CO2浓度升高对红松和长白松土壤呼吸作用的影响

以开顶箱法研究了CO₂浓度升高对红松和长白松土壤呼吸作用的影响.结果表明,500 μmol CO₂·mol^-1使红松和长白松土壤呼吸速率明显降低,土壤表面CO₂浓度升高导致CO₂扩散受阻可能是土壤呼吸受到抑制的主要原因.500 μmol CO₂·mol^-1下两树种土壤表面CO₂浓度明显高于对照箱和裸地条件下的CO₂浓度,增加幅度在40～150 μmol·mol^-1之间;对照箱内长白松土壤表面CO₂浓度略高于裸地,差异不显著,红松差异显著500 μmol CO₂·mol^-1下的长白松土壤全氮及总有机碳含量略高于对照组,差异不显著,红松裸地的碳氮含量明显低于500 μmol CO₂·mol^-1 及对照箱内土壤碳氮含量;500 μmol CO₂·mol^-1 及开顶箱的微环境对地下3 cm处土壤温度没有明显影响.     

草地群落的土壤呼吸

通过土壤呼吸作用向大气释放ＣＯ２是陆地生态系统碳循环的一个最主要的环节,也是人类活动影响下陆地生态系统对大气中ＣＯ２浓度产生影响,从而导致全球气候变化的关键生态学过程,因而成为全球碳循环研究中倍受关注的核心问题［３３,３７,３８］。１土壤呼吸的测定方...     

增温和放牧对草地土壤和生态系统呼吸的影响

草地生态系统作为世界陆地生态系统的主体类型,其土壤呼吸和生态系统呼吸是陆地生态系统碳循环的重要组成部分,土壤呼吸是未经扰动的土壤由于代谢活动而产生CO2的过程,生态系统呼吸包括地下部分的土壤呼吸和地上部分植被的自养呼吸。研究增温和放牧对草地土壤和生态系统呼吸的影响,可为预测未来气候变化条件下的全球碳收支以及草地的可持续经营与管理提供重要的科学依据。该文扼要综述了关于草地土壤和生态系统呼吸对增温和放牧的响应方面的研究。结果表明:草地土壤和生态系统呼吸对增温和放牧的响应非常复杂,受多种因素的综合影响,无论是增温还是放牧对草地土壤和生态系统呼吸的影响均具有不确定性,因草地类型、增温幅度、增温时间、放牧强度、放牧频度和放牧方式的不同而不同。在此基础上,指出了以后应加强研究的方向,草地的利用离不开放牧,对于未来气候变化条件下的草地,温度升高和放牧这两个因素必然是同时存在的,以前多数实验是单独研究增温或放牧对它们的影响,然而,这两者对草地生态系统的影响并非可加的,因此,需要加强增温与放牧的耦合试验,同时加强关于生态系统呼吸不同组分对两者的响应的研究,以便更好地理解增温和放牧的影响机制。另外,草地土壤和生态系统呼吸对增温和放牧的响应会随着时间的推移而发生变化,因而加强长期连续的试验观测很有必要。     

不同苜蓿品种人工草地土壤呼吸及对土气温度反应

用便携式土壤呼吸测定仪(Li-6400)测定不同苜蓿品种人工草地的土壤呼吸,并同步测定土壤层的温度、大气温度和土壤含水量.结果表明:5个苜蓿品种土壤呼吸速率日变化总体呈"双峰"曲线,黄花苜蓿、龙牧801和肇东苜蓿草地土壤呼吸的日最高值出现在6:00,最低值分别出现在14:00,8:00和12:00,俄罗斯苜蓿和杂花苜蓿草地土壤呼吸速率最大值均出现在8:00,最低值出现在14:00和12:00;5个苜蓿品种草地土壤呼吸速率值,总体变化趋势是杂花苜蓿>肇东苜蓿>黄花苜蓿、俄罗斯苜蓿>龙牧801;土壤呼吸与土壤温度呈线性正相关,与大气温度呈一元二次线性正相关.     

