4种温带森林非生长季土壤二氧化碳、甲烷和氧化亚氮通量

中高纬度森林土壤在漫长的非生长季中对重要温室气体——二氧化碳(CO2)、甲烷(CH4)和氧化亚氮(N2O)的释放或吸收在碳氮年收支中作用很大,但目前研究甚少。采用静态暗箱-气相色谱法,比较研究东北东部4种典型温带森林土壤表面CO2、CH4和N2O通量在非生长季中的时间动态及其影响因子。结果表明:4种森林土壤在非生长季中整体上均表现为CO2源、N2O源和CH4汇的功能。红松林、落叶松林、蒙古栎林、硬阔叶林的非生长季平均土壤表面CO2通量分别为(65.5±8.1)mgm-2h-1(平均值±标准差)、(70.5±10.2)mgm-2h-1、(77.1±8.0)mgm-2h-1、(80.5±23.5)mgm-2h-1;CH4通量分别为(-17.2±4.6)μgm-2h-1、(-15.4±4.2)μgm-2h-1、(-31.5±4.5)μgm-2h-1、(-23.6±4.1)μgm-2h-1;N2O通量分别为(19.3±5.1)μgm-2h-1、(11.5±2.5)μgm-2h-1、(16.4±4.0)μgm-2h-1、(14.4±5.4)μgm-2h-1;其中非生长季土壤表面CO2总排放量分别为143.4gm-2、162.8gm-2、189.9gm-2、252.7gm-2,分别占其年通量的7.3%、10.6%、8.4%和8.5%。所有林型非生长季土壤表面CO2通量在春季土壤解冻前均维持在较低水平;在解冻进程中随温度升高而增大。土壤表面CO2通量与5cm深土壤温度(T5)呈极显著的指数函数关系。在隆冬时节出现CH4净释放现象,但释放强度及其出现时间因林型而异,其中以红松林的释放强度较大,高达43.6μgm-2h-1。土壤表面CH4通量与T5呈显著的负相关。土壤表面N2O通量的时间动态格局在林型间的分异较大,但在春季土壤解冻阶段均释放出N2O,而释放峰值和出现时间因林型而异。土壤表面N2O通量与0—10cm深土壤含水量呈显著的正相关(红松林除外)。研究展示了不同温带森林类型的土壤水热条件对其非生长季土壤CO2、CH4和N2O通量的重要影响,但这3种温室气体的林型间分异的生物学机理尚需进一步研究。     

寒温带兴安落叶松林土壤温室气体通量的时间变异

采用静态箱/气相色谱(GC)法,对寒温带兴安落叶松林区6-9月生长季土壤CO2、CH4和N2O通量进行原位测定,研究了土壤温室气体通量的季节和昼夜变化及其与环境因子的关系.结果表明:在生长季,兴安落叶松林土壤为大气CH4的汇,吸收通量为22.3～107.8 μg CH4-C·m-2·h-1,6-9月月均甲烷吸收通量为(34.0±7.1)、(71.4±9.4)、(86.3±7.9)和(40.7-±6.2) μg·m-2·h-1;不同季节土壤CH4昼夜通量的变化规律相同,一天中均在10:00达到最大吸收高峰.土壤CO2日通量呈明显的双峰曲线,月均CO2通量大小顺序为7月＞8月＞6月＞9月.土壤N2O通量变异较大,在-9.1 ～31.7μg·m-2·h-1之间.土壤温度和湿度是影响CO2和CH4通量的重要因子,N2O通量主要受温度的影响.在兴安落叶松林区,10:00左右观测获得的温室气体地-气交换通量,经矫正后可以代表当日气体通量.     

