内蒙古草原温室气体交换通量

草地生态系统是地球上十分重要的陆生生态系统,内蒙古草原在我国草地生态系统中占有重要地位,其在全球温室气体收支平衡中扮演重要角色。统计分析内蒙古地区34个观测地点的多年(1995—2012)温室气体观测数据,得到内蒙古3种主要草原类型(草甸草原、典型草原、荒漠草原)主要温室气体(CO2、CH4、N_2O)的年度或生长季平均通量并据此判断其温室气体源汇类型,并选择内蒙古草原中分布最广泛的典型草原的温室气体交换通量与环境因子进行相关性分析。结果显示,典型草原、荒漠草原表现为CO2交换源汇动态变化的过程(生长季交换通量分别为(-4.26±15.57)mg C m~(-2)h~(-1)、(-42.5±5.42)mg C m~(-2)h~(-1)表现为汇,年度交换通量分别为(20.64±11.54)mg C m~(-2)h~(-1)、(18.04±2.48)mg C m~(-2)h~(-1)表现为源),草甸草原CO2年度交换通量为(-10.31±1.15)mg C m~(-2)h~(-1)表现为汇;草甸草原、典型草原、荒漠草原CH4年度交换通量分别为(-30.48±9.57)μg C m~(-2)h~(-1)、(-41.25±3.61)μg C m~(-2)h~(-1)、(-85.00±51.03)μg C m~(-2)h~(-1),均表现为CH4的汇、N_2O年度交换通量分别为(28.40±7.27)μg N m~(-2)h~(-1)、(3.18±0.91)μg N m~(-2)h~(-1)、(2.51±0.67)μg N m~(-2)h~(-1),均表现为N_2O的源。在典型草原温室气体交换通量与环境因子的相关性分析中发现,CH4平均吸收通量与降水量(P0.05)、土壤湿度(P0.05)、土壤温度(P0.01)有显著或是极显著线性正相关关系;CO2平均通量与降水量(P0.01)、土壤湿度(P0.01)、叶面积指数(P0.01)有极显著线性负相关关系,与气温(P0.01)有极显著线性正相关关系;N_2O平均通量与降水量(P0.05)、土壤湿度(P0.05)、气温(P0.01)有显著或极显著的线性正相关关系。     

内蒙古不同类型草原光合植被覆盖度对降水变化的响应

植被是影响土壤侵蚀过程的重要因素。论文基于MODIS遥感数据和同期降水数据,用相关和回归分析方法从不同时间尺度揭示了内蒙古草甸草原、典型草原和荒漠草原2002—2016年光合植被覆盖度(Fractional Photosynthetic Vegetation,f_(PV))的变化规律及其对降水变化的响应。结果表明:(1)2002—2016年间多年平均f_(PV)草甸草原为46.5%,典型草原和荒漠草原分别为36.3%和22.4%;草甸草原f_(PV)随时间变化呈不显著增长趋势(线性变化斜率为0.29%/a),典型草原和荒漠草原f_(PV)呈不显著下降趋势(线性变化斜率分别为-0.04%/a和-0.21%/a);相应时期年降水量随时间变化都呈现不显著波动上升趋势。(2)内蒙古草原的月植被覆盖度对月降水量存在明显的1—2个月滞后效应和显著的累积效应,且表现出草原类型越干旱,滞后效应越明显的特征;相比草甸草原和典型草原,荒漠草原植被对降水量变化更加敏感。(3)内蒙古3类草原年平均植被覆盖度对降水量的响应,均表现出年、季、月尺度上分别受当年降水量、生长季降水量以及6、7、8月份降水量的显著影响的特征;3类草原年植被覆盖度与生长季降水线性拟合结果都较好,内蒙古3种草原类型的年植被覆盖度与降水量具有的强相关性,可为区域土壤侵蚀动态评价提供科学依据。     

