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1.
Fencing is the most common land-management practice to protect grassland degradation from livestock overgrazing on the Tibetan Plateau. However, it is unclear whether fencing reduces CO_2, CH_4, and N_2O emission. Here, we selected four vegetation types of alpine meadow(graminoid, shrub, forb, and sparse vegetation) to determine fencing effects on ecosystem respiration(Re), CH_4, and N_2O fluxes during the growing season. Despite increased average monthly ecosystem respiration(Re) for fenced graminoid vegetation at the end of the growing season, there was no significant difference between grazing and fencing across all vegetation types. Fencing significantly reduced average CH_4 uptake by about 50% in 2008 only for forb vegetation and increased average N_2O release for graminoid vegetation by 38% and 48% in 2008 and 2009,respectively. Temperature, moisture, total organic carbon, C/N, nitrate, ammonia, and/or bulk density of soil, as well as above-and belowground biomass, explained 19%~71% and 6%~33% of variation in daily and average Re and CH_4 fluxes across all vegetation types, while soil-bulk density explained 27% of variation in average N_2O fluxes. Stepwise regression showed that soil temperature and soil moisture controlled average Re, while soil moisture and bulk density controlled average CH_4 fluxes. These results indicate that abiotic factors control Re, CH_4, and N_2O fluxes; and grazing exclusion has little effect on reducing their emission—implying that climatic change rather than grazing may have a more important influence on the budgets of Re and CH_4 for the Tibetan alpine meadow during the growing season.  相似文献   

2.
Based on the static opaque chamber method,the respiration rates of soil microbial respiration,soil respiration,and ecosystem respiration were measured through continuous in-situ experiments during rapid growth season in semiarid Leymus chinensis steppe in the Xilin River Basin of Inner Mongolia,China. Soil temperature and moisture were the main factor affecting respiration rates. Soil temperature can explain most CO2 efflux variations (R2=0.376-0.655) excluding data of low soil water conditions. Soil moisture can also effectively explain most of the variations of soil and ecosystem respiration (R2=0.314-0.583),but it can not explain much of the variation of microbial respiration (R2=0.063). Low soil water content (≤5%) inhibited CO2 efflux though the soil temperature was high. Rewetting the soil after a long drought resulted in substantial increases in CO2 flux at high temperature. Bi-variable models based on soil temperature at 5 cm depth and soil moisture at 0-10 cm depth can explain about 70% of the variations of CO2 effluxes. The contribution of soil respiration to ecosystem respiration averaged 59.4%,ranging from 47.3% to 72.4%; the contribution of root respiration to soil respiration averaged 20.5%,ranging from 11.7% to 51.7%. The contribution of soil to ecosystem respiration was a little overestimated and root to soil respiration little underestimated because of the increased soil water content that occurred as a result of plant removal.  相似文献   

3.
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.  相似文献   

4.
Elucidating the complex mechanism between urbanization,economic growth,carbon dioxide emissions is fundamental necessary to inform effective strategies on energy saving and emission reduction in China. Based on a balanced panel data of 31 provinces in China over the period 1997–2010,this study empirically examines the relationships among urbanization,economic growth and carbon dioxide(CO2) emissions at the national and regional levels using panel cointegration and vector error correction model and Granger causality tests. Results showed that urbanization,economic growth and CO2 emissions are integrated of order one. Urbanization contributes to economic growth,both of which increase CO2 emissions in China and its eastern,central and western regions. The impact of urbanization on CO2 emissions in the western region was larger than that in the eastern and central regions. But economic growth had a larger impact on CO2 emissions in the eastern region than that in the central and western regions. Panel causality analysis revealed a bidirectional long-run causal relationship among urbanization,economic growth and CO2 emissions,indicating that in the long run,urbanization does have a causal effect on economic growth in China,both of which have causal effect on CO2 emissions. At the regional level,we also found a bidirectional long-run causality between land urbanization and economic growth in eastern and central China. These results demonstrated that it might be difficult for China to pursue carbon emissions reduction policy and to control urban expansion without impeding economic growth in the long run. In the short-run,we observed a unidirectional causation running from land urbanization to CO2 emissions and from economic growth to CO2 emissions in the eastern and central regions. Further investigations revealed an inverted N-shaped relationship between CO2 emissions and economic growth in China,not supporting the environmental Kuznets curve(EKC) hypothesis. Our empirical findings have an important reference value for policy-makers in formulating effective energy saving and emission reduction strategies for China.  相似文献   

