Toward a general evaluation model for soil respiration (GEMSR)

Soil respiration is an important component of terrestrial carbon budget. Its accurate evaluation is es- sential to the study of terrestrial carbon source/sink. Studies on soil respiration at present mostly focus on the temporal variations and the controlling factors of soil respiration, but its spatial variations and controlling factors draw less attention. Moreover, the evaluation models for soil respiration at present include only the effects of water and heat factors, while the biological and soil factors controlling soil respiration and their interactions with water and heat factors have not been considered yet. These models are not able to accurately evaluate soil respiration in different vegetation/terrestrial ecosystems at different temporal and spatial scales. Thus, a general evaluation model for soil respiration (GEMSR) including the interacting meteorological (water and heat factors), soil nutrient and biological factors is suggested in this paper, and the basic procedure developing GEMSR and the research tasks of soil respiration in the future are also discussed.     

土壤呼吸作用时空动态变化及其影响机制研究与展望

测定不同陆地生态系统土壤呼吸速率及其时空波动, 阐明其影响因子, 对于全球碳素平衡预算和全球变化潜在效应估计是最为基本的数据。然而, 有关土壤呼吸作用变异性及其影响因素的知识仍存在局限性, 一些关键的过程和机制还有待阐明。该文综述了近年来土壤呼吸作用时空动态规律、影响机制和模拟方面的研究进展, 指出环境因子和生物因子共同驱动着土壤呼吸作用的时间动态变化; 土壤呼吸作用在不同时间尺度上还具有明显的空间异质性, 这主要是植被覆盖、根系分布、主要的环境因素和土壤特性空间分布的异质性造成的。生物因子是影响土壤呼吸作用时空动态变化的主要因素之一。然而, 目前所使用的土壤呼吸作用经验模型通常利用土壤温度、土壤湿度或者两者的交互作用模拟土壤呼吸作用动态变化, 但没有考虑生物因子的影响, 这可能会导致明显的偏差和错误。因此, 为了精确估算土壤呼吸作用, 必须解决土壤呼吸作用小尺度上的空间变异性; 加强不同时间尺度上生物要素对土壤呼吸作用动态变化的影响研究; 除了气候因子外, 土壤呼吸作用经验模型应该纳入生物因子等其它影响因素作为变量, 用以提高模型模拟的正确性和准确性。     

中国农田生态系统土壤呼吸作用研究与展望

 农田生态系统是陆地生态系统的重要组成部分,占全球陆地面积的10.5%,其CO₂排放量占人为温室气体排放量的21%～25%;由于农田生态系统 受到强烈的人为干扰,因此农田生态系统土壤呼吸作用及其影响因素对准确评估陆地生态系统碳收支具有重要的意义。中国是个有悠久历史的 农业大国,不仅为农田土壤作用的研究提供了天然的实验室, 而且中国农田土壤呼吸作用的研究对全球的碳循环研究及碳收支准确评估具有非 常重要的示范与指导意义。该文综述了近10年来中国农田生态系统土壤呼吸作用研究进展,指出水热因子、作物生物学特性和农业管理活动是 造成中国农田生态系统土壤呼吸作用时空变异 的主要因素;作物根系呼吸作用占土壤作用的比例在13%～77.2%之间,存在极大的不确定性;合 理施肥、秸秆还田和免耕有助于农田生态系统土壤呼吸作用减排和固碳。指出了中国农田生态系统土壤呼吸作用拟重点加强不同区域典型农田 生态系统土壤呼吸作用的比较、空间异质性、影响因素模拟及减排对策等方面的研究。     

