Modeling effects of temperature and precipitation on carbon characteristics and GHGs emissions in Abies fabric forest of subaipine

Abies fabric forest in the eastern slope of Gongga mountain is one type of subalpine dark coniferous forests of southwestern China. It is located on the southeastern edge of the Qinghai-Tibet plateau and is sensitive to climatic changes. A process-oriented biogeochemical model, Forest-DNDC, was applied to simulate the effects of climatic factors, temperature and precipitation changes on carbon characteristics, and greenhouse gases （GHGs） emissions in A. fabric forest. Validation indicated that the Forest-DNDC could be used to predict carbon characteristics and GHGs emissions with reasonable accuracy. The model simulated carbon fluxes, soil carbon dynamics, soil CO2, N2O, and NO emissions with the changes of temperature and precipitation conditions. The results showed that with variation in the baseline temperature from -2℃ to ＋2℃, the gross primary production （GPP） and soil organic carbon （SOC） increased, and the net primary production （NPP） and net ecosystem production （NEP） decreased because of higher respiration rate. With increasing baseline precipitation the GPP and NPP increased slightly, and the NEP and SOC showed decreasing trend. Soil CO2 emissions increased with the increase of temperature, and CO2 emissions changed little with increased baseline precipitation. With increased temperature and decreased baseline temperature, the total annual soil N2O emissions increased. With the variation of baseline temperature from -2℃ to ＋2℃, the total annual soil NO emissions increased. The total annual N2O and NO emissions showed increasing trends with the increase of precipitation. The biogeochemical simulation of the typical forest indicated that temperature changes strongly affected carbon fluxes, soil carbon dynamics, and soil GHGs emissions. The precipitation was not a principal factor affecting carbon fluxes, soil carbon dynamics, and soil CO2 emissions, but changes in precipitation could exert strong effect on soil N2O and NO emissions.     

四川桤柏混交林土壤N2O排放的实测与模拟

采用静态箱-气相色谱法对川中丘陵区桤柏混交林土壤N2O排放进行了连续两年的测定.通过与Forest-DNDC模型模拟进行对比分析,结果表明,模型能够较好地模拟林地土壤N2O排放.2005和2006年模型模拟的土壤N2O年平均排放速率为15.02,14.03mg/(m2×h),分别为实际观测值的85.7%和87.5%.2005和2006年的实际观测值与模型模拟值之间差异均不显著(P>0.05),模拟有效系数分别为0.56和0.51.以2005年降雨量和气温为基准利用模型进行情景分析,结果表明,本地区降雨量在±30%范围内变化时,林地土壤N2O排放量的变化幅度不超过25%;气温在±3℃范围内变化时,林地土壤N2O排放量的变化幅度不超过10%.     

单次降水对高寒草地温室气体通量昼夜变化的影响研究

在全球变化背景下,青藏高原降水格局发生改变,并影响高寒草地温室气体排放.为了更好地认识降水变化与高寒草地温室气体排放的关系,在2015年7月24日,通过人工降水6.7 mm,研究了单次降水对高寒草地温室气体昼夜变化的影响.表明:(1)单次降水没有改变土壤温度,但显著增加了土壤湿度;(2)单次降水后24小时内,高寒草地CH4吸收量降低了2.46倍,CO2和N2 O排放量分别提高15.3%和98.9%;(3)单次降水弱化了高寒草地CH4和N2 O排放量与土壤温度的关系.     