5.
Kerosene, a grade mineral oil, is commonly used to extract beetles from sediment. Here, the use of kerosene to extract chironomid head capsules was tested on 10 samples from sediment of different lakes, with different organic matter content as measured by loss on ignition, and estimated ages. Our results revealed that this flotation tool is very effective in extracting either full or half chironomid head capsules. The mean extraction efficiency was 89.3 ± 8.0% with an estimated relative abundance error ranging from −1% to 1% for 46 of the 57 identified taxa. Larger chironomids (400–500 μm width), which are often full of sediment particles, have the highest relative abundance error, with a maximum of 4.3% for Corynocera oliveri-type. A canonical correspondence analysis showed that, despite this small bias, samples retrieved with the kerosene flotation do not differ from the whole sample assemblages. These results give us confidence in the use of this flotation technique for chironomid sample preparation.  相似文献   

6.
中国不同区域能源消费碳足迹的时空变化(英文)   总被引：4，自引：2，他引：2  
Study on regional carbon emission is one of the hot topics under the background of global climate change and low-carbon economic development, and also help to establish different low-carbon strategies for different regions. On the basis of energy consumption and land use data of different regions in China from 1999 to 2008, this paper established carbon emission and carbon footprint models based on total energy consumption, and calculated the amount of carbon emissions and carbon footprint in different regions of China from 1999 to 2008. The author also analyzed carbon emission density and per unit area carbon footprint for each region. Finally, advices for decreasing carbon footprint were put forward. The main conclusions are as follows: (1) Carbon emissions from total energy consumption increased 129% from 1999 to 2008 in China, but its spatial distribution pattern among different regions just slightly changed, the sorting of carbon emission amount was: Eastern China > Northern China > Central and Southern China > Southwest China > Northwest China. (2) The sorting of carbon emission density was: Eastern China > Northeast China > Central and Southern China > Northern China > Southwest China > Northwest China from 1999 to 2003, but from 2004 Central and Southern China began to have higher carbon emission density than Northeast China, the order of other regions did not change. (3) Carbon footprint increased significantly since the rapid increasing of carbon emissions and less increasing area of pro-ductive land in different regions of China from 1999 to 2008. Northern China had the largest carbon footprint, and Northwest China, Eastern China, Northern China, Central and Southern China followed in turn, while Southwest China presented the lowest area of carbon footprint and the highest percentage of carbon absorption. (4) Mainly influenced by regional land area, Northern China presented the highest per unit area carbon footprint and followed by Eastern China, and Northeast China; Central and Southern China, and Northwest China had a similar medium per unit area carbon footprint; Southwest China always had the lowest per unit area carbon footprint. (5) China faced great ecological pressure brought by carbon emission. Some measures should be taken both from reducing carbon emission and increasing carbon absorption.  相似文献   

