Traditional agriculture in transition: examining the impacts of agricultural modernization on smallholder farming in Ghana under the new Green Revolution

Following the renewed effort at achieving a new green revolution for Africa, emphasis has been placed on modernizing smallholder agriculture through the deployment of improved inputs especially mechanized technologies. In Ghana, the government has in the last decade emphasized the provision of subsidized mechanized ploughing services to farmers alongside a rapidly growing private sector tractor service market. While mechanized technology adoption rates have increased rapidly, the deployment of these technologies has been without critical analysis of the impacts on production patterns and local agrarian systems. This paper examines the distributional impacts of agriculture mechanization on cropping patterns and farm sizes of smallholder farmers in northern Ghana using Geographic Information Systems (GIS) techniques, and semi-structured interviews with smallholder farmers (n=60). Specifically, comparative analysis of the field sizes and cropping patterns of participant farmers prior to and after the adoption of mechanized technologies was conducted. In-depth interviews were used to contextualize the experiences of smallholder farmers toward understanding how mechanization may be impacting traditional agriculture. Our findings reveal a mechanization paradox in which farm sizes are expanding, while cropping patterns are shifting away from traditional staple crops (pearl millet and sorghum bicolor) to market-oriented crops (maize, rice and groundnuts). This transition we argue, has adverse implications on the cultural dimension of food security, the organization of social life, and climate change adaptation. We recommend a retooling of the current agricultural policy focus to ensure context sensitivity for a more robust battle against food insecurity.     

Analysis of the Trend and Seasonal Cycle of Carbon Monoxide Concentrations in an Urban Area (4 pp)

Background, Aim and Scope Air quality is an field of major concern in large cities. This problem has led administrations to introduce plans and regulations to reduce pollutant emissions. The analysis of variations in the concentration of pollutants is useful when evaluating the effectiveness of these plans. However, such an analysis cannot be undertaken using standard statistical techniques, due to the fact that concentrations of atmospheric pollutants often exhibit a lack of normality and are autocorrelated. On the other hand, if long-term trends of any pollutant’s emissions are to be detected, meteorological effects must be removed from the time series analysed, due to their strong masking effects. Materials and Methods The application of statistical methods to analyse temporal variations is illustrated using monthly carbon monoxide (CO) concentrations observed at an urban site. The sampling site is located at a street intersection in central Valencia (Spain) with a high traffic density. Valencia is the third largest city in Spain. It is a typical Mediterranean city in terms of its urban structure and climatology. The sampling site started operation in January 1994 and monitored CO ground level concentrations until February 2002. Its geographic coordinates are W0°22′52″ N39°28′05″ and its altitude is 11 m. Two nonparametric trend tests are applied. One of these is robust against serial correlation with regards to the false rejection rate, when observations have a strong persistence or when the sample size per month is small. A nonparametric analysis of the homogeneity of trends between seasons is also discussed. A multiple linear regression model is used with the transformed data, including the effect of meteorological variables. The method of generalized least squares is applied to estimate the model parameters to take into account the serial dependence of the residuals of this model. This study also assesses temporal changes using the Kolmogorov-Zurbenko (KZ) filter. The KZ filter has been shown to be an effective way to remove the influence of meteorological conditions on O₃ and PM to examine underlying trends. Results The nonparametric tests indicate a decreasing, significant trend in the sampled site. The application of the linear model yields a significant decrease every twelve months of 15.8% for the average monthly CO concentration. The 95% confidence interval for the trend ranges from 13.9% to 17.7%. The seasonal cycle also provides significant results. There are no differences in trends throughout the months. The percentage of CO variance explained by the linear model is 90.3%. The KZ filter separates out long, short-term and seasonal variations in the CO series. The estimated, significant, long-term trend every year results in 10.3% with this method. The 95% confidence interval ranges from 8.8% to 11.9%. This approach explains 89.9% of the CO temporal variations. Discussion The differences between the linear model and KZ filter trend estimations are due to the fact that the KZ filter performs the analysis on the smoothed data rather than the original data. In the KZ filter trend estimation, the effect of meteorological conditions has been removed. The CO short-term componentis attributable to weather and short-term fluctuations in emissions. There is a significant seasonal cycle. This component is a result of changes in the traffic, the yearly meteorological cycle and the interactions between these two factors. There are peaks during the autumn and winter months, which have more traffic density in the sampled site. There is a minimum during the month of August, reflecting the very low level of vehicle emissions which is a direct consequence of the holiday period. Conclusions The significant, decreasing trend implies to a certain extent that the urban environment in the area is improving. This trend results from changes in overall emissions, pollutant transport, climate, policy and economics. It is also due to the effect of introducing reformulated gasoline. The additives enable vehicles to burn fuel with a higher air/fuel ratio, thereby lowering the emission of CO. The KZ filter has been the most effective method to separate the CO series components and to obtain an estimate of the long-term trend due to changes in emissions, removing the effect of meteorological conditions. Recommendations and Perspectives Air quality managers and policy-makers must understand the link between climate and pollutants to select optimal pollutant reduction strategies and avoid exceeding emission directives. This paper analyses eight years of ambient CO data at a site with a high traffic density, and provides results that are useful for decision-making. The assessment of long-term changes in air pollutants to evaluate reduction strategies has to be done while taking into account meteorological variability     

