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。     

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.     

Rhizospheric and heterotrophic components of soil respiration in six Chinese temperate forests

Partitioning soil respiration (R_S) into heterotrophic (R_H) and rhizospheric (R_R) components is an important step for understanding and modeling carbon cycling in forest ecosystems, but few studies on R_R and R_H exist in Chinese temperate forests. In this study, we used a trenching plot approach to partition R_S in six temperate forests in northeastern China. Our specific objectives were to (1) examine seasonal patterns of soil surface CO₂ fluxes from trenched (R_T) and untrenched plots (R_UT) of these forests; (2) quantify annual fluxes of R_S components and their relative contributions in the forest ecosystems; and (3) examine effects of plot trenching on measurements of R_S and related environmental factors. The R_T maximized in early growing season, but the difference between R_UT and R_T peaked in later summer. The annual fluxes of R_H and R_R varied with forest types. The estimated values of R_H for the Korean pine (Pinus koraiensis Sieb. et Zucc.), Dahurian larch (Larix gmelinii Rupr.), aspen‐birch (Populous davidiana Dode and Betula platyphylla Suk.), hardwood (Fraxinus mandshurica Rupr., Juglans mandshurica Maxim. and Phellodendron amurense Rupr.), Mongolian oak (Quercus mongolica Fisch.) and mixed deciduous (no dominant tree species) forests averaged 89, 196, 187, 245, 261 and 301 g C m⁻² yr⁻¹, respectively; those of R_R averaged 424, 209, 628, 538, 524 and 483 g C m⁻² yr⁻¹, correspondingly; calculated contribution of R_R to R_S (RC) varied from 52% in the larch forest to 83% in the pine forest. The annual flux of R_R was strongly correlated to biomass of roots <0.5 cm in diameter, while that of R_H was weakly correlated to soil organic carbon concentration at A horizon. We concluded that vegetation type and associated carbon metabolisms of temperate forests should be considered in assessing and modeling R_S components. The significant impacts of changed soil physical environments and substrate availability by plot trenching should be appropriately tackled in analyzing and interpreting measurements of R_S components.     

Topographic and climatic controls on soil environments and net primary production in a rugged temperate hardwood forest in Korea

Eight years (1994–2001) of field data and a biogeochemical process model, BIOME-BGC, were used to examine effects of local topography and inter-annual climatic variability on soil physical (i.e., soil moisture and temperature) and biogeochemical (i.e., organic matter content, soil respiration, and leaf litter production) variables in a temperate hardwood forest in Korea. The field data were collected from adjacent south-facing (S) and north-facing (N) slopes, respectively, to examine effects of local topography, and were utilized to validate predictability according to BIOME-BGC which was applied to model unmeasured hydro-ecological processes [i.e., evapotranspiration, net primary production (NPP), and net ecosystem exchange of carbon]. Our field-data analyses indicated that soil-related variables including soil temperature, water content, organic matter, soil respiration, and floor leaf litter store significantly differed between the S and N slopes, while leaf litter production did not differ as significantly as the soil-related variables. The BIOME-BGC predictions showed good agreement with the mean field data aggregated across the slopes. Our simulation results and field observations indicated that the inter-annual variations of leaf litter production and maximum leaf area index were best explained by precipitation, both at a 1-year lag, while variation in annual NPP was well correlated with precipitation without a temporal lag. Our results imply that: (1) local topography needs to be explicitly considered in ecosystem studies as a forcing function generating spatial heterogeneity in soil physical and biogeochemical variables within a rugged landscape, and (2) water limits vegetation productivity in our study forest, in spite of a relatively high annual precipitation rate (1,579 mm year^–1).     