7.
Accurate and detailed accounting of energy-induced carbon dioxide(CO2) emissions is crucial to the evaluation of pressures on natural resources and the environment, as well as to the assignment of responsibility for emission reductions. However, previous emission inventories were usually production- or consumption-based accounting, and few studies have comprehensively documented the linkages among socio-economic activities and external transaction in urban areas. Therefore, we address this gap in proposing an analytical framework and accounting system with three dimensions of boundaries to comprehensively assess urban energy use and related CO2 emissions. The analytical framework depicted the input, transformation, transfer and discharge process of the carbon-based(fossil) energy flows through the complex urban ecosystems, and defined the accounting scopes and boundaries on the strength of ‘carbon footprint' and ‘urban metabolism'. The accounting system highlighted the assessment for the transfer and discharge of socio-economic subsystems with different spatial boundaries. Three kinds methods applied to Beijing City explicitly exhibited the accounting characteristics. Our research firstly suggests that urban carbon-based energy metabolism can be used to analyze the process and structure of urban energy consumption and CO2 emissions. Secondly, three kinds of accounting methods use different benchmarks to estimate urban energy use and CO2 emissions with their distinct strength and weakness. Thirdly, the empirical analysis in Beijing City demonstrate that the three kinds of methods are complementary and give different insights to discuss urban energy-induced CO2 emissions reduction. We deduce a conclusion that carbon reductions responsibility can be assigned in the light of production, consumption and shared responsibility based principles. Overall, from perspective of the industrial and energy restructuring and the residential lifestyle changes, our results shed new light on the analysis on the evolutionary mechanism and pattern of urban energy-induced CO2 emissions with the combination of three kinds of methods. And the spatial structure adjustment and technical progress provides further elements for consideration about the scenarios of change in urban energy use and CO2 emissions.  相似文献   

8.
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.  相似文献   

9.
Impacts of climatic change on agriculture and adaptation are of key concern of scientific research. However, vast uncertainties exist among global climates model output, emission scenarios, scale transformation and crop model parameterization. In order to reduce these uncertainties, we integrate output results of four IPCC emission scenarios of A1FI, A2, B1 and B2, and five global climatic patterns of HadCM3, PCM, CGCM2, CSIRO2 and ECHAM4 in this study. Based on 20 databases of future climatic change scenarios from the Climatic Research Unit (CRU) , the scenario data of the climatic daily median values are generated on research sites with the global mean temperature increase of 1 ℃(GMT+1D), 2 ℃ (GMT+2D) and 3 ℃(GMT+3D). The impact of CO2 fertilization effect on wheat biomass for GMT+1D, GMT+2D and GMT+3D in China’s wheat-producing areas is studied in the process model, CERES-Wheat and probabilistic forecasting method. The research results show the CO2 fertilization effect can compensate reduction of wheat biomass with warming temperature in a strong compensating effect. Under the CO2 fertilization effect, the rain-fed and irrigated wheat biomasses increase respectively, and the increment of biomass goes up with temperature rising. The rain-fed wheat biomass increase is greater than the irrigated wheat biomass. Without consideration of CO2 fertilization effect, both irrigated and rain-fed wheat biomasses reduce, and there is a higher probability for the irrigated wheat biomass than that of the rain-fed wheat biomass.  相似文献   

10.
Annual freezing and thawing index of 7 meteorological stations along the Qing-hai-Xizang Railway were calculated based on daily maximum and minimum temperature records for 1966?2004. Trends of annual freezing and thawing index were analyzed using the Mann-Kendall test and a simple linear regression method. The results show that: 1) The mean annual freezing indices range from 95 to 2300℃·d and the mean annual thawing indi-ces range from 630 to 3250℃·d. The mean annual freezing index of the 7 stations exhibited decreasing trends with decreasing rate of ?16.6– ?59.1℃·d /10a. The mean annual thawing index of these 7 stations showed increasing trends with the related decreasing rate is 19.83–45.6℃·d /10a. 2) The MK trend test indicated the significant decreasing trends (sig-nificant at < 0.05 significant level) in the annual freezing index for most stations except for Golmud. The significant increasing trends can be observed in the annual thawing index for 4 stations except Golmud and Tuotuohe. Golmud was the only station with no trends in both annual freezing and annual thawing index.  相似文献   