锡林河流域两类植物群落土壤呼吸特征的比较

采用碱液吸收法对锡林河流域一个半干旱典型草原群落的土壤呼吸进行了5个月的野外测定,并对其与气候因子和生物量之间的关系进行了分析.另选择了锡林河岸边的一个沼泽化草甸群落作为对比来研究土壤湿度和植被类型对土壤呼吸的影响.主要结果包括:1)两个群落土壤呼吸的季节动态基本一致,均出现了两个峰值,其中草原群落和草甸群落土壤呼吸速率的变化范围分别为312.8～1 738.9mgC@m-2@d-1和354.6～2 235.6 mg C@m -2@d-1.草甸群落的土壤呼吸速率明显高于草原群落,它们的日平均土壤呼吸速率分别为1 349.6 mg C@m-2@d-1和785.9mg C@m-2@d1;2)在草原群落中,土壤呼吸速率与土壤湿度的相关性比其与温度的关系更加显著,而在草甸群落正好相反,反映出这两种气候因子在不同生境中起着不同的作用.根据土壤呼吸与气温之间的同归关系外推出2001年生长季草原群落和草甸群落的土壤呼吸量分别为142.4 g C/m2和236.1 g C/m2;3)在草甸群落中,地上总生物量与土壤呼吸速率之间没有显著的相关关系,而地上部活体生物量与土壤呼吸速率之间则存有很显著的幂函数关系.在草原群落中,土壤呼吸速率与地上活体生物量或地上总生物量的相关性均很弱.     

内蒙古温带草原土壤微生物生物量碳的空间分布及驱动因素

【目的】探索内蒙古温带草原土壤微生物生物量碳的空间分布特征以及驱动因素。【方法】在内蒙古自治区境内沿着年均温、年降水梯度选择17个草原样点,在土壤剖面上分0-10 cm、10-20 cm、20-40 cm、40-60 cm、60-100 cm五层,分别采集土壤样品,测定土壤微生物生物量碳以及主要的环境和生物影响因子,分析不同草地类型以及不同土壤深度土壤微生物生物量碳的差异,探索非生物因子和生物因子对土壤微生物量碳的影响。【结果】草甸草原土壤微生物量碳最高,典型草原次之,荒漠草原最低。在0-10 cm土壤中,草地类型间的微生物量碳变异系数高于草甸草原和典型草原,低于荒漠草原;在0-100 cm土壤中,草甸草原样点间的微生物量碳的变异系数低于典型草原和荒漠草原。土壤微生物量碳与年降水、土壤含水量、粘粒含量、土壤养分元素、地上生物量、地下生物量呈显著正相关,与年均温和土壤p H值呈显著负相关关系。随着土壤深度的增加,土壤微生物量碳显著减少,非生物因子与微生物量碳的相关性减弱,草地类型间以及同一草地类型不同样点间的变异系数增加。0-10 cm土壤微生物量碳与10-40 cm土壤微生物量碳的相关指数高于0.5,与40-100 cm的土壤微生物量碳的相关指数小于0.3。【结论】内蒙古温带草原土壤微生物量碳的垂直分布呈现一定的规律性,且非生物因子对微生物量碳的影响也呈现垂直减弱的规律。     

Effects of pulse precipitation on soil organic matter mineralization in forests: spatial variation and controlling factors

脉冲降水对森林中土壤有机物矿化的影响：空间变化和控制因素 降水脉冲效应使土壤有机物在短时间内迅速分解并释放大量CO₂到大气中。降水脉冲效应对生态系统的碳循环和土壤碳平衡的研究具有十分重要的意义,但它在森林土壤中的空间变化和基本机制仍不清楚。我们采集中国东部22个典型森林生态系统的土壤样品(0–10cm),研究模拟脉冲降水对土壤微生物呼吸速率的影响。模拟降水脉冲使土壤样品达到65%饱和含水量,以分钟为单位测量R_s,持续48 小时。研究结果显示,降水脉冲可以使微生物呼吸速率迅速增加1.70–38.12倍。微生物最大呼吸速率 (R_s-soil-max)、碳释放总量R_s (A_Rs-soil)和达到呼吸峰值的时间(T_Rs-soil-max)在不同的土壤中存在显著差异。此外,不同 气候区的脉冲效应也有明显不同。中温带的R_s-soil-max (11.701 µg C g⁻¹ soil h⁻¹)和A_Rs-soil (300.712 µg C g⁻¹ soil)最高。土壤化学特性(总碳和总氮、pH值和氧化还原电位)和土壤粒径与森林土壤的脉冲效应密切相关,但土壤微生物的贡献较小。我们的研究结果表明,在大尺度范围内,脉冲变化短期内增加森林土壤中CO₂的排放,并揭示了对这种变化影响最大的因素。这些发现为未来对森林生态系统的碳循环和调节全球生态系统碳循环的研究提供科学数据支持。     

