A new automated technique for measuring respiration in soil samples

An automated 36 place valve to provide continuous soil respiration measurements was constructed. The valve is fully computer controlled and can sample and purge the soil atmosphere as frequently as every 75 minutes. The concentrations, automatically measured by the valve, are essentially identical to those measured manually by gas chromatography in the concentration range of 0.1 to 1% CO₂, and are kept in this range by adjusting the mass of soil and the sampling frequency. Data are transferred automatically to a computer spreadsheet program for data handling and plotting on either a rate or cumulative basis. The system has proved reliable over many thousands of analyses and has made detailed analysis of microbial activity on a continuous basis possible.     

华南丘陵区不同土地利用方式下土壤呼吸

采用静态箱-气相色谱法对华南丘陵区针叶林和果园土壤呼吸及其主要影响因子进行了观测。结果表明:针叶林和果园含凋落物年均土壤呼吸分别为(1.96±0.09)和(6.56±0.32)kg.m-2.a-1;不含凋落物年均土壤呼吸分别为(1.60±0.07)和(5.30±2.80)kg.m-2.a-1。土地利用方式对土壤呼吸的影响较大,果园土壤呼吸明显大于针叶林(P<0.01)。针叶林和果园土壤呼吸季节变化模式相似,即雨季较高而旱季较低。不同土地利用方式下不同处理土壤呼吸均与地下5cm土壤温度、地表温度和气温呈显著指数相关。利用Q10模型计算出针叶林和果园土壤呼吸Q10值变化范围在1.73～3.30。土壤呼吸与土壤含水量显著相关。温度和土壤含水量能部分解释针叶林和果园土壤呼吸的季节变化。针叶林和果园由凋落物分解释放的CO2对土壤呼吸的贡献分别为18.14%和19.08%。     

青藏高原东缘亚高山针叶林人工恢复过程中的土壤呼吸特征

采用动态密闭气室红外CO₂分析法,对青藏高原东缘云杉人工林的土壤呼吸进行连续定位测定,并用挖壕沟法区分土壤自养呼吸和异养呼吸.结果表明:4种云杉林的土壤呼吸速率与土壤5 cm层温度有显著的正指数关系,与土壤含水量的相关性不显著.4种云杉林土壤呼吸年通量在792.08～1070.20 g C·m^-2·a^-1,大小依次为：天然云杉林＞22年生云杉人工林＞65年生云杉人工林＞35年生云杉人工林,随着人工林的恢复呈先降低后升高的趋势.在森林恢复过程中,人工云杉土壤自养和异养呼吸年通量均先减少后增加, 在253.36～357.05 g C·m^-2·a^-1和538.69～703.82 g C·m^-2·a^-1范围变化.22年生、35年生、65年生云杉人工林和天然云杉林非生长季 （2007-11-2008-03）和生长季（2008-04-2008-10）的Q₁₀值分别为：4.59、6.54、4.77、3.18和4.17、4.66、3.11、2.74.除22年生云杉人工林,Q₁₀值随云杉林的恢复更新而逐渐降低, 且非生长季节Q₁₀值均明显高于生长季节.     

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.     

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。     

小兴安岭4种原始红松林群落类型生长季土壤呼吸特征

为阐明小兴安岭地带性植被原始红松林土壤呼吸各组分的碳排放速率及其对土壤水热变化的响应规律,采用挖壕法和红外气体分析法测定土壤表面CO2通量(Rs),确定4种原始红松林群落类型生长季的土壤总呼吸(Rt)中土壤微生物呼吸(Rh),根系呼吸(Rr)和凋落物呼吸(Rl)的贡献量动态变化及其影响因子。结果表明:生长季内,4种原始红松林群落类型的Rt、Rh、Rr具有明显的季节性变化,7-9月份较高,6月份和10月份较低。Rh对Rt的贡献量最高,平均在58.8%;Rr对Rt的贡献量次之,平均为26.5%;Rl对Rt的贡献量相对较小,平均为12.5%。生长季土壤呼吸速率与5cm深土壤温度相关性极显著(P0.01)。Rr和Rh的Q10值分别为2.88和2.23。表明根呼吸对土壤温度的敏感性高于微生物呼吸。生长季平均土壤呼吸速率的依次为:椴树红松林(6.38μmol·m-·2s-1)云冷杉红松林(6.32μmol·m-·2s-1)枫桦红松林(5.95μmol·m-·2s-1)蒙古栎红松林(2.86μmol·m-·2s-1)。4种原始叶红松林群落类型间的Rh和Rr也存在一定差异。     

Does soil CO2 efflux acclimatize to elevated temperature and CO2 during long-term treatment of Douglas-fir seedlings?