11.
Potentilla fruticosa scrub, Kobresia humilis meadow and Kobresia tibetica meadow are widely distributed on the Qinghai-Tibet Plateau. During the grass exuberance period from 3 July to 4 September, based on close chamber-GC method, a study on CO2 emissions from different treatments was conducted in these meadows at Haibei research station, CAS. Results indicated that mean CO2 emission rates from various treatments were 672.09±152.37 mgm-2h-1 for FC (grass treatment); 425.41±191.99 mgm-2h-1 for FJ (grass exclusion treatment); 280.36±174.83 mgm-2h-1 for FL (grass and roots exclusion treatment); 838.95±237.02 mgm-2h-1 for GG (scrub+grass treatment); 528.48±205.67 mgm-2h-1 for GC (grass treatment); 268.97±99.72 mgm-2h-1 for GL (grass and roots exclusion treatment); and 659.20±94.83 mgm-2h-1 for LC (grass treatment), respectively (FC, FJ, FL, GG, GC, GL, LC were the Chinese abbreviation for various treatments). Furthermore, Kobresia humilis meadow, Potentilla fruticosa scrub meadow and Kobresia tibetica meadow differed greatly in average CO2 emission rate of soil-plant system, in the order of GG>FC>LC>GC. Moreover, in Kobresia humilis meadow, heterotrophic and autotrophic respiration accounted for 42% and 58% of the total respiration of soil-plant system respectively, whereas, in Potentilla fruticosa scrub meadow, heterotrophic and autotrophic respiration accounted for 32% and 68% of total system respiration from GG; 49% and 51% from GC. In addition, root respiration from Kobresia humilis meadow approximated 145 mgCO2m-2h-1, contributed 34% to soil respiration. During the experiment period, Kobresia humilis meadow and Potentilla fruticosa scrub meadow had a net carbon fixation of 111.11 gm-2 and 243.89 gm-2, respectively. Results also showed that soil temperature was the main factor which influenced CO2 emission from alpine meadow ecosystem, significant correlations were found between soil temperature at 5 cm depth and CO2 emission from GG, GC, FC and FJ treatments. In addition, soil moisture may be the inhibitory factor of CO2 emission from Kobresia tibetica meadow, and more detailed analyses should be done in further research.  相似文献   

12.
Potentilla fruticosa scrub,Kobresia humilis meadow andKobresia tibetica meadow are widely distributed on the Qinghai-Tibet Plateau. During the grass exuberance period from 3 July to 4 September, based on close chamber-GC method, a study on CO2 emissions from different treatments was conducted in these meadows at Haibei research station, CAS. Results indicated that mean CO2 emission rates from various treatments were 672.09±152.37 mgm-2h-1 for FC (grass treatment); 425.41± 191.99 mgm-2h-1 for FJ (grass exclusion treatment); 280.36±174.83 mgm-2h-1 for FL (grass and roots exclusion treatment); 838.95±237.02 mgm-2h-1 for GG (scrub+grass treatment); 528.48±205.67 mgm-2h-1 for GC (grass treatment); 268.97±99.72 mgm-2h-1 for GL (grass and roots exclusion treatment); and 659.20±94.83 mgm-2h-1 for LC (grass treatment), respectively (FC, FJ, FL, GG, GC, GL, LC were the Chinese abbreviation for various treatments). Furthermore,Kobresia humilis meadow,Potentilla fruticosa scrub meadow andKobresia tibetica meadow differed greatly in average CO2 emission rate of soil-plant system, in the order of GG>FC>LC>GC. Moreover, inKobresia humilis meadow, heterotrophic and autotrophic respiration accounted for 42% and 58% of the total respiration of soil-plant system respectively, whereas, inPotentilla fruticosa scrub meadow, heterotrophic and autotrophic respiration accounted for 32% and 68% of total system respiration from GG; 49% and 51% from GC. In addition, root respiration fromKobresia humilis meadow approximated 145 mgCO2m-2h-1, contributed 34% to soil respiration. During the experiment period,Kobresia humilis meadow andPotentilla fruticosa scrub meadow had a net carbon fixation of 111.11 gm-2 and 243.89 gm-2, respectively. Results also showed that soil temperature was the main factor which influenced CO2 emission from alpine meadow ecosystem, significant correlations were found between soil temperature at 5 cm depth and emission from GG, GC, FC and FJ treatments. In addition, soil moisture may be the inhibitory factor of CO2 emission fromKobresia tibetica meadow, and more detailed analyses should be done in further research.  相似文献   