降水量及N添加对荒漠草原植物和土壤微生物C∶N∶P生态化学计量特征的影响

基于2017年在宁夏荒漠草原设立的降水量(减少50%、减少30%、自然降水、增加30%以及增加50%)和N添加(0和5 g·m~(-2)·a~(-1))野外试验,研究了植物和土壤微生物C∶N∶P生态化学计量特征,分析二者与土壤C∶N∶P生态化学计量特征及其他土壤因子的关系,以探讨降水格局改变和大气N沉降增加下荒漠草原植物和土壤微生物C∶N∶P平衡特征及其主要影响因素。结果表明:(1)减少降水量对荒漠草原植物和土壤微生物C∶N∶P生态化学计量特征的影响较小,反映了二者对短期干旱的适应性;增加降水量降低了植物和土壤微生物生物量N和P含量,不同程度地提高了C∶N和C∶P,但其影响程度与N添加有关。(2)增减降水量条件下, N添加对植物生态化学计量特征影响较小,但对土壤微生物C∶N∶P生态化学计量特征影响较大,尤其在增加降水量条件下表现得更明显,意味着降水激发了N添加效应。(3)植物全N含量、N∶P以及土壤微生物生物量N含量的内稳性较低,可较好地反映土壤N供给水平以及N、P受限类型。(4)与植物C∶N∶P生态化学计量特征关系较强的土壤因子为速效P含量、磷酸酶活性、电导率、C∶P和有机C含量,与土壤微生物C∶N∶P生态化学计量特征关系较强的土壤因子有电导率、含水量、蔗糖酶活性和磷酸酶活性,表明植物和土壤微生物C∶N∶P平衡特征主要受其他土壤因子的调控,而非土壤元素平衡关系。     

锡林河流域两类植物群落土壤呼吸特征的比较

采用碱液吸收法对锡林河流域一个半干旱典型草原群落的土壤呼吸进行了5个月的野外测定,并对其与气候因子和生物量之间的关系进行了分析。另选择了锡林河岸边的一个沼泽化草甸群落作为对比来研究土壤湿度和植被类型对土壤呼吸的影响。主要结果包括:1)两个群落土壤呼吸的季节动态基本一致,均出现了两个峰值,其中草原群落和草甸群落土壤呼吸速率的变化范围分别为312.8～1 738.9 mg C·m-2·d-1 和354.6～2 235.6 mg C·m-2·d-1。草甸群落的土壤呼吸速率明显高于草原群落,它们的日平均土壤呼吸速率分别为1 349.6 mg C·m-2·d-1和785.9mg C·m-2·d-1; 2)在草原群落中,土壤呼吸速率与土壤湿度的相关性比其与温度的关系更加显著,而在草甸群落正好相反,反映出这两种气候因子在不同生境中起着不同的作用。根据土壤呼吸与气温之间的回归关系外推出2001年生长季草原群落和草甸群落的土壤呼吸量分别为142.4 g C/m2 和 236.1 g C/m2;3)在草甸群落中,地上总生物量与土壤呼吸速率之间没有显著的相关关系,而地上部活体生物量与土壤呼吸速率之间则存有很显著的幂函数关系。在草原群落中,土壤呼吸速率与地上活体生物量或地上总生物量的相关性均很弱。     

增加降水对干旱河谷区云南松人工林土壤呼吸的影响

2013年5月至2014年6月,对干旱河谷区云南松(Pinus yunnanensis)人工林进行增加降水试验,试验设置对照(CK,0 mm m~(-2)a~(-1))、增水10%(A1,80 mm m~(-2)a~(-1))、增水20%(A2,160 mm m~(-2)a~(-1))和增水30%(A3,240 mm m~(-2)a~(-1))4个处理水平。采用LI-8100开路式土壤碳通量测量系统测定每月土壤呼吸速率。结果表明,4个处理云南松人工林土壤呼吸速率均呈明显的季节变化,7月最高,2月最低。与CK相比,A1年均土壤呼吸速率无显著性差异(P0.05),A2显著增加了12.88%(P0.05),而A3明显减少了17.71%(P0.05)。3个增水处理均提高了土壤呼吸的温度敏感性,减弱了土壤呼吸与土壤湿度的关系。与土壤温度相比,土壤湿度对土壤呼吸的影响相对较小。增水增加了湿季土壤微生物碳、氮含量,干季对微生物碳含量无影响,但明显降低了微生物氮含量。这说明,降水增加对干旱河谷区云南松人工林土壤呼吸的影响是不尽相同的,适当的增水会促进土壤呼吸,而过量的增水会抑制土壤呼吸。     

