青藏高原高寒草甸生态系统CO2通量研究进展

高寒草甸是广布于青藏高原的主要植被类型,它是青藏高原大气与地面之间生物地球化学循环的重要构成部分,在区域碳平衡中起着极为重要的作用。基于对青藏高原主要高寒草甸生态系统类型CO2通量研究方面的综述,系统分析了高寒草甸生态系统CO2通量日、季、年等不同时间尺度的变化特征以及温度、光合有效辐射、降水等主要环境因子对高寒草甸生态系统CO2通量的影响;同时,结合其他地区草地生态系统,就青藏高原三种典型高寒草甸生态系统类型源汇效应和Q10值进行了比较;最后,结合青藏高原高寒草甸生态系统CO2通量研究的现实与需要,提出了当前存在一些不确定性和有待深入研究的问题。     

西藏当雄高寒草甸碳通量定位观测站小气候的基本特征

分析了西藏当雄高寒草甸碳通量站4 a高密度小气候观测资料的净辐射、光合有效辐射,气温的年变化和日变化的规律,绝对湿度、相对湿度、风、大气压、土壤温度及湿度、土壤热通量的年变化规律.该地区具有明显的高原大陆性气候特征,光照强、日照长,太阳辐射和光合有效辐强;气温年较差小,日较差大;空气湿度小,较干燥,雨季和旱季分明,降水集中强度小;气压低,有常风;土壤温度年变化较小,土壤湿度和降水有明显的对应关系,降水节律是土壤湿度的决定因素.     

137Cs示踪法研究青藏高原草甸土的土壤侵蚀

运用137Cs示踪法对青藏高原高寒草甸典型的两个小流域的土壤侵蚀进行了研究,结果表明:高寒草甸植被区的土壤137Cs在土壤剖面中呈指数型分布,分布深度一般在20cm左右;坡顶部由于风蚀、冻融侵蚀和水蚀较强,致使侵蚀强于下部,除坡顶部外其他坡位侵蚀强度都符合坡上部<坡中部<坡下部的规律;高寒草甸植被覆盖度与土壤侵蚀强度呈显著的负相关关系(p<0.01),土壤平均侵蚀模数随植被覆盖度的增加呈线性降低的趋势,相关系数R2达到0.997以上。高寒草甸退化程度越高,土壤侵蚀越强。退化较强的草甸区的平均侵蚀模数是退化较弱区的2.23倍,最大侵蚀模数可达2960.22t/(km2.a)。     

青藏高原高寒草甸优势植物种对大气甲烷行为分异机制

采集青藏高原高寒草甸15种优势植物进行室内沙培实验,利用静态箱-气相色谱法测定其甲烷通量,以确定其对大气甲烷的源汇效应;对植物体实施横切、纵切处理,研究植物甲烷排放的机制.结果显示:8种植物为大气甲烷的源,多为草本植物,7种为大气甲烷的汇,多数灌木植物吸收甲烷;横切、纵切处理对于植物甲烷释放速率的影响显著(p＜0.05),释放甲烷的植物中5种植物纵切后甲烷释放速率增加,增幅10.9％～ 244.06％,6种植物横切后甲烷释放速率增加,增幅27.04％～37.44％,灌丛植物在横切、纵切处理后甲烷通量都呈降低的趋势;对植物纵切处理后甲烷释放速率显著高于未处理与横切处理后植物甲烷释放速率,推测是由于几种处理间对于植物维管束处的气腔破坏程度不同造成的;温度对于植物的甲烷行为影响显著(p＜0.05),随着温度的升高植物甲烷的源/汇效应均呈现增加趋势,甲烷源植物Q10=1.75,甲烷汇植物Q10 =1.44.     

