Biotic and abiotic factors controlling the spatial and temporal variation of soil respiration in an agricultural ecosystem

Based on the continuous observation of soil respiration and environmental factors in a maize ecosystem from late April to late September in 2005, the spatial and temporal variation of soil respiration and their controlling factors were analyzed. There was a significant spatial pattern for soil respiration at the plant scale and higher soil respiration rates tended to occur near the maize plant during the growing season. On one measurement moment, root biomass (B) in soil collars exerted significant influence on the spatial pattern of soil respiration under the relatively homogeneous environmental conditions. A linear relationship existed between soil respiration rate and root biomass

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连作对杨树人工林土壤呼吸及各组分的影响

土壤呼吸是整个陆地生态系统碳循环的关键过程之一.以山东大汶河沿岸沙地不同连作代数杨树人工林(1代林、2代林和3代林)为研究对象,利用ACE自动土壤呼吸监测系统(UK),对3种林分一个生长季(4-10月)的土壤呼吸速率及温湿度进行测定,同时采用壕沟法对3种林分的土壤呼吸进行组分分离,并对土壤呼吸及各组分与土壤温湿度的关系进行模型模拟.结果表明:3种林分的土壤呼吸速率(RS)、自养呼吸速率(RA)和异养呼吸速率(RH)的月变化均为明显的单峰格局;生长季内,3种林分RA贡献率月差异明显,平均贡献率为40.04％;RS及其组分与5 cm处土壤温度存在显著指数关系,与土壤体积含水量没有相关性,土壤温度与土壤体积含水量的复合模型对土壤呼吸速率变化解释能力为80％ ～ 94％;3种林分生长季平均土壤呼吸速率分别为3.12、3.08和2.66μmol/(m2·s),3代林RS和RH均显著低于1代林和2代林.连作导致杨树人工林地土壤呼吸速率减弱,土壤理化性质和微生物量的差异是导致林分间土壤呼吸速率差异的主要原因.揭示连作对杨树人工林土壤呼吸及各组分的影响,以及作用机制,为全面探究杨树人工林连作效应及土壤碳循环,提供数据支撑.     

敦煌市葡萄园土壤呼吸及其组分变化

[目的]分析西北干旱区葡萄园土壤呼吸及其组分变化特征,同时探究其与土壤温湿度的关系,为西北干旱区的土壤碳排放估算及其特色农业发展提供一定的参考.[方法]于2019年6-12月采用LI-8100 A土壤呼吸测量系统和自动气象站观测甘肃省敦煌市南湖绿洲葡萄园的土壤呼吸及环境因子,通过根排除法区分土壤呼吸组分.[结果]①观测...     

长期定位施肥下黑土呼吸的变化特征及其影响因素

阐明长期不同施肥下的土壤呼吸特征及其影响机制对黑土区固碳减排研究至关重要。该研究基于1990年开始的国家土壤肥力与肥料效益监测网站-吉林省公主岭市黑土监测基地,选取不施肥(CK)、单施氮磷钾肥(NPK)、无机肥配施低量有机肥(NPKM1)、1.5倍的无机肥配施低量有机肥(1.5(NPKM1))、无机肥配施高量有机肥(NPKM2)和无机肥配施秸秆(NPKS)6个处理,明确了长期不同施肥下土壤总呼吸和异养呼吸的季节变化特征,并分析了土壤温度、水分、微生物量碳氮、铵态氮、硝态氮与土壤呼吸和异养呼吸的关系。结果表明:长期有机无机肥配施可以显著提高土壤有机碳、全氮、土壤速效磷、有效钾的含量和土壤活性有机碳库组分含量(P0.05);与不施肥相比,长期有机无机肥配施和无机配施秸秆处理分别显著增加土壤呼吸及异养呼吸碳累积排放量56.32%~86.54%和70.01%~100.93%;根系呼吸对土壤呼吸的整体贡献为23.68%~34.30%;相关分析表明,土壤呼吸速率和异养呼吸速率与土壤温度极显著正相关(P0.01),与土壤含水率呈显著负相关(P0.01),土壤温度可以分别解释土壤呼吸和异养呼吸变化的42.79%和39.61%;土壤微生物量碳氮、土壤硝态氮均与土壤呼吸速率和异养呼吸速率极显著相关(P0.01),土壤微生物量碳氮、土壤硝态氮可以分别解释土壤呼吸和异养呼吸变化的78.42%和77.18%,58.33%和56.79%,59.29%和59.14%;土壤铵态氮虽然显著影响土壤呼吸速率(P0.05),可以解释土壤呼吸变化的5.56%,但其对异养呼吸速率的影响不显著。综合来看,微生物量碳对土壤呼吸及异养呼吸的影响最大,而土壤含水率(15%)越高则土壤呼吸越弱;无机配施秸秆处理可以提高土壤碳库组分含量,且作物生育期内土壤呼吸及异养呼吸碳累积释放量均低于等氮量下施用有机肥(NPKM1)的处理,为最佳的农田管理措施。     