草地生态系统土壤呼吸对放牧干扰的响应研究进展

草地占地球陆地总表面积的40%, 是陆地生态系统的主体类型之一。草地生态系统碳贮量大, 土壤呼吸又是陆地生态系统将碳释放到大气的重要环节, 这类生态系统土壤呼吸对全球碳循环的贡献不可忽视。研究草地生态系统环境变化和人类活动干扰对土壤呼吸的影响对于估算未来碳循环前景和气候变化具有重要意义。放牧是人类对草地生态系统最重要的利用和干扰方式, 在全球变化背景下, 近年来草地生态系统土壤呼吸对放牧干扰的响应成为碳循环研究中的一项重要内容。现有研究结果显示, 土壤呼吸对放牧干扰的响应具有一定的不确定性, 其原因同这一过程所涉及的复杂机制有关。这些机制包括: 放牧改变了植物凋落物的产量和质量、植物同化产物的分配和根系生物量、微生物生物量和多样性、与呼吸有关的酶的活性、土壤养分状况、土壤温度和水分状况等。对于土壤呼吸及其组分而言, 上述机制有的具有促进作用, 有的具有抑制作用, 且在不同时间和地点起主导作用的机制各不相同, 从而在放牧干扰的作用下, 土壤呼吸会呈现出升高、降低或无反应等多种结果。由于根据现有这些不一致的结果, 无法精确估算人类的放牧干扰活动对全球碳循环的影响, 因此, 今后要从土壤呼吸各个组分的区分入手, 量化解析放牧干扰对土壤呼吸影响的机制过程及构建机理模型等方面加强该领域的研究。     

干湿交替下草地生态系统土壤呼吸变化的微生物响应机制研究进展

草地是陆地生态系统中最重要、分布最广的生态系统类型之一,对全球碳循环和气候调节有着重要的作用和效应.我国拥有极为丰富的草地资源,是巨大的陆地碳储存库,也是全球碳循环重要组成部分.干湿交替是土壤中普遍发生的自然现象,这种现象的发生可能会加速土壤的碳矿化过程、激增土壤呼吸以及影响微生物的活性和群落结构等.在全球变化日趋显著的背景下,降雨量、降雨强度以及降雨频率的变化将会加速土壤干湿交替进程,进而带来微生物活性、群落结构以及土壤呼吸的变化,并对全球碳循环过程产生重要影响.本文综述了近十年来国内外的相关文献,对干湿交替条件下,土壤释放CO₂消耗碳源、土壤呼吸随时间的动态变化趋势以及土壤呼吸与微生物量、微生物活性和微生物群落结构之间的关系进行了分析和总结,以期为更好地理解干湿交替过程中草地生态系统土壤呼吸的微生物学响应机制,更准确地预测和评估未来的全球陆地生态系统的碳收支与气候变化提供一定的理论基础.     

大气CO2浓度升高对不同施氮土壤酶活性的影响

利用中国唯一的无锡FACE（Free-air CO2 enrichment,开放式空气CO2浓度升高）平台,研究了大气CO2浓度升高对土壤β-葡糖苷酶、转化酶、脲酶、酸性磷酸酶、-氨基葡糖苷酶的影响。研究发现,不同氮肥处理下大气CO2浓度升高对某些土壤酶活性的影响不同。在低氮施肥处理中,大气CO2浓度升高显著降低-葡糖苷酶活性,但是在高氮施肥处理下,大气CO2浓度升高显著增加β-葡糖苷酶活性。在低氮和常氮施肥处理中大气CO2浓度升高显著增加了土壤脲酶活性,但在高氮水平下影响不显著。在低氮、常氮施肥处理中,大气CO2浓度升高对土壤酸性磷酸酶活性没有影响,而在高氮施肥处理中显著增强了土壤中磷酸酶活性。大气CO2浓度升高对土壤转化酶活性和-氨基葡糖苷酶的活性有增加趋势,但影响不显著。研究还发现,在不同的CO2浓度下,土壤酶活性对不同氮肥处理的响应也不同。在正常CO2浓度下,土壤中β-葡糖苷酶活性随着氮肥施用量的增加而降低,而在大气CO2浓度升高条件下,却随着氮肥施用量的增加而增加。在大气CO2浓度升高条件下,高氮施肥显著增加了转化酶和酸性磷酸酶活性,而在正常CO2浓度下,影响不显著。在大气CO2浓度升高条件下,氮肥处理对脲酶活性的影响不大,但在正常CO2浓度下,脲酶活性随着氮肥施用量的增加而增加。氮肥对β-氨基葡糖苷酶活性的影响不明显。     