秦岭火地塘林区油松林土壤呼吸时空变异

土壤呼吸是陆地生态系统碳循环的关键生态过程,土壤呼吸的时空变异及其影响因子已成为生态学研究的主要内容之一。采用红外线开路气室法和便携式微气象站,连续测定了秦岭火地塘林区天然次生油松林地不同部位土壤呼吸速率和不同土层深度土壤温度和土壤体积含水率,结果表明:(1)植物生长季,试验地上部与中部、中部与下部,土壤呼吸日均值间存在显著差异。植物休眠季,全坡面土壤呼吸日均值差异不显著。同一观测部位植物生长季与休眠季,土壤呼吸日均值差异显著。观测期内全样地土壤呼吸日均值为(38.64±6.43)gm-2d-1;(2)同一地形部位不同观测月中和不同地形部位同一观测时间,土壤呼吸月均值大多存在显著差异,植物生长季和休眠季,全样地土壤呼吸均值分别为(46.98±2.21)gm-2d-1和(35.94±1.01)gm-2d-1,全样地土壤呼吸月均值为(1.18±0.20)kgm-2月-1,休眠季土壤日均呼吸约为整个观测季的43.34%;(3)当土壤温度9.0℃时,土壤温度与土壤呼吸速率间均存在显著的指数关系。回归模型的决定系数均大于0.87,均方差根不超过0.21,模型有效性系数不小于0.85,残差系数的绝对值不超过0.007。(4)植物生长季0-5cm和5-10cm土层及植物休眠季0-5cm土层,土壤呼吸日累积值均值与相应土层深度土壤体积含水率均值间存在三次函数关系,回归模型的决定系数分别为0.456,0.513和0.143;植物休眠季5-10cm土层,土壤呼吸日累积值均值与土壤体积含水率均值间存在幂函数关系,回归模型的决定系数为0.650。     

松嫩平原西部草甸草原5种典型植物群落土壤呼吸的时空动态

土壤呼吸是陆地生态系统碳循环的重要组分, 由于受到生物因子与非生物因子的共同作用, 土壤碳排放量在时间和空间尺度上都具有一定的变异性。为弄清松嫩平原西部草甸草原植物群落土壤呼吸作用的时空动态变化及其影响因子, 以典型植被碱蓬(Suaeda glauca)、虎尾草(Chloris virgata)、碱茅(Puccinellia distans)、芦苇(Phragmites australis)、羊草(Leymus chinensis)群落为研究对象, 采用LI-6400土壤呼吸测定系统对该生态系统2011-2012年植物生长季内土壤呼吸作用进行了监测。结果表明: 土壤温度可以解释土壤呼吸作用变异的53%-82%, 是影响该生态系统土壤碳排放时间变异的主要因素。土壤水分并未对土壤呼吸作用时间变异产生明显的影响。不同植物群落的土壤呼吸的温度敏感性(Q₁₀)有所差异, Q₁₀为2.0-6.7。生长季内, 5种植物群落的土壤累积碳排放量的平均值为316.6 g C·m^-2。生长季内土壤碳累积排放量与植被地上生物量、土壤有机碳含量、平均土壤温度显著正相关, 与平均土壤含水量、pH值、土壤电导率及交换性钠百分比呈负相关关系。土壤的微气候、植被的地上生物量及土壤性质的差异是土壤碳排放空间变异的主要影响因素。     

中国农田土壤呼吸速率及驱动因子

土壤呼吸在全球碳收支中具有重要地位.研究中国典型农业区土壤呼吸的时空格局及影响因素,有助于构建区域尺度土壤呼吸定量评价模型,能够为评估中国乃至全球农业生态系统碳/源汇特征提供依据.本研究整合了2000~2012年中国农田生态系统土壤呼吸的主要研究成果,分析了华南、西南、华北、西北和东北5个典型农业区土壤呼吸的季节变化和区域差异,以及影响土壤呼吸的主要驱动因子.结果表明,5个典型农业区的土壤呼吸均存在明显的季节变化特征;中国农田生态系统年均土壤呼吸速率为(682.8±18.3)g C m?2.5个典型农业区年均土壤呼吸速率大小表现为华南区西南区华北区东北区西北区.全国农业土壤的年呼吸通量为(0.90±0.02)Pg C;水作和旱作两种土地利用类型间土壤呼吸速率差异显著(P0.05),旱作土壤呼吸速率约为水作的1.3倍;不同作物类型间土壤呼吸速率差异显著(P0.05),其排序为棉花玉米大豆水稻小麦;农田土壤呼吸与年均气温、土壤温度、土壤含水量和净初级生产力等影响因素呈显著正相关(P0.01),而与年均降水量的相关性不显著.     

