Response of Microbial Communities in Soil to Multi-level Warming in a Highland Barley System of the Lhasa River

No studies have examined the effect of experimental warming on the microbial biomass and community composition of soil in agricultural ecosystem on the Qinghai-Tibet Plateau. Thus it is unclear whether the influences of experimental warming on microbial communities in soil are related to warming magnitude in croplands on this Plateau. This study performed warming experiment (control, low- and high-level) in a highland barley system of the Lhasa River in May 2014 to examine the correlation between the response of microbial communities in soil to warming and warming magnitude. Topsoil samples (0-10 and 10-20 cm) were collected on September 14, 2014. Experimental warming at both low and high levels significantly increased soil temperature by 1.02 ℃ and 1.59 ℃, respectively at the depth of 15 cm. Phospho lipid fatty acid (PLFA) method was used to determine the microbial community in soil. The low-level experimental warming did not significantly affect the soil’s total PLFA, fungi, bacteria, arbuscular mycorrhizal fungi (AMF), actinomycetes, gram-positive bacteria (G⁺), gram-negative bacteria (G^-), protozoa, the ratio of fungi to bacteria (F/B ratio), and ratio of G⁺ to G^- (G⁺/G^- ratio) at the 0-10 and 10-20 cm depth. The low-level experimental warming also did not significantly alter the composition of microbial community in soil at the 0-10 and 10-20 cm depth. The high-level experimental warming significantly increased total PLFA by 74.4%, fungi by 78.0%, bacteria by 74.0%, AMF by 66.9%, actinomycetes by 81.4%, G⁺ by 67.0% and G^- by 74.4% at the 0-10 cm depth rather than at 10-20 cm depth. The high-level experimental warming significantly altered microbial community composition in soil at the 0-10 cm depth rather than at 10-20 cm depth. Our findings suggest that the response of microbial communities in soil to warming varied with warming magnitudes in the highland barley system of the Lhasa River.     

指导工程测量竞赛经验探讨

技能竞赛的蓬勃发展为加强技能人才培养、选拔和促进优秀人才脱颖而出发挥了重要作用。通过对全国和北京市测绘地理信息行业职业技能竞赛工程测量赛项设置、技术要求、竞赛特点的归纳分析,从参赛队员的选拔、竞赛训练方案、技战术、比赛注意事项等方面对竞赛工作进行探讨,为今后的备赛以及参赛提供借鉴。     

Application and comparison of two symptom-based eutrophication-assessment methods in Jiaozhou Bay,China

Increasing numbers of approaches to assess eutrophication, such as estuarine trophic status, the Oslo-Paris Commission Common Procedure, and the Water Framework Directive, focus on the symptoms of eutrophication. In China, however, nutrient index methods dominate the assessment of coastal waters. In this study, an integrated method that includes both water quality and ecological response was compared with the Northwest Pacifi c Action Plan (NOWPAP) Common Procedure. Observation data from Jiaozhou Bay, Shandong, China, were used in a comparison of the two methods in a trophic status study. Overall, both clearly revealed a high level of nutrient enrichment in the bay, indicated by high nutrient concentrations. Though the two methods diff ered in their methodological design in the assessment of the ecological eff ects of nutrient enrichment, they have acquired similar results: the integrated method suggested that the status was good, and the NOWPAP Common Procedure suggested that the status was low (indicating that the bay had no serious eutrophication problem). The introduction of fi lter feeders (shellfi sh aquaculture) into the bay on a reasonable scale may have been eff ective in mitigating eutrophic conditions, and perhaps explains the low ecological impacts there. Our results will be useful to ecosystem-based eutrophication management in the bay and in similar areas.     

固体潮观测数据预处理中的常用方法及计算机实现

从地震台站产出的原始地形变前兆数据出发,提出实际操作性较强的预处理方法,从已编制好的软件中给出处理实例,从而提高地震台站观测人员的科研能力,填补资料预处理方面的某些空白,对于地震台站人员集观测、科研于一体有着十分重要的意义。从95-01-02项目厦门地震台前兆数据预处理的实践表明:这些方法取得了明显的实效,直到今天仍然具有很大的使用价值。     

野外科学观测研究台站（网络）和科学数据中心建设发展

中国科学院地理科学与资源研究所成立80年来,十分重视野外台站（网络）和科学数据中心的建设,取得了辉煌成就。研究所建立了4个野外观测研究网络,引领了中国生态系统研究网络的建设与发展;成立了2个国家级科学数据中心,1个中国科学院数据中心,1个数据出版系统并于2016年加入了世界数据系统;拥有2个国家级野外观测研究站,1个中国科学院野外研究站,形成了独具特色的野外观测研究平台和数据共享服务平台。本文回顾了中国生态系统研究网络、国家生态系统观测研究网络、中国通量观测研究网络、中国物候观测网和禹城站、拉萨站、千烟洲站以及地球系统科学数据中心、生态科学数据中心、资源环境科学数据中心和全球变化科学研究数据出版系统的发展历程。地理资源所台站（网络）从无到有,不断发展壮大,引领了中国野外观测研究事业的发展,支撑了地理学、生态学等重要科学成果产出,科技支撑能力和示范能力大幅提升,有力支撑了华北平原、青藏高原以及南方山地丘陵区的生态文明建设;成为中国地球系统科学、野外台站、资源环境等学科和领域最大的科学数据汇聚中心,数据共享服务成效显著,在国内外具有广泛影响力。在未来发展中,地理资源所将充分发挥野外台站（网络）综合中心作用,强化生态系统、碳水通量、物候等观测研究网络的能力建设,稳步提升野外观测研究站条件保障能力和科学数据中心的数据汇聚能力、分析挖掘能力以及共享服务能力,持续推动和引领中国科学数据的共享,在科学研究和支撑国家需求等方面做出更大贡献。     