喀斯特常绿与落叶阔叶混交林过去50年来的碳循环模拟

通过对Forest-DNDC模型的植被和土壤参数本地化校准,以气象插值数据为输入,模拟了贵州省普定县高原型喀斯特次生常绿与落叶阔叶混交林1965~2014年的土壤、植被和生态系统碳循环特征。结果表明,与冷模拟和实测值相比,参数本地化校准后的模型能更准确地模拟春、秋、冬3个季节的土壤呼吸动态,而模拟的夏季土壤呼吸偏小;但统计检验指出,参数修订后的Forest-DNDC模型能够较好地模拟喀斯特森林土壤呼吸,降低了模拟误差,可用于喀斯特常绿与落叶阔叶混交林碳动态的模拟。进一步分析发现,1965~2014年喀斯特森林的碳通量除模拟早期的前3~4年急剧增加之外,随后总初级生产力(GPP)保持相对稳定,植物呼吸(Rplant)和生态系统呼吸(R_(ecosystem))随着森林发育而增加,土壤呼吸(R_(soil))减少,植被净初级生产力(NPP)呈迅速减小趋势;净生态系统碳交换量(NEE)亦较迅速下降,在2013年达到最低值-0.17 t C/ha,喀斯特森林由碳汇变为弱碳源。相关分析表明,年均温度和年降水对喀斯特常绿与落叶阔叶混交林的GPP和R_(soil)没有显著影响,但却显著影响NPP、R_(plant)、R_(ecosystem)和NEE。     

Effects of temperature change and tree species composition on N2O and NO emissions in acidic forest soils of subtropical China

Tree species and temperature change arising from seasonal variation or global warming are two important factors influencing N2O and NO emissions from forest soils. However, few studies have examined the effects of temperatures(5–35℃) on the emissions of forest soil N2O and NO in typical subtropical region. A short-term laboratory experiment was carried out to investigate the influence of temperature changes(5–35℃) on soil N2O and NO emissions under aerobic conditions in two contrasting(broad-leaved and coniferous) subtropical acidic forest types in China. The results showed that the temporal pattern of N2O and NO emissions between the three lower temperatures(5℃, 15℃, and 25℃) and 35℃ was significantly different for both broad-leaved and coniferous forest soils. The effects of temperature on soil N2O and NO emission rates varied between broad-leaved and coniferous forest soils. Both N2O and NO emissions increased exponentially with an increase in temperature in the broad-leaved forest soil. However, N2O and NO emissions in the coniferous forest soil were not sensitive to temperature change between 5℃ and 25℃. N2O and NO emission rates were significantly higher in the broad-leaved forest soil as compared with the coniferous forest soil at all incubation temperatures except 5℃. These results suggest that the broad-leaved forest could contribute more N2O and NO emissions than the coniferous forest for most of the year in the subtropical region of China.     

南京典型水体春季温室气体排放特征研究

利用静态箱-气相色谱法对南京4条河流(内秦淮河、外秦淮河、金川河、团结河)和1座水库(丁解水库)的春季水-气界面CO2、CH4、N2O 3种温室气体通量进行包括昼夜变化的持续观测,对其变化趋势及影响因素加以分析.结果表明,春季团结河CO2和CH4的排放量最大,分别为1023.34,89.45mg/(m2·h),金川河两种气体排放量次之,内、外秦淮河CO2排放量相当,而内秦淮CH4的排放量比外秦淮小1个量级.丁解水库该2种温室气体排放量最小.金川河N2O的排放量最高,为151.31μg/(m2·h),团结河N2O排放量次之[111.74μg/(m2·h)],其他2条河流和丁解水库N2O的排放量均在一个量级上(101).水-气界面温室气体的排放受温度、压力、风速等环境因子影响.温室气体的昼夜变化分析结果表明,除了金川河N2O的排放趋势为昼间排放、夜间吸收外,其余河流及丁解水库均为温室气体的排放源.内秦淮和丁解水库的排放趋势受人为因素影响较大,外秦淮河的排放趋势主要受水位的高低变化影响,团结河的排放量受风速和温度的共同影响.金川河主要受微生物活性影响3种温室气体均呈明显的昼夜变化.5种水体在春季是大气3种温室气体的主要排放源.     

