巢湖周边地区表层土壤总氮有机质空间分布特征

采用网格分区法在巢湖周边地区设置了60个采样单元,采取表层土样分析了总氮(TN)、有机质(OM)的空间分布特征。结果表明:(1)表层土壤w(TN)平均值为1 027 mg/kg,变化范围253 mg/kg~2 273 mg/kg,变异系数为46.3%;w(OM)平均值为1.95%,变化范围0.291%~5.48%,变异系数为49.3%。(2)表层土壤w(TN)、w(OM)高浓度地区主要集中在东部的柘皋河、兆河区域,低浓度地区主要集中在西部的派河、南淝河—店埠河区域。(3)巢湖周边地区土壤总氮、有机质空间分布与区域内入湖河流、巢湖水质、巢湖沉积物污染空间分布不一致。     

新修农田土壤培肥技术试验研究

黄土丘陵区土地资源主要以坡地形式存在，近年来声势浩大的坡改梯工程使一部分山坡地变为层层梯田，水土保持率明显提高，而如何进行新生土层的土壤培肥，又是该工程的重要课题。作者对当地近几年土壤培肥技术试验进行了研究。以期提高土地资源的利用率。     

The role of rural communities in the transition to a low-carbon Scotland: a review

The Scottish Government is committed to carbon reduction targets which are the most ambitious across the devolved administrations of the UK. Whilst Scotland operates within broader international and UK policy contexts, it has developed particular programmes and approaches to engage communities in the transition towards low-carbon futures. Rural areas have a role in the transition to a low-carbon Scotland; however, beyond land use and agriculture contributions, little research has explored the “rural” dimension of “low-carbon” transitions. The paper presents a policy and literature review relating to the low-carbon agenda in Scotland. It reflects on Scottish low-carbon policy and governance, the positioning of “rural communities” within this, and the opportunities and challenges this might present. Based on this, we develop an understanding of how rural communities may contribute to a low-carbon Scotland and identify a future research agenda to explore in more detail the nature and relative effectiveness of diverse governance structures to support this.     

锌冶炼区耕地土壤和农作物重金属污染状况及风险评价

对贵州省某典型锌冶炼区耕地土壤和主要谷类农作物(稻米、玉米和小麦)进行取样调查,测定了土壤和谷类农作物中重金属Pb、Cd、Zn和Cu的含量,采用单因子污染指数和综合污染指数法评价了土壤和作物籽粒中重金属的污染状况,并分别采用潜在生态风险指数(RI)和危险商(HQ)法评价了土壤重金属污染的潜在生态风险程度和作物中重金属对成人和儿童的健康风险.结果表明:(1)冶炼区耕地土壤受到了重金属不同程度的污染,污染程度排序:玉米地水稻田小麦地,且CdCuZnPb,内梅罗综合污染指数分析结果表明,玉米地污染程度为重污染,水稻田和小麦地为轻污染,且均以Cd对综合指数的贡献最大;(2)土壤Cd存在极强生态风险,4种重金属潜在生态危害大小顺序为:CdPbCuZn;生态风险指数(RI)研究结果表明,研究区处于轻微、中等、强的和很强的生态风险程度的采样点比例分别为1.41%、21.1%、35.2%和42.3%.(3)冶炼区农作物稻米中重金属Pb、Cd、Zn、Cu的平均含量分别为0.145、0.017、16.97和2.704 mg·kg~(-1);玉米中重金属Pb、Cd、Zn、Cu的平均含量分别为0.094、0.055、26.81和4.464 mg·kg~(-1);小麦中重金属Pb、Cd、Zn、Cu的平均含量分别为0.048、0.085、35.37和5.426 mg·kg~(-1).(4)研究区稻米、玉米和小麦均存在重金属超标现象,重金属污染程度为小麦最重,稻米和玉米的污染程度相当,稻米和玉米污染等级均为安全,小麦处于警戒线.(5)各重金属元素每日摄入量均低于美国环保署的参考暴露剂量,安全性较好,但食用该区域谷类农作物引起复合重金属污染对成人和儿童均存在健康风险.(6)耕地土壤重金属含量与谷类农作物可食部分重金属含量间无明显相关性.     

