Ecological and Economic Services Provided by Birds on Jamaican Blue Mountain Coffee Farms

Abstract: Coffee farms can support significant biodiversity, yet intensification of farming practices is degrading agricultural habitats and compromising ecosystem services such as biological pest control. The coffee berry borer (Hypothenemus hampei) is the world's primary coffee pest. Researchers have demonstrated that birds reduce insect abundance on coffee farms but have not documented avian control of the berry borer or quantified avian benefits to crop yield or farm income. We conducted a bird‐exclosure experiment on coffee farms in the Blue Mountains, Jamaica, to measure avian pest control of berry borers, identify potential predator species, associate predator abundance and borer reductions with vegetation complexity, and quantify resulting increases in coffee yield. Coffee plants excluded from foraging birds had significantly higher borer infestation, more borer broods, and greater berry damage than control plants. We identified 17 potential predator species (73% were wintering Neotropical migrants), and 3 primary species composed 67% of migrant detections. Average relative bird abundance and diversity and relative resident predator abundance increased with greater shade‐tree cover. Although migrant predators overall did not respond to vegetation complexity variables, the 3 primary species increased with proximity to noncoffee habitat patches. Lower infestation on control plants was correlated with higher total bird abundance, but not with predator abundance or vegetation complexity. Infestation of fruit was 1–14% lower on control plants, resulting in a greater quantity of saleable fruits that had a market value of US$44–$105/ha in 2005/2006. Landscape heterogeneity in this region may allow mobile predators to provide pest control broadly, despite localized farming intensities. These results provide the first evidence that birds control coffee berry borers and thus increase coffee yield and farm income, a potentially important conservation incentive for producers.     

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     

生态系统服务功能及其价值核算

生态系统服务功能是指生态系统服务与生态系统功能的综合，指生态系统与生态过程所形成及所维持的人类赖以生存的自然环境条件与效用，生态系统服务功能对于人类生存发展具有重要的价值，应该在社会经济体系中得以体现，本文探讨了生态系统服务功能的类型，价值核算方法与理论及其应用研究在完善国民经济核算体系、促进可持续发展等方面的重要意义，并对今后发展进行了展望。     

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.     

长江流域2000—2015年生态系统质量及服务变化特征

分析生态系统质量与服务现状及变化特征,有助于准确了解流域生态系统状况与趋势,为流域生态保护与修复的高效管理提供参考依据.采用相对生物量密度与相对植被覆盖度指数以及生态系统服务（土壤保持、防风固沙、洪水调蓄、粮食生产）评估模型,评估2000—2015年长江流域生态系统质量及服务变化特征.结果表明:①2000—2015年,长江流域森林、灌丛以及草地生态系统质量提升显著,56.56%的森林、45.65%的灌丛以及19.26%的草地生态系统质量得到不同程度的提高.②研究期间,长江流域粮食生产、洪水调蓄、土壤保持、防风固沙均呈显著上升趋势,其中粮食生产能力增加13.7%,洪水调蓄功能提升10.1%,土壤保持服务提高19.5%,防风固沙总量增加30.0%.③长江流域生态系统质量不高,处于低与差质量等级的生态系统面积比例在25%~35%之间;受不同类型的自然和人类活动影响,长江流域生态系统质量与服务均存在局部退化现象.研究显示,在生态质量与服务评估的基础上,分区域、分类型实施不同的生态系统保护与恢复途径,是今后长江流域加强生态系统管理的重要途径.      

基于生态系统服务供需关系的广西县域国土生态修复空间分区

国土生态修复是我国土地整治战略发展的需求,其空间分区与管控是实施国土整治与生态修复差别化建设的前提条件。以广西各县市为研究单元,在测算和分析生态系统服务供给量和需求量基础上,利用象限匹配法、双变量局部空间自相关和供需协调度来定量分析生态系统服务供需匹配关系、空间聚集程度和协调关联性,进而探讨和划分广西国土生态修复的空间分区及其管控措施与建议。研究表明：（1）广西各县市生态系统服务供给和需求差异明显。环绕广西的四周山林地和重点生态功能区县生态系统服务供给量较高,大中城市区则较低。生态系统服务需求量自东南向西北逐渐减少。（2）广西生态系统服务供需空间匹配呈现高供高需型、低供高需型、低供低需型、高供低需型四种类型,供需局部空间自相关以高-低或低-高的空间聚集为主,且生态系统服务供需协调度平均值为0.531,处于一般均衡。（3）结合生态系统服务供需匹配四类特征和广西地理环境条件,将广西各县域划分为10个分区,并针对各分区提出差异化整治措施和建议。总体上,生态系统服务高供高需型的区域应以保育为主、培育为辅,防止过度开发;高供低需型的区域以保护为主,提高管理水平;低供高需型的区域应以综合改良为主,提高土地效益;低供低需型的区域应以国土生态重构或重建为主,侧重恢复生态系统。     

张家界城镇居民幸福水平对旅游城镇化集聚的响应识别及测度

以欠发达地区城镇居民幸福水平对旅游城镇化集聚的响应为研究目标,构建二者的响应模型,识别和测度了城镇居民幸福水平对旅游城镇化集聚的响应强度。结果表明:（1）通过对张家界旅游城镇化集聚水平与城镇居民幸福水平进行格兰杰因果检验发现:旅游城镇化集聚是城镇居民幸福水平的单向格兰杰因果关系,即旅游城镇化集聚对城镇居民幸福水平具有正向促进作用。（2）由于受旅游城镇化集聚水平的影响,幸福水平在不同时期也受不同幸福外在因素的影响,关联度从精神文化环境、自然生态环境等非经济因素向社会安全环境、生活质量环境等经济因素转变。（3）旅游城镇化集聚对城镇居民幸福水平的作用路径区别于满足人们物质需求后,再满足非物质需求的传统幸福水平提升路径,而是先被动地改善“非物质”需求后继而带动“物质”需求改善以提升幸福水平。研究成果可为同类欠发达地区通过发展旅游城镇化提升居民幸福水平提供理论支撑及借鉴。     

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.