季节性冻融期沼泽湿地CO2、CH4和N2O排放动态

三江平原季节性冻-融时间长达7～8个月,对沼泽湿地温室气体排放有重要影响.采用静态箱/气相色谱法研究了三江平原冻、融期沼泽湿地温室气体排放特征,表明三江平原不同类型沼泽湿地冬季都有明显的CH₄和CO₂排放,且冬季沼泽湿地CH₄排放量在全年CH₄排放中占有重要份额.融冻期沼泽湿地出现明显的CH₄和CO₂排放峰值,季节性积水沼泽化草甸CH₄和CO₂排放量大于常年积水沼泽湿地,而冬季常年积水沼泽湿地CH₄排放通量大于季节性积水沼泽化草甸.融冻期CO₂排放通量与土壤温度(5cm)呈指数相关关系(R²=0.912,p<0.001),沼泽湿地CO₂排放通量与CH₄通量间也呈显著正相关关系(R²=0.751,p<0.001).冬季三江平原沼泽湿地是N₂O的汇,融冻期随着土壤温度升高逐渐成为N₂O的源,且在5月份沼泽湿地表层土壤(0～20cm)融冻期间N₂O排放通量明显增大.三江平原土壤冻、融期间沼泽湿地温室气体的排放特征,反映了冬季微生物活性的存在及融冻作用对土壤碳矿化和氮硝化、反硝化作用有重要影响.     

农垦对草甸草原生态系统温室气体(CH4和N2O)的影响

2012~2013年在呼伦贝尔谢尔塔拉牧场对天然草甸草地和草地开垦农田后,不同农作物种植和管理措施下甲烷(CH4)和氧化亚氮(N2O)排放进行了野外实地观测.结果表明,天然草甸草地和农田均为大气CH4的吸收汇、N2O的排放源.在生长季,天然草甸草地开垦增强了土壤的N2O排放量,但是对土壤CH4通量的影响却存在较大的不确定性.在相同的气象条件下,作物类型对生长季农田CH4和N2O排放通量都没有影响.在生长季,灌溉对干旱农田的CH4平均吸收通量没有显著影响,但降低了干旱农田N2O的平均排放通量.2012年和2013年农田CH4和N2O的差异主要是因为降雨量不同导致的年际差异.回归分析表明,N2O排放通量与土壤湿度呈线性相关,与土壤温度没有相关性,CH4的吸收通量与土壤温度呈线性相关,与土壤湿度呈线性负相关.土壤湿度是影响土壤CH4吸收和N2O排放的主要因素.     

同步硝化反硝化过程中污染物的去除及温室气体的释放

采用缺氧-好氧SBR反应器,研究了同步硝化反硝化(SND)工艺污水生物脱氮过程中污染物去除效果和温室气体(N2O,CH4和CO2)的释放情况.结果表明,与顺序式硝化反硝化工艺(SQND)的总氮去除率63.78%相比,SND大大地提高了总氮的去除,去除率达90.39%.同时,SND过程刺激了温室气体的释放,其温室气体释放总量为SQND的4.5倍.SND反应器N2O每周期释放量为34.28 mg,且主要集中于曝气阶段.而SQND过程N2O释放量仅为6.89mg,为SND过程的1/5.SND过程和SQND过程,每周期CO2的释放量分别为493.52,320.28mg.两反应器中CH4的释放量都很低,接近于零.     

Greenhouse gas emissions along a peat swamp forest degradation gradient in the Peruvian Amazon: soil moisture and palm roots effects

