北京山区不同植被类型的土壤呼吸特征及其温度敏感性

土壤呼吸作为陆地生态系统碳循环的重要组成部分,是生态系统碳循环研究中的热点问题.土壤呼吸温度敏感性(Q₁₀)是估算土壤呼吸对全球变暖的反馈参数,研究不同植被类型的Q₁₀对评估森林生态系统碳收支具有重要意义.本研究以北京山区典型植被类型侧柏、油松和栓皮栎为研究对象,通过测定生长季内3种植被类型的土壤理化性质、土壤水热因素以及土壤呼吸速率(R_s)的变化,探究不同植被类型下的土壤呼吸特征及温度敏感性.结果表明:3种主要植被类型的R_s在生长季内与土壤温度、湿度的变化趋势相似,均呈现先升高后降低的单峰变化,R_s在4月初最低(0.45 μmol·m^-2·s^-1),随后逐渐增大,在7月初达到峰值(3.95 μmol·m^-2·s^-1),然后逐渐降低,3种植被类型的R_s和Q₁₀值均存在显著差异.土壤温度和湿度是土壤呼吸的重要影响因素,两者与R_s拟合的回归模型可以解析土壤呼吸速率48.1%～56.7%的变化.北京山区的Q₁₀值在2.05～3.19,在同一植被类型下,Q₁₀值与土壤有机碳含量呈显著负相关(R²>0.9),植被类型、海拔和土壤有机碳含量是造成不同植被类型Q₁₀值差异的重要原因.     

库布齐东缘沙漠化逆转过程中土壤呼吸及其温度敏感性变化

为研究沙漠化逆转过程对土壤呼吸速率(R_s)及其温度敏感性(Q₁₀)的影响,在库布齐沙漠东缘选取流动沙地、半固定沙地、藻结皮固定沙地、地衣结皮固定沙地和苔藓结皮固定沙地5个不同逆转阶段,采用静态暗箱-气相色谱法测定不同阶段样地R_s并计算Q₁₀,并同步分析环境因子对R_s的影响。结果表明: 随沙地固定和植被演替,R_s逐渐增大,表现为苔藓结皮固定沙地(0.78 μmol·m^-2·s^-1)>地衣结皮固定沙地(0.67 μmol·m^-2·s^-1)>藻结皮固定沙地(0.46 μmol·m^-2·s^-1)>半固定沙地(0.42 μmol·m^-2·s^-1)>流动沙地(0.29 μmol·m^-2·s^-1),且R_s均为生长季大于非生长季。Q₁₀值规律相反,为流动沙地(3.28)>半固定沙地(2.93)>藻结皮固定沙地(2.54)>地衣结皮固定沙地(1.91)>苔藓结皮固定沙地(1.84),且均为非生长季大于生长季。5个阶段样地R_s与土壤温度均呈显著正相关,但仅流动沙地和半固定沙地R_s与土壤含水量呈正相关,其余3种固定沙地R_s与土壤含水量无相关性。R_s与土壤全氮、有机碳、容重、孔隙度、细菌数量、放线菌数量及真菌数量均显著相关。在沙漠化逆转过程中,土壤碳氮含量及微生物群落数量的增加、土壤质地的改善、植物生物量的积累可显著增强土壤呼吸并降低其温度敏感性,是改变荒漠土壤碳循环格局的主要驱动力,同时也可明显改变水分因子对土壤呼吸的影响程度。     