Effects of experimental drought on soil respiration and radiocarbon efflux from a temperate forest soil

Soil moisture affects microbial decay of SOM and rhizosphere respiration (RR) in temperate forest soils, but isolating the response of soil respiration (SR) to summer drought and subsequent wetting is difficult because moisture changes are often confounded with temperature variation. We distinguished between temperature and moisture effects by simulation of prolonged soil droughts in a mixed deciduous forest at the Harvard Forest, Massachusetts. Roofs constructed over triplicate 5 × 5 m² plots excluded throughfall water during the summers of 2001 (168 mm) and 2002 (344 mm), while adjacent control plots received ambient throughfall and the same natural temperature regime. In 2003, throughfall was not excluded to assess the response of SR under natural weather conditions after two prolonged summer droughts. Throughfall exclusion significantly decreased mean SR rate by 53 mg C m^?2 h^?1 over 84 days in 2001, and by 68 mg C m^?2 h^?1 over 126 days in 2002, representing 10–30% of annual SR in this forest and 35–75% of annual net ecosystem exchange (NEE) of C. The differences in SR were best explained by differences in gravimetric water content in the Oi horizon (r²=0.69) and the Oe/Oa horizon (r²=0.60). Volumetric water content of the A horizon was not significantly affected by throughfall exclusion. The radiocarbon signature of soil CO₂ efflux and of CO₂ respired during incubations of O horizon, A horizon and living roots allowed partitioning of SR into contributions from young C substrate (including RR) and from decomposition of older SOM. RR (root respiration and microbial respiration of young substrates in the rhizosphere) made up 43–71% of the total C respired in the control plots and 41–80% in the exclusion plots, and tended to increase with drought. An exception to this trend was an interesting increase in CO₂ efflux of radiocarbon‐rich substrates during a period of abundant growth of mushrooms. Our results suggest that prolonged summer droughts decrease primarily heterotrophic respiration in the O horizon, which could cause increases in the storage of soil organic carbon in this forest. However, the C stored during two summers of simulated drought was only partly released as increased respiration during the following summer of natural throughfall. We do not know if this soil C sink during drought is transient or long lasting. In any case, differential decomposition of the O horizon caused by interannual variation of precipitation probably contributes significantly to observed interannual variation of NEE in temperate forests.     

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％。     

苔藓和凋落物对祁连山青海云杉林土壤呼吸的影响

于2012—2014年生长季在青海云杉林下开展了地表覆盖物(苔藓和凋落物)对林下土壤呼吸速率影响的研究。采用LI8100土壤碳通量自动测量系统对苔藓覆盖、凋落物覆盖和裸土(去除地表覆盖物)的土壤呼吸进行观测,对比分析林下3种覆盖处理下的土壤呼吸差异。结果表明:苔藓覆盖土壤、凋落物覆盖土壤和裸土土壤的呼吸速率年均值分别为(3.88±0.26)μmol m~(-2)s~(-1),(3.31±0.19)μmol m~(-2)s~(-1),(2.28±0.31)μmol m~(-2)s~(-1),三者之间具有极显著差异,3组处理的地表相对湿度、土壤含水量、土壤温度和地表温度间均没有显著差异,但苔藓组和凋落物组的土壤温度分别比裸土组高8.13%和10.24%;3组处理的土壤呼吸速率均与温度呈显著指数相关性(0.53≤R~2≤0.91),且与土壤温度的相关性更高;苔藓覆盖、凋落物覆盖土壤呼吸的温度敏感性(Q_(10))分别为5.47,3.67,均高于裸土土壤呼吸的Q_(10)(2.23);裸土土壤呼吸与土壤含水量(VWC)呈高斯函数关系,VWC=34%是临界值,苔藓覆盖、凋落物覆盖土壤的呼吸速率与土壤含水量均呈线性负相关关系;苔藓和凋落物对裸土土壤呼吸的月均贡献率分别为29.33%和24.06%,可见,苔藓和凋落物在青海云杉林生态系统呼吸中起重要作用。     

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。     

森林土壤呼吸研究进展

各种测量森林土壤呼吸的方法都存在不足,红外CO₂分析仪法是目前最理想的方法;土壤CO₂通量模型的优点是考虑了土壤呼吸生物和物理学过程;一般情况下,温度和湿度与森林土壤呼吸呈正相关关系,火烧、采伐和施肥等营林活动对土壤呼吸的影响有很大的不确定性;森林土壤呼吸与植被、微生物生物量的关系,以及土壤呼吸的空间变异规律已成为近年来的研究热点.最后提出了森林土壤呼吸研究中存在的一些问题及今后的发展方向.     

