低碳农业评价指标体系的构建及对广东的评价

本文对低碳农业评价指标体系的构建进行深入探讨,主要从农业生产要素产出效率、能源利用低碳化水平、农业生产方式低碳化水平、农业碳汇效应4个维度构建指标体系,并运用德尔菲法、加乘混合合成法确立综合指标评价值及设定低碳农业发展水平的等级评价标准,以此为科学量化评价农业低碳发展水平提供一个简便工具,实现对低碳农业评价由定性描述向定量分析的转变。在此基础上,将该评价指标体系应用于对广东省低碳农业发展综合评价的实证研究,以期为农业决策者制定和实施科学的低碳发展政策提供依据。研究结果显示,2006-2010年广东省低碳农业发展水平与低碳农业发展要求尚有较大差距,处于从较高碳发展水平向中碳发展水平迈进的阶段;“农业生产方式低碳化水平”成为广东农业低碳发展的最大制约性因素;与全国其他9省区比较,广东省低碳农业发展综合指数属于中等偏下的位次。由此可见,当前广东省高碳化的现代农业发展模式,成为阻碍低碳农业发展的最大因素;而坚持现有耕地的有效保护与合理拓展有效耕地面积,并因地制宜地提高农地的复种指数,对增强广东种植业的碳汇效应,保护和改善生态环境具有关键性的作用。     

工业绿色发展评价指标体系及应用于广东省区域评价的分析

工业的快速发展,给资源环境带来了前所未有的压力,于是人们纷纷探讨绿色发展之路.工业绿色发展评价指标体系的研究旨在发现工业绿色转型升级中的薄弱环节,设计评估工业的绿色发展状况的指标,引导工业绿色转型升级,从而实现工业发展与资源环境的和谐统一.文章借鉴脱钩理论的核心理念,分析资源环境的特征指标,利用工业资源消耗或污染物排放变化对工业产值的弹性脱钩值作为考察工业绿色转型升级的动态指标,建立包括工业资源环境压力、工业资源环境弹性脱钩和工业发展绿化度3个方面的工业绿色发展评价指标体系,并应用于广东省21个地级以上城市的评价分析.研究表明,该指标体系对于评价工业绿色发展具有实际可操作性,结果合理、可靠.对广东各地的实证评价分析显示,广东省工业总体绿色发展水平不断提升,在高压力水平下,逐步向资源节约型、环境友好型的新型工业化道路转型.但由于各地工业发展水平不同、资源环境约束目标不同,工业绿色发展的进程也存在较大区域差异.资源环境约束严格的珠三角核心区工业绿色发展情况相对其他地区较好,属高绿化度高资源环境压力的绿色发展模式.资源环境约束较严格的粤北山区工业转型升级也有明显进展.而在资源环境约束管理不大的珠三角非核心区与粤西地区中,江门和湛江工业绿色发展相对较好,肇庆和茂名一般,惠州和阳江工业呈粗放发展,粤东地区除汕头外,工业粗放发展趋势明显.因此,各地应制定针对性措施,促进工业结构调整,限制高消耗、重污染型行业发展,加大工业污染防治力度,推进高消耗、重污染型行业的生态化转型,推动工业绿色转型升级加快.     

Providing health services during a civil war: the experience of a garrison town in South Sudan

The impact of conflict, particularly conflict arising during civil wars, on the provision of healthcare is a subject that has not been widely considered in conflict‐related research. Combatants often target health services to weaken or to defeat the enemy, while attempts to maintain or improve health systems also can comprise part of counter‐insurgency ‘hearts‐and‐minds’ strategies. This paper describes the dynamics associated with the provision of health services in Malakal, an important garrison town in South Sudan, during the second Sudanese civil war (1983–2005). Drawing on the concepts of opportunity hoarding and exploitation, it explores the social and political dynamics of service provision in and around the town during the war. These concepts provide a useful lens with which to understand better how health services are affected by conflict, while the empirical case study presented in the paper illustrates dynamics that may be repeated in other contexts. The concepts and case study set out in this paper should prove useful to healthcare providers working in conflict zones, including humanitarian aid agencies and their employees, increasing their understanding of the social and political dynamics that they are likely to face during future conflict‐related complex emergencies.     

Sovereign financial disaster risk management: The case of Mexico

In 2006, Mexico became the first transition country to transfer part of its public-sector natural catastrophe risk to the international reinsurance and capital markets. The Mexican case is of considerable interest to highly exposed transition and developing countries, many of which are considering similar transactions. Risk financing instruments can assure governments of sufficient post-disaster capital to provide emergency response, disaster relief to the affected population and repair public infrastructure. The costs of financial instruments, however, can greatly exceed expected losses, and for this reason it is important to closely examine their benefits and alternatives. This paper analyzes the Mexican case from the perspective of the risk cedent (the Ministry of Finance and Public Credit), which was informed by analyses provided by the International Institute for Applied Systems Analysis (IIASA). The rationale for a government to insure its contingent liabilities is presented along with the fiscal, legal and institutional context of the Mexican transaction. Using publicly available data, the paper scrutinizes the choice the authorities faced between two different risk-transfer instruments: reinsurance and a catastrophe bond. Making use of IIASA's catastrophe simulation model (CATSIM), this financial risk management decision is analyzed within the context of a public investment decision.     