黄土高原旱地冬小麦不同生育期根系呼吸及其温度敏感性

研究农作物生育期对根系呼吸(R_A)及其温度敏感性(Q₁₀)的影响对丰富农田生态系统的碳循环理论具有重要理论和现实意义.在黄土高原雨养农田生态系统,于2009—2014年生长季,利用土壤碳通量系统测量相邻裸地土壤微生物呼吸(R_H)和不施肥小麦地的土壤呼吸(R_S=R_A+R_H),研究生育期对冬小麦R_A和Q₁₀的影响.结果表明:冬小麦净光合速率在苗期、拔节期、灌浆期和成熟期分别为5.9、14.4、12.0和4.4 μmol·m^-2·s^-1,根系活力依次为51.0、100.8、84.4和31.8 μg·g^-1·h^-1.冬小麦不同生育期的R_A差异显著,分别为0.26、0.67、0.91和0.56 μmol·m^-2·s^-1,且R_A的变异特征与冬小麦各生育期内土壤水分含量、土壤温度、净光合速率和根系活力密切相关,分别呈抛物线、指数、线性和线性关系模型.Q₁₀在苗期、拔节期、灌浆期和成熟期分别为2.61、4.88、2.26和6.93,且Q₁₀的变异特征与冬小麦各生育期内的净光合速率、根系活力和土壤水分含量有关,这一变化的根系呼吸贡献率在各生育期分别为29%、53%、46%和31%.除了环境因素外,冬小麦生育期也是影响R_A和Q₁₀的重要因素.     

中国南亚热带森林不同演替阶段土壤呼吸的分离量化

量化森林土壤呼吸(R_S)及其组分对准确地评估森林土壤碳吸存极其重要。该文以鼎湖山南亚热带季风常绿阔叶林及其演替系列针阔叶混交林和马尾松(Pinus massoniana)林为研究对象, 采用挖壕沟法结合静态气室CO₂测定法对这3种林分类型的R_S进行分离量化。结果表明: 鼎湖山3种森林演替系列上的森林R_S及其组分(自养呼吸R_A、异养呼吸R_H)均呈现出明显的季节动态, 表现为夏季最高、冬季最低的格局。在呼吸总量上, 季风常绿阔叶林显著高于针阔叶混交林和马尾松林, 但混交林与马尾松林之间差异不显著; R_A除季风常绿阔叶林显著大于针阔叶混交林外, 其余林分之间差异不显著; 对于R_H来说, 3个林分之间均无显著差异。随着森林正向演替的进行, 由马尾松林至针阔叶混交林至季风常绿阔叶林, R_A对土壤总呼吸的年平均贡献率分别为(39.48 ± 15.49)%、(33.29 ± 17.19)%和(44.52 ± 10.67)%, 3个林分之间差异不显著。方差分析结果表明, 土壤温度是影响R_S及其组分的主要环境因子, 温度与R_S及其组分呈显著的指数关系; 土壤含水量对R_S的影响不显著, 甚至表现为轻微的抑制现象, 但未达到显著性水平。对温度敏感性指标Q₁₀值的分析表明, 3个林分均为R_A的温度敏感性最大, R_H的温度敏感性最小。     

温度和水分对科尔沁草甸湿地净生态系统碳交换量的影响

基于涡度相关和波文比气象土壤监测系统,研究了2016年科尔沁草甸湿地生态系统生长季5—9月CO₂通量的动态变化特征,分析了温度、水分等环境因子与其的响应关系.结果表明:生长季累计净生态系统碳交换量(NEE)为-766.18 g CO₂·m^-2,总初级生产力(GPP)和生态系统呼吸量(R_e)分别为3379.89和2613.71 g CO₂·m^-2,R_e/GPP为77.3%,表现为明显的碳汇.NEE各月平均日变化呈单峰“U”型曲线,其中5—7月和8月中旬表现为吸收CO₂,8月后半月和9月表现为释放CO₂.日间NEE与光合有效辐射(PAR)呈显著的直角双曲线关系,同时受饱和水汽压差(VPD)、土壤含水量(SWC)和气温(T_a)等环境要素调控.回归关系表明,日间NEE达到最大时,VPD和SWC值分别为1.75 kPa和35.5%,而NEE随T_a增加逐渐增大,当T_a达到最大时,并未对NEE产生抑制作用;夜间NEE随土壤温度(T_s)呈指数趋势上升.在整个生长季,生态系统呼吸的温度敏感性指数(Q₁₀)为2.4,且SWC越高,Q₁₀越小,夜间NEE受T_s和SWC共同调控.     

