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 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.     

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.     

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.     

北极新奥尔松地区夏季近地面CO2、CH4和N2O浓度的观测研究

2008和2009年夏在北极新奥尔松地区（Ny-Ålesund）不同苔原区域（鸟类保护区、海滩苔原、矿区、人类活动区等）监测CO₂、CH₄和N₂O近地面浓度的时空变化并分析其可能的影响因素。2008年7月25日-8月13日和2009年7月13-26日,在不同观测区域设置常规和非常规采样点采集气体样品共239瓶并妥善保存。实验室内使用气相色谱（GC）测定准确真空瓶中温室气体（CO₂、CH₄和N₂O）的浓度。鸟类保护区的日变化中,2008年鸟类保护区CO₂和N₂O日变化浓度均大于2009年约30 ppm和25 ppb。2008年海滩苔原CO₂浓度均高于2009年约30 ppm;N₂O浓度低于2009年11 ppb;2008年鸟类保护区CH₄浓度低于2009年,而海滩苔原2008年浓度高于2009年,差值均约为0.7 ppm。这些年际变化可能由环境条件（天气变化等）和地表覆盖情况的变化引起。高海鸟活动区（HB）CO₂浓度低于海鸟活动较少的区域（MB 和 LB）;鸟类保护区CO₂浓度低于海滩苔原,N₂O浓度高于海滩苔原,主要原因是海鸟活动和鸟粪增加了土壤营养元素,影响苔藓植被发育的情况并改变上垫面状况。综合不同苔原区域：新奥尔松地区CO₂和CH₄浓度高于ZEP (Zeppelin Station)监测平均浓度,地表向大气输送CO₂和CH₄;而N₂O低于ZEP监测的平均浓度,地表从大气吸收N₂O。不同区域影响因素不同：鸟类保护区、海滩苔原和鸟岛主要是受到海鸟活动影响;矿区主要是受水分和土壤基质影响;站区和机场受到人类活动影响但并不明显,总的来说直接原因是由于地表覆盖情况以及地形不同引起。     

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。     

土地利用/覆被变化对土壤温室气体排放通量影响

土地利用/覆被变化影响温室气体的净排放,改变了全球温室气体的收支平衡.森林、草地和农田之间的转化、湿地和旱地的转化及土地管理措施的不同,影响着土壤碳的释放和其他痕量气体的排放,从而改变全球变暖增温的综合潜力(GWP),因此要综合考虑土地利用/覆被变化对土壤CO2、CH4和N2O排放通量的影响.加强对温室气体发生机理的研究,选取合理的土地利用和士地管理方式,减少全球大气温室气体浓度增加,是未来研究的重点和难点.     

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.     

青藏高原高寒草原区域碳估测

CASA(Carnegie-Ames-Stanford Biosphere)模型是一个表征陆地生态系统水、碳素和氮素通量随时间变化的生态系统过程模型。本研究采用MODIS遥感数据与CASA模型相结合的方法计算了青藏高原高寒草原生态系统植被净初级生产力(NPP)总量为20.57×10¹²g·a^-1的碳。同时根据五道梁实验点上得到的经验关系估算了青藏高原高寒草原生态系统区域上的土壤碳排放(Heterotrophic respiration)总量为8.07×10¹² g·a^-1,因此推算得高寒草原区域内净生态系统生产力(NEP)折算成碳为12.50×10¹² g·a^-1。     

内蒙古羊草草原不同物候期CH4通量日变化特征与日通量比较

利用静态暗箱法对内蒙古半干旱羊草草原不同物候期原状群落与土壤CH4 通量的日变化进行了野外定位试验研究 ,结果表明 :羊草草原土壤为大气CH4 的吸收汇 ,不同观测日CH4 通量的日变化特征存在较大差异 ;气温及表层地温与CH4 吸收通量除果后营养期呈显著或极显著正相关外 ,其余观测日两者的相关性不明显 ;原状群落与土壤CH4 吸收通量间除2 0 0 2年果后营养期以及 2 0 0 3年开花期两者差异分别达到 0 10与 0 0 5的显著性水平外 ,两者在其余观测日差异均不显著 ;不同物候期间CH4 日平均通量除原状群落开花期与结实后期间 ,开花期与 2 0 0 1年果后营养期以及结实后期与 2 0 0 2年果后营养期间差异显著外 ,其它不同物候期之间CH4 吸收通量没有显著差异     

Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan Plateau since 1982简

Based on the GIMMS AVHRR NDVI data （8 km spatial resolution） for 1982-2000, the SPOT VEGETATION NDVI data （1 km spatial resolution） for 1998-2009, and observa- tional plant biomass data, the CASA model was used to model changes in alpine grassland net primary production （NPP） on the Tibetan Plateau （TP）. This study will help to evaluate the health conditions of the alpine grassland ecosystem, and is of great importance to the pro- motion of sustainable development of plateau pasture and to the understanding of the func- tion of the national ecological security shelter on the TP. The spatio-temporal characteristics of NPP change were investigated using spatial statistical analysis, separately on the basis of physico-geographical factors （natural zone, altitude, latitude and longitude）, river basin, and county-level administrative area. Data processing was carried out using an ENVI 4.8 platform, while an ArcGIS 9.3 and ANUSPLIN platform was used to conduct the spatial analysis and mapping. The primary results are as follows： （1） The NPP of alpine grassland on the TP gradually decreases from the southeast to the northwest, which corresponds to gradients in precipitation and temperature. From 1982 to 2009, the average annual total NPP in the TP alpine grassland was 177.2x1012 gC yrl（yr represents year）, while the average annual NPP was 120.8 gC m^-2 yr^-1. （2） The annual NPP in alpine grassland on the TP fluctuates from year to year but shows an overall positive trend ranging from 114.7 gC m^-2 yr^-1 in 1982 to 129.9 gC m^-2 yr^-1 in 2009, with an overall increase of 13.3%; 32.56% of the total alpine grassland on the TP showed a significant increase in NPP, while only 5.55% showed a significant decrease over this 28-year period. （3） Spatio-temporal characteristics are an important control on an- nual NPP in alpine grassland： a） NPP increased in most of the natural zones on the TP, only showing a slight decrease in the Ngari montane desert-steppe and desert zone. The positive trend in NPP in the high-cold shrub-meadow zone, high-cold meadow steppe zone and high-cold steppe zone is more significant than that of the high-cold desert zone; b） with in- creasing altitude, the percentage area with a positive trend in annual NPP follows a trend of ＂increasing-stable-decreasing＂, while the percentage area with a negative trend in annual NPP follows a trend of ＂decreasing-stable-increasing＂, with increasing altitude; c） the varia- tion in annual NPP with latitude and longitude co-varies with the vegetation distribution; d） the variation in annual NPP within the major river basins has a generally positive trend, of which the growth in NPP in the Yellow River Basin is most significant. Results show that, based on changes in NPP trends, vegetation coverage and phonological phenomenon with time, NPP has been declining in certain places successively, while the overall health of the alpine grassland on the TP is improving.     

青藏高原草地地上生物量和理论载畜量

准确模拟和预测草地地上生物量(Aboveground biomass,AGB)和理论载畜量对于维持草地生态系统平衡、优化放牧管理至关重要。当前很多研究以围栏外草地AGB为基础,估算了青藏高原草地AGB的现存量。但是,牛羊啃食后的草地AGB现存量无法准确评估草地理论载畜量。围栏内草地不受家畜采食影响,其年际变率由环境因子驱动,可视为草地潜在AGB (potential AGB,AGB_p),更适用于草地理论载畜量的评估。本研究以青藏高原345个围栏内AGB观测数据为基础,结合气候、土壤和地形数据,利用随机森林算法构建草地潜在地上生物量估算模型,并对当前气候条件(2000-2018年)和未来20年(2021-2040年)4种气候变化情景(SSP1-2.6、SSP2-4.5、SSP3-7.0和SSP5-8.5)下的草地AGB_p和高寒草地理论载畜量进行模拟与预测。结果表明:(1)随机森林算法可准确模拟当前气候条件下的青藏高寒草地AGB_p(R²=0.76,P<0.001);2000-2018年青藏高寒草地AGB_p平均值为102.4 g m^-2,时间上增加趋势不明显(P>0.05);AGB_p年际波动和生长季降水显著正相关(R²=0.57,P<0.001),和生长季温度日较差显著负相关(R²=0.51,P<0.001)。(2)当前气候条件下,青藏高寒草地平均理论载畜量为0.94 SSU ha^-1(standardized sheep unit ha^-1);在过去20年约有54.1%草地理论载畜量呈提升状态。(3)和当前相比,未来20年青藏高原中部和北部草地AGB_p和理论载畜量呈下降态势。因此,建议未来在厘清气候变化影响下草畜关系的基础上进行有针对性的草牧业规划和管理,以缓解区域气候变化引起的草畜矛盾。     