Soil respiration in six temperate forests in China

Scaling soil respiration (R_S), the major CO₂ source to the atmosphere from terrestrial ecosystems, from chamber‐based measurements to ecosystems requires studies on variations and correlations of R_S from various biomes and across geographic regions. However, few studies on R_S are available for Chinese temperate forest despite the importance of this forest in the national and global carbon budgets. In this study, we conducted 18‐month R_S measurements during 2004–2005 in six temperate forest types, representing the typical secondary forest ecosystems across various site conditions in northeastern China: Mongolian oak (Quercus mongolica Fisch.), aspen‐birch (Populous davidiana Dode and Betula platyphylla Suk.), mixed deciduous (no dominant tree species), hardwood (dominated by Fraxinus mandshurica Rupr., Juglans mandshurica Maxim., and Phellodendron amurense Rupr.) forests, Korean pine (Pinus koraiensis Sieb. et Zucc.) and Dahurian larch (Larix gmelinii Rupr.) plantations. Our specific objectives were to: (1) explore relationships of R_S against soil temperature and water content for the six forest ecosystems, (2) quantify annual soil surface CO₂ flux and its relations to belowground carbon storage, (3) examine seasonal variations in R_S and related environmental factors, and (4) quantify among‐ and within‐ecosystem variations in R_S. The R_S was positively correlated to soil temperature in all forest types, and was significantly influenced by the interactions of soil temperature and water content in the pine, larch, and mixed deciduous forests. The sensitivity of R_S to soil temperature at 10 cm depth (Q₁₀) ranged from 2.61 in the oak forest to 3.75 in the aspen‐birch forests. The Q₁₀ tended to increase with soil water content until reaching a threshold, and then decline. The annual R_S for the larch, pine, hardwood, oak, mixed deciduous, and aspen‐birch forests averaged 403, 514, 781, 785, 786, and 813 g C m^?2 yr^?1, respectively. The annual R_S of the broadleaved forests was 72% greater than that of the coniferous forests. The annual R_S was positively correlated to soil organic carbon (SOC) concentration at O horizon (R²=0.868) and total biomass of roots <0.5 cm in diameter (R²=0.748). The coefficient of variation (CV) of R_S among forest types averaged 25% across the 18‐month measurements. The CV of R_S within plots varied from 20% to 27%, significantly (P<0.001) greater than those among plots (9–15%), indicating the importance of the fine‐scaled heterogeneity in R_S. This study emphasized that variations in soil respiration and potential sampling bias should be appropriately tackled for accurate soil CO₂ flux estimates.     

玉米农田土壤呼吸作用的空间异质性及其根系呼吸作用的贡献

基于4月底到9月底东北地区玉米农田土壤呼吸作用全生长季的观测,阐明了土壤呼吸作用的空间异质性特征,综合分析了水热因子、土壤性质、根系生物量及其测定位置对土壤呼吸作用空间异质性的影响,并对生长季中根系呼吸作用占土壤呼吸作用的比例进行了估算。结果表明,在植株尺度上,土壤呼吸作用存在着明显的空间异质性,较高的土壤呼吸速率通常出现在靠近玉米植株的地方。根系生物量的分布格局是影响土壤呼吸作用空间异质性的关键因素。在空间尺度上,土壤呼吸作用与根系生物量呈显著的线性关系,而土壤湿度、土壤有机质、全氮和碳氮比对土壤呼吸作用空间异质性的影响并不显著。通过建立土壤呼吸作用与玉米根系生物量的回归方程,对根系呼吸作用占土壤呼吸作用的比例进行了间接估算。玉米生长季中,根系呼吸作用占土壤呼吸作用的比例在43．1％～63．6％之间波动,均值为54．5％。     