青藏高原高寒草甸非生长季温室气体排放特征及其年度贡献

高寒草甸是青藏高原地区的主要植被类型,目前对其温室气体研究多集中于生长季.本文利用静态箱-气相色谱法,对非生长季高寒草甸温室气体排放特征及其与主要环境因子的关系进行了研究.结果表明:非生长季高寒草甸表现为CO2和N2O的源、CH4的汇.其中非生长季CO2通量平均值为89.33 mg·m-2·h-1,累积排放通量为280.01g· m-2;CH4通量平均值为-11.35 μg·m-2·h-1,累积吸收通量为124.74 mg·m-2;N2O通量平均值为8.02 μg·m-2·h-1,累积排放通量为39.51 mg·m-2.非生长季CO2、CH4和N2O累积排放通量分别占全年的13.33％、53.47％和62.67％.冻融期(2012年4月)CH4累积吸收通量较小,只占非生长季的4.5％;而CO2和N2O累积排放通量较大,分别占非生长季的25.8％和20.8％.非生长季CO2通量与温度(气温、5和10 cm土壤温度)和5 cm土壤湿度均存在显著正相关关系,而CH4和N2O通量仅与5 cm土壤湿度存在显著正相关.研究表明,虽然冻融期CH4累积吸收通量在非生长季累积量中比重较小,但非生长季CH4和N2O累积排放量却占全年累积排放量的1/2以上,在温室气体累积通量评估中不容忽视.     

长白山四种林分土壤CO2释放通量的研究

对长白山地区 4种典型林分下土壤释放CO2 通量的研究表明 ,在较短的时间尺度上 ,4种林型在CO2 释放通量上有显著的差别 ,各林型CO2 通量的释放表现出明显的空间异质性 ,其释放顺序为 :山杨白桦混交林 >原始阔叶红松林 >白桦林 >山杨林 ,其中山杨白桦混交林对CO2 释放的贡献最大 ,而山杨林最小。 4种林分土壤CO2 通量的全日变化过程并不一致 ,除山杨白桦混交林和气温有较一致性的规律 ,呈较明显的单峰型外 ,其余并无明显的变化规律。凋落物对林地CO2 释放通量的变化有显著的影响 ,有凋落物覆盖的林地土壤CO2 释放量明显大于无凋落物覆盖的林地 ,其平均通量为 2 6 2 86～ 5 5 6 5 5mgC·m-2 ·h-1,而无凋落物覆盖林地土壤CO2 的平均通量为 2 0 5 85～ 395 6 9mg·m-2 ·h-1。凋落物排放CO2 量占林地总排放量的14 %～ 30 % ,并且改变了林地CO2 释放通量大小的排序。     

施氮对桉树人工林生长季和非生长季土壤温室气体通量的影响

森林在调控温室气体排放方面有重要作用,随着人工林的迅速发展,其温室气体通量和对施肥的响应逐渐引起广泛关注。为了解施氮对桉树人工林生长季和非生长季土壤温室气体通量的影响,在广西东门林场尾巨桉人工林样地设置低(84.2 kg N·hm-2)、中(166.8 kg N·hm-2)、高(333.7 kg N·hm-2)3个施氮水平和不施氮对照,采用静态箱-气相色谱法监测土壤CO2、N2O和CH4通量。结果表明:(1)不同施氮处理的桉树人工林土壤CO2、CH4和N2O年均排放通量分别为214~271 mg CO2·m-2·h-1、-47~-37 kg CH4·m-2·h-1和16~203 kg N2O·m-2·h-1;土壤CO2排放通量在生长季高于非生长季,CH4和N2O通量未表现出明显季节变化。(2)施氮显著增加了土壤CO2和N2O年均排放通量,其促进效应主要集中在生长季(施氮后的4个月,即6—9月),且随时间增加,效应减弱。(3)施氮显著降低了土壤CH4年均吸收通量。因此,在维持桉树人工林生产力的基础上,结合季节变化,合理调控施氮量将有助于减少桉树林土壤温室气体排放。     

新疆天山高寒草原不同放牧管理下的CO_2,CH_4和N_2O通量特征

以中国科学院新疆巴音布鲁克草原生态站为依托,于2010年5月—2011年10月利用静态箱-气相色谱法对短期禁牧(2005年围封)、长期禁牧(1984年围封)和自由放牧(冬季放牧)3种草地的CO2、CH4、N2O气体通量进行了野外连续试验研究。结果表明:新疆天山高寒草原对CO2,CH4和N2O通量表现出明显的季节排放特点。在植物的生长季(5—10月),新疆天山高寒短期禁牧、长期禁牧和自由放牧草原的CO2通量平均值分别为:(89.8±49.3)、(52.8±28.7)、(57.0±30.7)mg·m-2·h-1,CH4通量平均值分别为:(-66.3±21.3)、(-104.5±32.8)、(-103.0±39.0)μg·m-2·h-1,N2O通量平均值分别为:(21.2±11.8)、(13.6±6.9)、(13.2±6.2)μg·m-2·h-1;短期禁牧草原与长期禁牧和自由放牧草原CH4平均通量具有显著性差异(P0.05),但CO2和N2O差异不显著(P0.05)。在植物的非生长季(11月—翌年4月),新疆天山高寒短期禁牧、长期禁牧以及自由放牧草原的3种温室气体的通量较低且差异均不显著。     