冬小麦旺盛生长期间CO2浓度升高对根际呼吸的影响

依托FACE（free air carbon dioxide enrichment）技术平台,利用阻断根法,采用H6400红外气体分析仪（IRGA）-田间原位测定的方法,研究了大气CO2浓度升高和不同氮肥水平对水稻／小麦轮作制中冬小麦旺盛生长期间根际呼吸的影响。结果表明,在整个测定期间,大气CO2浓度升高增强了根际呼吸速率,提高了根际呼吸排放量。在高N和低N处理中,高CO2浓度下的根际呼吸总排放量分别比Ambient极显著增加117．0％和90．8％。根际呼吸速率在孕穗初期达到最大值;使根际呼吸在土壤呼吸中的比重由24．5％（LN）～26．7（HN）提高到39．8％（LN）～47．1％（HN）。CO2浓度升高与氮肥用量对根际呼吸产生交互效应。表明大气CO2浓度升高将加快土壤向大气的CO2排放,结果将有助于评价未来高CO2浓度背景下农田生态系统土壤碳的固定潜力。     

中亚热带东部三种主要木本群落土壤呼吸的研究

研究中亚热带东部青冈（Ｑｕｅｒｃｕｓｇｌａｕｃａ）常绿阔叶林、毛竹（Ｐｈｙｌｏｓｔａｃｈｙｓｐｕｂｅｓｃｅｎｓ）林和茶（Ｃａｍｅｌｉａｓｉｎｅｎｓｉｓ）园土壤呼吸与土壤温度、土壤含水率的关系,建立了土壤呼吸速率与地表温度的模型,根据气象资料估算得到青冈常绿阔叶林、毛竹林、茶园的年均土壤ＣＯ２呼吸量,３种群落依次为２４．１２、３０．７７、２８．５５ｔ／ｈｍ２·ａ,进一步估算出浙江省常绿阔叶林、毛竹林和茶园每年土壤ＣＯ２排放量,分别为９．２７×１０６、１．３６×１０７、７．１６×１０６ｔ／ａ     

土壤CO2浓度的动态观测、模拟和应用

土壤CO2浓度不仅是地上、地下生物活动的反映,其变化对未来大气CO2浓度和气候变化也有重要影响.本文综述了国内外土壤CO2浓度的原位测定方法及其优缺点,分析了不同时(昼夜、几天、季节、年际)空(剖面、立地、景观)尺度上土壤CO2浓度的变化规律和影响因素,概括了现有土壤CO2浓度的模拟模型和发展态势,并总结了土壤CO2浓度梯度法在土壤呼吸研究中的应用和限制因素.最后展望了未来有待研究的4个领域:1)研发适于恶劣土壤环境(如淹水、石质土)的土壤CO2气体采集、测定技术;2)探讨土壤CO2浓度对天气变化的响应及其调控机理;3)加强土壤CO2浓度空间异质性的研究;4)扩大通量梯度法在热带、亚热带土壤呼吸测定中的应用.     

中国北方草地土壤呼吸的空间变异及成因

土壤呼吸是陆地生态系统碳循环的关键指标,决定了土壤源二氧化碳(CO₂)进入大气的通量,对预测全球气候变化背景下区域乃至全球碳循环变化具有重要意义.本文通过室内短期培养试验测定了中国北方草地样带土壤样品的呼吸速率,研究了北方草地土壤呼吸的区域尺度格局及其与主要调控因子的关系.结果表明：土壤呼吸速率自西向东随年均降水量(MAP)增加呈逐渐增加的趋势,变化范围为0.35～2.09 μg CO₂C·g^-1·h^-1.其中,MAP<100 mm时,土壤呼吸速率为0.35～0.73 μg CO₂C·g^-1·h^-1;100 mm 2C·g^-1·h^-1;MAP>300 mm时,土壤呼吸速率为0.83～2.10 μg CO₂ C·g^-1·h^-1.土壤呼吸速率与年均降水量、地上生物量、土壤有机碳氮含量呈显著正相关,而与年均温和pH值呈显著负相关.增强回归树分析显示,年均降水量、地上生物量、土壤有机碳含量和土壤有机氮含量分别解释了土壤呼吸总变异的25.5%、23.6%、18.3%和12.5%,而土壤pH和年均温仅解释了10.8%和9.2%.     