Modelling soil and root respiration in a cotton field using the DNDC model

The DNDC model was able to simulate the temporal variation in soil respiration, although it underestimated the cumulative CO₂ emission by 15%. A good correlation was found between predicted and measured root respiration. However, this model is limited in its ability to simulate heterotrophic respiration which was underestimated by 59%. The sensitivity tests showed that temperature, precipitation, soil organic C content, fertilization, and irrigation had a positive effect on soil respiration.     

区分纯根呼吸和根际微生物呼吸的争议

定量区分土壤呼吸各组成成分是评价陆地生态系统地下 C 平衡和能量平衡的重要基础.目前,国际上有关区分纯根呼吸和根际微生物呼吸出现了较大的争议,争议的焦点集中于根呼吸、根际微生物呼吸和自养呼吸等术语的涵义及区分纯根呼吸和根际微生物呼吸的必要性两个方面.不同研究者对术语理解的差异以及不同研究之间区分方法、研究目的和实验尺度的不同,是争议产生的主要根源.此外,实验技术的不足也增加了区分纯根呼吸和根际微生物呼吸的不确定性.目前,在全球变暖的背景下,地下生态系统C素的分配和流动将发生很多未知变化.根际微系统作为地下生态系统的重要组成部分,其C素流动和微生物区系的变化将对土壤C库及土壤温室气体排放产生深刻影响.纯根呼吸和根际微生物呼吸作为根际微系统中C索分配的两个重要去向,定量区分两者将成为土壤呼吸各组分区分研究的下一个重要内容.     

Root and Microbial Contributions to Soil Respiration during a Soybean Growing Season

Soil respiration is an important process for carbon geochemical cycling. Based on our five long‐term fertilizer experiments, soil respiration was measured using pot experiments with or without planting soybean. Soil respiration rates and soybean root biomass were determined at different observation times. Soil respiration rates due to soil microbial activity could be estimated by extrapolating a newly derived regressive equation at zero root biomass. Soil microbial respiration rates in the control were also observed directly, ranging from 16.0 to 42.7 mg carbon (C) m^?2 h^?1. Average soil microbial respiration rates from the regression analyses and direct observations were 32.9 and 27.8 mg C m^?2 h^?1, respectively. The average proportions of soil respiration rates due to the soybean growth were 63.0% using the regressive equation and 69.8% from direct observation. Therefore, the application of these two methods could provide new insight for separating plant root respiration from soil microbial respiration, which is important for estimating their individual contributions to atmospheric carbon dioxide.     

Soil respiration rate and its sensitivity to temperature in pasture systems of dry-tropics

Abstract

Tree clearing is a topical issue the world over. In Queensland, the high rates of clearing in the past were mainly to increase pasture production. The present research evaluates the impact of clearing on some soil biological properties, i.e. total soil respiration, root respiration, microbial respiration, and microbial biomass (C and N), and the response of soil respiration to change in temperature.

In-field and laboratory (polyhouse) experiments were undertaken. For in-field studies, paired cleared and uncleared pasture plots were selected to represent three major tree communities of the region, i.e. Eucalyptus populnea, E. melanophloia, and Acacia harpophylla. The cleared sites were chosen to represent three different time-since-clearing durations (5, 11–13, and 33 years; n=18 for cleared and uncleared plots) to determine the temporal impact of clearing on soil biological properties. Experiments were conducted in the polyhouse to study in detail the response of soil respiration to changes in soil temperature and soil moisture, and to complement in-field studies for estimating root respiration.