土壤微生物与根系呼吸作用影响因子分析

土壤呼吸作用作为陆地生态系统碳循环的重要组成部分,是当前碳循环研究中的热点问题.对于土壤呼吸作用主要组成部分土壤微生物呼吸作用和根系呼吸作用影响因子的研究,有助于准确地评估全球碳收支.本文从气候、土壤、植被及地表覆被物、大气CO₂浓度、人为干扰等方面综述了土壤微生物呼吸作用和根系呼吸作用的主导影响因子,指出这些影响因子不仅直接或间接地影响土壤微生物呼吸作用和根系呼吸作用,而且它们之间相互作用、相互影响,且各影响因子的地位和作用会随时空尺度变化发生相应改变.在此基础上,论文提出了未来土壤呼吸作用的研究重点.     

太原盆地土壤呼吸的空间异质性

土壤呼吸不仅存在时间上的变化,而且也具有明显的空间变化特征。土壤呼吸的时、空变化增加了土壤呼吸测定的不确定性。研究土壤呼吸的空间异质性是准确估算区域土壤呼吸的基础。通过2008年7、9、11月对太原盆地39个样地的土壤呼吸以及土壤温度和土壤水分等环境因子进行测定的基础上,用传统和地统计学的方法对太原盆地土壤呼吸以及环境因子的空间异质性进行了分析。传统统计(描述统计)分析结果表明:3次土壤呼吸的平均值分别为(7.8±3.3)、(8.9±4.0)和(2.1±1.3)μmolCO2m-2s-1,变异系数分别为42%,44%和59%,属于中等变异;采用地统计学的半方差函数进行分析结果表明:球状模型能很好地反映土壤呼吸和土壤水分的空间结构特征,3次土壤呼吸和土壤水分的C0/(C0+C)值分别为0.004、0.038和0.005以及0.011、0.003和0.003,表明土壤呼吸和土壤水分表现出高度的空间自相关性,其空间变异主要是由结构性因素引起;3次土壤呼吸和土壤水分半方差函数的变程分别为190、370m和510m以及90、140m和220m,说明影响土壤呼吸和土壤水分的生态过程随时间变化在不同尺度上起作用;3次土壤呼吸的分维值分别为0.634、0.965和0.763,表明7月份土壤呼吸的空间依赖性最强,11月份次之,9月份最弱,与半方差函数的分析结果相吻合。用Kriging插值法绘制的土壤呼吸等值线图进一步表明土壤呼吸具有高度的空间异质性,这异质性主要是由于土壤水分不同所造成。     

Effects of mowing and nitrogen addition on soil respiration in three patches in an oldfield grassland in Inner Mongolia

Aims Vegetation type is important in determining variations in soil carbon (C) efflux under grassland managements. This study was conducted to examine the effects of mowing and nitrogen (N) addition on soil respiration and their dependences upon vegetation types in an oldfield grassland of northern China.Methods Soil respiration, temperature, moisture and aboveground net primary productivity (ANPP) and belowground net primary productivity (BNPP) were examined in response to mowing and N addition among the three patches dominated by different species (named as grass, forb and mixed patches, respectively) in the growing seasons (May–October) from 2006 to 2008.Important findings Across the 3 years, soil respiration in the grass patch was greater than those in the forb and mixed patches, which could have been ascribed to the higher soil moisture (SM) in the grass patch. Mowing had no impact on soil respiration due to unaltered SM and plant growth. Soil respiration was stimulated by 6.53% under N addition, and the enhancement was statistically significant in 2006 but not in 2007 or 2008 because of the limited water availability in the later 2 years. There were no interactive effects between mowing and N addition on soil respiration. Soil respiration showed positive dependence upon SM, ANPP and BNPP across plots. The results suggest that soil water availability and plant growth could be the primary factors in controlling the temporal and spatial variations in soil respiration and its response to different treatments. Our observations indicate that grassland managements (i.e. mowing for hay once a year) may have little influence on soil respiration of the oldfield grassland in northern China.     