Temperature-independent diel variation in soil respiration observed from a temperate deciduous forest

The response of soil respiration (R_s) to temperature depends largely on the temporal and spatial scales of interest and how other environmental factors interact with this response. They are often represented by empirical exponential equations in many ecosystem analyses because of the difficulties in separating covarying environmental responses and in observing below ground processes. The objective of this study was to quantify a soil temperature‐independent component in R_s by examining the diel variation of an R_s time series measured in a temperate deciduous forest located at Oak Ridge, TN, USA between March and December 2003. By fitting 2 hourly, continuous automatic chamber measurements of CO₂ efflux at the soil surface to a Q₁₀ function to obtain the temperature‐dependent respiration (R_t) and plotting the diel cycles of R_t, R_s, and their difference (R_i), we found that an obvious temperature‐independent component exists in R_s during the growing season. The diel cycle of this component has a distinct day/night pattern and agrees well with diel variations in photosynthetically active radiation (PAR) and air temperature. Elevated canopy CO₂ concentration resulted in similar patterns in the diel cycle of the temperature‐independent component but with different daily average rates in different stages of growing season. We speculate that photosynthesis of the stand is one of the main contributors to this temperature‐independent respiration component although more experiments are needed to draw a firm conclusion. We also found that despite its relatively small magnitude compared with the temperature‐dependent component, the diel variation in the temperature‐independent component can lead to significantly different estimates of the temperature sensitivity of soil respiration in the study forest. As a result, the common practice of using fitted temperature‐dependent function from night‐time measurements to extrapolate soil respiration during the daytime may underestimate daytime soil respiration.     

Rhizospheric and heterotrophic components of soil respiration in six Chinese temperate forests

Partitioning soil respiration (R_S) into heterotrophic (R_H) and rhizospheric (R_R) components is an important step for understanding and modeling carbon cycling in forest ecosystems, but few studies on R_R and R_H exist in Chinese temperate forests. In this study, we used a trenching plot approach to partition R_S in six temperate forests in northeastern China. Our specific objectives were to (1) examine seasonal patterns of soil surface CO₂ fluxes from trenched (R_T) and untrenched plots (R_UT) of these forests; (2) quantify annual fluxes of R_S components and their relative contributions in the forest ecosystems; and (3) examine effects of plot trenching on measurements of R_S and related environmental factors. The R_T maximized in early growing season, but the difference between R_UT and R_T peaked in later summer. The annual fluxes of R_H and R_R varied with forest types. The estimated values of R_H for the Korean pine (Pinus koraiensis Sieb. et Zucc.), Dahurian larch (Larix gmelinii Rupr.), aspen‐birch (Populous davidiana Dode and Betula platyphylla Suk.), hardwood (Fraxinus mandshurica Rupr., Juglans mandshurica Maxim. and Phellodendron amurense Rupr.), Mongolian oak (Quercus mongolica Fisch.) and mixed deciduous (no dominant tree species) forests averaged 89, 196, 187, 245, 261 and 301 g C m⁻² yr⁻¹, respectively; those of R_R averaged 424, 209, 628, 538, 524 and 483 g C m⁻² yr⁻¹, correspondingly; calculated contribution of R_R to R_S (RC) varied from 52% in the larch forest to 83% in the pine forest. The annual flux of R_R was strongly correlated to biomass of roots <0.5 cm in diameter, while that of R_H was weakly correlated to soil organic carbon concentration at A horizon. We concluded that vegetation type and associated carbon metabolisms of temperate forests should be considered in assessing and modeling R_S components. The significant impacts of changed soil physical environments and substrate availability by plot trenching should be appropriately tackled in analyzing and interpreting measurements of R_S components.     