Responses of Soil CO2, CH4 and N2O Fluxes to N,P, and Acid Additions in Mixed Forest in Subtropical China

Understanding how nitrogen (N) availability interacts with soil acidity and phosphorus (P) availability to affect soil-atmosphere exchanges in CO₂, CH₄ and N₂O in forest ecosystems is important for understanding the mechanisms driving ecosystem responses to enhanced N deposition. Here, we conducted an experiment with N, P and acid (H) addition in a mixed forest in subtropical China to investigate how acid and P addition affects CO₂, CH₄ and N₂O exchange under N addition. Our results showed that soil NH₄⁺-N and NO₃^--N increased after N addition, but CO₂ emissions in N addition plots remained unaffected. CH₄ uptake in N-, P-, NP-, NH- and NPH-addition plots were reduced by 21.1%, 15.7%, 39.1%, 26.6%, and 28.4%, respectively. CH₄ uptake in NP-addition plots were lower compared to N-addition and P-addition plots, indicating that N and P addition had an additive effect on inhibiting CH₄ uptake. N₂O emission in N-, NP-, NH- and NPH-addition plots increased by 158.6%, 176.0%, 117.2%, and 91.8%, respectively. N₂O emissions in NPH-addition plots were lower compared to NP-addition plots while showed no difference between N-addition and NH-addition plots. This suggests that only under P rich conditions, acid addition would greatly mitigate N₂O emissions under N addition. Our results demonstrate that for N and P co-limited forest ecosystems with acidic soils, low P availability constrains the inhibition of soil CH₄ uptake by N deposition. When P availability is low, a weak soil acidation induced by N deposition may have less influence on the stimulation of N₂O emissions by N deposition.     

三江平原湿地CH4、N2O的地-气交换特征

利用暗箱-气相色谱法对三江平原3种具有代表性的湿地类型（常年积水的毛果苔草沼泽、季节性积水的小叶章湿草甸和灌丛湿地）进行了为期两年的CH⁴和N²O现场同步观测。结果表明,湿地全年CH⁴和N²O通量有明显的季节和年际变化,与温度和土壤水分条件密切相关。在发生季节性干旱的年份,生长季（5月¹0月）CH⁴排放通量峰值出现在6月和8月,呈双峰型;而在降水充沛的年份,CH⁴排放通量峰值出现在6、7月份,呈单峰型。冰冻期（11月到次年4月）CH⁴排放通量十分的微弱,其中灌丛湿地表现为负排放。3种类型湿地N²O通量一般在非冰冻期表现为排放,呈双峰型,5月份融化期为第一个高峰期,7、8月为第二个高峰期,冰雪覆盖期表现为吸收。湿地CH⁴和N²O通量在春季的融冻期,存在此消彼长的现象。     

Biophysical Regulation of Carbon Flux in Different Rainfall Regime in a Northern Tibetan Alpine Meadow

Inter-annual variability in total precipitation can lead to significant changes in carbon flux. In this study, we used the eddy covariance (EC) technique to measure the net CO₂ ecosystem exchange (NEE) of an alpine meadow in the northern Tibetan Plateau. In 2005 the meadow had precipitation of 489.9 mm and in 2006 precipitation of 241.1 mm, which, respectively, represent normal and dry years as compared to the mean annual precipitation of 476 mm. The EC measured NEE was 87.70 g C m^-2 yr^-1 in 2006 and -2.35 g C m^-2 yr^-1 in 2005. Therefore, the grassland was carbon neutral to the atmosphere in the normal year, while it was a carbon source in the dry year, indicating this ecosystem will become a CO₂ source if climate warming results in more drought conditions. The drought conditions in the dry year limited gross ecosystem CO₂ exchange (GEE), leaf area index (LAI) and the duration of ecosystem carbon uptake. During the peak of growing season the maximum daily rate of NEE and P_max and α were approximately 30%-50% of those of the normal year. GEE and NEE were strongly related to photosynthetically active radiation (PAR) on half-hourly scale, but this relationship was confounded by air temperature (T_a), soil water content (SWC) and vapor pressure deficit (VPD). The absolute values of NEE declined with higher T_a, higher VPD and lower SWC conditions. Beyond the appropriate range of PAR, high solar radiation exacerbated soil water conditions and thus reduced daytime NEE. Optimal T_a and VPD for maximum daytime NEE were 12.7℃ and 0.42 KPa respectively, and the absolute values of NEE increased with SWC. Variation in LAI explained around 77% of the change in GEE and NEE. Variations in R_e were mainly controlled by soil temperature (T_s), whereas soil water content regulated the responses of Re to T_s.     