中国森林生态系统土壤呼吸温度敏感性空间变异特征及影响因素

土壤呼吸的温度敏感性(Q₁₀)是陆地碳循环与气候系统间相互作用的关键参数。尽管已有大量关于不同类型森林Q₁₀季节和年际变化规律的研究, 但是对Q₁₀在区域尺度的空间变异特征及其影响因素仍认识不足, 已有结果缺乏一致结论。该研究通过整合已发表论文, 构建了中国森林生态系统年尺度Q₁₀数据集, 共包含399条记录、5种森林类型(落叶阔叶林(DBF)、落叶针叶林(DNF)、常绿阔叶林(EBF)、常绿针叶林(ENF)、混交林(MF))。分析了不同森林类型Q₁₀的空间变异特征及其与地理、气候和土壤因素的关系。结果显示, 1) Q₁₀介于1.09到6.24之间, 平均值(±标准误差)为2.37 (± 0.04), 且在不同森林类型之间无显著差异; 2)当考虑所有森林类型时, Q₁₀随纬度、海拔、土壤有机碳含量(SOC)和土壤全氮含量(TN)的增加而增大, 随经度、年平均气温(MAT)、平均年降水量(MAP)的增加而减小。气候(MAT、MAP)和土壤(SOC、TN)因素间存在相互作用, 共同解释了33%的Q₁₀空间变异, 其中MAT和SOC是Q₁₀空间变异的主要驱动因素; 3)不同类型森林Q₁₀对气候和土壤因素的响应存在差异。在DNF中Q₁₀随MAP的增加而减小, 而其他类型森林中Q₁₀与MAP无显著相关性; 在EBF、DBF、ENF中Q₁₀随TN的增加而增大, 但Q₁₀对TN的敏感性在EBF中最高, 在ENF中最低。这些结果表明, 尽管Q₁₀有一定的集中分布趋势, 但仍有较大范围的空间变异, 在进行碳收支估算时应注意尺度问题。Q₁₀的主要驱动因素和Q₁₀对环境因素的响应随森林类型而变化, 在气候变化情景下, 不同森林类型间Q₁₀可能发生分异。因此, 未来的碳循环-气候模型还应考虑不同类型森林碳循环关键参数对气候变化的响应差异。     

Spatial variation and controlling factors of temperature sensitivity of soil respiration in forest ecosystems across China

土壤呼吸的温度敏感性(Q₁₀)是陆地碳循环与气候系统间相互作用的关键参数。尽管已有大量关于不同类型森林Q₁₀季节和年际变化规律的研究, 但是对Q₁₀在区域尺度的空间变异特征及其影响因素仍认识不足, 已有结果缺乏一致结论。该研究通过整合已发表论文, 构建了中国森林生态系统年尺度Q₁₀数据集, 共包含399条记录、5种森林类型(落叶阔叶林(DBF)、落叶针叶林(DNF)、常绿阔叶林(EBF)、常绿针叶林(ENF)、混交林(MF))。分析了不同森林类型Q₁₀的空间变异特征及其与地理、气候和土壤因素的关系。结果显示, 1) Q₁₀介于1.09到6.24之间, 平均值(±标准误差)为2.37 (± 0.04), 且在不同森林类型之间无显著差异; 2)当考虑所有森林类型时, Q₁₀随纬度、海拔、土壤有机碳含量(SOC)和土壤全氮含量(TN)的增加而增大, 随经度、年平均气温(MAT)、平均年降水量(MAP)的增加而减小。气候(MAT、MAP)和土壤(SOC、TN)因素间存在相互作用, 共同解释了33%的Q₁₀空间变异, 其中MAT和SOC是Q₁₀空间变异的主要驱动因素; 3)不同类型森林Q₁₀对气候和土壤因素的响应存在差异。在DNF中Q₁₀随MAP的增加而减小, 而其他类型森林中Q₁₀与MAP无显著相关性; 在EBF、DBF、ENF中Q₁₀随TN的增加而增大, 但Q₁₀对TN的敏感性在EBF中最高, 在ENF中最低。这些结果表明, 尽管Q₁₀有一定的集中分布趋势, 但仍有较大范围的空间变异, 在进行碳收支估算时应注意尺度问题。Q₁₀的主要驱动因素和Q₁₀对环境因素的响应随森林类型而变化, 在气候变化情景下, 不同森林类型间Q₁₀可能发生分异。因此, 未来的碳循环-气候模型还应考虑不同类型森林碳循环关键参数对气候变化的响应差异。     

