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| 1 | Comparative study of the net exchange of CO_(2) in 3 types of vegetation ecosystems on the Qinghai-Tibetan Plateau显示文摘Using the eddy covariance method,from 1 July2003 to 30 June 2004, we conducted the observation andanalysis of ecosystem CO2 flux in 3 types of alpine meadowvegetation (Kobresia humilis, Potentilla fruticosa shrub andKobresia tibetica swamp meadows) on the Qinghai-TibetanPlateau. The results show that the Kobresia humilis meadow,the shrub meadow and the swamp meadow’s highest CO2uptake rates are 16.78, 10.42 and 16.57 μmol·m?2·s?1respectively, while their highest CO2 release rates are 8.22,7.73 and 18.67 μmol·m?2·s?1 respectively. The Kobresiahumilis meadow and shrub meadow’s annual atmosphericuptakes are 282 g CO2/m2 and 53 g CO2/m2, respectively,while swamp meadow’s annual atmospheric release is 478 gCO2/m2. This proves that the Kobresia humilis meadow andthe shrub meadow on the Qinghai-Tibetan Plateau haverelatively low potential for CO2 uptake and release comparedto C4 grasslands, a number of lowland grasslands, andforests. Moreover, swamp meadow has relatively high releasepotential. This, in turn, reveals clear differences in carbonsource/sink between different types of vegetation in theQinghai-Tibetan Plateau alpine meadow ecosystem. Thesedifferences are mainly brought by differences in thevegetations’ photosynthetic capacity and soil respiration. | ZHAO Liang LI Yingnian ZHAO Xinquan XU Shixiao TANG Yanhong YU Guirui GU Song DU Mingyuan WANG Qinxue | 2005 | Chinese Science Bulletin2005，50，16： | 34 |
| 2 | Characterizing CO_2 fluxes for growing and non-growing seasons in a shrub ecosystem on the Qinghai-Tibet Plateau显示文摘To assess carbon budget for shrub ecosystems on the Qinghai-Tibet Plateau, CO2flux was measured with an open-path eddy covariance system for an alpine shrub ecosystem during growing and non-growing seasons. CO2 flux dynamics was distinct between the two seasons. During the growing season from May to September, the ecosystem exhibited net CO2uptake from 08:00 to 19:00 (Beijing Standard Time), but net CO2 emission from 19:00 to 08:00.Maximum CO2 uptake appeared around 12:00 with values of 0.71, 1.19, 1.46 and 0.67 g CO2m-2 h-1 for June, July, August and September, respectively. Diurnal fluctuation of CO2 flux showed higher correlation with photosynthetic photon flux density than temperature. The maximum net CO2 influx occurred in August with a value of 247 g CO2 m-2. The total CO2 uptake by the ecosystem was up to 583 g CO2 m-2 for the growing season. During the non-growing season from January to April and from October to December, CO2 flux showed small fluctuation with the largest net CO2 efflux of 0.30 g CO2 m-2 h-1 in April. The diurnal CO2 flux was close to zero during most time of the day, but showed a small net CO2 efflux from 11:00 to 18:00. Diurnal CO2 flux, is significantly correlated to diurnal temperature in the non-growing season. The maximum monthly net CO2 efflux appeared in April, with a value of 105 g CO2 m-2. The total net CO2 efflux for the whole non-growing season was 356 g CO2 m-2. | XU Shixiao, ZHAO Xinquan, FU Yuling, ZHAO Liang, LI Yingnian, CAO Guangmin, GU Song, WANG Qinxue & DU Mingyuan Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China Graduate School of the Chinese Academy of Sciences, Beijing 100136, China National Institute for Environmental Studies, Tsukuba 305-8569, Japan National Institute for Agro-Environmental Science, Tsukuba 305-8604, Japan | 2005 | Science China Earth Sciences2005，48，z1： | 12 |
| 3 | Research and Practice in Three-Dimensional City Modeling显示文摘我们与空间数据交往的方法从 2D 地图被改变了到 3D 虚拟地理环境(VGE ) 。当 VGE,和特别地 3D 城市模型提供一个有效方法在城市的区域集成巨大的、异质的 geospatial 信息和 georeferenced 信息,一台计算机上的地理信息的三维的代表被知道。(3DCM ) 3D 城市建模是在不同申请区域的一个活跃研究和实践话题。这篇论文介绍在 3D GIS,虚拟环境,和 AEC/FM 采用的不同当模特儿的范例。新 3DCM 技术正在演变为数据集成和合作途径代表一个城市的完整的空间范围,到未葬、地下的模型,室外、室内的环境包括人造有 3D 几何学,外观,拓扑学和语义的目标和自然特征。 | ZHU Qing | 2009 | Geo-Spatial Information Science2009，12，1： | 10 |