Foundations of community disaster resilience: well-being,identity, services,and capitals

If community disaster resilience is to mature into a robust and lasting area of research, methodologically facilitated dialogue between empirical observations and theory is necessary. However, methodological and empirical research has outpaced community disaster resilience theory. To address this gap, a theoretical framework called WISC is presented. WISC is named after four constructs of the framework: well-being, identity, services, and capitals. WISC relates the two concepts of community and infrastructure, broadly defined, to the four constructs it is named after. The 4 constructs are respectively defined by 29 variables. The broadest interpretation of WISC is that infrastructure supports and facilitates components of community within human settlements. Infrastructure is represented as combinations of capitals and services; community is represented by connections of identity and well-being. Ultimately, well-being of a community is dependent on that community's collective capital. But these two constructs are mediated by the intervening constructs of identity and services. WISC goes beyond existing frameworks by addressing essential elements of theory building that have been overlooked in the literature, while synthesizing other frameworks and areas of knowledge. WISC provides a powerful foundation for posing and evaluating hypotheses, improving data collection efforts, and, most importantly, enabling critical theory building.     

Use of linkage mapping and centrality analysis across habitat gradients to conserve connectivity of gray wolf populations in western North America

Centrality metrics evaluate paths between all possible pairwise combinations of sites on a landscape to rank the contribution of each site to facilitating ecological flows across the network of sites. Computational advances now allow application of centrality metrics to landscapes represented as continuous gradients of habitat quality. This avoids the binary classification of landscapes into patch and matrix required by patch-based graph analyses of connectivity. It also avoids the focus on delineating paths between individual pairs of core areas characteristic of most corridor- or linkage-mapping methods of connectivity analysis. Conservation of regional habitat connectivity has the potential to facilitate recovery of the gray wolf (Canis lupus), a species currently recolonizing portions of its historic range in the western United States. We applied 3 contrasting linkage-mapping methods (shortest path, current flow, and minimum-cost-maximum-flow) to spatial data representing wolf habitat to analyze connectivity between wolf populations in central Idaho and Yellowstone National Park (Wyoming). We then applied 3 analogous betweenness centrality metrics to analyze connectivity of wolf habitat throughout the northwestern United States and southwestern Canada to determine where it might be possible to facilitate range expansion and interpopulation dispersal. We developed software to facilitate application of centrality metrics. Shortest-path betweenness centrality identified a minimal network of linkages analogous to those identified by least-cost-path corridor mapping. Current flow and minimum-cost-maximum-flow betweenness centrality identified diffuse networks that included alternative linkages, which will allow greater flexibility in planning. Minimum-cost-maximum-flow betweenness centrality, by integrating both land cost and habitat capacity, allows connectivity to be considered within planning processes that seek to maximize species protection at minimum cost. Centrality analysis is relevant to conservation and landscape genetics at a range of spatial extents, but it may be most broadly applicable within single- and multispecies planning efforts to conserve regional habitat connectivity.     

浅析混凝沉降实验研究与实际工艺的差异

介绍混凝沉降实验与实际沉降工艺各自的特点和存在的问题,从相似理论的角度出发,指出了玻璃量筒沉降实验和实际沉降工艺存在着几何尺寸、初始条件、运动条件三方面的不相似,较好地解释了两者的沉降速度和沉降效果的差异;并提出今后的混凝沉降实验应该进一步符合相似理论,从而更加合理地模拟实际沉降工艺.     

加拿大最佳管理措施流域评价项目评述

可持续农业的目的是在保持良好环境质量的同时获得较高的农业生产率。最佳管理措施(BMPs)在世界范围内已得到广泛应用,以减少农业污染物对水环境的影响。自2004年以来,加拿大农业部实施了最佳管理措施流域评价(WEBs)项目,在全国各地选择了有代表性的9个小流域,对BMPs的环境和经济效益进行评价。笔者对过去几年来WEBs项目的进展、研究方法及主要成果进行简要的回顾,并对在中国开展类似项目的必要性和启示进行了探讨。     

全氟辛烷磺酸盐(PFOS)替代品对家蚕大造的生态毒性

以中国本地家蚕品种大造作为受试生物,实现实验室规模化饲料饲养和初步实验动物化;建立家蚕大造环境危害评价急性毒性测试方法;对4种PFOS替代品包括:50%的全氟丁基有机铵盐阳离子表面活性剂、用调聚法合成的织物三防整理剂(含固率23.7%)、用电解氟化法合成的C4和C6织物三防整理剂,进行了急性接触毒性、急性饲喂毒性及慢性饲喂毒性的安全风险评价。实验使用的4种PFOS替代品试验急性饲喂浓度均达到或超过2000mg·L-1,家蚕未出现明显死亡;在接触实验浓度达到10g·L-1时,家蚕未出现明显死亡,以上结果证明,4种PFOS替代品对大造蚕种的急性饲喂毒性和接触毒性均为低毒。较低浓度的表面活性剂会严重影响到大造蚕种的结茧率,当表面活性剂浓度为0.4g·kg-1时,蚕种不能结茧,其余3种化学品在浓度大于0.004g·kg-1,对大造蚕种的结茧率产生一定的影响作用,但抑制作用相对较为平缓。替代品均会降低家蚕茧层率,表面活性剂在浓度为0.04g·kg-1时,茧层率剧烈下降,其他3种替代品抑制作用相对平缓。织物三防整理剂、C4和C6织物三防整理剂几乎不会影响蚕卵孵化,但表面活性剂会造成家蚕孵化率降低,在0.04g·kg-1后孵化率为0。     

煤炭开采区生态损害补偿评估模型的构建与应用

煤炭开采区的生态补偿包括对生态损害的补偿、对厂商与居民负担的外部成本补偿以及对新资源和替代能源的开发补偿三部分.将煤炭开采区的生态损害补偿过程分为生态修复、生态恢复和生态平衡3个阶段.通过确定煤炭开采区生态损害补偿3个阶段的生态补偿目标,构建各阶段土地、植被和水环境生态损害补偿的评估模型,分别测算了完成生态修复、生态恢复和生态平衡3个阶段补偿目标所需的生态损害补偿总量和每t煤所需提取的生态损害补偿金额.