高寒草甸土壤有机碳储量及其垂直分布特征

青藏高原是全球变化的敏感区。高寒草甸草原是青藏高原上最主要的放牧利用草地资源之一。选择青藏高原东北隅海北站内具有代表性的高寒草甸土壤进行高分辨率采样,测定土壤根系和有机碳含量。研究得出,青藏高原高寒草甸土壤贮存有巨大的根系生物量 (23544.60 kg ha^-1~27947 kg ha^-1) 和土壤有机碳 (21.52 GtC);自然土壤表层 (0~10 cm) 储存了整个剖面土壤有机碳总量的30%左右。比较发现,高寒草甸土壤的有机碳平均贮存量 (23.17×10⁴ kgCha^-1) (0~60 cm) 较相应深度的热带森林土壤、灌丛土壤和草地土壤的有机碳贮存量高约1~5倍多。在全球碳预算研究中,青藏高原高寒草甸土壤有机碳库不可忽视。随着全球变暖,表层土壤有机碳分解释放的CO₂将增加。为了减少高寒草甸生态系统的碳排放,应加强高寒草甸土壤地表覆被的保护,合理种植深根系植物。这对减缓全球大气CO₂浓度升高的速率以及可持续开发高寒草甸的生态服务功能都具有重要意义。     

青藏高原太阳辐射对高山草甸净生态系统二氧化碳的影响(英文)

On the Tibetan Plateau, the alpine meadow is the most widespread vegetation type. The alpine meadow has a low biological productivity and low vegetation coverage in the growing season. The daytime NEE between the atmosphere and the alpine meadow ecosystem was influenced by solar radiation. To analyze the characteristics of change in NEE and to calculate the parameters related to photosynthesis and respiration in different solar radiation environments, the NEE measurements were taken in Damxung from July to August in 2003, 2004, 2005 and 2006 using the eddy covariance technique. Solar radiation was grouped into three levels according to the net radiation, which was more than 155 W m-2 d-1 on clear days, 144±5 W m-2 d-1 on partly cloudy days and less than 134 W m-2 d-1 on cloudy days. The diurnal relationships between NEE and PAR varied with differences in solar radiation, which was a rectangular hyperbola form on clear days, two different concave curves on partly cloudy days and an irregular triangle form on cloudy days. The mean CO2 absorption rate showed a decreasing trend with increasing solar radiation. The daytime absorption maximum occurred around 10:00 on clear days with an average of slightly less –0.2 mg m-2 d-1, around 11:00 on partly cloudy days with an average of about –0.2 mg m-2 d-1, and around 12:00 on cloudy days with an average of about –0.25 mg m-2 d-1. As solar radiation increased, the Amax and the Q10 decreased. However, the R10 increased and the maximum of the α occurred on partly cloudy days. The optimum net solar radiation was about 134–155 W m-2 d-1, which induced a PAR of about 1800-2000 μmol m-2 s-1 and soil temperature at a depth of 5 cm of about 14℃. Therefore, on the Tibetan Plateau, the alpine meadow ecosystem will have a higher carbon absorption potential while solar radiation decreases in the future.     

干旱对青藏高原腹地高寒草地生态系统净CO2交换的影响

干旱对草地生态系统NEE有深刻影响。基于涡度相关技术提供的碳通量及小气候数据,研究了2009年当雄高寒草地生态系统的碳交换特征及其主控因子,同时分析了干旱的可能影响。5—7月初及9月发生的干旱导致草地GLAI、ALB和GPP较低,6月中旬到7月初碳吸收一度下降。干旱使6、7月份NEE日变化进程发生改变。同时,NEE和GPP的季节变化也受到干旱影响。由于干旱导致生态系统吸收能力降低,75]3日出现NEE日净碳排放最高值（0．9gCm-2d-1）。5-7月的NEE月总量均大于0,且逐月增加。该草地2009年的GPP和NEE分别为-158．1和52．4gCm。日均0〈01时,0成为影响白天NEE变化的主控因子。GLAI、r和目是3个对NEE季节变异影响最大的指标,且其影响程度依次降低。GPP季节变化的主控因子是GLAI、θ、PPT、VPD和瓦,生态系统水分状况（0、PPT或VPD）对GPP的影响大于T20。Rcco主要受控于t、GLAI、PAR和PPT,且其影响力依次降低。GLAI的季节变化可解释NEE和GPP变异的60．7％和76．1％。当雄高寒草地生态系统水分条件的年际变化可能是影响NEE年际变异的主要因子。     