We investigated the effects of elevated soil temperature and atmospheric CO2 on soil CO2 efflux (SCE) during the third and fourth years of study. We hypothesized that elevated temperature would stimulate SCE, and elevated CO2 would also stimulate SCE with the stimulation being greater at higher temperatures. The study was conducted in sun-lit controlled-environment chambers using Douglas-fir (Pseudotsuga menziesii) seedlings grown in reconstructed litter-soil systems. We used a randomized design with two soil temperature and two atmospheric CO2 treatments. The SCE was measured every 4 wk for 18 months. Neither elevated temperature nor CO2 stimulated SCE. Elevated CO2 increased the temperature sensitivity of SCE. During the winter, the relationship between SCE and soil moisture was negative but it was positive during the summer. The seasonal patterns in SCE were associated with seasonal changes in photosynthesis and above-ground plant growth. SCE acclimatized in the high-temperature treatment, probably because of a loss of labile soil carbon. Elevated CO2 treatment increased the temperature sensitivity of SCE, probably through an increase in substrate availability.     

中国森林土壤呼吸模式

通过收集国内62个森林样地的土壤呼吸及相关因子数据,分析中国森林土壤呼吸模式.结果表明,中国森林土壤呼吸年通量与年均气温、年均降水量、年凋落物量和年地上净生产力均呈显著的线性正相关,土壤呼吸的Q10则与年均气温和年均降水量均呈显著的负相关.根系呼吸、枯枝落叶层呼吸与土壤呼吸间均呈显著线性正相关;土壤异养呼吸和枯枝落叶层呼吸与年凋落物量呈显著正相关;土壤异养呼吸与自养呼吸间呈显著的线性正相关.根系呼吸、枯枝落叶层呼吸、矿质土壤呼吸占土壤呼吸的比例均值分别为34.7%、20.2%和50.2%.矿质土壤呼吸所占比例与气温和降水量呈显著负相关,而异养呼吸所占比例则与降水量呈显著负相关.根系呼吸所占比例与根系呼吸之间呈渐近线关系(渐近值为45.9%).     

土壤-玉米系统中土壤呼吸强度及各组分贡献

用特殊设计的气体采集箱法对玉米生长期间潮土呼吸强度进行了测定。结果表明,施用150kgNhm^-2的裸地土壤CO2累积排放量是294g C m^-2,约为种植玉米土壤的一半。用根去除法测得的玉米对土壤呼吸的贡献率,苗期小于20％,拔节到收获期波动在30％-70％之间,全生长期平均为46％。玉米生长期间因土壤有机碳分解而释放出的CO2总量为2．94MgChm^-2,大约是0—40cm土层中土壤有机碳总储存量的8％,因此需要输入7．35Mghm^-2的碳含量40％的作物残留物才能平衡土壤中有机碳的损失,约为玉米收获时残留于土壤中根量的一倍,但与残留根量及玉米生长期间根系分泌到土壤的有机物量的总和相当,因此土壤中有机碳总体处于平衡状态。在玉米生长期间,施用氮肥可使土壤CO2排放量降低10％。土壤排放CO2主要受土壤温度的影响,温度效应Q10为1．90-2．88。     

马尾松林土壤呼吸组分对不同营林措施的响应

针对不同营林措施(对照、除灌、采伐1(15%)、采伐2(70%)后的三峡库区马尾松飞播林,采用LI-8100对其土壤呼吸组分的呼吸速率和土壤温度、湿度进行为期1年的连续观测分析表明,不同营林措施对土壤呼吸组分的影响不同。1)观测期内,各营林措施下凋落物层呼吸速率差异并不显著,对照、除灌、采伐1、采伐2的根呼吸速率均值分别为:1.00、0.83、0.86、1.11μmolCO_2m~(-2)s~(-1);采伐处理下矿质土壤呼吸显著高于对照和除灌(P0.05);2)与对照相比,营林措施并未显著改变凋落物呼吸对于土壤总呼吸的贡献率(18.78%-23.70%),但降低了根呼吸的贡献率,其中以采伐1最为显著(P0.05);除灌的矿质土壤呼吸贡献率(37.00%)与对照(38.32%)相近,而采伐1(45.63%)和采伐2(43.07%)均显著增加了矿质土壤呼吸的贡献率,矿质土壤呼吸的变化是造成采伐措施下土壤呼吸变化的主要土壤呼吸组分;3)营林后仅采伐2措施下土壤温湿度显著高于对照,土壤温湿度双因子模型较单因子模型能更好的解释土壤呼吸组分变化,但仅能解释其部分变化(4.6%-59.3%),仍需对营林后其他相关因子进行深入的综合研究。     