Topographic and climatic controls on soil respiration in six temperate mixed-hardwood forest slopes, Korea

To better understand the effects of local topography and climate on soil respiration, we conducted field measurements and soil incubation experiments to investigate various factors influencing spatial and temporal variations in soil respiration for six mixed‐hardwood forest slopes in the midst of the Korean Peninsula. Soil respiration and soil water content (SWC) were significantly greater (P=0.09 and 0.003, respectively) on north‐facing slopes compared to south‐facing slopes, while soil temperature was not significantly different between slopes (P>0.5). At all sites, soil temperature was the primary factor driving temporal variations in soil respiration (r²=0.84–0.96) followed by SWC, which accounted for 30% of soil respiration spatial and temporal variability. Results from both field measurements and incubation experiments indicate that variations in soil respiration due to aspect can be explained by a convex‐shaped function relating SWC to normalized soil respiration rates. Annual soil respiration estimates (1070–1246 g C m^?2 yr^?1) were not closely related to mean annual air temperatures among sites from different climate regimes. When soils from each site were incubated at similar temperatures in a laboratory, respiration rates for mineral soils from wetter and cooler sites were significantly higher than those for the drier and warmer sites (n=4, P<0.01). Our results indicate that the application of standard temperature‐based Q₁₀ models to estimate soil respiration rates for larger geographic areas covering different aspects or climatic regimes are not adequate unless other factors, such as SWC and total soil nitrogen, are considered in addition to soil temperature.     

Temporal changes of vegetation water use efficiency and its influencing factors in Northern China

水分利用效率(WUE)既是衡量植被生长适应性的重要指标, 也是连接生态系统水碳循环的纽带。认识不同类型植被WUE的时间变化特征及驱动机制有助于增进对生态系统水碳循环过程的理解。已有研究表明, 在不同时间尺度下, WUE呈现不同的时间变化特征, 但现有研究多是集中在单一的时间尺度下开展的, 对不同植被类型在不同时间尺度下的动态变化及影响因子分析开展得较少。该研究选用中国北方地区9个定位观测台站的通量与气象数据, 分析了WUE的日内变化和季节变化特征, 并在0.5 h、1 d、8 d以及月尺度下, 分别分析了气温(T_a)、相对湿度(RH)、饱和水汽压差(VPD)以及光合有效辐射(PAR)等非生物因子对WUE的影响。同时, 该研究也分析了植被叶面积指数(LAI)和降水(P)对WUE的影响。研究发现: (1) WUE的日变化呈现不对称的“U”型特征, 日出时的WUE普遍高于日落时。荒漠地区WUE的季节变化呈“U”型, 而其他站点呈现单峰型。不同站点WUE的季节变化可以分为总初级生产力(GPP)主导型和蒸发散(ET)主导型, 并随着时间尺度的扩大, GPP或ET的主导作用逐渐增强。(2)在较短的时间尺度(0.5 h、1 d)上, T_a、RH、VPD和PAR是影响WUE变化的主要因子, 但随着时间尺度的扩大, T_a和RH成为影响WUE变化的主要因子, 并且与WUE的相关关系受GPP或ET对WUE主导作用的影响, 随着时间尺度增大, T_a和RH与WUE的线性关系更加显著。(3) WUE大体上随LAI的增加而增加, 但当LAI超过一定值时, 在长白山、海北和张掖站, WUE对LAI的敏感性降低。降水与WUE的关系在研究区域内并不显著。(4)不同植被类型的WUE由大到小依次为森林、农田、草地、湿地和荒漠。     

中国北方植被水分利用效率的时间变化特征及其影响因子

水分利用效率(WUE)既是衡量植被生长适应性的重要指标, 也是连接生态系统水碳循环的纽带。认识不同类型植被WUE的时间变化特征及驱动机制有助于增进对生态系统水碳循环过程的理解。已有研究表明, 在不同时间尺度下, WUE呈现不同的时间变化特征, 但现有研究多是集中在单一的时间尺度下开展的, 对不同植被类型在不同时间尺度下的动态变化及影响因子分析开展得较少。该研究选用中国北方地区9个定位观测台站的通量与气象数据, 分析了WUE的日内变化和季节变化特征, 并在0.5 h、1 d、8 d以及月尺度下, 分别分析了气温(T_a)、相对湿度(RH)、饱和水汽压差(VPD)以及光合有效辐射(PAR)等非生物因子对WUE的影响。同时, 该研究也分析了植被叶面积指数(LAI)和降水(P)对WUE的影响。研究发现: (1) WUE的日变化呈现不对称的“U”型特征, 日出时的WUE普遍高于日落时。荒漠地区WUE的季节变化呈“U”型, 而其他站点呈现单峰型。不同站点WUE的季节变化可以分为总初级生产力(GPP)主导型和蒸发散(ET)主导型, 并随着时间尺度的扩大, GPP或ET的主导作用逐渐增强。(2)在较短的时间尺度(0.5 h、1 d)上, T_a、RH、VPD和PAR是影响WUE变化的主要因子, 但随着时间尺度的扩大, T_a和RH成为影响WUE变化的主要因子, 并且与WUE的相关关系受GPP或ET对WUE主导作用的影响, 随着时间尺度增大, T_a和RH与WUE的线性关系更加显著。(3) WUE大体上随LAI的增加而增加, 但当LAI超过一定值时, 在长白山、海北和张掖站, WUE对LAI的敏感性降低。降水与WUE的关系在研究区域内并不显著。(4)不同植被类型的WUE由大到小依次为森林、农田、草地、湿地和荒漠。     