多年冻土退化地区湿地土壤温室气体排放及其影响因子

采用野外原位实验静态箱-气相色谱法,研究了兴安岭多年冻土不同程度退化地区生长季湿地土壤温室气体CH4、CO2和N2O的排放通量特征,同时分析了环境因子对土壤温室气体排放的影响。结果表明:1)3种类型冻土区(季节性冻土区、岛状多年冻土区、连续多年冻土区,分别用D1、D2、D3表示)土壤在生长季时期表现为CO2和N2O的源;D1和D3为CH4的源,D2为CH4的汇。D1、D2、D3土壤在生长季中平均CH4排放通量分别为(0.127±0.021)、(-0.020±0.006)、(0.082±0.019)mg·m^-2·h^-1;CO2排放通量分别为(371.50±66.73)、(318.43±55.67)、(213.19±37.05)mg·m^-2·h^-1;N2O排放通量分别为(24.05±2.62)、(8.07±2.42)、(2.17±0.25)μg·m-2·h-1。土壤CO2和N2O排放通量随多年冻土退化程度的加剧呈现出升高的趋势。2)细根生物量、凋落物生物量、全碳、全氮、可溶性有机碳、总可溶性氮、土壤容重、土壤温度、土壤含水量等均影响温室气体排放,3种不同类型冻土区土壤CH4、CO2和N2O的排放差异是诸多影响因子综合作用的结果。     

玉渡山水库生长季温室气体排放特征及其影响因素

为了探讨温带水库温室气体排放规律,采用静态箱-色谱分析法,研究了温带地区库龄10年内的北京玉渡山水库生长季3种温室气体CO2、CH4及N2O排放特征,及其影响因子。结果表明:样地类型、测定月份与样地类型交互作用对3种温室气体通量影响极显著,5月消落带CO2通量(664.31mg·m-2·h-1)达到最大,显著高于入库口和浅水区;8月消落带CH4通量(0.87mg·m-2·h-1)及N2O通量(3.05mg·m-2·h-1)最大;8月,切除消落带样地地上植物后,3种温室气体通量均有所降低。CO2通量与地下5cm地温、氧化还原电位和水体总氮显著正相关,与地上生物量和水体pH显著负相关;CH4通量与地表温度、地上生物量、水体pH呈显著相关,与水体总氮和水体铵态氮显著负相关;N2O通量与水体总氮含量显著相关,与水体pH显著负相关。采取平均估值法初步推测,在生长季,水库消落带、入库口及浅水区CO2排放量依次为15960、2160、-70kg·hm-2;CH4排放量依次20.04、-7.05、14.8kg·hm-2;N2O排放量依次83.42、3.79、-1.54kg·hm-2;表明消落带3种温室气体的排放量均较高,为玉渡山水库3种温室气体排放的重点区域。     

施肥方式对紫色土土壤异养呼吸的影响

采用静态暗箱-气相色谱法于2010年12月至2011年10月对不同施肥方式下的紫色土土壤呼吸进行了研究,以揭示施肥方式对紫色土异养呼吸的影响。结果表明:施肥可对土壤异养呼吸产生激发效应。施肥后第5天出现峰值,猪厩肥处理的异养呼吸峰值为2356.8 mg CO2m-2h-1,显著高于秸秆配施氮磷钾(970.1 mgCO2m-2h-1)和常规氮磷钾处理(406.8 mgCO2m-2h-1)(P0.01);小麦季常规氮磷钾、猪厩肥和秸秆配施氮磷钾处理的平均土壤异养呼吸速率为212.9、285.8和305.8mgCO2m-2h-1,CO2排放量为255.1、342.3和369.5 gC/m2,玉米季为408.2、642.8和446.4 mgCO2m-2h-1,CO2排放量为344.7、542.8和376.9 gC/m2,玉米季土壤异养呼吸平均速率及CO2排放量均高于小麦季。全年平均土壤异养呼吸速率分别为310.6、446.3和377.4 mg CO2m-2h-1,CO2排放总量分别为599.8、885.1和746.4 gC/m2。猪厩肥对土壤异养呼吸速率和CO2排放量的影响最大,秸秆配施氮磷钾肥次之,氮磷钾肥最小,说明有机物料的投入是紫色土土壤异养呼吸速率的主要调控措施,低碳氮比的有机物料能促进土壤异养呼吸和CO2的排放。猪厩肥和秸秆配施氮磷钾肥处理相应地表和地下5 cm温度的Q10值分别为2.64、1.88和2.77、1.99,表明低碳氮比的有机物料还能增加土壤异养呼吸Q10值,使土壤异养呼吸速率对温度的敏感性加强。     