The average rate of CO₂ emission was 964 g CO₂/m²/yr, with no significant difference (P<0.05) among cleared and uncleared sites. Microbial respiration and microbial biomass were greater at uncleared compared with those at cleared sites. The Q ₁₀-value of 1.42 (measured for different seasons in a year) for in-field measurements suggested a small response of soil respiration to soil temperature, possibly due to the limited availability of soil moisture and/or organic matter. However, results from the polyhouse experiment suggested greater sensitivity of root respiration to temperature change than for total soil respiration. Since root biomass (herbaceous roots) was greater at the cleared than at uncleared sites, and root respiration increased with an increase in temperature, we speculate that with rising ambient temperature and consequently soil temperature, total soil respiration in cleared pastures will increase at a faster rate than that in uncleared pastures.     

长期施肥对冬小麦/夏玉米轮作下土壤呼吸及其组分的影响

为阐明施肥对农田土壤呼吸的影响,于2002年6月至2003年6月在河南封丘潮土上进行的长期试验地上测定了玉米/冬小麦轮作系统下的土壤呼吸,分析了土壤呼吸与土壤水分和温度的关系,并利用统计分析方法研究了土壤呼吸各组分的贡献。土壤呼吸变化与作物生长发育规律一致,施肥通过影响作物的生长发育而对土壤呼吸产生影响。不同作物生长期,根际呼吸、土壤原有机质以及前作根茬和有机肥中碳对土壤呼吸的贡献不同。玉米期土壤有机质、根际呼吸、前作根茬和有机肥中的碳对土壤呼吸的平均贡献率分别为70.19%、19.43%和10.37%;而小麦生长期则分别为23.75%、62.26%和14.11%。由于不同施肥处理的作物生长量、土壤有机质含量以及前作根茬和有机肥施入而进入的有机碳量不同,造成土壤呼吸个体上存在着较大差异。土壤有机质的消耗主要发生在玉米生长阶段。     

Partitioning CO2 Respiration among Soil,Rhizosphere Microorganisms,and Roots of Wheat under Greenhouse Conditions

Abstract

The measurement of soil, root, and rhizomicrobial respiration has become very important in evaluating the role of soil on atmospheric carbon dioxide (CO₂) concentration. The objective of this study was to partition root, rhizosphere, and nonrhizosphere soil respiration during wheat growth. A secondary objective was to compare three techniques for measuring root respiration: without removing shoot of wheat, shading shoot of wheat, and removing shoot of wheat. Soil, root, and rhizomicrobial respiration were determined during wheat growth under greenhouse conditions in a Carwile loam soil (fine, mixed, superactive, thermic Typic Argiaquolls). Total below ground respiration from planted pots increased after planting through early boot stage and then decreased through physiological maturity. Root‐rhizomicrobial respiration was determined by taking the difference in CO₂ flux between planted and unplanted pots. Also, root and rhizomicrobial respirations were directly measured from roots by placing them inside a Mason jar. It was determined that root‐rhizomicrobial respiration accounted for 60% of total CO₂ flux, whereas 40% was from heterotrophic respiration in unplanted pots. Rhizomicrobial respiration accounted for 18 to 25% of total CO₂ flux. Shade and no‐shoot had similar effects on root respiration. The three techniques were not significantly different (p>0.05).     

Effects of simulated nitrogen deposition on soil respiration components and their temperature sensitivities in a semiarid grassland

Nitrogen (N) deposition to semiarid ecosystems is increasing globally, yet few studies have investigated the ecological consequences of N enrichment in these ecosystems. Furthermore, soil CO₂ flux – including plant root and microbial respiration – is a key feedback to ecosystem carbon (C) cycling that links ecosystem processes to climate, yet few studies have investigated the effects of N enrichment on belowground processes in water-limited ecosystems. In this study, we conducted two-level N addition experiments to investigate the effects of N enrichment on microbial and root respiration in a grassland ecosystem on the Loess Plateau in northwestern China. Two years of high N additions (9.2 g N m⁻² y⁻¹) significantly increased soil CO₂ flux, including both microbial and root respiration, particularly during the warm growing season. Low N additions (2.3 g N m⁻² y⁻¹) increased microbial respiration during the growing season only, but had no significant effects on root respiration. The annual temperature coefficients (Q₁₀) of soil respiration and microbial respiration ranged from 1.86 to 3.00 and 1.86 to 2.72 respectively, and there was a significant decrease in Q₁₀ between the control and the N treatments during the non-growing season but no difference was found during the growing season. Following nitrogen additions, elevated rates of root respiration were significantly and positively related to root N concentrations and biomass, while elevated rates of microbial respiration were related to soil microbial biomass C (SMBC). The microbial respiration tended to respond more sensitively to N addition, while the root respiration did not have similar response. The different mechanisms of N addition impacts on soil respiration and its components and their sensitivity to temperature identified in this study may facilitate the simulation and prediction of C cycling and storage in semiarid grasslands under future scenarios of global change.     

