基于稳定碳同位素技术研究大气CO2浓度升高对植物-土壤系统碳循环的影响

大气CO₂浓度升高影响植物光合作用过程和生物量积累,改变植物地上和地下生物量的动态分配.土壤有机质的形成和周转依赖于植物组分的输入,因此,CO₂浓度升高所造成的植物生理和代谢的变化对土壤碳库收支平衡具有重要影响.采用稳定碳同位素(¹³C)技术研究土壤-植物系统的碳循环可阐明大气CO₂浓度升高条件下光合碳在植物各器官的分配特征和时间动态,明确光合碳在土壤中的积累、分解与迁移转化过程以及对土壤有机碳库周转的影响.本文综述了基于¹³C自然丰度法或¹³C示踪技术研究大气CO₂浓度升高对土壤-植物系统碳循环的影响,主要包括:1)对植物光合作用的同位素分馏的影响;2)对植物光合碳(新碳)分配动态的影响;3)对土壤有机碳新老碳库动态以及微生物转化过程的影响.明确上述过程及其调控机制可为预测CO₂浓度升高对陆地生态系统碳循环及源汇效应的长期影响奠定基础.     

大气CO2浓度升高对稻田土壤氮素的影响

利用中国稻/麦轮作FACE(Free-Air Carbon=Dioxide Enrichment)试验平台,研究大气CO₂浓度升高200 μmol·mol^-1(周围大气中CO₂浓度约370 μmol·mol^-1)对稻季各生育期不同深度土壤溶液NH₄⁺-N和NO₃^--N浓度的影响.结果表明：高CO2浓度条件下耕层土壤溶液NH₄⁺-N浓度在水稻生育前期有所增加,但在生育后期明显下降;大气CO₂浓度升高增加了稻季5、15、30、60和90 cm处土壤溶液NO₃^--N浓度,分别比对照平均提高了46.5%、36.8%、23.3%、103.7%和42.7%,在60和90 cm处差异分别达到统计上的极显著和显著水平.     

大气CO2浓度升高对春玉米土壤呼吸的影响

为探讨春玉米不同生育期土壤呼吸速率对大气CO₂浓度升高的响应,以黄土高原旱作春玉米为研究对象,通过改进的开顶式气室（OTC）模拟大气CO₂浓度升高的环境,在田间条件下设置自然大气CO₂浓度（CK）、OTC对照（OTC,CO₂浓度同CK）与CO₂浓度升高（OTC+CO₂,OTC系统自动控制CO₂浓度700 μmol/mol）3种处理。研究了旱区覆膜高产栽培春玉米播前（V0）、六叶期（V6）、九叶期（V9）、吐丝期（R1）、乳熟期（R3）、蜡熟期（R5）及完熟期（R6）土壤呼吸速率对大气CO₂浓度升高的响应特征,以及大气CO₂浓度升高对土壤呼吸速率的温度与水分效应的影响。研究发现,OTC+CO₂处理土壤呼吸速率,与CK相比,在R3和R5期分别增加43%、104%（P<0.05）,与OTC相比,R3和R5期分别提升了63%、109%（P<0.05）;OTC处理与CK相比,在整个生育期对土壤呼吸影响不显著;3种处理条件下,土壤温度和水分随生育期变化趋势基本一致,土壤呼吸速率与土壤温度和水分分别呈指数相关和抛物线型相关;结果表明：大气CO₂浓度升高对土壤呼吸的影响因生育期而异,土壤温度和土壤水分是影响旱地农田土壤呼吸的重要因素,CO₂浓度升高会使土壤呼吸温度效应值（Q₁₀）降低,土壤呼吸对土壤水分响应的阈值提高。     

复合群落土壤微生物和酶活性对大气CO2浓度和温度升高的响应

应用自控、封闭、独立的生长室系统,研究川西亚高山林线复合群落根际、非根际土壤微生物数量以及根际、非根际土壤酶活性对大气CO2浓度升高(环境CO2浓度+350(±25)μmol.mol-1,EC)和温度升高(环境温度+2.0(±0.5)℃,ET)及其两者同时升高(ECT)的响应。结果表明:(1)与对照(CK)相比,EC、ET和ECT处理能够增加土壤根际微生物数量,但不同微生物种类对EC、ET和ECT的反应有所差异。(2)不同种类的根际土壤酶对EC、ET和ECT的响应不同。(3)与CK相比,EC、ET和ECT的非根际土壤微生物数量以及非根际土壤酶活性均无显著提高。(4)EC、ET和ECT处理对复合群落土壤微生物总数的根际效应明显;除ET处理的转化酶为负根际效应,其余处理的过氧化氢酶,脲酶及转化酶均表现为正根际效应。     