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。     

中亚热带常绿阔叶林不同演替阶段土壤呼吸及其温度敏感性的变化

为探明中亚热带地区常绿阔叶林演替序列土壤呼吸(R_s)的变化趋势及其影响机制, 在福建省建瓯市万木林自然保护区选取演替时间分别为15年(演替初期)、47年(演替中期)和110年(演替后期)三个不同演替阶段, 进行了为期1年的野外原位观测。结果发现: 演替初期、中期和后期的R_s分别为2.38、3.32和3.91 µmol·m ^-2·s ^-1, 温度敏感性(Q₁₀值)分别为2.64、1.97和1.79; 与演替初期相比, 演替后期的R_s显著增加64.29%, Q₁₀值显著降低32.30%; 不同演替阶段R_s的季节变化模式相似, 温度和含水量可分别解释季节变化的69.5% (初期)、81.9% (中期)和61.3% (后期); 回归分析发现, R_s与凋落物年归还量、细根生物量和土壤全氮和土壤有机质碳含量显著正相关。表明本研究区内植被演替促进了土壤碳排放, 降低了土壤呼吸的温度敏感性; 土壤碳输入增加、养分含量的提高和细根生物量增大是中亚热带常绿阔叶林R_s随演替进程逐渐增大的主要原因。     

Carbon isotopes in terrestrial ecosystem pools and CO2 fluxes

Stable carbon isotopes are used extensively to examine physiological, ecological, and biogeochemical processes related to ecosystem, regional, and global carbon cycles and provide information at a variety of temporal and spatial scales. Much is known about the processes that regulate the carbon isotopic composition (delta(13)C) of leaf, plant, and ecosystem carbon pools and of photosynthetic and respiratory carbon dioxide (CO(2)) fluxes. In this review, systematic patterns and mechanisms underlying variation in delta(13)C of plant and ecosystem carbon pools and fluxes are described. We examine the hypothesis that the delta(13)C of leaf biomass can be used as a reference point for other carbon pools and fluxes, which differ from the leaf in delta(13)C in a systematic fashion. Plant organs are typically enriched in (13)C relative to leaves, and most ecosystem pools and respiratory fluxes are enriched relative to sun leaves of dominant plants, with the notable exception of root respiration. Analysis of the chemical and isotopic composition of leaves and leaf respiration suggests that growth respiration has the potential to contribute substantially to the observed offset between the delta(13)C values of ecosystem respiration and the bulk leaf. We discuss the implications of systematic variations in delta(13)C of ecosystem pools and CO(2) fluxes for studies of carbon cycling within ecosystems, as well as for studies that use the delta(13)C of atmospheric CO(2) to diagnose changes in the terrestrial biosphere over annual to millennial time scales.     

北亚热带-南暖温带过渡区典型森林生态系统土壤呼吸及其组分分离

为阐明北亚热带．南暖温带过渡区典型森林生态系统土壤呼吸与其组分的碳排放速率及其对土壤水热变化的响应规律,本研究用壕沟断根法布设了土壤呼吸组分分离试验,并对土壤温湿度与呼吸速率进行了一年的观测。统计分析结果表明：土壤呼吸及其组分的呼吸速率在夏秋季较高、春冬季较低;土壤温度低于15℃时,呼吸速率的季节性变化主要受控于土壤温度;土壤温度高于15℃,而含水量低于0．20kg·kg^-1时,含水量对呼吸速率有明显的抑制作用;当土壤温湿度分别高于15℃与0．20kg·kg^-1,呼吸速率同时受到土壤温湿度的影响;土壤温湿度分别能解释呼吸速率季节性变化的80．36％～94．94％与7．20％～48．45％,温度的影响高于含水量;5种类型中土壤呼吸、自养与异养呼吸的Q10值变化范围分别为2．30～2．44、2．49～2．82与2．09～2．35,每个类型中自养呼吸的温度敏感性均为最高,其次为土壤呼吸,异养呼吸最低;锐齿栎幼林、锐齿栎老林、华山松与短柄袍针阔混交林、千金榆与短柄袍阔叶混交林及栓皮栎林自养呼吸日贡献率的变化范围分别为35．19％～57．73％、28．73％～49．24％、28．67％～49．82％、24．24％～41．70％与30．07％～46．22％,土壤呼吸的年排放量分别为1105．15gC·m^-2·a^-1、779．12gC·m^-2·a^-1、821．23gC·m^-2·a^-1、912．19gC·m^-2·a^-1与899．50gC·m^-2·a^-1,其中自养呼吸的年贡献率分别为52．89％、39．77％、44．17％、38．15％与43．26％,若考虑断根样方内细根分解的影响,则自养呼吸的年贡献率分别为65．56％、47．95％、53．80％、46．83％与53．86％;5个林分间的土壤呼吸速率、异养呼吸速率没有显著差异（P〉0．05）,而自养呼吸速率存在显著差异（P〈0．05）,类型间活细根生物量的差异解释了自养呼吸速率差异的94．71％。     

