Effect of Planning for Connectivity on Linear Reserve Networks

Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock‐route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape‐value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real‐world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked. El Efecto de la Planeación para la Conectividad en Redes de Reservas Lineales     

基于模糊聚类的马氏链模型在交通事故预测中的应用

运用模糊聚类分析方法,借助于MATLAB软件,对中国31个地区交通事故的危害程度进行动态分类和综合评价。根据中国1999—2005年31个地区的交通事故4个指标和5个社会经济因素数据,把31个地区分为3类,即轻灾区、较重灾区、重灾区;其中浙江、福建与宁夏的交通事故危害严重,上海、北京与天津的交通状况正在好转,这与客观实际符合。根据模糊聚类的结果,求得交通事故状态转移概率矩阵,利用马氏链模型可预测未来31个地区的交通事故发展趋势。     

Evaluating the impacts of global environmental assessments

There are currently no widely accepted procedures for comparing the performance of global environmental assessments (GEAs) and this may be a barrier to improving their methodology. To encourage greater self-reflection within the GEA community, it is proposed to introduce consistent evaluation approaches. Two elements from current evaluation practice are reviewed here that could be particularly useful for evaluating GEAs. The first are logic models which provide a transparent visual mapping of how activities in a GEA are intended to have impacts on policies. The second are performance metrics. It is proposed that GEAs adopt two kinds of metrics: (i) A common generic set for use in all GEAs to provide a basis for comparing the performance of GEAs, and (ii) a specific set of measureable metrics for each particular GEA derived from/linked to the generic set. Although many issues arise in applying these and other elements from evaluation theory and practice to GEAs, the potential benefits are greater comparability of GEA performance and new knowledge about how to improve them. This Short Communication is part of a Special Issue on solution-oriented GEAs.     

Testing emissions equivalency metrics against climate policy goals

The climate impacts of energy technologies are frequently assessed using equivalency metrics, which convert emissions of multiple greenhouse gases to a common scale. Numerous metrics have been proposed that incorporate, in different ways, information about the time-dependent impacts of gases. However, more focus has been placed on proposing metrics than on testing their performance in real-world use cases. Here we present a testing approach that simulates how metrics would affect the selection of energy technology portfolios that comply with a CO₂-equivalent emissions cap. Unintended radiative forcing outcomes can occur, emphasizing the need to test metrics in a practical context. We demonstrate the approach for policies designed to limit radiative forcing and discuss extensions to limits on temperature or economic impacts. Metric performance is evaluated by (i) how much actual radiative forcing overshoots the intended stabilization level and (ii) the level of energy consumption permitted. We use this testing approach to study a variety of metrics based on an estimated radiative forcing stabilization time under two climate policy goals. We find that these goal-inspired metrics, if chosen carefully, can exhibit performance improvements over the standard global warming potential (GWP) while maintaining its transparency and ease-of-use. These alternative metrics can significantly reduce the overshoot in radiative forcing observed with the GWP, at a small cost in energy consumption. Moreover, simple metrics can exhibit similar performance improvements to more complex ones.     

大清河流域社会经济发展与水资源供需能力分析

本文着重研究了大清河流域社会经济发展与水资源之间的相互关系,运用可持续发展的观点,对大清河流域的发展进行了预测,并结合预测方案提出了解决问题的建议。     

太湖流域不同管理模式的社会经济环境系统演化模拟

基于复杂自适应系统理论构建了社会经济环境系统模型,采用计算实验方法模拟分析了太湖流域在经济优先和水环境保护优先2种管理模式下的动态演化过程,得到了农业与工业经济发展水平、就业状况和水环境改善情况的演化规律.结果表明,在综合考虑社会、经济、水环境的基础上,2种管理模式均能在一定程度上实现经济和就业的增长,同时改善水环境.环境保护优先模式虽能有效保护水环境,却会牺牲部分经济发展和就业保证.不同地区在演化过程中表现出差异性,常州和湖州经济获得较快增长;苏州、上海在就业方面做出较大贡献;无锡和苏州水环境改善效果最为明显.     