大气CO2和O3浓度升高对水稻根际土壤胞外酶活性的影响

大气二氧化碳(CO₂)和臭氧(O₃)浓度升高是全球气候变化的主要特征之一。土壤胞外酶作为维持土壤生态系统服务功能的重要参与者,其活性对于大气CO₂和O₃浓度升高的响应特征及驱动机制研究,以及应对并缓解未来全球气候变化具有重要意义。本研究采用开顶式气室(OTCs)分别模拟大气CO₂浓度升高(环境大气+200μmol·mol^-1,eCO₂)、大气O₃浓度升高(环境大气+0.04μmol·mol^-1,eO₃)及其交互处理(环境大气+200μmol·mol^-1 CO₂+0.04μmol·mol^-1 O₃,eCO₂+eO₃),探究水稻根际土壤胞外酶活性对大气CO₂和O₃浓度升高的响应。结果表明：与对照(环境...     

全球大气CO2浓度升高对土壤微生物的影响

全球大气CO2浓度升高对土壤微生物生态系统的影响已引起广泛关注。本文从土壤微生物群落结构、微生物区系、土壤呼吸、微生物生物量以及土壤酶活性方面对大气高浓度CO2的响应进行了综述。由于提供高浓度CO2的实验系统、所选植物材料以及土壤特性等的不同,大气CO2浓度升高对土壤微生物群落结构、微生物区系、土壤呼吸、微生物生物量以及土壤酶活性的影响并未得出一致结论。但高浓度CO2对土壤微生物生态系统的影响是存在的。     

大气CO2浓度升高对土壤微生物的影响

自人类进入工业化时代以来,由于化石燃料的燃烧和森林的大面积破坏,大气中ＣＯ２的浓度已由工业革命以前的２８０μｌ·Ｌ－１增加到现在的３５０μｌ·Ｌ－１,仅从１９５７年至今的几十年间,大气中ＣＯ２的浓度就增加了２０％,预计到下个世纪下半叶,大气中ＣＯ２的...     

大气CO2浓度和气温升高下硝化抑制剂后效对大豆土壤无机氮和N2O排放的影响

为探究气候变化背景下,小麦-大豆轮作体系中小麦季施用硝化抑制剂对大豆土壤无机氮、N₂O排放及相关酶活性的后效作用,在控制气室内设置了不同的大气CO₂浓度(400和600μmol/mol)和气温(环境温度T和T+2℃),在此基础上测定了小麦季添加硝化抑制剂时大豆土壤的硝态氮和铵态氮的含量、土壤硝化-反硝化相关酶活性以及N₂O排放量。结果表明,小麦季添加硝化抑制剂配合麦秸还田,使大豆土壤的硝态氮和铵态氮均有所增加,但是对土壤硝化-反硝化酶的活性影响较小。升温(ET)使大豆土壤硝态氮含量显著增加,而铵态氮含量显著降低;大气CO₂浓度增加(EC)或同时升高气温和CO₂浓度(ECT),土壤硝态氮和铵态氮的含量均有所增加,但与环境高温和CO₂浓度(CK)下的无机氮含量差异不显著。不同环境条件下的土壤硝化-反硝化酶的活性没有明显规律。在ET和ECT条件下,大豆生长季N₂O排放总量均显著高于CK处理,且添加硝化抑制剂使N₂O排放...     

蒙古栎叶片及其土壤碳、氮同位素自然丰度对大气CO2浓度升高的响应

大气CO₂浓度升高对土壤氮素转化过程产生重要影响,研究其变化有助于更好地预测陆地生态系统的固碳潜力.氮同位素自然丰度作为生态系统氮素循环过程的综合指标能够有效地指示CO₂浓度升高对土壤氮素转化过程的影响.本研究采用开顶箱CO₂ 熏蒸法研究连续10年的大气CO₂ 浓度升高对我国东北地区蒙古栎及其土壤和微生物生物量碳、氮同位素自然丰度的影响.结果表明: 大气CO₂浓度升高改变了土壤氮循环过程,增加了土壤微生物和植物叶片δ¹⁵N;促进了富¹³C土壤有机碳分解,中和了贫¹³C植物光合碳输入的效果,导致土壤可溶性有机碳和微生物碳δ¹³C在CO₂升高条件下没有发生显著变化.这些结果表明,CO₂浓度升高很可能促进了土壤有机质矿化过程,并加剧了系统氮限制的状态.     