神农架海拔梯度上4种典型森林的土壤呼吸组分及其对温度的敏感性

量化森林土壤呼吸及其组分对温度的响应对准确评估未来气候变化背景下陆地生态系统的碳平衡极其重要。该文通过对神农架海拔梯度上常绿阔叶林、常绿落叶阔叶混交林、落叶阔叶林以及亚高山针叶林4种典型森林土壤呼吸的研究发现: 4种森林类型的年平均土壤呼吸速率和年平均异养呼吸速率分别为1.63、1.79、1.74、1.35 μmol CO₂·m^-2·s^-1和1.13、1.12、1.12、0.80 μmol CO₂·m^-2·s^-1。该地区的土壤呼吸及其组分呈现出明显的季节动态, 夏季最高, 冬季最低。4种森林类型中, 阔叶林的土壤呼吸显著高于针叶林, 但阔叶林之间的土壤呼吸差异不显著。土壤温度是影响土壤呼吸及其组分的主要因素, 二者呈显著的指数关系; 土壤含水量与土壤呼吸之间没有显著的相关关系。4种典型森林土壤呼吸的Q₁₀值分别为2.38、2.68、2.99和4.24, 随海拔的升高土壤呼吸对温度的敏感性增强, Q₁₀值随海拔的升高而增加。     

CO2储存通量估算方法对森林生态系统碳收支估测的影响

准确测定森林生态系统中CO₂储存通量(F_s)对于以涡动协方差(EC)法估算生态系统碳收支具有重要意义,而F_s不同算法引起的森林碳收支估测误差还未被全面评估。本研究利用2018年帽儿山落叶阔叶林的开路EC系统和8层CO₂/H₂O廓线系统(AP100, Campbell Scientific Inc., USA)数据,比较了2-min平均廓线(P_{2 min})、30-min平均廓线(P_{30 min})和30-min平均EC单点法(P_s)3种不同方法估算的F_s对净生态系统交换(NEE)、生态系统呼吸(R_e)和总初级生产力(GPP)估算结果的影响。结果表明: F_s估算方法对森林碳通量的影响总体上随时间尺度增大而不断增大,表明通量数据插补和拆分会进一步放大F_s估算方法的影响。在年尺度上,P_{2 min}法和P_s法的NEE分别比P_{30 min}法的低36.3%和29.4%;P_{2 min}法的R_e比P_{30 min}法和P_s法高8.7%;而P_{2 min}法的GPP比P_{30 min}法的高5.4%,P_s法则比P_{30 min}法的低2.1%。传统的P_{30 min}法忽略了CO₂浓度的瞬时变化,P_s法缺少林冠层内部CO₂浓度变化,因此两者低估了真实R_e。近似瞬时廓线的方法(2-min平均)具有更高的时间与空间分辨率,能够更加准确地估算非平坦地形和复杂冠层结构的森林碳收支,这对解决EC法在复杂条件下森林R_e和GPP低估、净碳汇高估具有重要启示。     

干扰强度对亚热带米槠人促更新林土壤呼吸及其组分的影响

研究轻度干扰和重度干扰对亚热带米槠人促更新林土壤总呼吸、异养呼吸的影响.结果表明:与轻度干扰米槠林相比,重度干扰林的土壤呼吸及其各组分均下降,其中,自养呼吸(R_A,1.75 t C·hm^-2·a^-1)下降了40%.与轻度干扰林相比,重度干扰林土壤有机碳储量、细根生物量和凋落物量均显著降低.土壤温度可以分别解释轻度干扰林土壤呼吸(R_S)、异养呼吸(R_H)、自养呼吸(R_A)的84.7%、68.3%、5.1%,可以解释重度干扰林的84.4%、54.6%、21.7%.轻度干扰林和重度干扰林R_S、R_H、R_A的Q₁₀值分别为1.75、1.93、1.27和2.46、2.34、1.65.随着干扰强度的增加,森林生态系统碳储量降低,土壤呼吸下降,且土壤呼吸及其各组分对外界环境变化的响应更明显,生态系统表现出脆弱性,重度干扰下森林生态系统在短时间内难以恢复.     