铜离子冲击下活性污泥微生物多样性的分子生态学分析

采用基于 16SrDNA序列分析方法 ,在长度多态 (LPM)和 16SrDNA的GC含量二维水平分析了受重金属污染的活性污泥系统内细菌的优势种类和多样性 .设计的PCR引物可以将细菌分为三大类 :即 1)proteobacterialα&δ(变形杆菌α&δ) ,2 )pro teobacterialβ&γ(变形杆菌 β&γ) ,以及 3)flexibacter(屈桡杆菌 )和革兰氏阳性菌 .分析了未受重金属驯化和受重金属驯化的两类活性污泥系统在重金属作用下优势种和多样性的变化 ,结果显示未驯化的活性污泥系统多样性减少但优势种的变化微小 ,而驯化系统优势种有较大的变化 ,但多样性基本不变 .这一结果证实驯化有助于提高微生物对重金属的抗性     

基于地理探测器的土壤重金属影响因子分析及其污染风险评价

地理探测器能快速定量化揭示驱动重金属含量影响因素的强度,这对于重金属空间预测模型构建变量的确定和土壤污染修复措施的精准实施具有重要意义.利用地理探测器模型,对5种土壤重金属元素Cu、Zn、Pb、Cr、Ni的空间分布和11种环境因子的交互作用进行定量评估,通过单因子指数法进行重庆市土壤重金属污染风险评价.结果表明:研究区...     

老化过程中铜形态变化的X射线吸收精细结构谱的(XAFS)初步研究

利用X射线吸收精细结构谱(XAFS)对老化过程中土壤中铜的分子形态进行初步表征。以硫酸铜、氧化铜和硫化铜的X射线吸收扩展边结构(EXAFS)谱为参比,对土壤样品中Cu的EXAFS谱进行拟合,得到不同老化阶段与参比物质相对应的结合态Cu的百分含量,并与连续提取法表征进行比较。XAFS分析结果表明,老化阶段土壤样品中铜的主要结合形态是CuSO_4,同时还有部分CuS,基本不含有CuO。随着时间的推移,土壤中CuSO_4百分含量呈现出下降的趋势,CuS百分含量呈现出上升的趋势。这与连续提取法研究结果中其可交换态的百分比下降,残渣态上升的趋势相似。     

季节性雪被对青藏高原东缘高寒草甸土壤氮矿化的影响

依据自然雪被分布的差异,在青藏高原东缘高寒草甸中设置3条样带(即深雪、中等厚度雪被和浅雪),于2008年的秋冬过渡期,连续监测各样带中的雪被厚度和土壤温度,并采用原位培养法测定每月的土壤氮素氨化、硝化和矿化速率,以研究不同厚度雪被对高寒草甸土壤氮矿化的影响.结果表明,月均土温、每月日最高土温均值分别与雪被厚度极显著相关,二次函数关系拟合较好(R2=0.576,0.685),且根据每月日最高土温均值与雪被厚度的二次函数关系方程可知,25 cm厚的雪被可以起到较好的隔绝效果;土壤含水量受雪被厚度和土壤温差两个因素的显著影响.在秋冬过渡期末,浅雪梯度下土壤硝态氮含量显著降低,且雪被下的净氮矿化速率与月均土温、每月日最高土温均值、每月日最低土温均值都分别呈极显著相关,二次函数关系拟合较好(R2=0.589,0.541,0.601).研究表明,不同厚度的雪被对土壤温度和含水量影响显著,从而显著地影响着土壤氮的矿化,深雪更有利于氨化、硝化和氮矿化.图7表2参36     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

恩诺沙星对土壤微生物群落代谢功能多样性的影响（Effects of Enrofloxacin on the Functional Diversity of Soil Microbial Communities）

为了评价恩诺沙星(Enrofloxacin)对土壤微生物群落的影响,借助BIOLOG检测法比较了不同浓度恩诺沙星影响下的土壤微生物的群落特征.结果表明,加药组土壤微生物的丰富度指数和多样性指数显著低于空白对照组,且药物浓度越高丰富度和多样性越小.用药后第3d、14d,恩诺沙星含量0.1～100μg·g-1使土壤微生物群落代谢功能多样性显著降低(p<0.05);第35d,恩诺沙星含量10～100μg·g-1使土壤微生物群落代谢功能多样性显著降低,随着药物作用的时间延长,药物含量0.01～1μg·g-1组土壤微生物群落代谢功能多样性与空白对照组之间的差异变小.