甲烷排放估算

 将稻田甲烷排放模型CH4MOD和GIS空间化数据库结合,模拟估计了中国大陆1955-2005年水稻生长季稻田甲烷排放量。结果表明：中国稻田甲烷排放总体呈增加趋势,1960年代、1970年代、1980年代和1990年代年均排放量分别为（3.18±0.53）、（4.71±0.27）、（5.22±0.24）和（5.79±0.34）Tg,2000-2005年平均排放量为（6.25±0.36） Tg。1960-1975年增加最快,速率为0.167 Tg/a;自1970年代中期开始增加速率减缓,为0.054 Tg/a。中国稻田甲烷排放高值区主要分布在湖南、湖北、江西、广东、广西、江苏和安徽省,约占全国稻田甲烷排放总量的73.2%。自1980年代初以来,东北三省稻田甲烷排放增加显著,这主要归因于该区水稻种植面积的迅速扩大。     

基于自动观测站的鲁中地区土壤水分变化规律及精细化预报模型的研究

为了建立鲁中地区土壤水分精细化预报模型,利用2010—2013年农田土壤水分自动站逐日资料进行土壤水分年、月变化特征研究,并结合附近自动气象站资料,以土壤水分平衡方程、农田蒸散模型为基础,采用逐步回归和曲线估计等方法建立4—6月无降水条件下平原水浇田与山旱田土壤水分1 d、7 d降幅的经验预报模型。结果表明:鲁中地区0~100 cm土壤水分贮存量年变化趋势和0~50 cm基本一致,年最高出现在8月,最低出现在6月,年降幅最大出现在3—6月,易出现干旱。对预报模型进行回代和预报检验结果显示,回代平均相对误差为0.07%,7 d模型和1 d模型滚动预报第7天0~50 cm土壤水分贮存量,绝对误差分别为-0.15和-2.17 mm,平均相对误差分别为-0.07%和-1.56%,模型具有较强的理论基础和实用性,预报精度较高,为鲁中地区土壤墒情监测和精细化预报提供支持。     

Soil Carbon Sequestration in India

With a large land area and diverse ecoregions, there is a considerable potential of terrestrial/soil carbon sequestration in India. Of the total land area of 329 million hectares (Mha), 297 Mha is the land area comprising 162 Mha of arable land, 69 Mha of forest and woodland, 11 Mha of permanent pasture, 8 Mha of permanent crops and 58 Mha is other land uses. Thesoil organic carbon (SOC) pool is estimated at 21 Pg (petagram = Pg = 1 ×10¹⁵ g= billion ton) to 30-cm depth and 63 Pg to 150-cm depth. The soil inorganic carbon (SIC) pool is estimated at 196 Pg to 1-m depth. The SOC concentration in most cultivated soils is less than 5 g/kg compared with 15 to 20 g/kg in uncultivated soils. Low SOC concentration is attributed to plowing, removal of crop residue and other biosolids, and mining of soil fertility. Accelerated soil erosion by water leads to emission of 6 Tg C/y. Important strategies of soil C sequestration include restoration of degraded soils, and adoption of recommended management practices (RMPs) of agricultural and forestry soils. Potential of soil C sequestration in India is estimated at 7 to 10 Tg C/y for restoration of degraded soils and ecosystems, 5 to 7 Tg C/y for erosion control, 6 to 7 Tg C/y for adoption of RMPs on agricultural soils, and 22 to 26 Tg C/y for secondary carbonates. Thus, total potential of soil C sequestration is 39 to 49 (44± 5) Tg C/y.     