Partitioning root and microbial contributions to soil respiration in Leymus chinensis populations

Based on the enclosed chamber method, soil respiration measurements of Leymus chinensis populations with four planting densities (30, 60, 90 and 120 plants/0.25 m²) and blank control were made from July 31 to November 24, 2003. In terms of soil respiration rates of L. chinensis populations with four planting densities and their corresponding root biomass, linear regressive equations between soil respiration rates and dry root weights were obtained at different observation times. Thus, soil respiration rates attributed to soil microbial activity could be estimated by extrapolating the regressive equations to zero root biomass. The soil microbial respiration rates of L. chinensis populations during the growing season ranged from 52.08 to 256.35 mg CO₂ m⁻² h⁻¹. Soil microbial respiration rates in blank control plots were also observed directly, ranging from 65.00 to 267.40 mg CO₂ m⁻² h⁻¹. The difference of soil microbial respiration rates between the inferred and the observed methods ranged from −26.09 to 9.35 mg CO₂ m⁻² h⁻¹. Some assumptions associated with these two approaches were not completely valid, which might result in this discrepancy. However, these two methods' application could provide new insights into separating root respiration from soil microbial respiration. The root respiration rates of L. chinensis populations with four planting densities could be estimated based on measured soil respiration rates, soil microbial respiration rates and corresponding mean dry root weight, and the highest values appeared at the early stage, then dropped off rapidly and tended to be constant after September 10. The mean proportions of soil respiration rates of L. chinensis populations attributable to the inferred and the observed root respiration rates were 36.8% (ranging from 9.7 to 52.9%) and 30.0% (ranging from 5.8 to 41.2%), respectively. Although root respiration rates of L. chinensis populations declined rapidly, the proportion of root respiration to soil respiration still increased gradually with the increase of root biomass.     

日本湿润的温带草地根际和微生物呼吸对土壤CO2排放的贡献及环境影响因素

Soil CO2 efflux, root mass, and root production were investigated in a humid temperate grassland of Japan over a growing season (Apr. to Sep.) of 2005 to reveal seasonal changes of soil CO2 efflux, to separate the respective contributions of root and microbial respiration to the total soil CO2 efflux, and to determine the environmental factors that control soil respiration. Minimal microbial respiration rate was estimated based on the linear regression equations between soil CO2 efflux and root mass at different experimental sites. Soil CO2 efflux, ranging from 4.99 to 16.29 μmol CO2 m-2 s-1, depended on the seasonal changes in soil temperature. The root mass at 0--10 cm soil depth was 0.82 and 1.27 kg m-2 in Apr. and Sep., respectively. The root mass at 0--10 cm soil depth comprised 60% of the total root mass at 0--50 cm soil depth. The root productivity at 0--30 cm depth varied from 8 to 180 g m-2 month-1. Microbial and root respiration rates ranged from 1.35 to 5.51 and 2.72 to 12.06 μmol CO2 m-2 s-1, respectively. The contribution of root respiration to the total soil CO2 efflux averaged 53%, ranging from 33% to 72%. The microbial respiration rate was exponentially related to soil temperature at 10 cm depth (R2 = 0.9400, P = 0.002, n = 6), and the root respiration rate was linearly related to the root production at 0--30 cm depth (R2 = 0.6561, P = 0.042, n = 6).     

Long-term (42 years) effect of thinning on soil CO2 emission in a mixed broadleaved-Korean pine (Pinus koraiensis) forest in Northeast China

Thinning is an important forest management practice that has great potential to influence regional soil carbon storage and dynamics.The present study measured soil respiration(RS,the efflux of CO2 emitted)and its two components(heterotrophic(RH)and autotrophic(RA)respiration)from soil 42 years after thinning in comparison to un-thinning(control).Autotrophic respiration was significantly greater in the thinning plot,approximately 44%higher compared to the control,while both RSand RHwere slightly,but not significantly,higher in the thinning plot.Higher fine root biomass might have contributed to the higher RAin the thinning plot.Both RSand RHshowed clear soil temperature-dependent seasonal patterns,whereas RAwas less responsive to changes in temperature,especially within one specific season.The annual and season-specific temperature sensitivities of RSand RHwere lower in the thinning plot,specifically during the mid-growing season.Furthermore,variations in the season-specific temperature sensitivity of RSand RHwere less intense in the thinning plot.We conclude that forest thinning can reduce the temperature sensitivity of RSand RHduring the mid-growing season and increase soil CO2 emission in the long term.     