4个工业大麻品种对根际土壤酶活性的影响

[目的]明确工业大麻对根际土壤酶活性的影响规律。[方法]田间种植火麻一号、格里昂、金刀-15和格列西亚,在不同生长阶段采集根际土,分析不同品种工业大麻对土壤酶活性影响。[结果]土壤过氧化氢酶活性总体呈上升趋势,峰值为0. 89 m L·g~(-1)·20min~(-1);蔗糖酶、脲酶和磷酸酶的峰值(分别为14. 76 mg·g~(-1)·d~(-1)、338. 64和79. 57μg·g~(-1)·h~(-1))出现在快速生长期,随后呈下降趋势。工艺成熟期,火麻一号和格列西亚的蔗糖酶活性(分别为10. 07、11. 03 mg·g~(-1)·d~(-1))高于其它品种;火麻一号的脲酶活性(161. 34μg·g~(-1)·h~(-1))高于其他三个品种;格列西亚的磷酸酶活性(29. 98μg·g~(-1)·h~(-1))高于其他三个品种。[结论]随着工业大麻生长,土壤过氧化氢酶活性总体呈上升趋势;土壤蔗糖酶活性呈波动性变化,在快速生长期达峰值;土壤脲酶和磷酸酶活性呈先升高后降低的趋势,在快速生长期达峰值。工业大麻通过提高过氧化氢酶和蔗糖酶活性促进土壤养分转化,能增强土壤有机碳转化。     

降水时间对内蒙古温带草原地上净初级生产力的影响

全球气候变化下降水时间的改变将深刻影响草原生态系统地上净初级生产力(ANPP),而草原生态系统ANPP是区域碳循环的重要过程.利用1998-2007年的SPOT-VEG NDVI数据并结合111个样点的ANPP地面样方调查数据,获得了内蒙古温带草原1998-2007年的ANPP区域数据,依此分析了中国内蒙古温带草原以及区域内的3种植被类型(荒漠草原、典型草原、草甸草原)降水时间对ANPP的影响.研究结果表明,对于整个内蒙古温带草原来说,一个水分年内(从上一年9月份到当年地上生物量达最大值时的8月份)影响ANPP较为重要的降水月份为2-7月份,其中,5-7月份降水尤为重要.具体到每个月降水的影响,研究发现,7月份降水最重要,而仍处于生长季的8月份降水相对于其他生长季降水作用最小;影响不同草地类型最重要的降水时期存在一定差异,对荒漠草原和典型草原地区来说,ANPP达最大值前3个月(5-7月份)的生长季降水最重要,而8月份降水影响较小,而草甸草原地区8月份和非生长季的3、4月份降水最重要,但各个降水时期降水对ANPP的影响都较荒漠草原和典型草原小,大部分地区降水对ANPP的影响不显著.     

Determinants of soil organic carbon sequestration and its contribution to ecosystem carbon sinks of planted forests