浑太河流域鱼类生物完整性指数构建与应用

为了解决在不同区域和不同河流类型间等大尺度范围内F-IBI(鱼类生物完整性指数)评价方法体系的建立问题,以浑河-太子河(下称浑太河)流域为研究区域,构建符合区域性特征的生物完整性评价体系并进行应用研究. 于2014年5月对浑太河流域32个采样点的鱼类进行采样调查,根据鱼类群落特征的空间差异和浑太河流域水生态分区,将采样点分为中上游和下游区域两种类型. 通过综合栖息地和水质的标准化方法确定参照点和受损点,依据候选指标分布范围检验、敏感性分析和相关性检验,筛选出浑太河流域中上游F-IBI核心指标包括总物种数、Shannon-Wiener多样性指数、鲤形目鱼类物种数百分比、雅罗鱼亚科个体数百分比、鳅科鱼类物种数百分比、鲈形目鱼类物种数百分比、杂食性鱼类物种数百分比、肉食性鱼类物种数百分比、敏感性鱼类个体数百分比等9个指标;下游筛选出F-IBI核心指标包括总物种数、Shannon-Wiener多样性指数、鮈亚科鱼类物种数百分比、鲈形目鱼类物种数百分比、虾虎鱼科鱼类物种数百分比、中上层鱼类物种数百分比、东北特有鱼类物种数百分比、无脊椎动物食性鱼类物种数百分比、耐受性鱼类个体数百分比等9个指标. 分别提出了浑太河流域中上游和下游的参数标准化公式和健康评价标准,依此将浑太河流域健康状态划分为极好、好、一般、差和极差5个健康等级. 评价结果表明,浑太河流域健康状况整体偏差,在32个采样点中,健康状况处于差和极差的采样点占采样点总数的37.5%,一般的采样点占21.88%,仅有6.25%的采样点处于极好状态. Pearson相关性分析结果显示,F-IBI分值与电导率、ρ(BOD₅)、ρ(COD_Cr)、ρ(NH₃-N)和ρ(TN)均呈显著负相关,而与栖息地综合指数呈显著正相关,表明F-IBI可有效评估浑太河流域的健康状况.      

中国磷消费结构的变化特征及其对环境磷负荷的影响

本研究先建立物质流分析模型,分析1980～2008年期间我国磷消费结构的变化特征及其对环境磷负荷的影响,随后探讨若干社会经济因素同我国磷消费污染之间的关联性.结果表明,城市生活和农村生活的人均磷养分输入分别由0.83 kg.a-1和0.75 kg.a-1增加到1.20 kg.a-1和0.99 kg.a-1,而城市生活磷养分循环比例则由62.6%下降到15.6%;畜禽养殖和种植业的磷养分输入持续增加,但前者磷养分循环比例由67.5%下降到40.5%,后者大量磷养分蓄积在农业土壤;人口、城市化水平、种植业发展水平以及畜禽养殖业发展水平与我国磷消费污染总负荷的相关系数达到0.90以上,说明它们是我国磷消费污染的重要诱因;环境Kuznets曲线研究表明我国目前仍处于初级发展阶段,牺牲环境质量以换取经济发展.研究表明,我国磷消费体系正向线性开放的代谢结构演变,磷养分流失持续增加,环境磷负荷大大加重.     

沱江流域主要污染负荷预测及时空分布特征

耦合社会-经济因子探究工业点源和生活污染源污染负荷未来变化趋势,可为优化水环境规划和管理方案提供理论依据。选取沱江流域为研究区域,采用经济增长预测法、工业点源传统统计法、人口趋势灰色模型预测法和排污系数法分别计算了2020-2025年该区域28个县(市、区)的工业GDP值,工业点源废水排放量及主要污染负荷(COD、NH₃-N、TN、TP),农村与城镇人口及生活污染源的主要污染负荷,并利用ArcGIS技术探究了工业点源和生活污染源主要污染负荷空间分布特征。结果表明:2020-2025年,工业GDP值总体呈逐年增加趋势,而工业废水排放量总体呈逐年减少趋势,预计到2025年,流域工业GDP值将增加至2.52×10¹²元,而工业废水排放量将减少至0.64×10⁸ t。工业点源主要污染负荷表现为COD>NH₃-N>TN>TP。沱江流域总人口数与生活污染源污染负荷呈逐年增加趋势,其中城镇人口与生活污染源污染负荷呈逐年增加趋势,农村人口与生活污染源污染负荷呈逐年减少趋势,且城镇人口及生活污染源污染负荷增加量大于农村人口及生活污染源污染负荷减少量。城镇、农村生活污染源的主要污染负荷表现为COD>NH₃-N>TN>TP。工业点源和生活污染源主要污染负荷在空间上存在高度异质性。2025年,来自工业点源的主要污染负荷均呈上游较少,中、下游较多的特征;来自城市生活污染源的主要污染负荷均呈中、上游较多,下游较少的特征;来自农村生活污染源的主要污染负荷均呈中游较多,上、下游较少的特征。笔者提出耦合社会-经济因子预测流域污染负荷的方法可以推广到其他与社会经济指标相关联的流域工业点源、生活污染源污染负荷的预测研究中,以期为未来流域水环境管理与治理提供科学参考。