中国草原土壤呼吸作用研究进展

中国草原面积约占国土面积的40%, 且大都位于生态脆弱区, 对气候和环境变化十分敏感, 在未来大气CO₂调控中有着重要的作用。为增进对中国草原土壤呼吸作用的理解, 该文综述了近10年来中国草原土壤呼吸作用的最新研究进展, 指出中国草原土壤呼吸作用的研究主要集中在东北平原、内蒙古高原和青藏高原。草原土壤呼吸作用日动态的主导控制因子是温度, 季节动态的主导控制因子可以是温度、水分或二者的交互作用, 取决于研究地点的限制性环境因子, 而年际动态的主导控制因子为水分。草原土壤呼吸作用还存在着巨大的空间变异, 年降水和土壤全氮含量是不同类型草原土壤呼吸作用空间异质性的主导控制因子。土壤呼吸作用对全球变化的响应比较复杂, 取决于各因子之间相互影响的贡献。现有的土壤呼吸作用模型大多只考虑了水热因子, 很少包含土壤因子和生物因子及其协同作用的影响。在此基础上, 指出未来中国草原土壤呼吸作用拟加强的研究重点: 1)温带荒漠草原土壤呼吸作用研究; 2)非生长季土壤呼吸作用研究; 3)多时空尺度草原土壤呼吸作用的比较研究; 4)草原土壤呼吸作用过程模拟研究; 5)草原土壤呼吸作用的遥感监测评估研究。     

Root respiration in temperate mountain grasslands differing in land use

In grasslands the proportionally largest emission of CO₂ comes from the soil. This study aimed to assess how root respiration, a major flux component, is affected by land management and changes in land use. Respiration of roots, separated to classes of different diameter, was measured in 11 temperate mountain grasslands, including meadows, pastures and abandoned sites at three geographic locations. Specific root respiration was affected by nitrogen (N) concentration, root class and land use. The relationship between root N concentration and respiration differed between locations. With increasing root diameter there was a decrease in root respiration, N concentration, respiration per unit N and Q₁₀. In grasslands abandoned for several years specific root respiration was lower than in meadows, pastures and a recently abandoned site. This was due to lower root N concentrations and/or lower respiration rates per unit N within each root class. Since root biomass was higher on abandoned grasslands, total ecosystem root respiration did not differ consistently between sites. Ecosystem root respiration showed distinct seasonal changes due to changes in root biomass, which were less pronounced on abandoned grasslands. Fine roots generally made up the largest portion of ecosystem root respiration, their contribution varying between 35% and 96%. On meadows, clipping increased soil and root respiration by increasing soil temperature. When corrected for temperature effects soil respiration was reduced by 20–50%, whilst root respiration was little affected, suggesting that carbohydrate reserves sustained root metabolism for several days and that microbial respiration strongly responded to short‐term changes in assimilate supply.     

Responses of soil respiration to elevated CO2, air warming, and changing soil water availability in a model old-field grassland

Responses of soil respiration to atmospheric and climatic change will have profound impacts on ecosystem and global carbon (C) cycling in the future. This study was conducted to examine effects on soil respiration of the concurrent driving factors of elevated atmospheric CO₂ concentration, air warming, and changing precipitation in a constructed old‐field grassland in eastern Tennessee, USA. Model ecosystems of seven old‐field species were established in open‐top chambers and treated with factorial combinations of ambient or elevated (+300 ppm) CO₂ concentration, ambient or elevated (+3 °C) air temperature, and high or low soil moisture content. During the 19‐month experimental period from June 2003 to December 2004, higher CO₂ concentration and soil water availability significantly increased mean soil respiration by 35.8% and 15.7%, respectively. The effects of air warming on soil respiration varied seasonally from small reductions to significant increases to no response, and there was no significant main effect. In the wet side of elevated CO₂ chambers, air warming consistently caused increases in soil respiration, whereas in the other three combinations of CO₂ and water treatments, warming tended to decrease soil respiration over the growing season but increase it over the winter. There were no interactive effects on soil respiration among any two or three treatment factors irrespective of time period. Treatment‐induced changes in soil temperature and moisture together explained 49%, 44%, and 56% of the seasonal variations of soil respiration responses to elevated CO₂, air warming, and changing precipitation, respectively. Additional indirect effects of seasonal dynamics and responses of plant growth on C substrate supply were indicated. Given the importance of indirect effects of the forcing factors and plant community dynamics on soil temperature, moisture, and C substrate, soil respiration response to climatic warming should not be represented in models as a simple temperature response function, and a more mechanistic representation including vegetation dynamics and substrate supply is needed.     