青藏高原高寒草原生态系统CO2,CH4和N2O排放通量研究

Using static chamber technique, fluxes of CO2, CHh and N2O were measured in the alpinegrassland area from July 2000 to July 2001, determinations of mean fluxes showed that CO2 and N2Owere generally released from the soil, while the alpine grassland accounted for a weak CH4 sink.Fluxes of CO2, CH4 and N2O ranged widely. The highest CO2 emission occurred in August, whereasalmost 90% of the whole year emission occurred in the growing season. But the variations of CH4and N2O fluxes did not show any clear patterns over the one-year-experiment. During a dailyvariation, the maximum CO2 emission occurred at 16:00, and then decreased to the minimumemission in the early morning. Daily pattern analyses indicated that the variation in CO2 fluxes waspositively related to air temperatures (R2=0.73) and soil temperatures at a depth of 5 cm (R2=4).86),whereas daily variations in CH4 and N2O fluxes were poorly explained by soil temperatures andclimatic variables. CO2 emissions in this area were much lower than other grasslands in plain areas.     

Fluxes of CO2, CH4 and N2O from alpine grassland in the Tibetan Plateau

Using static chamber technique, fluxes of CO2, CH4 and N2O were measured in the alpine grassland area from July 2000 to July 2001, determinations of mean fluxes showed that co2 and N2O were generally released from the soil, while the alpine grassland accounted for a weak CH4 sink. Fluxes of CO2, CH4 and N2O ranged widely. The highest co2 emission occurred in August, whereas almost 90% of the whole year emission occurred in the growing season. But the variations of CH4 and N2O fluxes did not show any clear patterns over the one-year-experiment. During a daily variation, the maximum co2 emission occurred at 16:00, and then decreased to the minimum emission in the early morning. Daily pattern analyses indicated that the variation in co2 fluxes was positively related to air temperatures (R2=0.73) and soil temperatures at a depth of 5 cm (R2=0.86), whereas daily variations in CH4 and N2O fluxes were poorly explained by soil temperatures and climatic variables. co2 emissions in this area were much lower than other grasslands in plain areas.     

我国高寒草甸碳循环研究进展

在我国，高寒草甸是广布于青藏高原的主要植被类型之一，它对青藏高原大气与地面之间的能量平衡、水气交换、生物地球化学循环有着极其重要的作用。近年随着人们对全球气候变暖问题的日益关注，高寒草甸，这个全球气候敏感生态系统的源、汇动态及其影响因素的研究，成了认识全球碳循环的关键之一。分析了草地生态系统在碳循环研究中的地位和重要性，对我国高寒草地生态系统碳循环的研究现状作了较为详尽的阐述，包括植物、凋落物和土壤三大碳库以及主要含碳温室气体通量等。     

开垦对高寒草甸土壤有机碳影响的初步研究

在中国科学院海北高寒草甸生态系统定位站地区,选择高寒草甸开垦后形成的一年生人工草地作为研究对象,开垦年限分别为0、1、11、16和20年,利用土壤有机碳密度分组法,进行了0~40cm土层土壤有机碳及不同组分（轻组有机碳,重组有机碳）含量及随开垦年限变化关系的研究。结果表明：高寒草甸开垦后其土壤有机碳的变化主要发生在0~10cm土层,土壤中SOC、LFOC和HFOC呈下降趋势,至20年时分别下降了10.5 %、26.7%、8.1 %,主要原因为当地较为强烈的风蚀作用、耕作侵蚀和开垦加剧了表层（0 ~10cm）土壤有机质的氧化分解,表层土壤中的粗有机物质在降水淋溶作用下,在土体下部重新淀积。而0 ~40 cm土体内,SOC、LFOC和HFOC略有增加,开垦20年,他们的累积速率分别为0.08 t C·hm-2·yr-1、0.07 t C·hm-2·yr-1、0.14 t C·hm-2·yr-1。人工草地长期种植虽然没有改变高寒草甸作为碳汇的基本功能,但却大大降低了其碳汇效应,植物-土壤系统年固定碳量由未开垦前的7.38t C·hm-2·yr-1下降至6.89 t C·hm-2·yr-1。     

青藏高原高寒草原生态系统CO2过程研究

In this paper, the CO2 concentrations profile from 1.5 m depth in soil to 32 m height in atmosphere were measured from July 2000 to July 2001 in an alpine grassland ecosystem located in the permafrost area on the Tibetan Plateau, which revealed that CO2 concentrations varied greatly during this study period. Mean concentrations during the whole experiment in the atmosphere were absolutely lower than the CO2 concentrations in soil, which resulted in CO2 emissions from the alpine steppe soil to the atmosphere. The highest CO2 concentration was found at a depth of 1.5 m in soil while the lowest CO2 concentration occurred in the atmosphere. Mean CO2 concentrations in soil generally increased with depth. This was the compositive influence of the increasing soil moistures and decreasing soil pH, which induced the increasing biological activities with depth. Temporally, the CO2 concentrations at different layers in air remained a more steady state because of the atmospheric turbulent milking. During the seasonal variations, CO2 concentrations at surface soil interface showed symmetrical patterns, with the lowest accumulation of CO2 occurring in the late winter and the highest CO2 concentration in the growing seasons.     