| 4 | Altitudinal variation of ecosystem CO_(2) fluxes in an alpine grassland from 3600 to 4200 m显示文摘Aims Recent studies have recognized the alpine grasslands on the Qinghai-Tibetan plateau as a significant sink for atmospheric CO_(2).The carbon-sink strength may differ among grassland ecosystems at various altitudes because of contrasting biotic and physical environments.This study aims(i)to clarify the altitudinal pattern of ecosystem CO_(2) fluxes,including gross primary production(GPP),daytime ecosystem respiration(Redaytime)and net ecosystem production(NEP),during the period with peak above-ground biomass;and(ii)to elucidate the effects of biotic and abiotic factors on the altitudinal variation of ecosystem CO_(2) fluxes.Methods Ecosystem CO_(2) fluxes and abiotic and biotic environmental factors were measured in an alpine grassland at four altitudes from 3600 to 4200 m along a slope of the Qilian Mountains on the northwestern Qinghai-Tibetan Plateau during the growing season of 2007.We used a closed-chamber method combined with shade screens and an opaque cloth to measure several carbon fluxes,GPP,Redaytime and NEP,and factors,light-response curve for GPP and temperature sensitivity of Redaytime.Above-and below-ground biomasses and soil C and N contents at each measurement point were also measured.Important Findings(i)Altitudinal pattern of ecosystem CO_(2) fluxes:The maximum net ecosystem CO_(2) flux(NEPmax),i.e.the potential ecosystem CO_(2) sink strength,was markedly different among the four altitudes.NEPmax was higher at the highest and lowest sites,ap proximately7.460.9 and6.760.6 lmol CO_(2) m^(-2)s^(-1)(mean 6 standard error),respectively,but smaller at the intermediate altitude sites(3800 and 4000 m).The altitudinal pattern of maximum gross primary production was similar to that of NEPmax.The Redaytime,however,was significantly higher at the lowest altitude(3.460.3 lmol CO_(2) m^(-2)s^(-1))than at the other three altitudes.(ii)Altitudinal variation of vegetation biomass:The aboveground biomass was higher at the highest altitude(154627 g DW m2)than at the other altitudes,which we attribute mainly to the large biomass in cushion plants at the highest altitude.The small above-ground biomass at the lower altitudes was probably due to heavy grazing during the growing season.(iii)Features of ecosystem CO_(2) fluxes:Redaytime and GPP were positively correlated with above-ground biomass.The low ratio of Redaytime to GPP at either the measurement point or the site level suggests that CO_(2) uptake efficiency tends to be higher at higher altitudes,which indicates a high potential sink strength for atmospheric CO_(2) despite the low temperature at high altitudes.The results suggest that the effect of grazing intensity on ecosystem carbon dynamics,partly by decreasing vegetation biomass,should be clarified further. | Mitsuru Hirota Pengcheng Zhang Song Gu Mingyuan Du Ayako Shimono Haihua Shen Yingnian Li Yanhong Tang | 2009 | Journal of Plant Ecology2009，2，4： | 6 |
| 5 | Causes for the unimodal pattern of biomass and productivity in alpine grasslands along a large altitudinal gradient in semi‐arid regions显示文摘 | Zhong Wang Tianxiang Luo Ruicheng Li Yanhong Tang Mingyuan Du | 2012 | J Veg Sci2012，，1： | 1 |
| 6 | Climate change and agricultural activities in the Taklimakan Desert, China in recent years显示文摘 | DU MINGYUAN Y-OSHION M FUJITA Y | 1996 | Journal of Arid Land Studies1996，5，： | 1 |
| 7 | Mutual influence between human activities and climate change in the Tibetan Plateau during recent years显示文摘 | Mingyuan Du Shigeto Kawashima Seiichiro Yonemura Xianzhou Zhang Shenbin Chen | 2004 | Global and Planetary Change2004，，3： | 1 |
| 8 | Mutual influence between human activities and climate change in the Tibetan Plateau during recent years显示文摘 | Du Mingyuan Shigeto Kawashima Seiichiro Yonemura | 2004 | Global and Planetary Change2004，41，34： | 1 |
| 9 | Quantitative model of soil erosion rates using ^137 Cs for uncultivateds oil 显示文摘 | Yang Hao Chang Qing Du Mingyuan MinamiK Hatta T | 1998 | Soll Science1998，163，3： | 1 |