Soil respiration of forest ecosystems in Japan and global implications

Within terrestrial ecosystems, soil respiration is one of the largest carbon flux components. We discuss the factors controlling soil respiration, while focusing on research conducted at the Takayama Experimental Site. Soil respiration was affected by soil temperature, soil moisture, rainfall events, typhoons, and root respiration. We consider the temporal and spatial variability of soil respiration at the Takayama Experimental Site and review the variability of annual soil respiration in Japanese forests. In the 26 compiled studies, the values of annual soil respiration ranged from 203 to 1,290 g C m⁻² year⁻¹, with a mean value of 669 g C m⁻² year⁻¹ (SD=264, CV=40). We note the need for more studies and data synthesis for the accurate prediction of soil respiration and soil carbon dynamics in Japanese forests. Finally, several methods for measuring soil respiration rates are compared and the implications of soil respiration rates for global climate change are discussed.     

Spatial and temporal patterns of soil respiration over the Japanese Archipelago: a model intercomparison study

We used terrestrial ecosystem models to estimate spatial and temporal variability in and uncertainty of estimated soil carbon dioxide (CO₂) efflux, or soil respiration, over the Japanese Archipelago. We compared five carbon-cycle models to assess inter-model variability: Biome-BGC, CASA, LPJ, SEIB, and VISIT. These models differ in approaches to soil carbon dynamics, root respiration estimation, and relationships between decomposition and environmental factors. We simulated the carbon budget of natural ecosystems over the archipelago for 2001–2006 at 1-day time steps and 2-min (latitude and longitude) spatial resolution. The models were calibrated using measured flux data to accurately represent net ecosystem CO₂ exchange. Each model successfully reproduced seasonal changes and latitudinal gradients in soil respiration. The five-model average of estimated total soil respiration of Japanese ecosystems was 295 Tg C year⁻¹, with individual model estimates ranging from 210 to 396 Tg C year⁻¹ (1 Tg = 10¹² g). The differences between modeled estimates were more evident in summer and in warmer years, implying that they were mainly attributable to differences in modeling the temperature dependence of soil respiration. There was a large discrepancy between models in the estimated contribution of roots to total soil respiration, ranging from 3.9 to 48.4%. Although model calibration reduced the uncertainty of flux estimates, substantial uncertainties still remained in estimates of underground processes from these terrestrial carbon-cycle models.     

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。     

若尔盖高寒草本沼泽土壤呼吸对水位下降的响应

土壤呼吸会影响全球碳循环,而湿地水位与土壤呼吸息息相关。然而,由于原位观测有限,目前尚不清楚高寒沼泽土壤呼吸及其组分如何响应水位下降。在若尔盖高原纳勒乔沼泽建立了水位下降控制实验平台,定位监测土壤呼吸及其组分的变化,并初步探讨土壤呼吸及其组分与生物和非生物因素的潜在联系。结果发现,水位下降对高寒草本沼泽土壤呼吸（Rs）没有显著影响,但自养呼吸（Ra）和异氧呼吸（Rh）对水位下降表现出明显不同反应。其中,自养呼吸速率下降了67.2%,异养呼吸速率上升了67.3%。异养呼吸和自养呼吸在土壤呼吸中的占比发生显著变化,水位下降后,Rh/Rs较对照增加了88%,Ra/Rs减少了61%。水位下降引起的自养呼吸和异养呼吸变化的驱动因素不同,植株高度、地上及地下生物量解释了自养呼吸的变化,土壤温度、C：N则是异氧呼吸变化的关键影响因素。综上,在高寒草本沼泽生态系统中,水位下降对土壤呼吸组分的影响强度及其驱动因素存在明显差异,这需要在陆地表层碳循环模型中加以考虑,以便更好评估高寒草本沼泽碳循环对气候变化的反馈作用。     