Partitioning soil respiration of temperate forest ecosystems in northeastern China

Quantifying soil respiration components and their relations to environmental controls are essential to estimate both local and regional carbon (C) budgets of forest ecosystems. In this study, we used the trenching-plot and infrared gas exchange analyzer approaches to determine heterotrophic (R_H) and autotrophic respiration (R_A) in the soil surface CO₂ flux for six major temperate forest ecosystems in northeastern China. The ecosystems were: Mongolian oak forest (dominated by Quercus mongolica), aspen-birch forest (dominated by Populous davidiana and Betula platyphylla), mixed wood forest (composed of P. davidiana, B. platyphylla, Fraxinus mandshurica, Tilia amurensis, Acer amono, etc.), hardwood forest (dominated by F. mandshurica, Juglans mandshurica, and Phellodendron amurense), Korean pine (Pinus koraiensis), and Dahurian larch (Larix gmelinii) plantations, representing the typical secondary forest ecosystems in this region. Our specific objectives were to: (1) quantify R_H and its relationship with the environmental factors of the forest ecosystems, (2) characterize seasonal dynamics in the contribution of root respiration to total soil surface CO₂ flux (RC), and (3) compare annual CO₂ fluxes from R_H and R_A among the six forest ecosystems. Soil temperature, water content, and their interactions significantly affected R_H in the ecosystems and accounted for 46.5%–78.8% variations in R_H. However, the environmental controlling factors of R_H varied with ecosystem types: soil temperature in hardwood and Dahurian larch forest ecosystems, soil temperature, and water content in the others. The RC for hardwood, poplar-birch, mixed wood, Mongolian oak, Korean pine, and Dahurian larch forest ecosystems varied between 32.40%–51.44%, 39.72%–46.65%, 17.94%–47.74%, 34.31%–37.36%, 33.78%–37.02%, and 14.39%–35.75%, respectively. The annual CO₂ fluxes from R_H were significantly greater than those from R_A for all the ecosystems, ranging from 337–540 g Cm^-2a^-1 and 88‐331 gCm^-2a^-1 for R_H and R_A, respectively. The annual CO₂ fluxes from R_H and R_A differed significantly among the six forest ecosystems.     

东北东部森林生态系统土壤呼吸组分的分离量化

对森林生态系统的土壤呼吸组分进行分离和量化,确定不同组分CO2释放速率的控制因子,是估测局域和区域森林生态系统碳平衡研究中必不可少的内容。采用挖壕法和红外气体分析法测定无根和有根样地的土壤表面CO2通量(RS),确定东北东部6种典型森林生态系统RS中异养呼吸(RH)和根系自养呼吸(RA)的贡献量及其影响因子。具体研究目标包括:(1)量化各种生态系统的RH及其与主要环境影响因子的关系;(2)量化各种生态系统RS中根系呼吸贡献率(RC)的季节动态;(3)比较6种森林生态系统RH和RA的年通量。土壤温度、土壤含水量及其交互作用显著地影响森林生态系统的RH(R2=0.465~0.788),但其影响程度因森林生态系统类型而异。硬阔叶林和落叶松人工林的RH主要受土壤温度控制,其他生态系统RH受土壤温度和含水量的联合影响。各个森林生态系统类型的RC变化范围依次为:硬阔叶林32.40%~51.44%;杨桦林39.72%~46.65%;杂木林17.94%~47.74%;蒙古栎林34.31%~37.36%;红松人工林33.78%~37.02%;落叶松人工林14.39%~35.75%。每个生态系统类型RH年通量都显著高于RA年通量,其变化范围分别为337~540 gC.m-2.a-1和88~331 gC.m-2.a-1。不同生态系统间的RH和RA也存在着显著性差异。     