| 10 | Quantitative model of soil erosion rates using 137Cs for uncultivated soil显示文摘 | Yang Hao Chang Qing Du Mingyuan MinamiK Hatta T | | 0，，： | 1 |
| 11 | Flux andcomposition of wind-eroded dust from different landscapes of an arid inland river basin in north-western china显示文摘 | Wang Genxu Quan Tuowan Du Mingyuan | 2004 | Journal of Arid Environment2004，58，： | 1 |
| 12 | Soil redistribution investigation by combined use of soil ^137Cs and selected chemical properties显示文摘 | Xiangyu Tang Hao Yang Mingyuan Du Qiguo Zhao | 2003 | soil Sci Plant Nutri2003，49，4： | 1 |
| 13 | Species richness and species composition of fungal communities associated with cellulose decomposition at different altitudes on the Tibetan Plateau显示文摘Aims The aims of this study were to compare the fungal communities developing on cotton strips at three different altitudes on the Tibetan Plateau and to assess the environmental variables influencing them.Methods Cotton strips that had been buried in soil for a year were sampled at three sites at different altitudes(4500,4950 and 5200 m)located on a southeast-facing slope on the Nyainqentanglha Mountains near Damxung.The fungi on the cotton strips were isolated using a modified washing method.The decomposition abilities and colony growth properties of the major species cultured in pure-culture conditions were investigated and compared.Canonical correspondence analysis(CCA)was used to evaluate the relationships between fungal community composition and environmental variables(altitude,soil depth,soil water content[SWC],plant root mass and gravel content).Important Findings A total of 24 species were isolated from the cotton strips,and 12 species occurred frequently and were regarded as major species.The number of fungal species was lower at the 4950-m altitude site than at the other two sites,indicating that not only altitude but also other factors affected the number of species present.All of the major species were able to decompose the cotton strips.In the CCA ordination,automatic forward selection revealed that altitude,SWC and plant root mass significantly affected fungal species composition.Our results suggest thatspecies numberandthecomposition ofcellulolytic fungal communities are highly correlated with environmental variables as well as altitude in the alpine meadow on the Tibetan Plateau. | Dai Hirose Takashi Shirouzu Mitsuru Hirota Toshiyuki Ohtsuka Yukiko Senga Mingyuan Du Ayako Shimono Xianzhou Zhang | 2009 | Journal of Plant Ecology2009，2，4： | 1 |
| 14 | The clinical outcomes of late preterm infants: a multi-center survey of Zhejiang, China显示文摘 | Xiaolu Ma Chunxiang Huang Shouzeng Lou Qin Lv Weidong Su Jiarong Tan Youcheng Wang Xinxin Wang Mingyuan Wu Ting Xu Manli Zhuang Lizhong Du the Provincial Collaborative Study Group for Late-preterm Infants | 2009 | Journal of Perinatal Medicine2009，，6： | 1 |
| 15 | Flux and composition of wind-eroded dust from different landscapes of an arid inland river basin in north-western china显示文摘 | Wang-Genxu Cuan Tuowan Du Mingyuan | 2004 | Journal of Arid Environment2004，58，： | 1 |
| 16 | 137Cs DEPTH DISTRIBUTION IN HAPLIC-UDIC FERROSOLS OF SOUTHERN CHINA AND ITS IMPLICATION FOR SOIL EROSION显示文摘 | Xiangyu Tang Hao Yang Qiguo Zhao Renying Li Mingyuan Du | 2002 | Soil Science2002，，2： | 1 |
| 17 | Flux and composition of wind-eroded dust from different landscapes of an arid inland river basin in north-western China显示文摘 | Wang Genxu Tuo Wanquan Du Mingyuan | 2004 | Journal of Arid Environments2004，58，： | 1 |
| 18 | Quantitative model of soil erosion rates using ^137Cs for uncultivated soil 显示文摘 | Yang Hao Chang Qing Du Mingyuan MinamiK Hatta T | 1998 | Soil Science1998，163，3： | 1 |
| 19 | Flux and composition of wind-eroded dust from different landscapes of an arid inland river basin in north-western China 显示文摘 | Wang Genxu Tuo Wanquan Du Mingyuan | 2004 | J Arid Environ2004，58，3： | 1 |
| 20 | Quantitative modelof soil erosion rates using 137Cs for uncultivated soil显示文摘 | Yang Hao Chang Qing Du Mingyuan | 1998 | Soil Sci-ence1998，163，3： | 1 |
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