庞泉沟自然保护区针阔混交林土壤呼吸的空间异质性

为研究土壤呼吸空间变异的影响因素,测定了山西省庞泉沟自然保护区针阔混交林地的土壤呼吸(R_s)及其影响因子,运用传统和地统计学的方法分析了4、2 m和1 m间隔取样尺度下R_s的空间变异性及其与影响因子之间的关系。传统统计分析表明:除土壤温度(T_(10))和碳/氮(C/N)比变异程度较小外,其他测定因子的变异系数在15%-59%之间,均为中等变异;R_s与凋落物量(L_w)、凋落物含水量(L_m)、土壤全碳(C)和全氮(N)呈极显著正相关(P0.01)与土壤水分(W_s)呈显著正相关(P0.05),与土壤温度(T_(10))呈极显著负相关(P0.01),与C/N比和土壤全硫(S)相关性不显著(P0.05)。多元逐步回归分析表明:L_w、T_(10)、N和C/N比四个因子能解释土壤呼吸空间变化的26%。地统计学分析表明,T_(10)、W_s、L_m、C、N和C/N比具有较强的空间自相关性,结构因素对其空间分布起着主导作用;R_s和L_w具有中等程度的空间自相关性,随机因素和结构因素对它们的空间分布起的作用相当;S具有较弱的空间自相关性,随机因素对其空间变异起着主导作用。R_s及其影响因子在相同的尺度上起作用,基本上都在17 m左右。分维数是事物复杂程度的一种量度,各指标的分维数大小依次为:L_w(1.87)S(1.84)L_m(1.82)N(1.77)R_s(1.74)C(1.73)W_s(1.69)T_(10)(1.56)C/N(1.46)。R_s的空间分布模式与W_s、L_m、L_w、C、N和S的空间分布模式较为一致,而与T_(10)的空间分布模式不同。4、2 m和1 m取样尺度95%置信水平误差在5%和10%内必要采样数量分别为74、44、39个和19、11、10个。     

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.     

Microbial soil respiration and its dependency on carbon inputs, soil temperature and moisture

This experiment was designed to study three determinant factors in decomposition patterns of soil organic matter (SOM): temperature, water and carbon (C) inputs. The study combined field measurements with soil lab incubations and ends with a modelling framework based on the results obtained. Soil respiration was periodically measured at an oak savanna woodland and a ponderosa pine plantation. Intact soils cores were collected at both ecosystems, including soils with most labile C burnt off, soils with some labile C gone and soils with fresh inputs of labile C. Two treatments, dry‐field condition and field capacity, were applied to an incubation that lasted 111 days. Short‐term temperature changes were applied to the soils periodically to quantify temperature responses. This was done to prevent confounding results associated with different pools of C that would result by exposing treatments chronically to different temperature regimes. This paper discusses the role of the above‐defined environmental factors on the variability of soil C dynamics. At the seasonal scale, temperature and water were, respectively, the main limiting factors controlling soil CO₂ efflux for the ponderosa pine and the oak savanna ecosystems. Spatial and seasonal variations in plant activity (root respiration and exudates production) exerted a strong influence over the seasonal and spatial variation of soil metabolic activity. Mean residence times of bulk SOM were significantly lower at the Nitrogen (N)‐rich deciduous savanna than at the N‐limited evergreen dominated pine ecosystem. At shorter time scales (daily), SOM decomposition was controlled primarily by temperature during wet periods and by the combined effect of water and temperature during dry periods. Secondary control was provided by the presence/absence of plant derived C inputs (exudation). Further analyses of SOM decomposition suggest that factors such as changes in the decomposer community, stress‐induced changes in the metabolic activity of decomposers or SOM stabilization patterns remain unresolved, but should also be considered in future SOM decomposition studies. Observations and confounding factors associated with SOM decomposition patterns and its temperature sensitivity are summarized in the modeling framework.     

模拟降雨对西双版纳热带次生林和橡胶林土壤呼吸的影响

降雨作为一个重要的环境因子,对土壤呼吸具有重要的影响。研究土壤呼吸与降雨的关系,对准确估算大气中的CO2含量具有重要意义。本研究通过人工模拟降雨事件,应用野外原位测定方法,测量了热带次生林和橡胶林土壤呼吸速率、地下5cm土壤温度和土壤含水量的变化,以探究热带两种主要植被类型的土壤呼吸、土壤温度、土壤含水量对旱季单次降雨事件的响应过程与规律。研究发现,在旱季连续一周没有降雨的情况下,人工模拟降雨事件使土壤呼吸在降雨后的2h内被迅速激发,次生林的土壤呼吸最大达到11.15 μmolCO2·m-2·s-1,是对照的近7倍;橡胶林的土壤呼吸最大达到了15.88 μmolCO2·m-2·s-1,是对照的近11倍。随后激发效应迅速降低,尤其是橡胶林,在人工模拟降雨6h后处理与对照间无显著差异。人工模拟降雨前两种林型的土壤含水量与对照相比均无显著性差异,人工模拟降雨后的2d内土壤含水量均显著高于对照;人工模拟降雨前后土壤温度与对照相比均无显著性差异。本研究结果支持了"Birch effect",2种主要热带林型在旱季时期,由于单次降雨事件激发而释放到大气中的CO2是降雨前的数倍。     