鄱阳湖苔草湿地非淹水期CO2释放特征

2009年9月至2010年4月非淹水期,在鄱阳湖南矶湿地国家级自然保护区,选择以灰化苔草为建群种的洲滩湿地,设置土壤-植物系统(TC)、剪除植物地上部分(TJ)2个试验处理(分别代表生态系统和土壤呼吸),利用密闭箱-气相色谱法测定了非淹水期鄱阳湖苔草湿地CO,释放通量.结果表明:苔草湿地生态系统呼吸与土壤呼吸均具有明显的季节变化模式,释放速率变化范围分别为89.57～1243.99和75.30～960.94 mg CO2·m-2·h-1,土壤呼吸占生态系统呼吸的比例为64%(39%～84%);土壤温度是苔草湿地CO2通量的主要控制因子,可以解释呼吸速率80%以上的变异;生态系统呼吸与土壤呼吸的温度敏感性指数(Q10)分别为3.31和2.75,且冬季的Q10值明显高于春秋季节;土壤水分与CO2释放速率之间未达到显著相关;非淹水期,鄱阳湖苔草湿地是大气CO2的汇,其强度为1717.72 g C·m-2.     

若尔盖高原沼泽湿地CO2排放时空变化特征

为了更好理解若尔盖高原不同微生境下沼泽湿地生态系统CO₂排放通量的变化特征,以若尔盖高原湿地自然保护区为研究对象,2013和2014年生长季期间,采用了静态箱和快速温室气体法原位观测了3种湿地5种微生境下沼泽湿地CO₂排放通量时空变化规律。结果表明：长期淹水微地貌草丘区湿地（PHK）和洼地区湿地（PHW） CO₂排放通量变化范围分别为38.99-1731.74 mg m^-2 h^-1和46.69-335.22 mg m^-2 h^-1,季节性淹水区微地貌草丘区湿地（SHK）和洼地区湿地（SHW） CO₂排放通量变化范围分别为193.90-2575.60 mg m^-2 h^-1和49.93-1467.45 mg m^-2 h^-1,而两者过渡区的无淹水区沼泽湿地（Lawn） CO₂排放通量变化范围194.20-898.75 mg m^-2 h^-1。相关性分析表明5种微地貌区沼泽湿地CO₂排放通量季节性变化与不同深度土壤温度均存在显著正相关,与水位存在显著负相关（PHW、SHW、SHK、Lawn）或不相关（PHK）,并且水位和温度（5 cm）共同解释了CO₂排放通量季节性变化的87%。3种湿地5种微生境下沼泽湿地CO₂排放通量存在空间变化规律,主要受水位影响,但植物也影响沼泽湿地CO₂排放通量空间变化规律,并且表明沼泽湿地CO₂排放通量与水位平均值存在显著负相关。     

高寒矮嵩草草甸冬季CO2释放特征

冬季碳排放在高寒草地年内碳平衡中占有重要位置。为探讨高寒草地冬季碳排放特征及温度敏感性,于2003-2005年在中国科学院海北高寒草甸生态系统研究站,利用密闭箱-气相色谱法连续观测了高寒矮嵩草草甸2个冬季的生态系统、土壤呼吸通量特征。结果表明:1)高寒矮嵩草草甸冬季生态系统呼吸、土壤呼吸均具有明显的日变化和季节变化规律,温度是其主要的控制因子,能够解释44%以上的呼吸速率变异。2)冬季生态系统呼吸与土壤呼吸速率在统计上没有显著差异,土壤呼吸占生态系统呼吸的比例高达85%以上。3)2003-2004年冬季生态系统呼吸、土壤呼吸的Q₁₀值分别为1.53,1.38;2004-2005年冬季生态系统呼吸与土壤呼吸的Q₁₀值为1.86,1.68,2个冬季生态系统呼吸的Q₁₀值均高于土壤呼吸。4)未发现高寒矮嵩草草甸冷冬年份的Q₁₀值高于暖冬年份以及冬季的Q₁₀值高于生长季。     