土壤各组分呼吸区分方法研究进展

土壤呼吸分为自养型呼吸(根呼吸)和异养型呼吸(微生物和动物呼吸),区分各组分呼吸可了解在全球变化条件下土壤碳循环和碳平衡的动态。本文综述了3种主要区分自养呼吸和异养呼吸的方法:①组分法;②根去除术;③同位素法。其中同位素法对根和土壤的影响最小,是最可靠的一种方法;综合各方面考虑,根去除法是最切实可行的方法。     

土壤呼吸对秸秆与秸秆生物炭还田的响应及其微生物机制

土壤呼吸释放CO_2是温室气体排放的重要途径之一,减少土地利用中温室气体排放、增强土壤碳汇聚能力对于减缓全球温室效应具有重要意义。生物炭具有改善土壤理化性质、增加作物产量、调节土壤微生物性质等特性。本研究采用室外盆栽的方式,以地肤草为目标植物,研究了芦苇、水稻、互花米草三种农林秸秆及其秸秆生物炭还田对土壤的改良效应,以及对土壤呼吸的影响及其微生物机制。结果表明:秸秆及其秸秆生物炭均可改善土壤肥力,促进植物生长,且生物炭改良效果略好于秸秆直接还田。但秸秆生物炭还田的土壤呼吸显著低于秸秆直接还田,其中芦苇生物炭最低。秸秆直接还田可促进土壤β-糖苷酶、脱氢酶和活性微生物量等微生物活性指标,从而促进土壤呼吸,增加土壤CO_2的释放,而生物炭还田对土壤微生物活性无显著的促进作用,反而有一定的抑制作用,这可能是由于生物炭中易降解有机物含量很低,可降解性较低的缘故。     

三源区分土壤呼吸组分研究

三源区分土壤呼吸组分是指将土壤呼吸区分为纯根呼吸、根际微生物呼吸和土壤有机质呼吸3个部分。土壤有机质呼吸、纯根呼吸和根际微生物呼吸是3种不同的生物学过程,这3种呼吸对环境变化具有不同的响应机制。区分土壤呼吸中由根系引起的自养和异养呼吸组分的研究对定量评价陆地生态系统碳平衡具有重要的意义。论述了三源区分土壤呼吸组分的意义、方法和应用,分析了不同条件下土壤呼吸组分区分的研究结果。实验室纯根和根际微生物呼吸占根源呼吸比重约为45%和55%;野外条件下约为60%和40%。最后对本研究未来的发展方向进行了展望。     

测定时间对干湿循环条件下高寒湿地土壤呼吸的影响

土壤呼吸是土壤重要的生态过程之一,对全球碳循环有着重要的影响.准确测定不同干湿循环条件下的土壤呼吸,是评价土壤碳排放的重要基础.本研究以若尔盖高寒湿地土壤为对象,设置不同的干湿循环强度和频率,通过持续测定多个连续干湿循环周期下的土壤呼吸,将多次测定值进行累加,计算出土壤呼吸量,并分别与单次测定值所估算的土壤呼吸量进行比较,筛选出具有代表性的土壤呼吸测定时间.结果表明,在高频率干湿循环中(8天·周期^-1),高、低强度下土壤呼吸的最佳测定时间均为干湿交替周期的第4天;在低频率干湿循环中(16天·周期^-1),高、低强度下的最佳测定时间存在差异,分别为第6天和第4天.若统一不同干湿循环强度和频率下的土壤呼吸测定时间,则可选择在循环周期的第4天进行首次测定,之后每隔8天测定一次,此时估算的土壤呼吸量较为准确.以上结果表明,若尔盖高寒湿地土壤呼吸的最佳测定时间随干湿循环的变化而发生改变,在干湿交替循环周期的中间时段测定土壤呼吸,可以提高实验效率,较为准确地估算土壤呼吸,对评价和预测气候变化下高寒湿地生态系统土壤碳排放具有重要意义.