Soil C mineralization and temperature sensitivity in alpine grasslands of the Qinghai-Xizang Plateau

青藏高原具有独特的海拔、气候和生态系统类型, 弄清其土壤有机质分解及其温度敏感性对于揭示青藏高原土壤碳储量变化及其碳汇功能具有重要意义。该文利用青藏高原西北部草地的11个封育-自由放牧成对草地, 通过测定不同温度(5、10、15、20和25 ℃)培养下的土壤碳矿化速率, 探讨了土地利用方式对该地区土壤碳矿化及其温度敏感性的影响。实验结果表明: 温度对青藏高原高寒草地的土壤碳矿化具有显著影响, 温度越高土壤碳矿化量越大。从东至西, 土壤碳矿化量逐渐降低。草地土壤碳矿化量与土壤有机碳和土壤全氮含量显著正相关; 即土壤有机碳和土壤全氮含量越高, 土壤碳矿化量就越高。土地利用方式对土壤碳矿化的温度敏感性(Q₁₀)无显著影响, Q₁₀值变化范围为1.4-2.4; 其中, 放牧草地Q₁₀的平均值为1.83, 封育草地Q₁₀的平均值为1.86。此外, Q₁₀与土壤有机碳和土壤全氮含量无显著的相关关系, 也无明显的空间格局。放牧和封育对青藏高原高寒草地土壤碳矿化的温度敏感性无显著影响, 为深入分析青藏高原土壤碳汇功能及其对未来气温升高的响应提供了重要的理论依据。     

Seasonality and drivers of stem CO2 efflux for four temperate coniferous tree species

Aims Stem CO₂ efflux (E_s) is an important component of annual carbon budget in forest ecosystems, but how biotic and environmental factors regulate seasonal and inter-specific variations in E_s is poorly understood. The objectives of this study were: (1) to compare seasonal dynamics in E_s for four temperate coniferous tree species in northeastern China, including Korean pine (Pinus koraiensis), Korean spruce (Picea koraiensis), Mongolian pine (Pinus sylvestris var. mongolica), and Dahurian larch (Larix gmelinii); and (2) to explore factors driving the inter-specific variability in E_s during the growing and non-growing seasons.
Methods Ten to twelve trees for each tree species were sampled for E_s and stem temperature at 1 cm depth beneath the bark (T_s) measurements in situ with an infrared gas analyzer (LI-6400 IRGA) and a digital thermometer, respectively, from July to October 2013 and March to July 2014. The daily stem circumference increment (S_i), sapwood nitrogen concentration ([N]), and related environmental factors were monitored simultaneously.
Important findings The temporal variation in E_s for the four tree species overall followed the changes in T_s throughout the study period, with the maxima occurring in the summer months (late May to early July) characterized by higher temperature and more rapid stem growth and the minima in spring (late March to April) or autumn (October) having lower temperature. T_s accounted for 42%-91% and 56%-89% of variations in E_s during the growing (May to September) and non-growing (other months) seasons, respectively. Furthermore, apart from T_s, we also found significant regression relationships between E_s and S_i, relative air humidity and [N] during the growing season, but their forms and correlation coefficients were species-dependent. These results indicated that T_s was the dominant environmental factor affecting seasonal variations in E_s, but the magnitude of the effect varied with tree species and growth rhythm. Mean E_s for each of the four tree species was significantly higher in the growing season than in the non-growing season, whereas within the season there were also significant differences in mean E_s among the tree species (all p < 0.05). The temperature sensitivity of E_s (Q₁₀ value) did not differ significantly among the tree species during the growing season, ranging from 1.64 for Dahurian larch to 2.09 for Mongolian pine, but did differ during the non-growing season which varied from 1.80 for Korean pine to 3.14 for Dahurian larch. Moreover, Korean spruce, Mongolian pine and Dahurian larch had significantly greater Q₁₀ values in the non-growing season than in the growing season (p < 0.05). These findings suggested that the differences of the response of E_s to temperature change for different tree species were mainly from the non-growing season. Because the seasonality and inter-specific variability in E_s for these temperate coniferous tree species were primarily controlled by multiple factors such as temperature, we conclude that using a single annual temperature response curve to estimate the annual E_s may lead to more uncertainty.     