寒温带兴安落叶松林凋落物层对土壤呼吸的影响

为了进一步探讨土壤凋落物层对土壤呼吸的影响,用Li-6400对大兴安岭北部3种林型(白桦-落叶松林、樟子松-落叶松林和落叶松纯林)自然状态的土壤呼吸(R_S)、去凋落物后的土壤呼吸(R_D)以及凋落物呼吸(R_L)进行测定,结果表明:凋落物层的去除会使土壤呼吸速率降低,3种林型观测期内平均R_S分别为7.32μmol m^-2 s^-1、8.55μmol m^-2 s^-1和6.66μmol m^-2 s^-1,平均R_D分别为6.46μmol m^-2 s^-1、7.98μmol m^-2 s^-1和5.74μmol m^-2 s^-1。但去除凋落物后的土壤总呼吸速率较自然状态下分别升高了13.85%、16.21%和13.73%;凋落物的去除并不影响...     

小兴安岭5种林型土壤呼吸时空变异

原始阔叶红松林、谷地云冷杉林、阔叶红松择伐林、次生白桦林、人工落叶松林是小兴安岭乃至东北地区的重要森林类型。采用红外气体分析法比较测定了这几种森林类型的土壤呼吸及其相关环境因子,分析探讨了这几种森林类型土壤呼吸的时空变异。结果表明:各林型土壤呼吸与5 cm深土壤温度(T5)呈显著的指数相关,并且土壤呼吸与土壤温度、土壤湿度及其相互作用的回归模型可以解释各林型土壤呼吸约71%的季节变异。生长季平均土壤呼吸速率为次生白桦林(3.59μmolCO.2m-.2s-1)>谷地云冷杉林(3.52μmolCO.2m-.2s-1)>阔叶红松择伐林(3.44μmolCO.2m-.2s-1)>原始阔叶红松林(2.58μmolCO.2m-.2s-1)>人工落叶松林(2.29μmolCO.2m-.2s-1),说明土壤呼吸对原始阔叶红松林人为干扰的响应是不同的。各林型Q10值介于1.84(人工落叶松林)—2.32(次生白桦林)之间。在整个生长季,各林型之间土壤呼吸的变异系数变化幅度为19.74%—37.39%,而各林型内土壤环间其变化幅度为32.13%—60.20%,显著大于样地间的变化幅度14.28%—35.70%(P<0.001),说明土壤呼吸在细微尺度上的差异更大。土壤湿度可以解释各林型(阔叶红松林除外)内部土壤呼吸15.8%—33.5%的空间异质性。     

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。     

帽儿山3种森林生态系统土壤动物与土壤呼吸及其相互关系研究

土壤呼吸是森林生态系统碳循环的关键过程,土壤动物可通过自身代谢及影响微生物活动调控土壤呼吸,因此研究土壤动物与土壤呼吸的相互关系对进一步揭示生态系统碳循环的规律和机理具有重要意义。通过野外定点,以帽儿山3种森林生态系统的土壤呼吸及土壤动物为研究对象,探讨不同森林生态系统的土壤呼吸、土壤动物个体密度和生物量的时间变化规律及二者相互关系。结果表明:(1)3种森林生态系统土壤总呼吸速率与土壤异养呼吸速率均呈现先增强后减弱的时间动态变化(P<0.05),且不同森林生态系统土壤异养呼吸速率差异显著(P<0.05),表现为硬阔叶林最高,红松人工林最低;(2)3种森林生态系统土壤动物生物量也具有显著的时间动态变化(P<0.05),均在9月份达到最大,且不同森林生态系统土壤动物个体密度显著不同(P<0.05),蒙古栎林土壤动物个体密度显著小于红松人工林与硬阔叶林;(3)通过回归分析可得,土壤动物数量及生物量的增加抑制了土壤呼吸速率,尤其在生长季初期、末期。研究表明土壤动物可通过抑制微生物生命活动和降低根系呼吸从而对土壤总呼吸及异养呼吸产生负反馈作用,三者是不可分割的整体,与土壤温度、水分等环境因子共同调控着土壤呼吸。     

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。