13.
青海海北高寒草甸五种植被生物量及环境条件比较   总被引：11，自引：4，他引：11  
分析了高寒草甸不同植被类型植物种类组成、生物量变化规律及其差异。研究表明不同植被类型的分布与土壤湿度和温度有很大的关系。藏篙草草甸、金露梅灌丛草甸、矮篙草草甸、正恢复的矮篙草草甸、小嵩草草甸这5种不同植被类型所对应的土壤湿度依次降低，而所对应的土壤温度依次升高；植物种类数量表现为矮嵩草草甸＞金露梅灌丛草甸＞小篙草草甸＞正恢复的矮篙草草甸＞藏篙草草甸。地上生物量高低依次为小嵩草革甸＞矮嵩草草甸＞金露梅灌丛草甸＞正恢复的矮篙草草甸＞藏篙草草甸；地下生物量则表现出金露梅灌丛革甸＞矮嵩草甸＞小篙草草甸＞正恢复的矮篙草草甸的特征，而其在年内的周转值表现出金露梅灌丛草甸＞正承复的矮嵩草草甸＞小篙草草甸＞矮篙草草甸;土壤有机质的季节变化表现为0—40cn整层土壤有机质含量小嵩草草甸＞金露梅灌丛草甸＞矮嵩草草甸＞正恢复的矮篙草草甸，0—10cm的表层土壤有机质金露梅灌丛草甸＞矮嵩草草甸＞小嵩草草甸＞正恢复的矮篙草草甸。  相似文献   

14.
金露梅灌丛草甸氧化亚氮排放特征及冻融交替的影响研究   总被引：4，自引：0，他引：4  
在中国科学院海北高寒草甸生态系统定位研究站地区,利用密闭箱-气相色谱法对金露梅灌丛草甸群落中的丛间草地(GC)、金露梅灌丛(GG)和裸地(GL)3种斑块的氧化亚氮(N_2O)排放季节特征和冻融过程、降水事件的影响进行了初步研究.结果显示:GG年平均排放速率显著高于C.C和GL(P＜0.05),C.C与GL差异不显著(P＞0.05).3种斑块N_2O排放速率表现出明显的季节波动,生长季高于休眠季,其中GC和GG排放速率在8月出现明显峰值,2月最低;而GL的排放速率2004年最大值出现在3月,2005年在3月和8月出现了两个峰值,最低值均出现在1月.冻融交替过程中各斑块N_2O平均排放速率白天高于夜间,并且除了2005年GL斑块外,均为封冻期土壤排放速率较低,而冻融期提高.2004-07 GC和GG斑块在降雨时排放速率降低,降雨后迅速上升;而2005年时3种斑块在降雨时以及积雪融化时排放速率均大幅升高.各斑块排放速率与土壤5 cm地温呈极显著(GC和GG;P＜0.01)或显著正相关关系(GL,P＜0. 05).金露梅灌丛草甸2004年和2005年平均排放速率分别为0.043和0.046 mg/(m~2·h),是大气N_2O的一个源,粗略估算整个青藏高原高寒灌丛草甸N_2O排放的辐射强迫约为0.125 Tg CO_2,其在整个青藏高原温室气体收支中的作用不应忽略.  相似文献   

15.
对海北定位站分布的金露梅灌丛草甸、矮嵩草草甸、藏嵩草沼泽化草甸3种高寒植被类型群落结构、感热(H)和潜热(LE)通量比较观测表明,3种植被类型年地上净初级生产力表现出矮嵩草草甸(318.600g/m2)>藏嵩草沼泽化草甸(258.341g/m2)>金露梅灌丛草甸(217.695g/m2)。植物种类组成有矮嵩草草甸(54种)>金露梅灌丛草甸(47种)>沼泽草甸(24种)。3种植被类型区近地表大气能量交换过程中,LE和H的月际变化明显,而且随植被类型的不同月际变化差异显著。3种不同植被类型在年内均表现出H LE>0,表明在青海海北高寒草甸地区,太阳辐射强烈,近地层湍流输送明显,地表为一热源。3类型高寒草甸植被的年地上净生产量基本与波文比(β)呈现正效应,与LE H呈现明显的反效应。植物种类组成基本与LE H有反效应,与β呈明显的正效应。  相似文献   