Effects of nitrogen addition on soil respiration of Rhododendron simsii shrubland in the subtropical mountainous areas of China

Aims As the second largest C flux between the atmosphere and terrestrial ecosystems, soil respiration plays a vital role in regulating atmosphere CO₂ concentration. Therefore, understanding the response of soil respiration to the increasing nitrogen deposition is urgently needed for prediction of future climate change. However, it is still unclear how nitrogen deposition influences soil respiration of shrubland in subtropical China. Our objectives were to explore the effects of different levels of nitrogen fertilization on soil respiration, root biomass increment, and litter biomass, and to analyze the relationships between soil respiration and soil temperature and moisture.
Methods From January 2013 to September 2014, we conducted a short-term simulated nitrogen deposition experiment in the Rhododendron simsii shrubland of Dawei Mountain, located in Hunan Province, southern China. Four levels of nitrogen addition treatments (each level with three replicates) were established: control (CK, no nitrogen addition), low nitrogen addition (LN, 2 g·m^-2·a^-1), medium nitrogen addition (MN, 5 g·m^-2·a^-1) and high nitrogen addition (HN, 10 g·m^-2·a^-1). Soil respiration was measured by LI-8100 soil CO₂ efflux system. At the same time, we measured root biomass increment and litter biomass in each plot.
Important findings Soil respiration exhibited a strong seasonal pattern, with the highest rates found in summer and the lowest rates in winter. Annual accumulative soil respiration rate in the CK, LN, MN and HN was (2.37 ± 0.39), (2.79 ± 0.42), (2.26 ± 0.38) and (2.30 ± 0.36) kg CO₂·m^-2, respectively. Annual mean soil respiration rate in the CK, LN, MN and HN was (1.71 ± 0.28), (2.01 ± 0.30), (1.63 ± 0.27) and (1.66 ± 0.26) μmol CO₂·m^-2·s^-1, respectively, and it was 17.25% higher in the LN treatment compared with CK (p = 0.06). The root biomass increment was increased by LN, MN, and HN treatments by 18.36%, 36.49% and 61.63%, respectively, compared to CK. The litter biomass was increased by LN, MN, and HN treatments by 35.87%, 22.17% and 15.35%, respectively, compared with CK. Soil respiration exhibited a significant exponential relationship with soil temperature (p < 0.01, R² is 0.77 to 0.82) and a significant linear relationship with soil moisture at the depth of 5 cm (p < 0.05, R² is 0.10 to 0.15). The temperature sensitivity (Q₁₀) value of CK, LN, MN and HN plots was 3.96, 3.60, 3.71 and 3.51, respectively. These results suggested that nitrogen addition promoted plant growth and decreased the temperature sensitivity of soil respiration. The increase of root biomass under N addition may be an important reason for the change of soil respiration in the study area.     

环境和生物因子对黄河三角洲滨海湿地净生态系统CO2交换的影响

通过涡度相关和微气象观测技术,对黄河三角洲滨海湿地净生态系统CO₂交换(NEE)以及环境、生物因子进行了观测,探究湿地NEE变化规律及环境和生物因子对NEE的影响. 结果表明: 在日尺度上,生长季NEE呈明显“U”型曲线,非生长季变幅较小;在季节尺度上,NEE生长季波动较大,表现为碳汇,非生长季波动较小,表现为碳源;在年尺度上,滨海湿地生态系统表现为碳汇,总净固碳量为-247 g C·m^-2. 白天NEE主要受控于光合有效辐射(PAR),且生态系统表观量子产量(α)与白天生态系统呼吸(R_eco,d)均于8月达到最大值,最大光合速率(A_max)于7月达到最大值;夜间NEE随气温(T_a)呈指数增加趋势,生态系统的温度敏感系数(Q₁₀)为2.5,且土壤含水量(SWC)越高,Q₁₀值越大.非生长季NEE只与净辐射(R_n)呈显著的线性负相关,与其他环境因子无显著相关关系.生长季NEE与R_n、T_a、土壤10 cm温度(T_{s 10})等环境因子以及叶面积指数(LAI)呈显著的线性负相关,但与地上生物量(AGB)无显著相关关系.多元回归分析表明,R_n和LAI对生长季NEE的协同影响达到52%.     