Phytomass carbon pool of trees and forests in India

The study reports estimates of above ground phytomass carbon pools in Indian forests for 1992 and 2002 using two different methodologies. The first estimate was derived from remote sensing based forest area and crown density estimates, and growing stock data for 1992 and 2002 and the estimated pool size was in the range 2,626–3,071 Tg C (41 to 48 Mg C ha^???1) and 2,660–3,180 Tg C (39 to 47 Mg C ha^???1) for 1992 and 2002, respectively. The second methodology followed IPCC 2006 guidelines and using an initial 1992 pool of carbon, the carbon pool for 2002 was estimated to be in the range of 2,668–3,112 Tg C (39 to 46 Mg C ha^???1), accounting for biomass increment and removals for the period concerned. The estimated total biomass increment was about 458 Tg over the period 1992–2002. Removals from forests include mainly timber and fuel wood, whereby the latter includes large uncertainty as reported extraction is lower than actual consumption. For the purpose of this study, the annual extraction values of 23 million m³ for timber and 126 million m³ for fuel wood were used. Out of the total area, 10 million ha are plantation forests with an average productivity (3.2 Mg ha^???1 year^???1) that is higher than natural forests, a correction of 408 Tg C for the 10 year period was incorporated in total estimated phytomass carbon pool of Indian forests. This results in an estimate for the net sink of 4 Tg C year^???1. Both approaches indicate Indian forests to be sequestering carbon and both the estimates are in agreement with recent studies. A major uncertainty in Indian phytomass carbon pool dynamics is associated with trees outside forests and with soil organic carbon dynamics. Using recent remote-sensing based estimates of tree cover and growing stock outside forests, the estimated phytomass carbon pool for trees outside forests for the year 2002, is 934 Tg C with a national average tree carbon density of 4 Mg C ha^???1 in non-forest area, in contrast to an average density of 43 Mg C ha^???1 in forests. Future studies will have to consider dynamics in both trees outside forests and soil for total terrestrial carbon dynamics.     

Potential Soil C Sequestration on U.S. Agricultural Soils

Soil carbon sequestration has been suggested as a means to help mitigate atmospheric CO₂ increases, however there is limited knowledge aboutthe magnitude of the mitigation potential. Field studies across the U.S. provide information on soil C stock changes that result from changes in agricultural management. However, data from such studies are not readily extrapolated to changes at a national scale because soils, climate, and management regimes vary locally and regionally. We used a modified version of the Intergovernmental Panel on Climate Change (IPCC) soil organic C inventory method, together with the National Resources Inventory (NRI) and other data, to estimate agricultural soil C sequestration potential in the conterminous U.S. The IPCC method estimates soil C stock changes associated with changes in land use and/or land management practices. In the U.S., the NRI provides a detailed record of land use and management activities on agricultural land that can be used to implement the IPCC method. We analyzed potential soil C storage from increased adoption of no-till, decreased fallow operations, conversion of highly erodible land to grassland, and increased use of cover crops in annual cropping systems. The results represent potentials that do not explicitly consider the economic feasibility of proposed agricultural production changes, but provide an indication of the biophysical potential of soil C sequestration as a guide to policy makers. Our analysis suggests that U.S. cropland soils have the potential to increase sequestered soil C by an additional 60–70 Tg (10¹²g) C yr^{– 1}, over present rates of 17 Tg C yr^–1(estimated using the IPCC method), with widespread adoption of soil C sequestering management practices. Adoption of no-till on all currently annually cropped area (129Mha) would increase soil C sequestration by 47 Tg C yr^–1. Alternatively, use of no-till on 50% of annual cropland, with reduced tillage practices on the other 50%, would sequester less – about37 Tg C yr^–1. Elimination of summer fallow practices and conversionof highly erodible cropland to perennial grass cover could sequester around 20 and 28Tg C yr^–1, respectively. The soil C sequestration potentialfrom including a winter cover crop on annual cropping systems was estimated at 40Tg C yr^–1. All rates were estimated for a fifteen-yearprojection period, and annual rates of soil C accumulations would be expected to decrease substantially over longer time periods. The total sequestration potential we have estimated for the projection period (83 Tg C yr^–1) represents about 5% of 1999total U.S. CO₂ emissions or nearly double estimated CO₂ emissionsfrom agricultural production (43 Tg C yr^–1). For purposes ofstabilizing or reducing CO₂ emissions, e.g., by 7% of 1990 levels asoriginally called for in the Kyoto Protocol, total potential soil C sequestration would represent 15% of that reduction level from projected 2008 emissions(2008 total greenhouse gas emissions less 93% of 1990 greenhouse gasemissions). Thus, our analysis suggests that agricultural soil C sequestration could play a meaningful, but not predominant, role in helping mitigate greenhouse gas increases.     