荒漠化对毛乌素沙地土壤呼吸及生态系统碳固持的影响

荒漠化极大地影响着包括毛乌素沙地在内的干旱、半干旱区的土壤呼吸及碳固持潜力,因而,可能对区域或全球的碳循环造成一定影响。为揭示土壤呼吸的时间变化及其影响因子,理解荒漠化对毛乌素沙地土壤呼吸及碳固持的影响,根据毛乌素沙地荒漠化类型的研究结果,以毛乌素沙地固定沙地本氏针茅群落(FS)、固定沙地油蒿群落(FA)、半固定沙地油蒿群落(SFA)、流动沙地一年生植物群落(AL)等4个代表毛乌素沙地荒漠化主要阶段的植物群落为研究对象,采用LI-8100 土壤碳通量测量系统测定了其土壤呼吸速率的日动态和月动态,结合植物群落生产力的野外调查,分析了荒漠化对土壤呼吸速率及碳固持的影响。结果表明:FA、FS、SFA、AL不同月份之间土壤呼吸速率日动态变化显著,4个群落5月份土壤呼吸最高、最低值分别出现在9:00 10:00和18:00,但6 9月份土壤呼吸最高、最低值却分别出现在12:00 以后和7:00。FA、FS、SFA、AL在主要生长季(5 9月)的平均土壤呼吸速率分别为:99.79、88.13、47.95、13.82 mg · m^-2 · h^-1。FS、FA和SFA土壤呼吸速率月变化显著,5月最低,7月最高,AL土壤呼吸速率月变化相对较小。FS、FA和SFA土壤呼吸速率月变化与土壤温度存在显著的指数相关关系,FS、FA、SFA和AL的 Q₁₀值依次为5.87、5.05、4.02、0.64。FS和FA的土壤呼吸速率月变化与土壤湿度显著正相关,而SFA和AL的土壤呼吸速率月变化与土壤湿度不存在显著线性关系。土壤呼吸与10 cm深度的土壤温度和湿度回归模型表明土壤温度和湿度可以解释不同群落土壤呼吸月变化的69% 87%。FS、FA、SF和AL的月土壤呼吸速率与根系生物量存在显著线性关系。在主要生长季(5 9月)平均根系呼吸速率和平均土壤微生物呼吸随荒漠化程度的加重而降低。FS、FA、SFA和AL根系呼吸与土壤呼吸的比率分别为51.40%、59.99%、70.85%、45.86%。在主要生长季(5 9月)净生态系统生产力分别为36.16、18.56、-11.29和-22.49 C g/m²。随荒漠化程度的加重,生态系统碳固持能力逐渐降低。因此,采取合理措施使荒漠化土地向以油蒿或本氏针茅为主的固定沙地演替,有助于毛乌素沙地生态系统碳固持能力的提高和植物群落的生长。     