氮沉降增加和人类干扰对半干旱草地土壤呼吸的影响

土壤呼吸是全球碳循环的主要流通途径,但半干旱草地土壤呼吸对全球变化和人类干扰的响应机制尚不清楚。该研究以科尔沁沙质草地为研究对象,研究氮沉降增加、人类干扰(火烧、刈割)及其交互作用对沙质草地整个植物生长季(2017年5-9月)土壤呼吸的影响。结果表明,土壤呼吸呈明显的季节动态变化,在7月最高。氮沉降增加使根呼吸显著提高42%,土壤呼吸显著增加17%(P0.001),但对微生物呼吸无显著影响。火烧使根呼吸显著提高25%(P0.01),但使微生物呼吸降低13%(P0.001),从而导致土壤呼吸未显著增加(P0.05)。刈割显著降低了土壤温度,诱导微生物呼吸和根呼吸分别降低13%(P0.001)和20%(P0.05),从而显著抑制土壤呼吸(P0.001)。氮沉降增强了火烧对土壤呼吸的促进作用,但未显著影响刈割对土壤呼吸的抑制作用。氮沉降、火烧和刈割对土壤呼吸的不同影响可对全球变化背景下沙质草地土壤碳循环的预测和天然草地的科学管理提供参考。     

Root exclusion methods for partitioning of soil respiration: Review and methodological considerations

Soil respiration is a vital process in all terrestrial ecosystems, through which the soil releases carbon dioxide (CO₂) into the atmosphere at an estimated annual rate of 68-101 Pg carbon, making it the second highest terrestrial contributor to carbon fluxes. Since soil respiration consists of autotrophic and heterotrophic constituents, methods for accurately determining the contribution of each constituent to the total soil respiration are critical for understanding their differential responses to environmental factors and aiding the reduction of CO₂ emissions. Owing to its low cost and simplicity, the root exclusion (RE) technique, combined with manual chamber measurements, is frequently used in field studies of soil respiration partitioning. Nevertheless, RE treatments alter the soil environment, leading to potential bias in respiration measurements. This review aims to elucidate the current understanding of RE, i.e., trenching (Tr) and deep collar (DC) insertion techniques, by examining soil respiration partitioning studies performed in several ecosystems. Additionally, we discuss methodological considerations when using RE and the combinations of RE with stable isotopic and modeling approaches. Finally, future research directions for improving the Tr and DC insertion methods in RE are suggested.     

Three‐source partitioning of CO2 efflux from maize field soil by 13C natural abundance

A natural‐¹³C‐labeling approach—formerly observed under controlled conditions—was tested in the field to partition total soil CO₂ efflux into root respiration, rhizomicrobial respiration, and soil organic matter (SOM) decomposition. Different results were expected in the field due to different climate, site, and microbial properties in contrast to the laboratory. Within this isotopic method, maize was planted on soil with C₃‐vegetation history and the total CO₂ efflux from soil was subdivided by isotopic mass balance. The C₄‐derived C in soil microbial biomass was also determined. Additionally, in a root‐exclusion approach, root‐ and SOM‐derived CO₂ were determined by the total CO₂ effluxes from maize (Zea mays L.) and bare‐fallow plots. In both approaches, maize‐derived CO₂ contributed 22% to 35% to the total CO₂ efflux during the growth period, which was comparable to other field studies. In our laboratory study, this CO₂ fraction was tripled due to different climate, soil, and sampling conditions. In the natural‐¹³C‐labeling approach, rhizomicrobial respiration was low compared to other studies, which was related to a low amount of C₄‐derived microbial biomass. At the end of the growth period, however, 64% root respiration and 36% rhizomicrobial respiration in relation to total root‐derived CO₂ were calculated when considering high isotopic fractionations between SOM, microbial biomass, and CO₂. This relationship was closer to the 50% : 50% partitioning described in the literature than without fractionation (23% root respiration, 77% rhizomicrobial respiration). Fractionation processes of ¹³C must be taken into account when calculating CO₂ partitioning in soil. Both methods—natural ¹³C labeling and root exclusion—showed the same partitioning results when ¹³C isotopic fractionation during microbial respiration was considered and may therefore be used to separate plant‐ and SOM‐derived CO₂ sources.     