自然资源综合考察与资源科学综合研究

中华人民共和国成立以来,中国的资源科学研究在自然资源考察的基础上形成了一门综合性的学科体系。本文系统总结中国资源科学从自然资源综合考察到资源科学综合研究的发展历程,大致可划分为自然资源综合考察初期（20世纪50—60年代）、区域资源综合科学考察与资源科学研究时期（20世纪70—80年代）、资源科学学科体系的形成与发展时期（20世纪90年代—2000年）及现代资源科学迈向新发展时期（21世纪以来）等4个阶段,促进了中国自然资源的考察和开发利用事业不断向前发展,对中国资源科学形成与发展影响深远。当下面向生态文明建设和美丽中国建设两个国家先进发展需求,资源科学研究要以史为鉴,推陈出新,不断丰富学科的新概念、新知识与新方法,促进资源科学的蓬勃发展。     

乌兰布和沙漠东北缘地温变化特征及其影响因子

基于内蒙古磴口荒漠生态系统国家定位观测研究站监测数据,分析2014年1—12月不同土层的地温数据及同期气象数据,进而阐明乌兰布和沙漠东北缘地温变化特征。结果表明：（1）乌兰布和沙漠地温及气温具有显著的日变化特征,气温最高值与最低值出现时刻相对巴丹吉林沙漠提前2 h,相对东部地区滞后1 h;地温与气温季节变化特征一致,各季节地温最值出现时刻相对气温滞后1 h;（2）地温变化速率随着土壤深度的增加而减小,在土壤深度达到70 cm以后,地温全年在0℃以上;低于0℃的5 cm地温持续时间约为4个月;（3）地温与空气温度、太阳辐射变化趋势一致,地温相对太阳辐射及气温明显滞后。相关分析与逐步回归表明,对地温变化起决定作用的环境因子为空气温度、蒸发量、太阳总辐射、风速、空气相对湿度、降水。     

京津冀都市圈人口集疏过程与空间格局分析

人口集疏过程及其空间格局变化是人口空间分布最直观的表现。以1982-2010年4期人口普查数据为基础,采用人口总量和人口密度指标,结合人口增减变化分级、人口商度等方法,定量分析了京津冀都市圈人口集疏过程及其空间格局变化。研究表明:近30年来,京津冀都市圈人口总量呈现持续增长趋势,人口空间分布日益不均衡,区域人口分布存在明显的南北、东西差异;人口增加是主要特征,人口集聚效应凸显,人口增加地区的县域单元比例在80%以上,以人口显著增加为主;人口减少只是零星分布,人口减少地区的县域单元比例占不到20%;人口流动比较频繁,以人口流入为主,主要流向北京、天津和河北的市辖区,人口流出地区仅是散落分布在张家口和承德的山区贫困县域;无论从静态人口指标还是动态人口分析方法,都表明京津冀都市圈人口地域集疏特征十分明显,已形成以北京、天津、石家庄为中心,其他地市(县域)人口分别向外依次扩展的人口多中心分布的圈层结构。     

A novel dynamic stretching solution to eliminate saturation effect in NDVI and its application in drought monitoring

The normalized difference vegetation index(NDVI) is one of the key input variables for developing drought indices.However,the NDVI quickly saturates in high vegetation surfaces,and thus,the generalization of a drought index over different ecosystems becomes a challenge.This paper presents a novel,dynamic stretching algorithm to overcome the saturation effect in NDVI.A scaling transformation function to eliminate saturation effects when the vegetation fraction(VF) is large is proposed.Dynamic range adjustment is conducted using three coefficients,namely,the normalization factor(a),the stretching range controlling factor(m),and the stretching size controlling factor(e).The results show that the stretched NDVI(S-NDVI) is more sensitive to vegetation fraction than NDVI when the VF is large,ranging from 0.75 to 1.00.Moreover,the saturation effect in NDVI is effectively removed by using the S-NDVI.Further analysis suggests that there is a good linear correlation between the S-NDVI and the leaf area index(LAI).At the same time,the proposed S-NDVI significantly reduces or even eliminates the saturation effect over high biomass.A comparative analysis is performed between drought indices derived from NDVI and S-NDVI,respectively.In the experiment,reflectance data from the moderate resolution imaging spectroradiometer(MODIS) products and in-situ observation data from the meteorological sites at a regional scale are used.In this study,the coefficient of determination(R2) of the stretched drought index(S-DI) is above 0.5,indicating the reliability of the proposed algorithm with surface soil moisture content.Thus,the S-DI is suggested to be used as a drought index in extended regions,thus regional heterogeneity should be taken into account when applying stretching method.     

优化课程体系培养测绘工程专业创新人才

在高等教育由精英教育逐渐转向大众化教育的新形势下,高校培养与社会和时代相适应的人才,就必须不断完善人才培养模式,优化课程体系。针对学院就测绘工程专业课程体系进行的改革与优化作初步的探讨,对培养测绘工程专业创新人才有一定的参考意义。