16.
陈雪娇  周伟  杨晗 《干旱区地理》2020,43(6):1583-1592
碳源/汇是解释地球大气碳循环过程的重要指标，探究三江源的碳源/汇特征对于理解该地 区植被对全球气候变化的响应具有重要意义。三江源以脆弱的草地生态系统为主，且对全球气候 变化非常敏感。该地区生态环境极其脆弱，大部分地区条件恶劣导致实测数据稀缺，很难对该地 区的碳源/汇时空格局进行完整剖析。因此通过以三江源 5 种典型草地群落（金露梅、紫花针茅、风 毛菊、小蒿草、及青藏薹草群落）为研究对象，基于 BIOME-BGC 模型，利用地理数据、气象数据和植 被生理参数等数据，得出 2001—2017 年三江源草地群落的净初级生产力（NPP）、净生态系统生产 力（NEP）模拟值，并对草地群落 NPP、NEP 变化特征与气温、降水相关性以及碳利用效率变化等特 征进行了综合分析。结果表明：三江源区 NPP、NEP 在空间格局上，表现为由东南向西北数值逐渐 递减趋势；5 种典型草地群落多年 NPP 均呈现逐年增高趋势，其平均值为 196.06 g C·m -2·a -1。其 中，金露梅群落 NPP 平均值最高为 342.00 g C·m-2·a-1，青藏薹草群落 NPP 平均值最低为 55.93g C·m-2·a-1；5 种草地群落 NEP 的多年平均值为 49.02 g C·m-2·a-1，金露梅、紫花针茅及青藏薹草 3 种植 被群落的 NEP 值呈缓慢的上升趋势，风毛菊和小蒿草群落呈缓慢下降趋势。研究发现三江源草地 生态系统具有显著的碳汇作用，且不同群落 NPP、NEP 对气温和降水的响应程度有所差异，5 种群 落 NPP 与气温均呈显著正相关，但 NPP、NEP 与降水量的相关性较低；5 种群落均具有较强固碳潜 力，除金露梅外其余植被群落的碳利用率均在 0.625 以上。  相似文献   

17.
高寒植被类型及其植物生产力的监测   总被引：31，自引：1，他引：30  
监测并分析了高寒草甸二种不同植被类型的生态环境条件、植物种类组成、生物量变化规律及其差异。研究表明：距离相近且海拔高度基本相同的矮蒿草草甸和金露梅灌丛草甸二种群落内部,由于受地形部位影响,虽然降水基本相同,但地表受热及蒸发量不同,土壤湿度存在明显差异。受上述环境条件特别是受土壤温湿度条件的限制,二种群落内的植物种类不同,地下、地上生物量的变化也不同,一般在山地阴坡主要分布着以金露梅灌丛为优势种外,多以线叶蒿草、小蒿草、羊茅、及其它杂草类为伴生种的金露梅灌丛草甸植被类型,而主要分布于滩地的矮蒿草草甸多以垂穗披碱草等植物为伴生种的湿中性植被类型,属典型的高寒草甸植被类型。生物量监测结果的比较分析表明,群落的地上生物量为：矮蒿草草甸 > 金露梅灌丛草甸;地下生物量随植被类型的不同,其峰值与谷值出现时间不一致。年内地下净生产量为：金露梅灌丛草甸 > 矮蒿草草甸。地下生产量周转值为：矮蒿草草甸 > 金露梅灌丛草甸。  相似文献   