Tropical peatlands in the Peruvian Amazon exhibit high densities of Mauritia flexuosa palms, which are often cut instead of being climbed for collecting their fruits. This is an important type of forest degradation in the region that could lead to changes in the structure and composition of the forest, quality and quantity of inputs to the peat, soil properties, and greenhouse gas (GHG) fluxes. We studied peat and litterfall characteristics along a forest degradation gradient that included an intact site, a moderately degraded site, and a heavily degraded site. To understand underlying factors driving GHG emissions, we examined the response of in vitro soil microbial GHG emissions to soil moisture variation, and we tested the potential of pneumatophores to conduct GHGs in situ. The soil phosphorus and carbon content and carbon-to-nitrogen ratio as well as the litterfall nitrogen content and carbon-to-nitrogen ratio were significantly affected by forest degradation. Soils from the degraded sites consistently produced more carbon dioxide (CO₂) than soils from the intact site during in vitro incubations. The response of CO₂ production to changes in water-filled pore space (WFPS) followed a cubic polynomial relationship with maxima at 60–70% at the three sites. Methane (CH₄) was produced in limited amounts and exclusively under water-saturated conditions. There was no significant response of nitrous oxide (N₂O) emissions to WFPS variation. Lastly, the density of pneumatophore decreased drastically as the result of forest degradation and was positively correlated to in situ CH₄ emissions. We conclude that recurrent M. flexuosa harvesting could result in a significant increase of in situ CO₂ fluxes and a simultaneous decrease in CH₄ emissions via pneumatophores. These changes might alter long-term carbon and GHG balances of the peat, and the role of these ecosystems for climate change mitigation, which stresses the need for their protection.

     

Fluxes of CH4 and N2O from soil under a tropical seasonal rain forest in Xishuangbanna, Southwest China

CH4 and N2O fluxes from soil under a tropical seasonal rain forest in Xishuangbanna, Southwest China were measured for one year using closed static chamber technique and gas chromatography method. Three treatments were set in the studied field: (A) litter-free,(B) with litter, and (C) with litter and seedling. The results showed that the soil in our study was a sink of atmospheric CH4 and source of atmospheric N2O. The observed mean CH4 fluxes from treatments A, B, and C were -50.0±4.0, -35.9±2.8,-31.6±2.8 μgC/(m2·h),respectively,and calculated annual fluxes in2003 were -4.1,-3.1,and -2.9kgC/hm2,respectively.The observed mean N2O fluxes from treatments A,B,and C were 30.9±3.1,28.2±3.5,50.2±3.7μgN/(m2·h),respectively,and calculated annual fluxes in 2003 were 2.8, 2.6, and 3.7 kgN/hm2, respectively. Seasonal variations in CH4 and N2O fluxes were significant among all the three treatments. The presence of litter decreased CH4 uptake during wet season (P ＜ 0.05), but not during dry season. There was a similar increase in seedlings-mediated N2O emissions during wet and dry seasons, indicating that seedlings increased N2O emission in both seasons. A strong positive relationship existed between CH4 fluxes and soil moisture for all the three treatments, and weak relationship between CH4 fluxes and soil temperature for treatment B and treatment C. The N2O fluxes correlated with soil temperature for all the three treatments.     

鼎湖山主要森林生态系统地表N_2O通量

利用静态箱-气相色谱法对鼎湖山3 种处于演替不同阶段的森林类型(季风常绿阔叶林、针阔叶混交林和马尾松林)的地表N2O 通量进行了 1 年的原位观测和研究.结果表明,3 种林型地表 N2O 通量按从大到小的顺序为:季风林>混交林>松林;不同林型间的 N2O 通量差异与森林土壤的性质有密切关系,C/N 比值较低的季风林凋落叶对土壤中产生N2O 的微生物过程有较为明显的促进作用;从全年来看,松林地表N2O 通量的季节变化不明显,而季风林和混交林的地表 N2O 通量在雨季存在明显的降雨驱动效应,统计分析显示在该地区影响森林地表N2O 通量的主要因子是土壤湿度.     