The control of respiration in wheat (Triticum aestivum L.) leaves

The aim of this work was to discover whether the respiration of wheat (Triticum aestivum L. cv. Huntsman) leaves, transferred to darkness after 7 h photosynthesis, showed an initial period of wasteful respiration. For young and old leaves, CO₂ production and O₂ uptake after 7 h photosynthesis were up to 56% higher than at the end of an 8-h night. The maximum catalytic activities of citrate synthase (EC 4.1.3.7), aconitase (EC 4.2.1.3), fumarase (EC 4.2.1.2) and cytochrome-c oxidase (EC 1.9.3.1) at the end of the day did not differ from those at the end of the night. Changes in the contents of glucose 6-phosphate, fructose-1,6-bisphosphate, dihydroxyacetone phosphate, and -ketoglutarate did not as a group parallel the changes in the rate of respiration. The detailed distribution of label from [U-¹⁴C] sucrose supplied to leaves in the dark was similar at the end of the day and the end of the night. No correlation was observed between the rates of leaf respiration and extension growth. It is argued that the higher rate of respiration at the beginning of the night cannot be attributed to wasteful respiration.Abbreviation RQ respiratory quotient We thank Dr H. Thomas and Professor C.J. Pollock, Institute for Grassland and Environmental Research, Plas Gogerddan, Aberystwyth, UK for their generous help in measuring leaf extension. R.H.A. thanks the Science and Engineering Research Council for a studentship.     

亚热带毛竹人工林土壤呼吸组分动态变化及其影响因素

利用Li-8100土壤碳通量测量系统,研究了2013年4月—2014年3月浙江临安市毛竹人工林土壤呼吸、异养呼吸和自养呼吸速率的动态变化规律.结果表明：毛竹人工林土壤总呼吸速率、异养呼吸速率和自养呼吸速率均呈现出明显的季节变化特征,最高值出现在7月,最低值出现在1月,年平均值分别为2.93、1.92和1.01 μmol CO₂·m^-2·s^-1.毛竹林土壤总呼吸、异养呼吸和自养呼吸年累积CO₂排放量分别为37.25、24.61和12.64 t CO₂·hm^-2·a^-1.土壤呼吸各组分均与土壤5 cm温度呈显著指数相关,土壤总呼吸、异养呼吸和自养呼吸的温度敏感系数Q₁₀值分别为2.05、1.95和2.34.土壤总呼吸速率、异养呼吸速率与土壤水溶性有机碳(WSOC)含量均呈显著相关,而自养呼吸与WSOC无显著相关性;土壤呼吸各组分与土壤含水〖JP2〗量以及微生物生物量碳均无显著相关性.土壤温度是影响毛竹人工林土壤呼吸及其组分季节变化的主要驱动因子,土壤WSOC含量是影响土壤总呼吸和异养呼吸的重要环境因子.     

Soil and total ecosystem respiration in agricultural fields: effect of soil and crop type

A study was made of the effect of soil and crop type on the soil and total ecosystem respiration rates in agricultural soils in southern Finland. The main interest was to compare the soil respiration rates in peat and two different mineral soils growing barley, grass and potato. Respiration measurements were conducted during the growing season with (1) a closed-dynamic ecosystem respiration chamber, in which combined plant and soil respiration was measured and (2) a closed-dynamic soil respiration chamber which measured only the soil and root-derived respiration. A semi-empirical model including separate functions for the soil and plant respiration components was used for the total ecosystem respiration (TER), and the resulting soil respiration parameters for different soil and crop types were compared. Both methods showed that the soil respiration in the peat soil was 2–3 times as high as that in the mineral soils, varying from 0.11 to 0.36 mg (CO₂) m^–2 s^–1 in the peat soil and from 0.02 to 0.17 mg (CO₂) m^–2 s^–1 in the mineral soils. The difference between the soil types was mainly attributed to the soil organic C content, which in the uppermost 20 cm of the peat soil was 24 kg m^–2, being about 4 times as high as that in the mineral soils. Depending on the measurement method, the soil respiration in the sandy soil was slightly higher than or similar to that in the clay soil. In each soil type, the soil respiration was highest on the grass plots. Higher soil respiration parameter values (R_s0, describing the soil respiration at a soil temperature of 10°C, and obtained by modelling) were found on the barley than on the potato plots. The difference was explained by the different cultivation history of the plots, as the potato plots had lain fallow during the preceding summer. The total ecosystem respiration followed the seasonal evolution in the leaf area and measured photosynthetic flux rates. The 2–3-fold peat soil respiration term as compared to mineral soil indicates that the cultivated peat soil ecosystem is a strong net CO₂ source.