覆膜对绿洲棉田土壤CO2通量和CO2浓度的影响

基于静态箱法和气井法分别测定新疆棉田覆膜位置的土壤CO2通量和CO2浓度.结果表明:土壤CO2通量和CO2浓度时间变化特征与土壤温度变化趋势一致,均表现为7月较高,10月最低.观测期内,棉田土壤CO2累积排放量非覆膜处理为2032.81 kg C·hm-2,覆膜处理为1871.95 kg C·hm-2;而1 m深度内土壤CO2浓度非覆膜处理为2165~23986μL·L-1,覆膜处理为5137~25945μL·L-1,即覆膜减少了棉田土壤排放CO2的同时增加了土壤CO2积累量.覆膜和非覆膜处理下不同深度土壤CO2浓度和CO2通量的相关系数分别为0.60~0.73和0.57~0.75,表明地表释放的CO2强烈依赖于土壤剖面储存的CO2.覆膜和非覆膜处理下Q10值分别为2.77和2.48,表明覆膜处理下的土壤CO2通量对土壤温度变化的响应更敏感.     

Estimating soil carbon sequestration under elevated CO2 by combining carbon isotope labelling with soil carbon cycle modelling

Elevated CO₂ concentrations generally stimulate grassland productivity, but herbaceous plants have only a limited capacity to sequester extra carbon (C) in biomass. However, increased primary productivity under elevated CO₂ could result in increased transfer of C into soils where it could be stored for prolonged periods and exercise a negative feedback on the rise in atmospheric CO₂. Measuring soil C sequestration directly is notoriously difficult for a number of methodological reasons. Here, we present a method that combines C isotope labelling with soil C cycle modelling to partition net soil sequestration into changes in new C fixed over the experimental duration (C_new) and pre‐experimental C (C_old). This partitioning is advantageous because the C_new accumulates whereas C_old is lost in the course of time (ΔC_new>0 whereas ΔC_old<0). We applied this method to calcareous grassland exposed to 600 μL CO₂ L^?1 for 6 years. The CO₂ used for atmospheric enrichment was depleted in ¹³C relative to the background atmosphere, and this distinct isotopic signature was used to quantify net soil C_new fluxes under elevated CO₂. Using ¹³C/¹²C mass balance and inverse modelling, the Rothamsted model ‘RothC’ predicted gross soil C_new inputs under elevated CO₂ and the decomposition of C_old. The modelled soil C pools and fluxes were in good agreement with experimental data. C isotope data indicated a net sequestration of ≈90 g C_new m^?2 yr^?1 in elevated CO₂. Accounting for C_old‐losses, this figure was reduced to ≈30 g C m^?2 yr^?1 at elevated CO₂; the elevated CO₂‐effect on net C sequestration was in the range of≈10 g C m^?2 yr^?1. A sensitivity and error analysis suggests that the modelled data are relatively robust. However, elevated CO₂‐specific mechanisms may necessitate a separate parameterization at ambient and elevated CO₂; these include increased soil moisture due to reduced leaf conductance, soil disaggregation as a consequence of increased soil moisture, and priming effects. These effects could accelerate decomposition of C_old in elevated CO₂ so that the CO₂ enrichment effect may be zero or even negative. Overall, our findings suggest that the C sequestration potential of this grassland under elevated CO₂ is rather limited.     