淡水沼泽湿地CO2、CH4和N2O排放通量年际变化及其对氮输入的响应

利用静态暗箱-气相色谱法自2002～2004年连续3a观测了三江平原淡水沼泽湿地CO₂、CH₄和N₂O 3种主要温室气体排放特征及外源氮素输入条件下温室气体通量的变化.结果表明,三江平原CO₂、CH₄和N₂O 3种主要温室气体排放具有明显的季节及年际变化规律.其中生态系统呼吸CO₂排放的最大值[779.33～965.40 mg·(m·h)^-1]出现在7、8月份,CH4通量最大值[19.19～30.52 mg·(m·h)^-1]出现在8月,N₂O通量最大值[0.072～0.15 mg·(m·h)^-1]出现在5月和9月,3种温室气体通量最小值CO₂为2.36～18.73 mg·(m·h)^-1;CH₄为-0.35～0.59 mg·(m·h)^-1;N₂O为-0.032～-0.009 mg·(m·h)^-1大都出现在冬季,且冬季淡水沼泽湿地表现为N2O的吸收.对气候因子的分析发现,温度条件是影响淡水沼泽湿地温室气体排放通量季节性变化的主要因子,而降水和积水水位变化是影响其排放年际变化的关键因素,特别是降水对CH₄排放通量的影响较其它2种温室气体更显著,且冬季雪融水对夏季CH₄的排放起重要作用.CO₂和CH4排放与土壤温度(5cm)呈显著的指数相关关系,而N₂O排放通量与土壤温度和水深相关性不显著.氮输入促进了三江平原CO₂、CH₄和N₂O 3种主要温室气体的排放,与对照处理相比,其排放通量分别升高了34%,145%和110%.     

冻融对内蒙古温带贝加尔针茅草甸草原N2O通量的影响

本研究以内蒙古呼伦贝尔草甸草原为研究对象,通过室内模拟实验与野外观测实验相结合,分析不同土层、放牧与封育、长期与短期冻融、不同冻融频率与冻融温差强度对草地土壤N2O产生与排放的影响.结果表明:冻融期间,从地表到下层15cm土壤N2O的产生速率随深度的增加而逐渐减少,N2O的产生主要来源于0~9cm的表层土壤;冻融期间温差相同的情况下,冻融次数越多,N2O的产生速率越小;N2O的产生速率随着温差的变小而减少;冻融期间封育样地的N2O排放量大于放牧样地,且封育样地的N2O排放量占全年排放总量的25.09%,大于放牧样地(12.38%),但从观测年排放总量看,放牧却促进了草地N2O源的功能;草地春融期间的N2O排放量是整个冻融期N2O排放量的最大贡献者.     

Greenhouse gases fluxes and soil thermal properties in a pasture in central Missouri

Fluctuations of greenhouse gases emissions and soil properties occur at short spatial and temporal scales, however, results are often reported for larger scales studies. We monitored CO2, CH4, and N2O fluxes and soil temperature (T), thermal conductivity (K), resistivity (R) and thermal di usivity (D) from 2004 to 2006 in a pasture. Soil air samples for determination of CO2, CH4 and N2O concentrations were collected from static and vented chambers and analyzed within two hours of collection with a gas chromatograph. T, K, R and D were measured in-situ using a KD2 probe. Soil samples were also taken for measurements of soil chemical and physical properties. The pasture acted as a sink in 2004, a source in 2005 and again a sink of CH4 in 2006. CO2 and CH4 were highest, but N2O as well as T, K and D were lowest in 2004. Only K was correlated with CO2 in 2004 while T correlated with both N2O (r = 0.76, p = 0.0001) and CO2 (r = 0.88, p = 0.0001) in 2005. In 2006, all gases fluxes were significantly correlated with T, K and R when the data for the entire year were considered. However, an in-depth examination of the data revealed the existence of month-to-month shifts, lack of correlation and di ering spatial structures. These results stress the need for further studies on the relationship between soil properties and gases fluxes. K and R o er a promise as potential controlling factors for greenhouse gases fluxes in this pasture.     