我国人口资源与食物问题

人口增多,耕地减少,部分地区供水不足,是我国人口与资源矛盾的基本格局。由于人口的压力,对资源实行超强度的利用,使较大范围的地区生态环境恶化,严重威胁农业生产,并成为许多地区多灾、低产、贫困的根本原因,较低的食物人均占有水平,将继续成为中国国民经济发展和人民生活水平提高的严重限制因素。增加食物,必须挖掘资源的潜力,开源与节流相结合,以内涵挖潜为主。首先是要立足现有的耕地,致力于提高单产;同时,合理开发水域、山地、草地等资源,广辟食物来源,提高非耕地资源的生产力,提高林牧渔业的发展水平。耕地应以深度开发为主,走资源节约型(节地、节水、节时、节能)的集约化道路。     

The Role of Foreign Direct Investment in Urban Environmental Management: Some Evidence from Hanoi, Vietnam

In recent years flows of foreign direct investment (FDI) to developing countries have rapidly been increasing. It is now an important contributor to the national economy and urban growth in scores of developing countries. Rapid urbanization in these countries is leading to many problems in the cities. Existing urban infrastructure and municipal services have been unable to cope with the increased demand arising from growing population and rapid economic growth. Consequently, the environment in these cities has deteriorated alarmingly. This paper assesses the role of FDI in urban environmental management (UEM) by analyzing the linkages between them for Hanoi City in Vietnam. The paper's analysis and findings are presented under three main themes: one, FDI, employment and income; two, FDI and environmental degradation; and three, potential of utilizing FDI for the provision of urban environmental infrastructure and services (UEI&S) in order to improve the urban environment. Both primary and secondary source data have been used. Policy implications of the research findings are drawn from the perspective of sustainable development.     

城市游憩空间结构优化研究——以大连市为例

鉴于我国城市化的快速发展．城市居民游憩需求与供给的矛盾日益突出。本文选择城市游憩空间结构作为研究对象．综合分析现有的城市游憩空间结构和典型游憩功能区的研究成果，探讨了城市游憩需求的空间结构特征、游憩供给的空间结构特征．分析了城市游憩需求和供给空间结构特征的形成因素,提出理想的城市游憩空间结构模式。通过调研大连市主城区游憩场所的分布情况、使用情况以及大连城市游憩者的游憩需求特征,分析了大连市游憩供给和需求之间的矛盾及城市游憩空间的等级结构和整体结构。     

Migration Pathways and Remediation of Urban Runoff for PAH Control

The migration pathways for polyaromatic hydrocarbons (PAH) and the associated active attenuating mechanisms within the urban environment are examined. The interest in developing an improved understanding of PAH migration/attenuation is focused toward quantification of the cost-effectiveness of urban runoff control strategies for mitigation of PAH inputs to receiving water bodies.A case study application to the City of Sault Ste Marie demonstrates that snow removal from sub-basins with the largest deposition rates, and relatively small wet and/or dry stormwater management ponds, are the most cost-effective remediation strategies.     

