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。     

Livestock Dynamic Responses to Climate Change in Alpine Grasslands on the Northern Tibetan Plateau: Forage Consumption and Time-lag Effects

Climate change and forage-intake are important components of livestock population systems, but our knowledge about the effects of changes in these properties on livestock is limited, particularly on the Northern Tibetan Plateau. Based on corresponding independent models (CASA and TEM), a human-induced NPP (NPP_H) value and forage-intake threshold were obtained to determine their influences on livestock population fluctuation and regrowth on the plateau. The intake threshold value provided compatible results with livestock population performance. If the forage-intake was greater than the critical value of 1.9 (kg DM d^-1 sheep^-1), the livestock population increased; otherwise, the livestock population decreased. It takes four years to transfer a disturbance in primary productivity to the next trophic level. The relationships between livestock population and NPP_H value determined population dynamics via the forage-intake value threshold. Improved knowledge on lag effects will advance our understanding of drivers of climatic changes on livestock population dynamics.     

藏北高原土壤的温湿特征

通过藏北高原两个站点(D110和安多)土壤温湿特性的分析,表明浅层土壤温度的变化幅度明显的比深层的要大,而且浅层土壤温度受地表随机天气过程的影响较大。浅层(20cm)土壤在未冻结前湿度的变化幅度不但受形成降水的地表随机天气过程的影响,而且受其下层土壤湿度状况的影响。下层土壤湿度越小,浅层(20cm)土壤湿度的变化幅度越大。土壤湿度和土壤温度之间存在着明显的相互关系,土壤的湿度状况能够影响土壤温度变化的幅度和土壤温度变化的趋势。     

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)。     

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.     

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.     

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.     

Responses of aboveground biomass of alpine grasslands to climate changes on the Qinghai-Tibet Plateau

Aboveground biomass in grasslands of the Qinghai-Tibet Plateau has displayed an overall increasing trend during 2003-2016, which is profoundly influenced by climate change. However, the responses of different biomes show large discrepancies, in both size and magnitude. By applying partial least squares regression, we calculated the correlation between peak aboveground biomass and mean monthly temperature and monthly total precipitation in the preceding 12 months for three different grassland types (alpine steppe, alpine meadow, and temperate steppe) on the central and eastern Qinghai-Tibet Plateau. The results showed that mean temperature in most preceding months was positively correlated with peak aboveground biomass of alpine meadow and alpine steppe, while mean temperature in the preceding October and February to June was significantly negatively correlated with peak aboveground biomass of temperate steppe. Precipitation in all months had a promoting effect on biomass of alpine meadow, but its correlations with biomass of alpine steppe and temperate steppe were inconsistent. It is worth noting that, in a warmer, wetter climate, peak aboveground biomass of alpine meadow would increase more than that of alpine steppe, while that of temperate steppe would decrease significantly, providing support for the hypothesis of conservative growth strategies by vegetation in stressed ecosystems.     

Variations in the Drought Severity Index in Response to Climate Change on the Tibetan Plateau

Quantifying the relationship between the drought severity index and climate factors is crucial for predicting drought risk in situations characterized by climate change. However, variations in drought risk are not readily discernible under conditions of climate change, and this is particularly the case on the Tibetan Plateau. This study examines the correlations between the annual drought severity index (DSI) and 14 climate factors (including temperature, precipitation, humidity, wind speed, and hours of sunshine factors), on the Tibetan Plateau from 2000 to 2011. Spatial average DSI increased with precipitation and minimum relative humidity, while it decreased as the hours of sunshine increased. The correlation between DSI and climate factors varied with vegetation types. In alpine meadows, the correlation of the spatial DSI average with the percentage of sunshine and hours of sunshine (P<0.001) was higher compared to that in alpine steppes (P<0.05). Similarly, average vapor pressure and minimum relative humidity had significant positive effects on spatial DSI in alpine meadows, but had insignificant effects in alpine steppes. The magnitude of DSI change correlated negatively with temperature, precipitation, and vapor pressure, and positively with wind speed and sunshine. This demonstrates that the correlation between drought and climate change on the Tibetan Plateau is dependent on the type of ecosystem.     

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。     

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。     

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.     