Soil Respiration under Different Land Uses in Eastern China

Land-use change has a crucial influence on soil respiration, which further affects soil nutrient availability and carbon stock. We monitored soil respiration rates under different land-use types (tea gardens with three production levels, adjacent woodland, and a vegetable field) in Eastern China at weekly intervals over a year using the dynamic closed chamber method. The relationship between soil respiration and environmental factors was also evaluated. The soil respiration rate exhibited a remarkable single peak that was highest in July/August and lowest in January. The annual cumulative respiration flux increased by 25.6% and 20.9% in the tea garden with high production (HP) and the vegetable field (VF), respectively, relative to woodland (WL). However, no significant differences were observed between tea gardens with medium production (MP), low production (LP), WL, and VF. Soil respiration rates were significantly and positively correlated with organic carbon, total nitrogen, and available phosphorous content. Each site displayed a significant exponential relationship between soil respiration and soil temperature measured at 5 cm depth, which explained 84–98% of the variation in soil respiration. The model with a combination of soil temperature and moisture was better at predicting the temporal variation of soil respiration rate than the single temperature model for all sites. Q₁₀ was 2.40, 2.00, and 1.86–1.98 for VF, WL, and tea gardens, respectively, indicating that converting WL to VF increased and converting to tea gardens decreased the sensitivity of soil respiration to temperature. The equation of the multiple linear regression showed that identical factors, including soil organic carbon (SOC), soil water content (SWC), pH, and water soluble aluminum (WSAl), drove the changes in soil respiration and Q₁₀ after conversion of land use. Temporal variations of soil respiration were mainly controlled by soil temperature, whereas spatial variations were influenced by SOC, SWC, pH, and WSAl.     

水分对土壤呼吸的影响及机理

土壤呼吸是陆地碳循环的重要环节,在全球变化的背景下,研究水分对土壤呼吸的影响,能为探索陆地生态系统在碳循环方面的源—汇功能和揭示碳的失汇之迷提供有力的证据。综述了水分对土壤呼吸的影响及其机理。土壤呼吸是一个复杂的生态学过程,大气降水对土壤呼吸的影响结果是因时、因地而异,在湿润的生态系统或者干湿交替的生态系统中比较湿润的季节．降水事件对土壤呼吸可能会产生比较明显的抑制现象;而在干旱的生态系统或有干湿交替季节的生态系统中比较干旱的季节里,降水事件可能会强烈地激发土壤呼吸。其对土壤呼吸的影响机理包括水分对土壤孔隙中CO2替代、对CO2扩散的阻滞、对微生物活动的刺激和对微生物生物量的影响等。由于实验方法和标准的不一致以及影响土壤呼吸的因素的多样性。水分量的变化对土壤呼吸的影响很难以一个统一的方程来描述,总的来说,最优的水分状况通常是接近最大田间持水力,当土壤处于过于或过湿状态时,土壤呼吸会受到抑制。水分量的变化对土壤呼吸的影响机制在于可溶性有机质、土壤的通透性、微生物与植物根系生命活动等都随土壤水分状况不同而发生相应的改变。关于水分与土壤呼吸的关系研究今后应该主要集中在：(1)水分对根系呼吸和土壤微生物呼吸分别产生的影响;(2)全球变化后水分格局的变化对全球陆地生态系统土壤呼吸格局的潜在影响;(3)人类活动通过直接或间接改变水分状况而对土壤释放CO2的贡献率。     

Biogeochemical and hydrological controls on carbon export from a forested catchment in central Japan

Here we review research on the links between hydrological processes and the biogeochemical environment controlling the dynamics of dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) in temperate forested catchments. In addition, we present the results of original experiments. The spatial and temporal changes in DIC and DOC concentrations were investigated in tandem with observations of elementary belowground hydrological processes for a forested headwater catchment in central Japan. The soil CO₂ gas concentration, which is the source of DIC, increased with depth. The hydrological characteristics of groundwater also affected the spatial variation of partial pressure of dissolved CO₂ (pCO₂) in groundwater. The temporal variations in the soil CO₂ gas concentration and the pCO₂ values of groundwater suggested that the dynamics of DIC were strongly affected by biological activity. However, the geographical differences in DIC leaching were affected not only by the link between climatological conditions and biological activity, but also by other factors such as geomorphologic conditions. The DOC concentrations decreased with selective removal of hydrophobic acid during vertical infiltration. The major DOC-removal mechanisms were retention of metal-organic complexes to soil solids in the upper mineral soil layer and decomposition of DOC in the lower mineral soil layer. The responses of the DIC and DOC concentrations to changes in discharge during storm events were explained by the spatial variation in the DIC and DOC concentrations. Seasonal variation, which represents a long-term change, in stream water DOC concentrations was affected not only by the temporal variation in DOC concentrations in the topsoil, which may be affected by biological activity, but also by water movement, which transports DOC from the topsoil to stream water. These results indicate that both a biogeochemical approach and a method for evaluating the hydrological effects on carbon dynamics are critical for clarifying the carbon accumulation-and-release processes in forested ecosystems.