Temporal variation in CO<Subscript>2</Subscript> efflux from soil and snow surfaces in a Japanese cedar (<Emphasis Type="Italic">Cryptomeria japonica</Emphasis>) plantation,central Japan

CO₂ efflux from soil and snow surfaces was measured continuously in a Japanese cedar (Cryptomeria japonica D. Don) forest in central Japan using an open dynamic chamber system. The chamber opens and closes automatically and records measurements based on an open-flow dynamic method. Between May and December, mean soil CO₂ efflux ranged from 1,529 mg CO₂ m⁻² h⁻¹ in September to 255 mg CO₂ m⁻² h⁻¹ in December. The seasonal change in CO₂ efflux from the soil paralleled the seasonal pattern of soil temperature. No marked diurnal trends in soil CO₂ efflux were observed on days without rainfall, whereas significant pulses in soil CO₂ efflux were observed on days with rainfall. In this plantation, soil CO₂ efflux frequently responded to rainfall. Measurements of changes from litter-covered soil to snow-covered surfaces revealed that CO₂ efflux decreased from values of ca. 250 mg CO₂ m⁻² h⁻¹ above soil to less than 33 mg CO₂ m⁻² h⁻¹ above snow. Soil temperature alone explained 66% of the overall variation in soil CO₂ efflux, but explained approximately 85% of the variation when data from two anomalous periods were excluded. Moreover, we found a significant correlation between soil CO₂ efflux and soil moisture (which explained 44% of the overall variation) using a second-order polynomial function. Our results suggest that the seasonality of CO₂ efflux is affected not only by soil temperature and moisture, but also by drying and rewetting cycles and by litterfall pulses.     

Soil-surface CO<Superscript>2</Superscript> fluxes in a <Emphasis Type="Italic">Deyeuxia angustifolia</Emphasis> wetland in Sanjiang Plain,China

In many temperate-zone ecosystems, seasonal changes in environmental and biological factors influence the dynamics and magnitude of surface–atmosphere exchange. Research was conducted between July and October 2001 to measure growing season surface-layer fluxes of CO₂ in a Deyeuxia angustifolia dominated wetland on the Sanjiang Plain in northeastern China. Seasonal fluctuation and daily change in soil-surface CO₂ fluxes were measured as well as the edaphic factors controlling CO₂ fluxes. Soil-surface CO₂ fluxes were measured with a closed-chamber system. The results revealed that there were both seasonal fluctuations and daily change in CO₂ fluxes. The ranges of measured soil-surface CO₂ flux were 0.208 – 1.265 g CO₂m^–2h^–1. Soil-surface CO₂ fluxes averaged 0.620 g CO₂ m^–2h^–1. An analysis of several edaphic factors including soil temperature and soil moisture of the D. angustifolia wetland showed that there was a significant relationship between flux and temperature (R² = 0.77).     

Process-level controls on CO<Subscript>2</Subscript> fluxes from a seasonally snow-covered subalpine meadow soil,Niwot Ridge,Colorado