土壤有机碳和氮分解对温度变化的响应趋势与研究方法

总结了土壤中碳和氮贮量与温度的关系、土壤碳和氮分解对温度时空差异和直接加热升温的响应,以及土壤碳和氮分解对低温冻结及冻融循环的响应趋势,讨论了其研究方法的误差和不确定性,并对今后的研究提出了一些建议．气候变暖在短期内将使土壤碳和氮分解加速并引起CO2释放量增加,而长期过程中却并不一定会引起土壤碳和氮分解加速．合理解释不同研究结果的差异,除了需要系统分析土壤碳和氮分解对温度变化响应的机制外,还需要充分认识土壤碳和氮分解对温度变化响应的长期过程和短期过程的差异,以及研究方法、植被、土壤和气候等因素的影响．     

The turnover of carbon pools contributing to soil CO2 and soil respiration in a temperate forest exposed to elevated CO2 concentration

Soil carbon is returned to the atmosphere through the process of soil respiration, which represents one of the largest fluxes in the terrestrial C cycle. The effects of climate change on the components of soil respiration can affect the sink or source capacity of ecosystems for atmospheric carbon, but no current techniques can unambiguously separate soil respiration into its components. Long‐term free air CO₂ enrichment (FACE) experiments provide a unique opportunity to study soil C dynamics because the CO₂ used for fumigation has a distinct isotopic signature and serves as a continuous label at the ecosystem level. We used the ¹³C tracer at the Duke Forest FACE site to follow the disappearance of C fixed before fumigation began in 1996 (pretreatment C) from soil CO₂ and soil‐respired CO₂, as an index of belowground C dynamics during the first 8 years of the experiment. The decay of pretreatment C as detected in the isotopic composition of soil‐respired CO₂ and soil CO₂ at 15, 30, 70, and 200 cm soil depth was best described by a model having one to three exponential pools within the soil system. The majority of soil‐respired CO₂ (71%) originated in soil C pools with a turnover time of about 35 days. About 55%, 50%, and 68% of soil CO₂ at 15, 30, and 70 cm, respectively, originated in soil pools with turnover times of less than 1 year. The rest of soil CO₂ and soil‐respired CO₂ originated in soil pools that turn over at decadal time scales. Our results suggest that a large fraction of the C returned to the atmosphere through soil respiration results from dynamic soil C pools that cannot be easily detected in traditionally defined soil organic matter standing stocks. Fast oxidation of labile C substrates may prevent increases in soil C accumulation in forests exposed to elevated [CO₂] and may consequently result in shorter ecosystem C residence times.     

Water availability controls microbial temperature responses in frozen soil CO2 production

Soil processes in high-latitude regions during winter are important contributors to global carbon circulation, but our understanding of the mechanisms controlling these processes is poor and observed temperature response coefficients of CO₂ production in frozen soils deviate markedly from thermodynamically predicted responses (sometimes by several orders of magnitude). We investigated the temperature response of CO₂ production in 23 unfrozen and frozen surface soil samples from various types of boreal forests and peatland ecosystems and also measured changes in water content in them after freezing. We demonstrate that deviations in temperature responses at subzero temperatures primarily emanates from water deficiency caused by freezing of the soil water, and that the amount of unfrozen water is mainly determined by the quality of the soil organic matter, which is linked to the vegetation cover. Factoring out the contribution of water limitation to the CO₂ temperature responses yields response coefficients that agree well with expectations based on thermodynamic theory concerning biochemical temperature responses. This partitioning between a pure temperature response and the effect of water availability on the response of soil CO₂ production at low temperatures is crucial for a thorough understanding of low-temperature soil processes and for accurate predictions of C-balances in northern terrestrial ecosystems.     

气候变化对陆地生态系统土壤有机碳储量变化的影响

通过研究气候变化对土壤有机碳储藏的影响,对预测未来气候变化下土壤有机碳动态变化与深入理解陆地生态系统变化和气候变化之间的相互作用有着极其重要的意义。本文归纳了土壤类型法、模型模拟法等途径对土壤有机碳储量估算的结果并分析它们各自的不确定性,综述了气候变化对土壤碳贮藏影响机理的研究与相应过程模拟的模型研究进展,并综合分析了当前研究中还存在的问题与不足。     

China's wetland soil organic carbon pool: New estimation on pool size,change, and trajectory