18.
 采用开路式自动土壤碳通量测量系统（LI-8100）测定了准噶尔盆地荒漠梭梭群落生长季的土壤呼吸速率,并分析了温度和土壤水分对土壤呼吸的影响,结果表明:土壤CO2释放速率有明显的日变化和季节动态,日最大排放速率出现在13:00—15:00时,最小排放速率在8:00时。土壤CO2释放速率日变幅最大值为0.90 μmol·m-2·s-1、最小值为0.24 μmol·m-2·s-1、平均速率是(0.548±0.076)μmol·m-2·s-1;土壤呼吸作用在生长季中的动态呈单峰曲线,顺序为6月＞7月＞8月＞9月＞5月＞10月。相关性分析表明,土壤呼吸速率与气温、地表温度和5 cm、10 cm、15 cm、20 cm、25 cm、30 cm、35 cm、40 cm、50 cm层土壤温度呈极显著和显著正相关关系,土壤呼吸速率与地表温度间的线性关系为Y=0.017X+0.033,（R2=0.566, P<0.001）,并得出Q10值为1.65。土壤含水量与土壤呼吸速率间的相关性不显著。  相似文献   

19.
青海高寒草甸退化演替中的植被指数   总被引：2，自引：0，他引：2  
随着气候变化和人为活动干扰,高寒草甸退化已成为青藏高原严重的生态环境问题,精准识别其退化程度并制定相应恢复策略,对实现高寒草甸可持续发展具有重要意义。目前,低空间分辨率MODIS数据为草地遥感监测的主要数据源,但难以满足景观破碎度或异质性较强地区的应用。本研究基于野外调查资料,利用多源遥感数据（MODIS、Landsat、Sentinel-2）研究不同空间分辨率归一化植被指数（NDVI）对高寒草甸退化演替的响应,为准确评估青藏高原高寒草甸退化程度提供依据。结果表明：（1）随着高寒草甸退化,植被群落优势种演化趋势为禾草—矮嵩草—小嵩草—杂草群落;植被高度和生物量先快速下降,然后缓慢下降或趋于稳定,植被覆盖度和NDVI的变化呈相反特征。（2）随着湿地草甸旱化,植被群落优势种从藏嵩草演变为矮嵩草或小嵩草,湿地旱化初期植被高度、生物量和覆盖度平均值略低于原生湿地,NDVI略大于原生湿地,差异不显著。（3）植被高度、覆盖度和生物量与Sentinel-2或Landsat的NDVI相关性均优于MODIS,说明Sentinel-2和Landsat的NDVI对高寒草甸退化演替过程更加敏感,采用该数据能更准确评估高寒草甸退化程度。  相似文献   

20.
雅鲁藏布江源头区的植被及其地理分布特征   总被引：5，自引：1，他引：4  
雅鲁藏布江源头区是国家级重要生态功能区,该区域自然背景资料极为缺乏。2002—06和2002—11,结合遥感影像数据,对源头区主要河谷典型地理环境位点植被进行了2次地面踏勘。结果表明：源头区主要植被类型有高寒草原、高寒草甸、高寒灌丛以及高寒垫状植物和流石坡植物。高寒草原类型主要有紫花针茅(Stipa pur purea)草原、青藏苔草(Carex moorcroftii)草原、固沙草(Orinus thoroldii)草原、藏白蒿(Artemisia younghusbandii)草原、藏沙蒿(Artemisia weiibyi)草原。高寒草甸主要类型有高山嵩草(Kobresia pygmaea)草甸、藏北嵩草(Kobresia littledalei)、三角草(Trikeraia hookeri)草甸。高寒灌丛的主要建群种有小叶金露梅(Potentilla parvifolia)、金露梅(Potentilla fruticosa)和变色锦鸡儿(Caragana versicolor)。在雪线附近有由多种高寒植物组成的垫状植物群落和流石坡稀疏植物。对群落的物种组成,分布区的土壤、水分等生态要素以及植被地理格局进行了概括性描述。  相似文献   

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