Biosphere–atmosphere exchange of reactive nitrogen and greenhouse gases at the NitroEurope core flux measurement sites: Measurement strategy and first data sets

The NitroEurope project aims to improve understanding of the nitrogen (N) cycle at the continental scale and quantify the major fluxes of reactive N by a combination of reactive N measurements and modelling activities. As part of the overall measurement strategy, a network of 13 flux ‘super sites’ (Level-3) has been established, covering European forest, arable, grassland and wetland sites, with the objective of quantifying the N budget at a high spatial resolution and temporal frequency for 4.5 years, and to estimate greenhouse gas budgets (N₂O, CH₄ and CO₂). These sites are supported by a network of low-cost flux measurements (Level-2, 9 sites) and a network to infer reactive N fluxes at 58 sites (Level-1), for comparison with carbon (C) flux measurements.Measurements at the Level-3 sites include high resolution N₂O, NO (also CH₄, CO₂) fluxes, wet and dry N deposition, leaching of N and C and N transformations in plant, litter and soil. Results for the first 11 months (1.8.2006 to 30.6.2007) suggest that the grasslands are the largest source of N₂O, that forests are the largest source of NO and sink of CH₄ and that N deposition rates influence NO and N₂O fluxes in non-agricultural ecosystems. The NO and N₂O emission ratio is influenced by soil type and precipitation. First budgets of reactive N entering and leaving the ecosystem and of net greenhouse gas exchange are outlined. Further information on rates of denitrification to N₂ and biological N₂ fixation is required to complete the N budgets for some sites. The quantitative roles played by CO₂, N₂O and CH₄ in defining net greenhouse gas exchange differ widely between ecosystems depending on the interactions of climate, soil type, land use and management.     

未来气候变化对旱田生态系统N2O释放的潜在影响

反硝化-分解作用模型（DNDC）能较好地拟合贵州省玉米—油菜轮作田、大豆—冬小麦轮作田和休耕地的N2O释放通量及其影响因子季节变化模式，采用DNDC模型定量探讨了未来气温、降雨量和降雨中无机N浓度变化对亚热带旱田生态系统N2O释放的潜在影啊．结果表明，除大亚外，其它作物和休耕地土壤N2O释放通量对气温变化接近于正响应；玉米地、大豆地和体耕地（对应于玉米生长期）土壤N2O释放通量对降雨量的变化也接近于正响应；降雨中无机氮浓度的变化对3块实验田NO2释放通量影响最大．     

Nitrous oxide fluxes from upland soils in central Hokkaido, Japan

Nitrous oxide (N2O) fluxes from soils were measured using the closed chamber method during the snow-free seasons (middle April to early November),for three years,in a total of 11 upland crop fields in central Hokkaido,Japan.The annual mean N2O fluxes ranged from 2.95 to 164.17 μgN/(m2·h),with the lowest observed in a grassland and the highest in an onion field.The instantaneous N2O fluxes showed a large temporal variation with peak emissions generally occurring following fertilization and heavy rainfall eve...     

不同有机物料对土壤N2O排放的影响与调控

通过向土壤施加15N标记的莴笋残体(处理R)、废纸浆(处理P)及二者混合物(处理RP),并利用不同的压力使其成为3种不同容重处理的土壤样本,进行密闭培养,定时测定土壤N2O排放量及土壤溶液中NO3-与NH4 的动态变化,以探讨N_2O的产生与调控机制.结果表明,8d N2O释放量为R处理最大,RP处理其次,P处理最小.短期内(8d)R处理N2O释放最大量为空白对照(CK)的15倍,增加了土壤反硝化作用;P处理在同期内不能增加N2O释放量,证明这种废纸浆可少量(<2.5%)施用于农田中.RP与CK、P处理比较,可以刺激微生物活性和增加土壤反硝化作用;与R处理相比较,可以增加氮的固定.增加有机质的添加量使同一容重水平的RP处理N2O释放量高于R处理.70%的土壤样本随容重增加N2O释放量增加.土壤容重的增加同时影响了废纸浆的分解速率和土壤溶液中NO3-与NH4 浓度.     

Surface-exchange of NOx and NH3 above a winter wheat field in the Yangtze Delta, China

Introduction N itrogen oxides (N O x=N O N O 2) in the troposphere are m ainly derived from fuel com bustion, soil-biogenic em issions, biom ass burning, and lightning (Finlayson-Pitts et al., 1986; H am eed and D ignon, 1988; Levy et al., 1989; Logan, 1…