The area of forest established through afforestation/reforestation has been increasing on a global scale, which is particularly important as these planted forests attenuate climate change by sequestering carbon. However, the determinants of soil organic carbon (SOC) sequestration and their contribution to the ecosystem carbon sink of planted forests remain uncertain. By using globally distributed data extracted from 154 peer‐reviewed publications and a total of 355 sampling points, we investigated above‐ground biomass carbon (ABC) sequestration and SOC sequestration across three different climatic zones (tropical, warm temperate, and cold temperate) through correlation analysis, regression models, and structural equation modeling (SEM). We found that the proportion of SOC sequestration in the ecosystem C sequestration averaged 14.1% globally, being the highest (27.0%) in the warm temperate and the lowest (10.7%) in the tropical climatic zones. The proportion was mainly affected by latitude. The sink rate of ABC (R_ABC) in tropical climates (2.48 Mg C ha^?1 year^?1) and the sink rate of SOC (R_SOC) in warm temperate climates (0.96 Mg C ha^?1 year^?1) were higher than other climatic zones. The main determinants of R_SOC were the number of frost‐free days, latitude, mean annual precipitation (MAP), and SOC density (SOCD) at the initial observation; however, these variables depended on the climatic zone. According to the SEM, frost‐free period, mean annual temperature (MAT) and MAP are the dominant driving factors affecting R_SOC in Chinese plantations. MAT has a positive effect on R_SOC, and global warming may increase R_SOC of temperate plantations in China. Our findings highlight the determinants of SOC sequestration and quantitatively reveal the substantial global contribution of SOC sequestration to ecosystem carbon sink provided by planted forests. Our results help managers identify and control key factors to increase carbon sequestration in forest ecosystems.     

Differential effects of grazing,water, and nitrogen addition on soil respiration and its components in a meadow steppe

Background and aims

Understanding the influences of environmental variation and anthropogenic disturbance on soil respiration (R_S) is critical for accurate prediction of ecosystem C uptake and release. However, surprisingly, little is known about how soil respiration and its components respond to grazing in the context of global climate change (i.e., precipitation or nitrogen deposition increase).

Methods

We conducted a field manipulative grazing experiment with water and nitrogen addition treatments in a meadow grassland on the Songnen Plain, China, and assessed the combined influences of grazing and global change factors on R_S, autotrophic respiration (R_A), and heterotrophic respiration (R_H).

Results

Compared with the control plots, R_S, R_A and R_H all exhibited positive responses to water or nitrogen addition in the wet year, while a similar effect occurred only for R_H in the dry year. The responses of R_S to precipitation regimes were dominated by both frequency and amount. However, grazing significantly inhibited both soil respiration and its components in all subplots. Further analysis demonstrated that the plant root/shoot ratio, belowground biomass and microbial biomass played dominant roles in shaping these C exchange processes.

Conclusion

These findings suggest that changes in precipitation regimes, nitrogen deposition, and land utilization may significantly alter soil respiration and its component processes by affecting local carbon users (roots and soil microorganism) and carbon substrate supply in meadow steppe grasslands. The future soil carbon sequestration in the studied meadow steppe will be benefited more by the moderate grazing disturbance.

     

Integration of Process-based Soil Respiration Models with Whole-Ecosystem CO2 Measurements

We integrated soil models with an established ecosystem process model (SIPNET, simplified photosynthesis and evapotranspiration model) to investigate the influence of soil processes on modelled values of soil CO₂ fluxes (R _Soil). Model parameters were determined from literature values and a data assimilation routine that used a 7-year record of the net ecosystem exchange of CO₂ and environmental variables collected at a high-elevation subalpine forest (the Niwot Ridge AmeriFlux site). These soil models were subsequently evaluated in how they estimated the seasonal contribution of R _Soil to total ecosystem respiration (TER) and the seasonal contribution of root respiration (R _Root) to R _Soil. Additionally, these soil models were compared to data assimilation output of linear models of soil heterotrophic respiration. Explicit modelling of root dynamics led to better agreement with literature values of the contribution of R _Soil to TER. Estimates of R _Soil/TER when root dynamics were considered ranged from 0.3 to 0.6; without modelling root biomass dynamics these values were 0.1–0.3. Hence, we conclude that modelling of root biomass dynamics is critically important to model the R _Soil/TER ratio correctly. When soil heterotrophic respiration was dependent on linear functions of temperature and moisture independent of soil carbon pool size, worse model-data fits were produced. Adding additional complexity to the soil pool marginally improved the model-data fit from the base model, but issues remained. The soil models were not successful in modelling R _Root/R _Soil. This is partially attributable to estimated turnover parameters of soil carbon pools not agreeing with expected values from literature and being poorly constrained by the parameter estimation routine. We conclude that net ecosystem exchange of CO₂ alone cannot constrain specific rhizospheric and microbial components of soil respiration. Reasons for this include inability of the data assimilation routine to constrain soil parameters using ecosystem CO₂ flux measurements and not considering the effect of other resource limitations (for example, nitrogen) on the microbe biomass. Future data assimilation studies with these models should include ecosystem-scale measurements of R _Soil in the parameter estimation routine and experimentally determine soil model parameters not constrained by the parameter estimation routine.     