Soil respiration as affected by vegetation types in a semiarid region of China

There are variations in soil respiration across vegetation types; however, it is unclear which factors are mainly responsible for the variations. A field experiment was conducted in 2008 and 2009 in a semiarid region of China to investigate the daytime and monthly variation of soil respiration across vegetation types and to determine the factors controlling the variation. An automated portable soil carbon dioxide (CO₂) flux measurement system was used to measure the soil respiration in shrubland, grassland, fallow land, and cropland during the growing periods. The results showed that the relative daytime variation amplitude of soil respiration in the fallow land and cropland was as small as that of shrubland and grassland during July, but greater than that of shrubland and grassland during August and October. A hysteresis effect for the relationship between the daytime soil respiration and daytime soil temperature was observed for all four vegetation types. There was also a hysteresis effect for the relationship between the daytime soil respiration and daytime air temperature for the grassland. Over the study period, the monthly soil respiration rates of the fallow land and cropland were statistically comparable and significantly lower than those of the shrubland and grassland, with the exception of August, during which the monthly soil respiration of the cropland was as great as that of shrubland and grassland. The factors responsible for the monthly soil respiration variation across the vegetation types differed from month to month. In general, the soil temperature and soil water content were mainly responsible in August and September; however, the root biomass predominated in July and October. The results are valuable for accurately estimating regional carbon fluxes by considering the temporal variability of the soil respiration variation across vegetation types in the Loess Plateau of China.     

改变碳输入对南亚热带海岸沙地典型天然次生林土壤呼吸的影响

土壤呼吸是陆地生态系统碳循环的一个重要过程,开展环境因子和改变碳输入对土壤呼吸影响的研究具有重要意义.2015年3月-2016年2月,在南亚热带海岸沙地典型天然次生林中设置去除根系、去除凋落物、加倍凋落物和对照4种处理,采用LI-8100连续观测改变碳输入对土壤呼吸的影响.结果表明:改变碳输入没有显著影响l0cm土壤温度和湿度(P＞0.05);不同处理土壤呼吸速率存在明显的季节变化,表现为夏高冬低,最大值出现在5月或者6月,最小值出现在11月或12月;土壤呼吸速率的年均值为加倍凋落物＞对照＞去除根系＞去除凋落物,不同改变碳输入方式均降低了土壤呼吸的Q10值;矿质土壤呼吸、凋落物呼吸和根系呼吸对土壤总呼吸的贡献分别为41.24％、43.29％和15.45％;不同处理土壤呼吸速率分别与土壤温度和湿度呈显著的指数和线性正相关(P＜0.05),双因子模型能解释土壤呼吸变异的45％ ～ 69％;改变碳输入影响土壤可溶性有机碳和微生物生物量碳,不同处理土壤呼吸速率与可溶性有机碳和微生物生物量碳呈正相关.因此,改变碳输入引起土壤易变碳的变化进而影响土壤呼吸.     

增温对寒潮期间亚热带常绿阔叶天然林土壤呼吸的影响

全球变暖增加寒潮天气发生的频率和强度,影响土壤呼吸及其各组分,但有关增温和寒潮对亚热带森林土壤呼吸及其各组分的影响研究仍十分缺乏。通过壕沟法分离土壤呼吸,并利用土壤呼吸高频自动监测系统研究增温对寒潮期间亚热带常绿阔叶天然林土壤总呼吸、根呼吸与微生物呼吸的影响。结果表明：(1)寒潮发生时,对照和增温处理中土壤总呼吸速率分别显著下降45.93%和25.68%,土壤微生物呼吸速率分别显著下降51.25%和35.54%。但寒潮并没有影响增温处理中根呼吸速率,而对照处理中根呼吸速率在寒潮时显著下降39.72%。(2)观测期间,增温对总呼吸和根呼吸的日动态模式的影响在寒潮不同阶段具有明显差异,增温导致寒潮发生前后土壤总呼吸和根呼吸日峰值出现时间分别提前1,2 h,而寒潮发生时,对照和增温处理中土壤总呼吸和根呼吸的日峰值出现时间同步。(3)观测期间,增温后土壤总呼吸、根呼吸和微生物呼吸的温度敏感性(Q₁₀值)均下降,而根呼吸的Q₁₀值均高于微生物呼吸。因此,准确了解寒潮等极端天气下的土壤总呼吸、根呼吸和微生物呼吸的变化及其对增温的响应,对于提高气候变暖后土...