Offsetting China's CO2 Emissions by Soil Carbon Sequestration

Fossil fuel emissions of carbon (C) in China in 2000 was about 1 Pg/yr, which may surpass that of the U.S. (1.84 Pg C) by 2020. Terrestrial C pool of China comprises about 35 to 60 Pg in the forest and 120 to 186 Pg in soils. Soil degradation is a major issue affecting 145 Mha by different degradative processes, of which 126 Mha are prone to accelerated soil erosion. Similar to world soils, agricultural soils of China have also lost 30 to 50% or more of the antecedent soil organic carbon (SOC) pool.Some of the depleted SOC pool can be re-sequestered through restoration of degraded soils, and adoption of recommended management practices. The latter include conversion of upland crops to multiple cropping and rice paddies, adoption of integrated nutrient management (INM) strategies, incorporation of cover crops in the rotations cycle and adoption of conservation-effective systems including conservation tillage. A crude estimated potential of soil C sequestration in China is 119 to 226 Tg C/y of SOC and 7 to 138 Tg C/y for soil inorganic carbon (SIC) up to 50 years. The total potential of soil C sequestration is about 12 Pg, and this potential can offset about 25%of the annual fossil fuel emissions in China.     

Carbon sequestration potential of parkland agroforestry in the Sahel

Establishing parkland agroforestry on currently treeless cropland in the West African Sahel may help mitigate climate change. To evaluate its potential, we used climatically suitable ranges for parklands for 19 climate scenarios, derived by ecological niche modeling, for estimating potential carbon stocks in parkland and treeless cropland. A biocarbon business model was used to evaluate profitability of hypothetical Terrestrial Carbon Projects (TCPs), across a range of farm sizes, farm numbers, carbon prices and benefit sharing mechanisms. Using climate analogues, we explored potential climate change trajectories for selected locations. If mature parklands covered their maximum range, carbon stocks in Sahelian productive land would be about 1,284?Tg, compared to 725?Tg in a treeless scenario. Due to slow increase rates of total system carbon by 0.4?Mg?C?ha^?1 a^?1, most TCPs at carbon prices that seem realistic today were not feasible, or required the participation of large numbers of farmers. For small farms, few TCP scenarios were feasible, and low Net Present Values for farmers made it unlikely that carbon payments would motivate many to participate in TCPs, unless additional benefits were provided. Climate analogue locations indicated an uncertain climate trajectory for the Sahel, but most scenarios projected increasing aridity and reduced suitability for parklands. The potentially severe impacts of climate change on Sahelian ecosystems and the uncertain profitability of TCPs make the Sahel highly risky for carbon investments. Given the likelihood of degrading environmental conditions, the search for appropriate adaptation strategies should take precedence over promoting mitigation activities.     

The Carbon Cycle of Sandy Lands in China and its GlobalSignificance

The quantitative C dynamics of desertifiedlands in Northern China were predicted for the years2000 and 2030, based on the areas and conversion rates(positive and negative) of desertified lands in thepast forty years and organic carbon contents of soils.The top 1.0 m soil layer of natural desertified landsin China contained some 7,841 Tg of organic carbon asof 1992. In China, over the last 40 years, a total of2,812 Tg of organic carbon was released from desertlands and, in the reverse process about 644 Tg oforganic-C were fixed into lands undergoingdesertification. Thus, China's desert lands have showna net release of 2,168 Tg of organic-C over the past40 years, equivalent to 7,949 Tg of CO₂. By theyear 2000, the area of desertified lands in China hadincreased 40,300 km² and released 368 Tg oforganic-C into the atmosphere. By 2030 this area willincrease to 249,700 km² and release about 1,996 Tg of organic-Cinto the atmosphere. Net releases of151 Tg and 1,243 Tg of organic-C can be expectedby the year 2000 and 2030, respectively. This wouldbe equivalent to a net release of 553 Tg of CO₂by 2000 and 4,558 Tg by 2030. Thus, the organiccarbon released through land desertification in Chinacould be an important factor affecting changes inconcentrations of greenhouse gases worldwide.     

