水土流失评价数据库建立中的数据标准化研究--以中国潜在水土流失评价数据库为例

在水土流失评价数据库的建立研究中，涉及到数据的标准化问题。该研究以中国潜在水土流失评价数据库建立过程中的数据标准化研究为例，探讨建立适合水土流失评价数据标准化的方法。研究包括了水土流失数据标准化建设中的评价数据库的设计、数据的标准化。其中，数据的标准化包括数据的收集与分析、数据的录入、投影变换、其它格式向ARC/INFO格式的转换、补充编制专题文档等。     

海南省五指山土壤中的重金属元素含量

海南省地处热带地区，山地面积占25．4％，五指山是海南山地的核心，也是海南最高峰，从下而上依次分布着砖红壤、赤红壤、黄壤、灌丛草甸土。五指山土壤普遍遍缺，而Zn、Ni、Pb、Cd、Cr、Co含量属正常值。在成土过程中，Cd有一定积累，其他元素有明显淋溶。在自下而上的垂直带谱中，Zn、Co含量呈现递减，Cd则相反，Ni、Pb、Cu、Cr含量呈现波浪式变化。气候因素是影响五指山土壤重金属元素含量及分布的主导因素。     

胶茶人工群落在改善山地土壤生态环境上的作用

经过多年的实践和研究结果表明，橡胶(Hevea brasiliensis)—茶树(Camellia sinensis)两层人工群落结构，比单一橡胶种植模式有着明显的改善山地土壤生态环境的特点。胶—茶人工群落对减少水土流失，改善土壤微生物状况，增强土壤地表呼吸强度，促进团聚体形成和提高土壤肥力以及增加单产等方面，均有显著的效果。因此，胶—茶人工群落为合理利用我国西部热带山地资源，开辟了一条新的经营种植模式。     

湘北红壤坡地雨水过程的水土流失及其影响

模拟主要利用方式构建的垫面为主导因子,采用径流场实测方法,通过4a(1998～2001年)实地观测试验,剖析不同下垫面对雨水地表径流及其过程的影响。研究表明:降雨(时间分布及其强度)是影响地表径流特征的主导因素;年降雨量与地表径流量和系统水土流失量呈正相关。不同垫面地表径流产量有显著性差异;雨水径流过程的土壤和养分流失有相似的表现。在假定雨水年份的基础上,应用不同雨水年份出现概率指标,推算出:湘北红壤坡地现今利用状况下,雨水产地表径流过程的年均水土流失量及其养分(有机质、N、P、K)损失量;和可最大开发利用时,可能带来的水土流失与养分损失。提出"利用坡地集雨利用优势,构建与单元生态系统水循环平衡相适应的坡地农林复合生态系统,通过水平衡生态建设来维系生态系统的水分平衡"观点。     

滇西北亚高山针叶林、硬叶栎类林的树种多样性

在滇西北香格里拉地区,以长苞冷杉(Abiesgeorgei)林、丽江云杉(Picealikiangensis)林作为亚高山针叶林的代表,以川滇高山栎(Quercusaquifolioides)林作为硬叶栎类林的代表,分别选择了6块样地,采用Shannon-Wiener多样性指数(H)、Simpson多样性指数的倒数(D')、Pielou均匀度指数(JH、JD)分别测定其树种多样性,并进行了比较研究。结果表明,三个森林类型的Shannon Wiener指数、Simpson指数的倒数、物种丰富度的顺序均为:长苞冷杉林>川滇高山栎林>丽江云杉林;而前两类森林的Pielou均匀度指数差异不大,但都高于丽江云杉林的均匀度指数值。滇西北的川滇高山栎具有很强的萌生能力。人工种植的亚高山针叶林的树种多样性较原始林低,需要较长时间的恢复过程。亚高山针叶林的存在极大地丰富了云南省的树种多样性,使云南植被的垂直地带性得到了充分体现。     

西藏自治区的土壤理化特性探讨

通过对西藏自治区主要土壤类型的实地踏勘和采样分析,并结合全国土壤普查资料的结果进行分析,揭示了本区土壤具有4点特性:即多砾石性、砂质性、成土幼年性和低矿化的富有机质性。因此,在改良本区土壤时,应重视去石与防治沙漠化措施,加强矿质养分肥料的施用,稳定有机肥的投入。     

西藏自治区土壤侵蚀特点及现状

西藏自治区地域辽阔,土壤侵蚀复杂多样。本文在野外调查的基础上,对西藏自治区土壤侵蚀特点作了全面论述,并对西藏自治区不同类型土壤侵蚀区的土壤侵蚀现状做了较全面的分区评价。同时取雅江中游地区19个县作为典型区域,利用1999年1:20万TM遥感图像土壤侵蚀解译结果,对该典型区域的土壤侵蚀现状作了定量评价。最后根据评价结果,对西藏自治区土壤侵蚀的发展趋势做了预测。     

Exploring some relationships between biological soil crusts, soil aggregation and wind erosion

A portable wind tunnel was used to test the contribution of biological and physical elements to overall soil aggregation on a soil dominated by biological soil crusts in south-eastern Australia. After moderate disturbance and simulated wind erosion, 90% of surface aggregates on the loamy soil and 76% on the sandy soil were dominated by biological elements (cryptogams). Lower levels of biological bonding were observed on the severely disturbed treatment. Linear regression indicated a significant positive relationship (r²=0·72) between biological soil crust cover and dry aggregation levels greater than 0·85mm. To maintain sediment transport below an erosion control target of 5gm⁻¹s⁻¹ for a 65kmh⁻¹ wind at 10m height, a crust cover of approximately 20% is required. When a multiple regression model which sequentially fitted biological crust cover and dry aggregation greater than 0·85mm was applied to the data, dry aggregation accounted for more of the variation in sediment transport rate than biological crust cover. These data were used to develop a conceptual model which integrates crust cover and dry aggregation, and provides a useful framework within which to predict the likely impacts of changes in soil crust cover and aggregation.     

Microbial production of CO2 in red soil in Stone Forest National Park

Lunan stone forest is a kind of typical karst in China, which is mainly developed under red soil. In the winter of 1999, three study sites were chosen in stone forest national park according to vegetation cover, geomorphologic location and soil types. CO2 concentration was measured with Gastec pump at different depths of soil (20, 40, 60 cm) and at the same time soil samples were gathered and soil properties such as soil moisture, pH, soil organic content were analyzed and the total number of viable microbes were counted in laboratory. In the study, dependent variable was chosen as the mean soil log (PCO2), and soil properties were chosen as the independent variables. Multiple stepwise regression analysis showed that the total amount of microbes and soil moisture are the best indicators of the CO2 production, with the equation LOG(PCO2) = - 0.039(TNM) - 0.056(Mo) + 1.215 accounting for 86% of the variation of the soil CO2 concentration, where TNM is the total number of microbes in the soil and Mo is the moisture of soil sample.     

我国部分市郊农田的重金属污染与防治途径

分析了我国部分主要城市农田土壤及农作物重金属污染状况，以了解土壤中与农作物中重金属污染物间的相互关系、变化趋势及造成污染的影响因素。结果表明，我国各大城市的农田土壤及农作物都存在不同程度的重金属污染，北方地区的土壤及农作物受重金属污染程度普遍高于南方。重金属在农作物与土壤中的含量一般呈正相关关系，受多种因素影响。对于已污染的土壤，可采用农业工程措施、生物修复法和施用改良剂等予以治理。