Robust estimates of wetland soil organic carbon (SOC) pools are critical to understanding wetland carbon dynamics in the global carbon cycle. However, previous estimates were highly variable and uncertain, due likely to the data sources and method used. Here we used machine learning method to estimate SOC storage and their changes over time in China's wetlands based on wetland SOC density database, associated geospatial environmental data, and recently published wetland maps. We built a database of wetland SOC density in China that contains 809 samples from 181 published studies collected over the last 20 years as presented in the published literature. All samples were extended and standardized to a 1-m depth, on the basis of the relationship between SOC density data from soil profiles of different depths. We used three different machine learning methods to evaluate their robustness in estimating wetland SOC storage and changes in China. The results indicated that random forest model achieved accurate wetland SOC estimation with R² being .65. The results showed that average SOC density of top 1 m in China's wetlands was 25.03 ± 3.11 kg C m⁻² in 2000 and 26.57 ± 3.73 kg C m⁻² in 2020, an increase of 6.15%. SOC storage change from 4.73 ± 0.58 Pg in 2000 to 4.35 ± 0.61 Pg in 2020, a decrease of 8.03%, due to 13.6% decreased in wetland area from 189.12 × 10³ to 162.8 × 10³ km² in 2020, despite the increase in SOC density during the same time period. The carbon accumulation rate was 107.5 ± 12.4 g C m⁻² year⁻¹ since 2000 in wetlands with no area changes. Climate change caused variations in wetland SOC density, and a future warming and drying climate would lead to decreases in wetland SOC storage. Estimates under Shared Socioeconomic Pathway 1-2.6 (low-carbon emissions) suggested that wetland SOC storage in China would not change significantly by 2100, but under Shared Socioeconomic Pathway 5-8.5 (high-carbon emissions), it would decrease significantly by approximately 5.77%. In this study, estimates of wetland SOC storage were optimized from three aspects, including sample database, wetland extent, and estimation method. Our study indicates the importance of using consistent SOC density and extent data in estimating and projecting wetland SOC storage.     

土壤CO2及岩溶碳循环影响因素综述

全球碳循环已成为全球气候变化的核心问题之一,岩溶作用对大气CO2浓度的调节以及其与土壤CO2的密切关系也受到了国内外普遍关注。岩溶作用消耗土壤CO2对大气碳库起到了重要的减源作用,对土壤CO2进行研究将有利于进一步揭示岩溶碳循环过程。因此从气候条件、土壤理化性质、土地利用类型等方面综述了土壤CO2的影响因素以及其对岩溶碳循环的影响,并提出其它酸参与到岩溶碳循环中将会减弱岩溶碳汇效应。由于各个因素之间往往相互联系,共同影响土壤CO2和岩溶碳循环,在研究岩溶碳汇时,需以地球系统科学和岩溶动力系统理论为指导,综合考虑大气圈、水圈、岩石圈、生物圈中各种因素的影响。     

Indirect effects of soil moisture reverse soil C sequestration responses of a spring wheat agroecosystem to elevated CO2

Increased plant productivity under elevated atmospheric CO₂ concentrations might increase soil carbon (C) inputs and storage, which would constitute an important negative feedback on the ongoing atmospheric CO₂ rise. However, elevated CO₂ often also leads to increased soil moisture, which could accelerate the decomposition of soil organic matter, thus counteracting the positive effects via C cycling. We investigated soil C sequestration responses to 5 years of elevated CO₂ treatment in a temperate spring wheat agroecosystem. The application of ¹³C‐depleted CO₂ to the elevated CO₂ plots enabled us to partition soil C into recently fixed C (C_new) and pre‐experimental C (C_old) by ¹³C/¹²C mass balance. Gross C inputs to soils associated with C_new accumulation and the decomposition of C_old were then simulated using the Rothamsted C model ‘RothC.’ We also ran simulations with a modified RothC version that was driven directly by measured soil moisture and temperature data instead of the original water balance equation that required potential evaporation and precipitation as input. The model accurately reproduced the measured C_new in bulk soil and microbial biomass C. Assuming equal soil moisture in both ambient and elevated CO₂, simulation results indicated that elevated CO₂ soils accumulated an extra ～40–50 g C m^?2 relative to ambient CO₂ soils over the 5 year treatment period. However, when accounting for the increased soil moisture under elevated CO₂ that we observed, a faster decomposition of C_old resulted; this extra C loss under elevated CO₂ resulted in a negative net effect on total soil C of ～30 g C m^?2 relative to ambient conditions. The present study therefore demonstrates that positive effects of elevated CO₂ on soil C due to extra soil C inputs can be more than compensated by negative effects of elevated CO₂ via the hydrological cycle.