Fluxes of CO₂ during the snow-covered season contribute to annual carbon budgets, but our understanding of the mechanisms controlling the seasonal pattern and magnitude of carbon emissions in seasonally snow-covered areas is still developing. In a subalpine meadow on Niwot Ridge, Colorado, soil CO₂ fluxes were quantified with the gradient method through the snowpack in winter 2006 and 2007 and with chamber measurements during summer 2007. The CO₂ fluxes of 0.71 μmol m⁻² s⁻¹ in 2006 and 0.86 μmol m⁻² s⁻¹ in 2007 are among the highest reported for snow-covered ecosystems in the literature. These fluxes resulted in 156 and 189 g C m⁻² emitted over the winter, ~30% of the annual soil CO₂ efflux at this site. In general, the CO₂ flux increased during the winter as soil moisture increased. A conceptual model was developed with distinct snow cover zones to describe this as well as the three other reported temporal patterns in CO₂ flux from seasonally snow-covered soils. As snow depth and duration increase, the factor controlling the CO₂ flux shifts from freeze–thaw cycles (zone I) to soil temperature (zone II) to soil moisture (zone III) to carbon availability (zone IV). The temporal pattern in CO₂ flux in each zone changes from periodic pulses of CO₂ during thaw events (zone I), to CO₂ fluxes reaching a minimum when soil temperatures are lowest in mid-winter (zone II), to CO₂ fluxes increasing gradually as soil moisture increases (zone III), to CO₂ fluxes decreasing as available carbon is consumed. This model predicts that interannual variability in snow cover or directional shifts in climate may result in dramatically different seasonal patterns of CO₂ flux from seasonally snow-covered soils.     

Controls on Soil Carbon Dioxide and Methane Fluxes in a Variety of Taiga Forest Stands in Interior Alaska

CO₂ and CH₄ fluxes were monitored over 4 years in a range of taiga forests along the Tanana River in interior Alaska. Floodplain alder and white spruce sites and upland birch/aspen and white spruce sites were examined. Each site had control, fertilized, and sawdust amended plots; flux measurements began during the second treatment year. CO₂ emissions decreased with successional age across the sites (alder, birch/aspen, and white spruce, in order of succession) regardless of landscape position. Although CO₂ fluxes showed an exponential relationship with soil temperature, the response of CO₂ production to moisture fit an asymptotic model. Of the manipulations, only N fertilization had an effect on CO₂ flux, decreasing flux in the floodplain sites but increasing it in the birch/aspen site. Landscape position was the best predictor of CH₄ flux. The two upland sites consumed CH₄ at similar rates (approximately 0.5 mg C m⁻² d⁻¹), whereas the floodplain sites had lower consumption rates (0–0.3 mg C m⁻² d⁻¹). N fertilization and sawdust both inhibited CH₄ consumption in the upland birch/aspen and floodplain spruce sites but not in the upland spruce site. The biological processes driving CO₂ fluxes were sensitive to temperature, moisture, and vegetation, whereas CH₄ fluxes were sensitive primarily to landscape position and biogeochemical disturbances. Hence, climate change effects on C-gas flux in taiga forest soils will depend on the relationship between soil temperature and moisture and the concomitant changes in soil nutrient pools and cycles. Received 10 March 1998; accepted 29 December 1999.     

Carbon dioxide evolution of an upland rice and barley,double cropping field in central Japan

Carbon dioxide evolution rates from a double cropping, upland rice and barley field were determined in central Japan from June 1992 to May 1994, and regression models were developed to predict soil respiration rate. Diurnal patterns of hourly soil respiration rates (SRh) showed a similar trend with those of soil surface temperatures. Daily soil respiration rate (SRd) obtained by integrating SRh varied from 0.3 to 15.6 g CO₂ m⁻² for the 2 years. In the summer cropping period, SRd was positively correlated with daily mean soil surface temperature and negatively correlated with volumetric water content in soil. Moreover, this relationship was able to be expressed as a multiple-factor model with an Adj-R² of 0.925. On the other hand, in the winter cropping period, SRd was able to be represented by a single factor model using soil surface temperature with an Adj-R² of 0.854. Based on these relationships, seasonal changes in soil respiration rate were estimated. Total soil respiration rates in 1992 and 1993 estimated for the summer cropping period were 1260 g CO₂ m⁻² and 1094 g CO₂ m⁻², and for the winter cropping period 624 g CO₂ m⁻² and 676 g CO₂ m⁻², respectively. It was considered that the lower values during the summer cropping period in 1993 depended on lower soil surface temperature and higher soil water content.     