人工模拟降水条件下旱作农田土壤“Birch效应”及其响应机制

降水事件引起干土复湿刺激土壤CO_2,脉冲释放的现象被称为"Birch效应",其作用机制可能是降水刺激土壤"底物供给"增加或引起土壤"微生物胁迫"所致。为深入了解土壤"Birch效应"对降水格局改变的响应过程及内在机制,在冬小麦拔节期和夏闲期分别进行了不同降水量(1-32 mm)人工模拟降水实验,系统观测了降水后0-72 h土壤呼吸及土壤碳组分变化特征,结果表明:土壤呼吸随降水量的增大而增强,1-16 mm降水土壤呼吸峰值出现在降水后4h,而32 mm降水土壤呼吸峰值出现时间滞后了4 h。与较小降水量相比,较大的降水量能增加土壤呼吸但会推迟土壤呼吸峰值出现时间。土壤呼吸速率峰值(SRP)与降水量(P)呈幂相关(拔节期:SR-P=0.97P~(0.09),R~2=0.5,P0.05;夏闲期:SR-P=1.07P~(0.09),R~2=0.98,P0.01)。降水后72h累积CO_2释放量(CO_2-P)与降水量呈线性相关(拔节期:CO_2-P=0.03P+5.99,R~2=0.58,P0.05;夏闲期:CO_2-P=0.11P+6.04,R~2=0.86,P0.01)。土壤呼吸温度敏感性系数和降水量之间存在二次曲线关系(拔节期:Q_(10)=-0.007P~2+0.2P+0.7,R~2=0.32,R~20.05;夏闲期:Q_(10)=-0.01P~2+0.3P+0.2,R~2=0.86,P0.01)。逐步回归分析表明,冬小麦拔节期所有降水量处理土壤呼吸与土壤微生物量碳相关性均达到显著水平(P0.05),指示土壤"Birch效应"是由"微生物胁迫"所致。而在夏闲期,当降水量小于8 mm时土壤呼吸与微生物量碳相关性显著,即以微生物胁迫机制占主导;8 mm降水处理下土壤呼吸与氯仿熏蒸-K_2SO_4提取态有机碳相关性达到极显著水平,指示则为两种机制共同起作用,而当降水量大于16 mm时,土壤呼吸主要与可提取态有机碳显著相关,"Birch"效应转为以底物供给机制占主导。与夏闲期相比,冬小麦拔节期作物生长会削弱"Birch效应",并改变其响应机制。     

中国西北部草地植被降水利用效率的时空格局

植被降水利用效率(PUE)是评价干旱、半干旱地区植被生产力对降水量时空动态响应特征的重要指标。利用光能利用率CASA(Carnegie-Ames-Stanford Approach)模型估算了2001—2010年中国西北七省草地植被净初级生产力(NPP),结合降水量的空间插值数据,分析了近十年草地植被PUE的空间分布、主要植被类型的PUE,及其时空格局的驱动因素。结果表明:(1)2001—2010年西北七省草地植被的平均PUE为0.68 g C m~(-2)mm~(-1)。在温带草地各类型中,PUE的大小顺序为草甸草原灌丛典型草原荒漠草原荒漠,各类型草地PUE之间差异显著;对于高寒草地而言,高寒草原的PUE显著高于高寒草甸;(2)温带草地PUE的空间分布与年降水量的关系呈抛物线形状(R~2=0.65,P0.001),PUE峰值出现在年降水量P=472.9 mm的地区;荒漠地区植被PUE的空间分布与年降水量的关系同样呈抛物线形状(R~2=0.63,P0.001),PUE峰值出现在年降水量P=263.2mm的地区;对于高寒草地而言,年降水量100 mm以下地区植被PUE变异较大,年降水量大于100 mm的地区植被PUE的空间分布随降水量的变化呈抛物线形状(R~2=0.47,P0.001),PUE峰值出现在P=559.2 mm的地区;(3)不同降水量区域,植被PUE的年际波动与气候因子的关系也有较大差别。在年降水量为200—1000 mm的地区,草地PUE的年际波动与年降水量的变化呈正相关;在年降水量高于1050 mm的地区,草地PUE的年际波动与年均温的相关性较强,相关系数最高可达到0.4。     