基于土壤重金属特征的绿色食品产地环境评价——以重庆(江津)现代农业园区为例

以重庆市江津区现代农业园区内4种农用地类型的653个表层土样为研究对象,测定土壤重金属元素含量.依据绿色食品产地环境相关标准,采用重金属污染指数法对标准中所涉及的Cu、Cr、Cd、Hg、As和Pb共6种重金属元素开展土壤环境质量评价和潜在生态风险评价,并结合用地类型确定绿色农产品生产的适宜性土壤分区.结果表明：除元素Cu、Cr和As外,其他元素的平均含量均高于重庆市土壤背景值;除元素As和Hg外,其他元素的平均含量均高于我国土壤背景值.土壤重金属元素Cu、Cr、Cd、Hg、As和Pb的平均浓度均达到《绿色食品产地环境质量》标准要求,但Cd污染已处于安全警戒线内,应高度警惕和严格监管园区内该元素的污染.水田、旱地和果园的土壤环境均以尚清洁为主,其他园地的土壤环境以轻度污染水平为主.部分水田存在一定程度的Pb污染（轻度）、Hg污染（中度）和Cd污染（中度）,旱地存在一定程度的Hg污染（中度）和Cd污染（中度）,果园和其他园地的土壤存在一定程度的Cd的轻、中度污染.全区符合《绿色食品产地环境质量》标准要求的土壤面积为12.47km²,占农用地总面积的63.64%,旱地、果园、水田和其他园地中符合该标准的面积分别占各自总面积的84.83%、68.07%、56.51%和42.09%.4种用地类型的土壤环境生态风险水平均以低等为主,共占研究区总面积的74.70%.Cd和Hg在园区表层土壤重金属生态风险评估中占有较大的贡献率,应列为优先控制污染元素并对其生态效应开展进一步研究.     

我国能源资源税改革对城乡居民的收入分配效应——基于CGE模型的分析

通过构建包含7个城镇居民组和5个农村居民组的多收入阶层CGE模型,并将劳动力要素分为农业劳动力、技术工人和生产工人3类,在低税率、实际税率和高税率三种情景下模拟了煤炭、石油和天然气资源税改革单独实施和同时实施对城镇和农村居民的收入分配效应,并对税收补偿措施的效果进行分析.结果表明：单独实施煤炭资源税或天然气资源税改革对城镇居民组收入差距有正向的缩小作用,有利于收入分配公平,但对农村居民组收入差距起到负向的扩大作用,不利于收入分配公平;单独实施石油资源税改革则同时缩小了城镇和居民组的收入差距,有利于收入分配公平;同时实施三类能源资源税改革的收入分配效应与税率组合方式有关;将能源资源税收入以补贴的方式返还给农村居民可以缩小其收入差距,有利于收入分配公平.     

不同基质生物炭对厌氧处理餐厨垃圾效能及微生态的影响

探究了剩余污泥（SS）、餐厨垃圾（FW）、玉米芯（CC）、甘蔗渣（BG）4种不同基质生物炭对厌氧生物处理餐厨垃圾效能的影响,对厌氧污泥的关键酶活性、微生物群落分布以及代谢途径等微生态进行了分析.结果表明,厌氧反应器分别加入4种生物炭后,COD平均去除率分别提高了29.49%、23.16%、29.42%、40.32%;傅里叶红外分析表明,投加SS生物炭组出水中羟基、酰胺基以及C-O-C伸缩振动峰减弱.4个厌氧反应器中厌氧污泥的乙酸激酶活性分别为0.40,0.42,0.96,0.98 μmol/g,表明投加CC与BG生物炭促进了餐厨垃圾的厌氧水解酸化过程;厌氧污泥胞外聚合物的蛋白质/多糖之比分别为0.415、0.56、1.89、2.8,投加CC、BG生物炭提高了污泥的稳定性.4个厌氧反应器中拟杆菌门、变形菌门、厚壁菌门为主要菌群,投加BG生物炭促进了变形菌门与厚壁菌门的生长;对于古细菌而言,甲烷杆菌属与甲烷丝菌属为优势种群,SS组的甲烷杆菌属丰度最高（53.48%）,而BG组中甲烷丝菌属丰度最高（42.72%）.KEGG功能分析表明古菌及细菌均以碳水化合物代谢、氨基酸代谢为主;而投加BG与SS生物炭后,微生物膜运输水平得到了提高.     

基于空间适宜性评价和人口承载力的贵溪市中心城区城市开发边界的划定

城市开发边界的划定能够合理引导城市空间的有序发展,控制其无序蔓延。论文以典型的资源型城市贵溪市为研究区,从空间适宜性评价、人口承载力、城市规模以及城市总体规划和土地利用总体规划（简称“两规”）衔接等方面探索有效的城市开发边界划定方法。空间适宜性评价综合考虑自然、空间可达性和生态条件,运用聚类分析法确定区域内不宜作为开发建设的生态底线区域和适宜建设开发区域的高低等级,以此确定城市开发边界的发展方向。通过灰色预测GM(1,1)模型预测研究区2020年人口总量,并基于土地资源和水资源承载力验证当地所能容纳的最大人口总量,同时确定城市规模和划定城市开发边界。以空间适宜性评价、人口承载力、城市规模预测、两规衔接和空间形态控制等方法倒逼缩减建设用地,从而划定城市发展的刚性和弹性增长边界。