模拟氮沉降和降雨对华西雨屏区常绿阔叶林土壤呼吸的影响

从2013年12月至2014年11月,通过野外原位试验,对华西雨屏区常绿阔叶林进行了模拟氮沉降和降雨试验,采用LI-8100土壤碳通量分析系统(LI-COR Inc.,USA)测定了对照(CK)、氮沉降(N)、减雨(R)、增雨(W)、氮沉降+减雨(NR)、氮沉降+增雨(NW)6个处理水平的土壤呼吸速率,并通过回归方程分析了温度和湿度与土壤呼吸速率间的关系。结果表明:(1)氮沉降和增雨抑制了常绿阔叶林土壤呼吸速率,减雨促进了常绿阔叶林土壤呼吸速率。(2)减雨使华西雨屏区常绿阔叶林土壤呼吸年通量增加了258 g/m~2,而模拟氮沉降和增雨使华西雨屏区常绿阔叶林土壤呼吸年通量分别减少了321g/m~2和406g/m~2。(3)减雨增加了土壤呼吸的温度敏感性,模拟氮沉降和增雨降低了土壤呼吸的温度敏感性。(4)模拟温度和湿度与土壤呼吸速率间回归方程分析表明,土壤水分对土壤呼吸速率的影响较小。(5)模拟氮沉降和增雨处理减少土壤微生物生物量碳、氮的含量,减雨处理增加了土壤微生物生物量碳、氮的含量。(6)模拟氮沉降和降雨对华西雨屏区土壤CO_2释放的影响未表现出明显的交互作用。     

Changes in soil carbon flux and carbon stock over a rotation of poplar plantations in northwest China

Forest soil is a major component of terrestrial ecosystems for carbon sequestration and plays an important role in the global carbon cycle. Soil carbon flux and soil carbon pools were investigated in a poplar plantation chronosequence over a rotation in northwest China. Based on continuous field observation in 2007, the results showed that mean soil CO₂ efflux rate was 5.54, 4.81, and 3.93 μmol CO₂ m⁻² s⁻¹ for stands of 2-, 8-, and 15-year-old, respectively, during the growing season. Significant differences in soil respiration of three age classes were mainly because soil temperature, carbon allocation, and fine root growth changed greatly with stand age. Multiple regression analysis suggested that soil temperature and fine root biomass in the upper layer could explain 78–85% of the variation in soil respiration. Mineral soil C stock at 0–40 cm depth was 55.77, 55.09, and 58.14 t ha⁻¹ in the 2-, 8-, and 15-year-old stands, respectively. The average rate of soil C sequestration was 0.13 t ha⁻¹ year⁻¹ following afforestation on former crop lands. Although the plantations had similar management practices and soil types since their establishment, many biotic and abiotic factors such as root biomass and turnover rate, soil condition of the plantations had undergone marked changes at different development stages, which could result in the remarkable differences in soil carbon flux and storage over a rotation. Our results highlight the importance of the development stage within a rotation of poplar plantation in assessment of soil carbon budget.     

The effects of elevated atmospheric CO<Subscript>2</Subscript> and nitrogen amendments on subsurface CO<Subscript>2</Subscript> production and concentration dynamics in a maturing pine forest

Profiles of subsurface soil CO₂ concentration, soil temperature, and soil moisture, and throughfall were measured continuously during the years 2005 and 2006 in 16 locations at the free air CO₂ enrichment facility situated within a temperate loblolly pine (Pinus taeda L.) stand. Sampling at these locations followed a 4 by 4 replicated experimental design comprised of two atmospheric CO₂ concentration levels (ambient [CO₂]^a, ambient + 200 ppmv, [CO₂]^e) and two soil nitrogen (N) deposition levels (ambient, ambient + fertilization at 11.2 g_N m⁻² year⁻¹). The combination of these measurements permitted indirect estimation of belowground CO₂ production and flux profiles in the mineral soil. Adjacent to the soil CO₂ profiles, direct (chamber-based) measurements of CO₂ fluxes from the soil–litter complex were simultaneously conducted using the automated carbon efflux system. Based on the measured soil CO₂ profiles, neither [CO₂]^e nor N fertilization had a statistically significant effect on seasonal soil CO₂, CO₂ production, and effluxes from the mineral soil over the study period. Soil moisture and temperature had different effects on CO₂ concentration depending on the depth. Variations in CO₂ were mostly explained by soil temperature at deeper soil layers, while water content was an important driver at the surface (within the first 10 cm), where CO₂ pulses were induced by rainfall events. The soil effluxes were equal to the CO₂ production for most of the time, suggesting that the site reached near steady-state conditions. The fluxes estimated from the CO₂ profiles were highly correlated to the direct measurements when the soil was neither very dry nor very wet. This suggests that a better parameterization of the soil CO₂ diffusivity is required for these soil moisture extremes.