青藏高原草地生态系统生物量碳库研究进展

准确认识青藏高原草地生物量碳库及其变化规律对研究区域碳循环与合理利用草地资源具有重要意义。通过综述相关文献,将青藏高原草地生物量碳库的研究方法与结果概括如下:①当前草地生物量碳库的估算方法主要有4种:文献记录法、实地调查法、遥感—植被指数法和过程模型法等,而估算方法、采样标准与地下生物量估算是导致结果差异的主要因素;②文献结果显示,青藏高原草地生物量的平均碳密度为223 g/m2,碳库为277TgC(1Tg=1012g);③采用遥感的估算结果表明,近20年来青藏高原草地地上生物量碳库呈增加的趋势,总体处于碳汇状态;④影响青藏高原草地地上生物量的主要因子是降水量,温度对生物量的影响还存在不确定性,人为干扰也是影响草地生物量的重要因素。目前青藏高原草地生物量碳库的研究仍存在着一些问题,应从基础观测数据、遥感模型算法与碳—氮—水耦合过程模拟等方面开展更为深入的研究。     

青藏高原高寒牧区聚落时空演化及驱动机制——以藏北那曲县为例

以青藏高原北部牧区那曲县为研究对象,基于多时相高清遥感影像精确提取的2005、2010和2017年3期聚落斑块数据,综合运用GIS分析技术定量测度了那曲县聚落演化的总体特征和空间指向特性,并进一步探讨了聚落格局及演化的驱动机制。结果表明：① 2005~2017年,那曲县聚落规模和密度均呈增大态势,由数量增长型扩张转变为规模增大型扩张;聚落形态演变表现出阶段性差异,由空间无序向规整有序转变;聚落以小型为主,面积小于1 hm ²的斑块数占比高达69%,在时间演化上小聚落向大、中型聚落晋级趋势明显;聚落规模空间相关性显著,大斑块集聚区以县城所在地为中心沿青藏公路向西南方向延伸,小斑块集聚区长期围绕那曲镇外围呈“环形”分布。②特殊的自然本底塑造了那曲县聚落低山缓坡趋向和亲水近路特征,受生存环境和生计方式影响,聚落布局呈现避灾特性,聚落演化的优质草场指向性明显,随着高原乡镇经济职能的日益强化,聚落演化逐渐呈现出与内陆城镇化地区类似的乡镇中心地指向。③高海拔、破碎地貌、自然灾害多发易发、草场禀赋差异及水系纵横等自然环境因素塑造了那曲县聚落大范围小规模沿河谷阶地零散分布的基本格局,而政策、市场化与人口增长、区位条件、管理制度及文化观念等社会人文因素是推动聚落演化的主要动力。     

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.     

Multifunctionality and Thresholds of Alpine Grassland on the Tibetan Plateau

Ecosystems can simultaneously provide multiple functions and services. Knowledge on the combinations of such multi-dimensional functions is critical for accurately assessing the carrying capacity and implementing sustainable management. However, accurately quantify the multifunctionality of ecosystems remains challenging due to the dependence and close association among individual functions. Here, we quantified spatial patterns in the multifunctionality of alpine grassland on the Tibetan Plateau by integrating four important individual functions based on data collected from a field survey and remote sensing NDVI. After mapping the spatial pattern of multifunctionality, we extracted multifunctionality values across four types of grassland along the northern Tibet Plateau transect. Effects of climate and grazing intensity on the multifunctionality were differentiated. Our results showed that the highest values of multifunctionality occurred in the alpine meadow. Low values of multifunctionality were comparable in different types of grassland. Annual precipitation explained the large variation of multifunctionality across the different types of grassland in the transect, which showed a significantly positive effect on the multifunctionality. Grazing intensity further explained the rest of the variation in the multifunctionality (residuals), which showed a shift from neutral or positive to negative effects on multifunctionality across the different types of grassland. The consistently rapid declines of belowground biomass, SOC, and species richness resulted in the collapse of the multifunctionality as bare ground cover amounted to 75%, which corresponded to a multifunctionality value of 0.233. Our results are the first to show the spatial pattern of grassland multifunctionality. The rapid decline of the multifunctionality suggests that a collapse in the multifunctionality can occur after the vegetation cover decreases to 25%, which is also accompanied by rapid losses of species and other individual functions. Our results are expected to provide evidence and direction for the sustainable development of alpine grassland and restoration management.     

青藏高原的气候植被模型研究进展

气候植被研究是全球变化研究的重要内容, 而模型研究是气候植被研究的重要手段。青藏 高原以其特殊的自然环境特点, 形成了气候与植被独特的适应机制, 为许多通用气候植被模型所 不能反映, 加之所受到人类活动的干扰相对较少, 决定其为植被气候研究的重要实验场地。本文 回顾了气候植被模型发展的相关历程, 评述了每类模型的特点及其不足。从植被格局研究和植被 生产力研究两个方面, 对青藏高原的气候植被研究进行了总结和分析, 认为模型研究是气候植被 研究的重要手段, 而青藏高原的研究在这方面还比较落后, 同时对青藏高原气候植被模型研究中 存在的一些问题, 如数据精度、模型的适宜性和结果验证等进行了讨论。认为今后青藏高原气候 植被模型研究的重点应是进一步明晰气候植被的关键过程, 立足高原环境特点开发有高原特色 的气候植被模型。