Seasonal and Spatial Variations of Bulk Nitrogen Deposition and the Impacts on the Carbon Cycle in the Arid/Semiarid Grassland of Inner Mongolia,China

Atmospheric nitrogen (N) deposition is an important component that affects the structure and function of different terrestrial ecosystem worldwide. However, much uncertainty still remains concerning the magnitude of N deposition on grassland ecosystem in China. To study the spatial and temporal patterns of bulk N deposition, the levels of N (NH₄ ⁺-N and NO₃ ^--N) concentration in rainfall were measured at 12 sites across a 1200 km grassland transect in Inner Mongolia, China, and the respective N deposition rates were estimated. The inorganic N deposition rates ranged from 4.53 kg N ha^-1 to 12.21 kg N ha^-1 with a mean value of 8.07 kg N ha^-1 during the entire growing season, decreasing steadily from the eastern to the western regions. Inorganic N deposition occurred mainly in July and August across meadow steppe, typical steppe, and desert steppe, which corresponded to the seasonal distribution of mean annual precipitation. A positive relationship was found between inorganic N deposition and mean annual precipitation (R² = 0.54 ~ 0.72, P < 0.0001) across the grassland transect. Annual estimation of inorganic N deposition was 0.67 Pg yr^-1 in Inner Mongolia, China based on the correlation between N deposition rates and precipitation. N deposition was an important factor controlling aboveground biomass and ecosystem respiration, but has no effect on root biomass and soil respiration. We must clarify that we used the bulk deposition samplers during the entire sampling process and estimated the dissolved NH₄ ⁺-N and NO₃ ^--N deposition rates during the entire growing season. Long-term N deposition monitoring networks should be constructed to study the patterns of N deposition and its potential effect on grassland ecosystem, considering various N species, i.e., gaseous N, particle N, and wet N deposition.     

土壤细菌呼吸对西双版纳热带森林恢复的响应

揭示不同恢复阶段热带森林土壤细菌呼吸季节变化及其主控因素,对于探明土壤细菌呼吸对热带森林恢复的响应机制具有重要的科学意义。以西双版纳不同恢复阶段热带森林(白背桐群落、崖豆藤群落和高檐蒲桃群落)为研究对象,运用真菌呼吸抑制法及高通量宏基因组测序技术分别测定土壤细菌呼吸速率和细菌多样性,并采用回归分析及结构方程模型揭示热带森林恢复过程中土壤细菌多样性、pH、土壤碳氮组分变化对土壤细菌呼吸速率的影响特征。结果表明：1)不同恢复阶段热带森林土壤细菌呼吸速率表现为：高檐蒲桃群落((1.51±0.62)CO₂ mg g^-1 h^-1)显著高于崖豆藤群落((1.16±0.56)CO₂ mg g^-1 h^-1)和白背桐群落((0.82±0.60)CO₂ mg g^-1 h^-1)(P<0.05)。2)不同恢复阶段土壤细菌呼吸速率呈显著的单峰型季节变化(P<0.05),最大值均出现在9月：高檐蒲桃群落((...     

Partitioning of respiration from soil,litter and plants in a mixed-grassland ecosystem

Summary Carbon dioxide effluxes from plants, litter and soil were measured in two mixed-grassland sites in Saskatchewan, Canada. Ecosystems at both locations were dominated by Agropyron dasystachyum (Hook.) Scribn. Respiration rates of intact and experimentally-modified systems were measured in field chambers using alkali-absorption. Removal of green leaves, dead leaves, and litter from a wet sward reduced respiration to as low as 58% of the rate in an intact system. In a dry sward green shoots were the only significant above-ground source of CO₂.Carbon dioxide effluxes from different parts of A. dasystachyum plants, and from soil samples were measured in laboratory vessels at 20° using alkali-absorption. Respiration of green leaves (1.46 mg CO₂ g^-1 h^-1) was significantly higher than microbial respiration in moist, dead leaf samples (0.79 mg CO₂ g^-1 h^-1) or litter (0.75 mg CO₂ g^-1 h^-1). Microbial respiration in air-dried, dead plant material was very low. Average repiration rates of roots separated from soil cores (0.24 mg CO₂ g^-1 h^-1) were lower than many values reported in the literature, probably because the root population sampled included inactive, suberized and senescent roots. Root respiration was estimated to be 17–26% of total CO₂ efflux from intact cores.Laboratory data and field measurements of environmental conditions and plant biomass were combined in order to reconstruct the CO₂ efflux from the shoot-root-soil system. Reconstructed rates were 1.3 to 2.3 times as large as field measured rates, apparently because of stimulation to respiration caused by the experimental manipulations. The standing dead and litter fractions contributed 26% and 23% of the total CO₂ efflux in a wet sward. Both field-measured and reconstructed repiration values suggest that in situ decomposition of standing dead material under moist conditions can be a significant part of carbon balance in mixed grassland.     