Forage Yield-Based Carbon Storage in Grasslands of China

Forage yield-based carbon storage in 18 grasslands of China was estimated according to the detailed investigation of grassland area and forage yield (standing crop), which were derived from a 10-year national grassland survey. The total forage yield carbon in Chinese grasslands is 134.09 Tg C for ca. 299 × 10⁶ ha of grassland area and 1232 kg/ha of mean forage yield. The carbon storage is different depending on grassland types and climatic regions. Meadow, steppe and tussock occupy 93.3% (125.14 Tg C), and desert and swamp only accounts for 6.7% (8.95 Tg C) of total forage yield carbon. Forage yield carbon is stored largely in temperate (38.4%, 51.54 Tg C) and alpine regions (30.4%, 40.78 Tg C), and to less extent in tropical regions (22.1%, 29.66 Tg C). These three regions take 91% of the forage yield carbon in grasslands of China. The warm-temperate region accounts for only 9% (12.1 Tg C) of forage yields carbon. The forage yield-based carbon in grasslands of China is more accurate than the site biomass-based carbon estimate and the carbon density-based estimate. Although, forage yield carbon storage is small compared with the total carbon storage in China, carbon budgets of grasslands are often a dominant component in many regions and provide an important management opportunity to enhance terrestrial carbon sinks in vast areas of China.     

Land cover change and soil organic carbon stocks in the Republic of Ireland 1851–2000

Using both historic records and CORINE land cover maps, we assessed the impact of land cover change on the stock of soil organic carbon (SOC) in the Republic of Ireland from 1851 to 2000. We identified ten principal land cover classes: arable land, forest, grassland, heterogeneous agricultural areas/other, nonvegetated semi-natural areas, peatland, suburban, urban, water bodies, and wetland. For each land cover class, the SOC stock was estimated as the product of SOC density and land cover area. These were summed to calculate a national SOC budget for the Republic of Ireland. The Republic of Ireland’s 6.94 million hectares of land have undergone considerable change over the past 150 years. The most striking feature is the decrease in arable land from 1.44 million ha in 1851 to 0.55 million ha in 2000. Over the same time period, forested land increased by 0.53 million ha. As of 2000, agricultural lands including arable land (7.85%), grassland (54.33%), and the heterogeneous agricultural areas/other class (7.91%) account for 70.09% of Irish land cover. We estimate that the SOC stock in the Republic of Ireland, to 1 m depth, has increased from 1,391 Tg in 1851 to 1,469 Tg in 2000 despite soil loss due to urbanization. This increase is largely due to the increase of forested land with its higher SOC stocks when compared to agricultural lands. Peatlands contain a disproportionate quantity of the SOC stock. Although peatlands only occupy 17.36% of the land area, as of 2000, they represented 36% of the SOC stock (to 1 m depth).     

Summary of Recent Climate Change Studies on the Carbon and Nitrogen Cycles in the Terrestrial Ecosystem and Ocean in China

This article reviews recent advances over the past 4 years in the study of the carbon-nitrogen cycling and their relationship to climate change in China. The net carbon sink in the Chinese terrestrial ecosystem was 0.19-0.26 Pg C yr-1 for the 1980s and 1990s. Both natural wetlands and the rice-paddy regions emitted 1.76 Tg and 6.62 Tg of CH 4 per year for the periods 1995-2004 and 2005-2009, respectively. China emitted～1.1 Tg N 2 O-N yr-1 to the atmosphere in 2004. Land soil contained～8.3 Pg N. The excess nitrogen stored in farmland of the Yangtze River basin reached 1.51 Tg N and 2.67 Tg N in 1980 and 1990, respectively. The outer Yangtze Estuary served as a moderate or significant sink of atmospheric CO 2 except in autumn. Phytoplankton could take up carbon at a rate of 6.4 ×10 11 kg yr-1 in the China Sea. The global ocean absorbed anthropogenic CO 2 at the rates of 1.64 and 1.73 Pg C yr-1 for two simulations in the 1990s. Land net ecosystem production in China would increase until the mid-21st century then would decrease gradually under future climate change scenarios. This research should be strengthened in the future, including collection of more observation data, measurement of the soil organic carbon (SOC) loss and sequestration, evaluation of changes in SOC in deep soil layers, and the impacts of grassland management, carbon-nitrogen coupled effects, and development and improvement of various component models and of the coupled carbon cycle-climate model.