Short-term nitrogen fertilization decreased root and microbial respiration in a young Cunninghamia lanceolata plantation

Aims As the primary pathway for CO₂ emission from terrestrial ecosystems to the atmosphere, soil respiration is estimated to be 80 Pg C·a^-1 to 100 Pg C·a^-1, equivalent to 10 fold of fossil fuel emissions. As an important management practice in plantation forests, fertilization does not only increase primary production but also affects soil respiration. To investigate how nitrogen (N) fertilization affects total soil, root and microbial respiration, a N fertilization experiment was conducted in a five-year-old Cunninghamia lanceolata plantation in Huitong, Hunan Province, located in the subtropical region. MethodsOne year after fertilization, soil respiration was monitored monthly by LI-8100 from July 2013 to June 2014. Soil temperature and water content (0-5 cm soil depth) were also measured simultaneously. Available soil nutrients, fine root biomass and microbial communities were analyzed in June 2013. Important findings Total soil, root and microbial respiration rates were 22.7%, 19.6%, and 23.5% lower in the fertilized plots than in the unfertilized plots, respectively. The temperature sensitivity (Q₁₀) of soil respiration ranged from 1.81 to 2.04, and the Q₁₀ value of microbial respiration decreased from 2.04 in the unfertilized plots to 1.84 in the fertilized plots. However, neither the Q₁₀ value nor the patterns of total soil respiration were affected by N fertilization. In the two-factor model, soil temperature and moisture accounted for 69.9%-79.7% of the seasonal variations in soil respiration. These results suggest that N fertilization reduces the response of soil organic carbon decomposition to temperature change and may contribute to the increase of soil carbon storage under global warming in subtropical plantations.     

北京2种阔叶树不同高度枝干的呼吸速率及其对温度的敏感性

该研究采用红外气体分析法(IRGA)于2013年3-12月原位测定了北京市东升八家郊野公园中2个主要阔叶树种(槐(Sophora japonica)、旱柳(Salix matsudana)) 3个高度上的枝干呼吸(R_w)日进程, 旨在量化R_w的种间差异, 探索种内R_w及其温度敏感系数(Q₁₀)的时间动态和垂直分布格局。研究结果显示: (1) R_w在不同树种之间差异明显, 相同月份(4月份除外)槐R_w是旱柳的1.12 (7月)-1.79倍(5月)。两树种枝干表面CO₂通量速率均表现出明显的单峰型季节变化, 峰值分别出现在7月((5.13 ± 0.24) μmol·m^-2·s^-1)和8月((3.85 ± 0.17) μmol·m^-2·s^-1)。同一树种在生长月份内的平均呼吸水平显著高于非生长季, 但其Q₁₀值季节变化趋势与之相反。(2) R_W随测量高度的增加而升高, 并在3个高度上表现出不同的日变化规律: 其中, 树干基部及胸高位置为单峰格局, 而一级分枝处的呼吸速率在一天内存在两个峰值, 中间出现短暂的“午休”现象。温度是造成一天内呼吸变化的主要原因。此外, 顶部R_w及其对温度的敏感程度明显高于基部。温度本身和Q₁₀值差异可在一定程度上解释R_W的垂直梯度变化。(3)在生长月份, 单位体积木质组织的日累积呼吸速率(mmol·m^-3·d^-1)与受测部位直径倒数(D^-1)呈极显著正相关关系。单位面积(μmol·m^-2·s^-1)可准确表达两树种在生长期间的R_W水平, 能合理有效地比较不同个体的呼吸差异及同一个体的时空变异。这些结果表明, 采用局部通量法上推至树木整体呼吸时, 应全面考虑R_w的时、空变异规律, 并选择恰当的表达单位, 以减小估测误差。