Contribution of root to soil respiration and carbon balance in disturbed and undisturbed grassland communities, northeast China

Changes in the composition of plant species induced by grassland degradation may alter soil respiration rates and decrease carbon sequestration; however, few studies in this area have been conducted. We used net primary productivity (NPP), microbial biomass carbon (MBC), and soil organic carbon (SOC) to examine the changes in soil respiration and carbon balance in two Chinese temperate grassland communities dominated by Leymus chinensis (undisturbed community; Community 1) and Puccinellia tenuiflora (degraded community; Community 2), respectively. Soil respiration varied from 2.5 to 11.9 g CO₂ m⁻² d⁻¹ and from 1.5 to 9.3 g CO₂ m⁻² d⁻¹, and the contribution of root respiration to total soil respiration from 38% to 76% and from 25% to 72% in Communities 1 and 2, respectively. During the growing season (May–September), soil respiration, shoot biomass, live root biomass, MBC and SOC in Community 2 decreased by 28%, 39%, 45%, 55% and 29%, respectively, compared to those in Community 1. The considerably lower net ecosystem productivity in Community 2 than in Community 1 (104.56 vs. 224.73 g C m⁻² yr⁻¹) suggests that the degradation has significantly decreased carbon sequestration of the ecosystems.     

The effect of chemical fertilizer on soil organic carbon renewal and CO2 emission—a pot experiment with maize

Background and Aims

Previous studies have clearly shown substantial increases of soil organic carbon (SOC) in agricultural soils of Yellow River reaches. Those soils did not receive organic fertilizer input, but did receive chemical fertilizer inputs. Thus, to investigate the hypothesis that the observed SOC increases were driven by chemical fertilizer additions, a maize pot experiment was conducted using a Fluvisol that developed under C₃ vegetation in the Yellow River reaches.

Methods

Using the natural ¹³C abundance method we calculated the SOC renewal ratio (C _renewal), and separated total soil organic carbon (TOC) into maize-derived soil organic carbon (SOC_maize) and original soil organic carbon (SOC_original). Carbon dioxide fluxes and microbial biomass carbon (MBC) were determined by closed chamber method and fumigation-extraction method, respectively. The experiment included five treatments: (1) NPK: application of chemical fertilizer NPK; (2) NP, application of chemical fertilizer NP; (3) PK: application of chemical fertilizer PK; (4) NK, application of chemical fertilizer NK; and (5) CK: unfertilized control.

Results

Fertilization increased maize biomass (including grain, straw and root), TOC, C _renewal, SOC_maize, maize-derived carbon (MDC: including SOC_maize, and root and stubble biomass carbon) and MBC, and these values among the treatments ranked NPK>NP>PK>NK>CK. The C _renewal was 5.54–8.50% across the treatments. Fertilization also increased soil CO₂ emission (including root respiration and SOC_original decomposition), while the SOC_original decomposition during the maize growing season only amounted to 74.0–93.4 and 33.5–46.1% of SOC_maize and MDC among the treatments, respectively. Thus input was larger than export, and led to SOC increase. Maize grain and straw biomass were positively and significantly correlated with soil δ¹³C, TOC, C _renewal, SOC_maize, MDC and MBC.

Conclusions

The study suggests that chemical fertilizer application could increase C _renewal by increasing crop-derived C and accelerating original SOC decomposition, and that as long as a certain level of crop yield or aboveground biomass can be achieved, application of chemical fertilizer alone can maintain or increase SOC level in Fluvisol in the Yellow River reaches.