CO2 processes in an alpine grassland ecosystem on the Tibetan Plateau

In this paper, the CO2 concentrations profile from 1.5 m depth in soil to 32 m height in atmosphere were measured from July 2000 to July 2001 in an alpine grassland ecosystem located in the permafrost area on the Tibetan Plateau, which revealed that CO2 concentrations varied greatly during this study period. Mean concentrations during the whole experiment in the atmosphere were absolutely lower than the CO2 concentrations in soil, which resulted in CO2 emissions from the alpine steppe soil to the atmosphere. The highest CO2 concentration was found at a depth of 1.5 m in soil while the lowest CO2 concentration occurred in the atmosphere. Mean CO2 concentrations in soil generally increased with depth. This was the compositive influence of the increasing soil moistures and decreasing soil pH, which induced the increasing biological activities with depth. Temporally, the CO2 concentrations at different layers in air remained a more steady state because of the atmospheric turbulent milking. During the seasonal variations, CO2 concentrations at surface soil interface showed symmetrical patterns, with the lowest accumulation of CO2 occurring in the late winter and the highest CO2 concentration in the growing seasons.     

Comparison of Methods for Evaluating the Forage-livestock Balance of Alpine Grasslands on the Northern Tibetan Plateau

Livestock grazing is one of primary way to use grasslands throughout the world, and the forage-livestock balance of grasslands is a core issue determining animal husbandry sustainability. However, there are few methods for assessing the forage-livestock balance and none of those consider the dynamics of external abiotic factors that influence forage yields. In this study, we combine long-term field observations with remote sensing data and meteorological records of temperature and precipitation to quantify the impacts of climate change and human activities on the forage-livestock balance of alpine grasslands on the northern Tibetan Plateau for the years 2000 to 2016. We developed two methods: one is statical method based on equilibrium theory and the other is dynamic method based on non-equilibrium theory. We also examined the uncertainties and shortcomings of using these two methods as a basis for formulating policies for sustainable grassland management. Our results from the statical method showed severe overgrazing in the grasslands of all counties observed except Nyima (including Shuanghu) for the entire period from 2000 to 2016. In contrast, the results from the dynamic method showed overgrazing in only eight years of the study period 2000-2016, while in the other nine years alpine grasslands throughout the northern Tibetan Plateau were less grazed and had forage surpluses. Additionally, the dynamic method found that the alpine grasslands of counties in the northeastern and southwestern areas of the northern Tibetan Plateau were overgrazed, and that alpine grasslands in the central area of the plateau were less grazed with forage surpluses. The latter finding is consistent with field surveys. Therefore, we suggest that the dynamic method is more appropriate for assessment of forage-livestock management efforts in alpine grasslands on the northern Tibetan Plateau. However, the statical method is still recommended for assessments of alpine grasslands profoundly disturbed by irrational human activities.     

Fluxes of CO<Subscript>2</Subscript>, CH<Subscript>4</Subscript> and N<Subscript>2</Subscript>O from alpine grassland in the Tibetan Plateau

Using static chamber technique,fluxes of CO2,CH4 and N2O were measured in the alpine grassland area from July 2000 to July 2001,determinations of mean fluxes showed that CO2 and N2O were generally released from the soil,while the alpine grassland accounted for a weak CH4 sink.Fluxes of CO2,CH4 and N2O ranged widely.The highest CO2 emission occurred in August,whereas almost 90?of the whole year emission occurred in the growing season.But the variations of CH4 and N2O fluxes did not show any clear patterns over the one-year-experiment.During a daily variation,the maximum CO2 emission occurred at 16:00,and then decreased to the minimum emission in the early morning.Daily pattern analyses indicated that the variation in CO2 fluxes was positively related to air temperatures(R^2=0.73)and soil temperatures at a depth of 5 cm(R^2=0.86),whereas daily variations in CH4 and N2O fluxes were poorly explained by soil temperatures and climatic variables.CO2 emissions in this area were much lower than other grasslands in plain areas.     