内蒙古温带半干旱羊草草原N2O通量及其影响因素

利用静态箱 -气相色谱法于 2 0 0 1～ 2 0 0 3年对内蒙古锡林河流域羊草草原进行了连续 2年的野外定位试验 ,获得羊草草原原状群落与土壤N2 O年排放通量分别在 3 91～ 4 71μgm- 2h- 1以及 5 5 0～ 10 0 3μgm- 2 h- 1范围内变动 ,证明内蒙古温带半干旱羊草草原生态系统是大气中N2 O的源 ;系统分析了羊草草原N2 O通量的季节变化、源汇特征以及关键的环境因子对草地N2 O通量的影响等 ,建立了N2 O通量与环境因子间的回归方程 ;并利用两年连续完整的观测数据对羊草草原N2 O年排放量进行了估算     

青藏高原高寒草地净初级生产力(NPP)时空分异

基于1982-2009 年间的遥感数据和野外台站生态实测数据,利用遥感生产力模型(CASA模型) 估算青藏高原高寒草地植被净初级生产力(NPP),分别从地带属性(自然地带、海拔高程、经纬度)、流域、行政区域(县级) 等方面对其时空变化过程进行分析,阐述了1982 年以来青藏高原高寒草地植被NPP的时空格局与变化特征。结果表明:① 青藏高原高寒草地NPP多年均值的空间分布表现为由东南向西北逐渐递减;1982-2009 年间,青藏高原高寒草地的年均总NPP为177.2×10¹² gC·yr^-1,单位面积年均植被NPP为120.8 gC·m^-2yr^-1;② 研究时段内,青藏高原高寒草地年均NPP 在112.6~129.9 gC·m^-2yr^-1 间,呈波动上升的趋势,增幅为13.3%;NPP 增加的草地占草地总面积的32.56%、减少的占5.55%;③ 青藏高原多数自然地带内的NPP呈增加趋势,仅阿里山地半荒漠、荒漠地带NPP呈轻微减低趋势,其中高寒灌丛草甸地带和草原地带的NPP增长幅度明显大于高寒荒漠地带;年均NPP增加面积比随着海拔升高呈现"升高—稳定—降低"的特点,而降低面积比则呈现"降低—稳定—升高"的特征;④ 各主要流域草地年均植被NPP均呈现增长趋势,其中黄河流域增长趋势显著且增幅最大。植被NPP和盖度及生长季时空变化显示,青藏高原高寒草地生态系统健康状况总体改善局部恶化。     

青海湖高寒湿地生态系统CO2通量和水汽通量间的耦合关系

利用涡度相关技术对青海湖高寒湿地生态系统不同时间尺度CO₂通量和水汽通量间的耦合关系进行了研究。结果显示：不同天气条件下青海湖高寒湿地生态系统30 min净CO₂交换量（NEE）与水汽通量间均显示了极显著负相关关系（P<0.0001）;30 min总生态系统生产力（GEP）与水汽通量呈极显著线性正相关关系（P<0.0001）;阴天水汽通量参与生态系统净CO₂交换和生态系统总碳吸收的比例最高。月均30 min NEE与水汽通量呈极显著线性负相关（R²=0.71,P<0.0001）。从植物返青期、生长期至枯草期,月均30 min的GEP与水汽通量不仅呈极显著线性正相关（P<0.0001）,且在生长期和枯黄期阶段表现出极显著一元二次多项式关系（P<0.0001）。在日尺度上,NEE日总量与日蒸散量呈极显著一元二次多项式负相关关系（R²=0.58,P<0.0001）;GEP日总量与日蒸散量呈极显著指数正相关（R²=0.42,P<0.0001）。在月尺度上,NEE月总量与月蒸散量呈极显著线性负相关（R²=0.60,P<0.0001）,两者还表现为极显著一元二次多项式负相关关系（R²=0.63,P<0.0001）。GEP月总量与月蒸散量呈极显著线性正相关（R²=0.51,P<0.0001）,且表现出极显著指数正相关关系（R²=0.64,P<0.0001）。