CO<Subscript>2</Subscript> processes in an alpine grassland ecosystem on the Tibetan Plateau

In this paper, the CO2 concentrations profile from 1.5 m depth in soil to 32 m height in atmosphere were measured from July 2000 to July 2001 in an alpine grassland ecosystem located in the permafrost area on the Tibetan Plateau, which revealed that CO2 concentrations varied greatly during this study period. Mean concentrations during the whole experiment in the atmosphere were absolutely lower than the CO2 concentrations in soil, which resulted in CO2 emissions from the alpine steppe soil to the atmosphere. The highest CO2 concentration was found at a depth of 1.5 m in soil while the lowest CO2 concentration occurred in the atmosphere. Mean CO2 concentrations in soil generally increased with depth. This was the compositive influence of the increasing soil moistures and decreasing soil pH, which induced the increasing biological activities with depth. Temporally, the CO2 concentrations at different layers in air remained a more steady state because of the atmospheric turbulent milking. During the seasonal variations, CO2 concentrations at surface soil interface showed symmetrical patterns, with the lowest accumulation of CO2 occurring in the late winter and the highest CO2 concentration in the growine seasons.     

藏北高山嵩草草甸植被和多样性在沙漠化过程中的变化

为确定沙漠化对高山嵩草草甸植被组成、结构和物种多样性的影响,了解高寒区草甸沙漠化的原因,选择西藏那曲安多县南部沙漠化严重区域为调查区,按照沙漠化的不同程度设置样地,系统调查了轻度、中度、重度和极重度沙化草甸的植被变化,结果表明：中度、重度和极重度沙化区的植被与轻度沙化草甸有显著的差异;在中度和重度沙化区,高寒草甸的建群种高山嵩草已被家畜不喜食或更具抗性的植物种所取代,而在极重度沙化的流动沙丘上无植被生长;从过牧的退化草甸到半流动、流动沙丘,植物种多样性呈显著的降低趋势。轻度沙化草甸物种数、个体密度和丰富度指数最多;中度沙化草甸的Shannon\|Wiener指数和均匀度指数最大,而优势度指数最小;在沙化过程中,高寒草甸的植被盖度显著下降,地上生物量也在下降,虽然轻度、中度和重度沙化草地的地上生物量显著高于极重度沙化区,但前者之间却无显著差异。地下根系生物量也呈显著下降的趋势。过牧是造成高山嵩草草甸沙化的主要原因。     

The Effect of Higher Warming on Vegetation Indices and Biomass Production is Dampened by Greater Drying in an Alpine Meadow on the Northern Tibetan Plateau

In order to understand whether or not the response of vegetation indices and biomass production to warming varies with warming magnitude, an experiment of field warming at two magnitudes was conducted in an alpine meadow on the northern Tibetan Plateau beginning in late June, 2013. The normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI) and soil adjusted vegetation index (SAVI) data were obtained using a Tetracam Agricultural Digital Camera in 2013-2014. The gross primary production (GPP) and aboveground plant biomass (AGB) were modeled using the surface measured NDVI and climatic data during the growing seasons (i.e. June-September) in 2013-2014. Both low and high warming significantly increased air temperature by 1.54 and 4.00°C, respectively, and significantly increased vapor pressure deficit by 0.13 and 0.31 kPa, respectively, in 2013-2014. There were no significant differences of GNDVI, AGB and ANPP among the three warming treatments. The high warming significantly reduced average NDVI by 23.3% (-0.06), while the low warming did not affect average NDVI. The low and high warming significantly decreased average SAVI by 19.0% (-0.04) and 27.4% (-0.05), respectively, and average GPP by 24.2% (i.e. 0.21 g C m^-2 d^-1) and 44.0% (i.e. 0.39 g C m^-2 d^-1), respectively. However, the differences of the average NDVI, SAVI, and GPP between low and high warming were negligible. Our findings suggest that a greater drying may dampen the effect of a higher warming on vegetation indices and biomass production in alpine meadow on the northern Tibetan Plateau.