基于多准则决策的长江经济带国土空间脆弱性与恢复力研究

科学评估国土空间脆弱性与恢复力并解释其时空分布特征,能为国土空间开发与保护相关决策提供参考。采用综合指数法和有序加权平均（Ordered Weighted Averaging, OWA）法分别评价和模拟长江经济带市域国土空间脆弱性及国土空间恢复力,并对二者的组合情况进行综合分析。结果表明：（1）2008-2017年间长江经济带国土空间脆弱性指数有明显下降趋势,累计下降率为16.49%,脆弱性指数从西向东逐步下降;（2）长江经济带“生态优先型”“维持现状型”“开发优先型”政策情景下国土空间恢复力分别处于较高（占47.22%）、中等（占35.19%）、低恢复力（占99.07%）水平;（3）长江经济带国土空间以低脆弱性-中等恢复力、低脆弱性-较低恢复力为主导,占30.63%,国土空间整体脆弱性低,恢复力处于较低至中等水平。     

促进经济与环境协调发展的基本战略

从与国际先进大城市在环境与经济协调发展方面的比较中，分析上海目前的环境与经济协调发展的状况和面临的主要环境问题。根据上海的城市发展战略的目标和要求，提出了要遵循生态发展规律，以保持城市水资源和改善大气环境质量为重点，优先发展城市基础设施和环境建设，加快能源结构的改善和产业结构的调整，在发展经济的同时不断增加城市生存环境建设投入，以实现已确定的跨世纪的环境保护总目标，促进环境与经济的协调发展的７方面     

海南特区农村剩余劳动力资源的开发与利用

本文论述了海南特区农村剩余劳动力资源的现状及其影响劳动力资源开发利用的主要因素，提出了海南特区农村剩余劳动力资源开发与利用的途径。     

论灾害管理与经济发展的辩证关系

本文以ＡＢＣ分类法说明了减轻地震灾害的重要意义，指出了地震灾害绝对损失数额一般会随社会经济发展而逐渐增大这一客观事实。文中提出了表达地震灾害危险性、防抗灾工程投资和社会经济发展关系的一般数学模型，对灾害管理与经济发展的辩证关系进行了讨论。     

关于安全投资效益目标函数的建立和优化

通过对安全投资与事故经济损失的规律性的分析研究，确立安全投资与经济效益的内在关系，进一步探索在我国现有财力和安全水平的基础上，找准安全投资的投向，优化安全投资的合理分配，从而实现最大限度地提高企业安全生产水平和安全投资效益。为政府部门或企业提供一套经过优化、科学合理、操作性又比较强的安全投资方案，供各级领导进行安全决策，实现本部门、本单位的安全投资计划时参考     

珠江三角洲经济区污水系统设计原则

分析了珠江三角洲经济区水环境现状；阐述了城市污水分散处理与集中处理的利弊；指出污水深度处理与回用是形成良性水循环的有效途径，更是经济可持续发展的必然要求；通过对已建排水系统存在问题的分析，探讨了珠江三角洲经济开发区污水系统的设计原则，认为污水系统规划要改变传统设计方法，应方便再生水回用，由经济、技术、地理等综合因素确定排水分区、污水厂厂址与数量，选择适合各排水区域水质水量的工艺流程，预留污水厂与再生水回用管线分期发展的空间，应优先选用国产污水处理设备，尽可能维持城市河涌自然生态。     

Significant developments in sustainable development law and governance: A proposal

This article develops a practical proposal for progress on sustainable development law. It examines the prospects for an international sustainable development law to provide a framework for more effective, coherent governance. Sustainable development law is briefly defined and an analytical framework is provided. Different degrees of integration between economic, social and environmental law are described. Certain principles of international law related to sustainable development are also highlighted. It is argued that these principles may serve to guide law‐makers and jurists where social, economic and environmental law and policy conflict or overlap. Continuing, underlying questions of sustainable development governance are addressed and its global frameworks analysed. The article also focuses on the 2002 World Summit on Sustainable Development, held in Johannesburg in August‐September 2002, and its specific mandate for the United Nations Commission on Sustainable Development (UNCSD) to take related legal developments into account. The article advances a proposal: that governments, economic, social and environmental intergovernmental organizations and other actors establish a ‘network of inquiry’ with members from relevant groups, including legal and academic organizations, and other expert groups, in order to follow, research, analyse and debate legal developments in a balanced way.     

论知识经济下经济安全评估及策略

随着知识经济的来临,经济全球化趋势越来越明显,国家间的经济联系不断增强,同时也随之产生的国家间的经济竞争不断加剧,使得国家经济安全受到威胁。笔者针对当前的经济发展特征,就如何提高国家经济安全水平以增强国际竞争力探讨了影响国家经济安全的因素。从多方面的、综合性的影响经济安全因素中,找到影响经济安全的基本要素,据此从统计的可行性角度,科学地构建了评估经济安全的指标体系。所构建的指标体系对综合评价一个国家和地区的经济安全具有一定的合理性和科学性。最后,提出了有关保证经济安全的策略,以便当我国在知识经济来临之时,保证经济快速发展,能在经济全球化中不断提高自己的国际竞争力。     

Developing Metapopulation Connectivity Criteria from Genetic and Habitat Data to Recover the Endangered Mexican Wolf

Restoring connectivity between fragmented populations is an important tool for alleviating genetic threats to endangered species. Yet recovery plans typically lack quantitative criteria for ensuring such population connectivity. We demonstrate how models that integrate habitat, genetic, and demographic data can be used to develop connectivity criteria for the endangered Mexican wolf (Canis lupus baileyi), which is currently being restored to the wild from a captive population descended from 7 founders. We used population viability analysis that incorporated pedigree data to evaluate the relation between connectivity and persistence for a restored Mexican wolf metapopulation of 3 populations of equal size. Decreasing dispersal rates greatly increased extinction risk for small populations (<150–200), especially as dispersal rates dropped below 0.5 genetically effective migrants per generation. We compared observed migration rates in the Northern Rocky Mountains (NRM) wolf metapopulation to 2 habitat‐based effective distance metrics, least‐cost and resistance distance. We then used effective distance between potential primary core populations in a restored Mexican wolf metapopulation to evaluate potential dispersal rates. Although potential connectivity was lower in the Mexican wolf versus the NRM wolf metapopulation, a connectivity rate of >0.5 genetically effective migrants per generation may be achievable via natural dispersal under current landscape conditions. When sufficient data are available, these methods allow planners to move beyond general aspirational connectivity goals or rules of thumb to develop objective and measurable connectivity criteria that more effectively support species recovery. The shift from simple connectivity rules of thumb to species‐specific analyses parallels the previous shift from general minimum‐viable‐population thresholds to detailed viability modeling in endangered species recovery planning. Desarrollo de Criterios de Conectividad Metapoblacional a Partir de Datos Genéticos y de Hábitat para Recuperar al Lobo Mexicano en Peligro de Extinción     

Implications of different population model structures for management of threatened plants

Population viability analysis (PVA) is a reliable tool for ranking management options for a range of species despite parameter uncertainty. No one has yet investigated whether this holds true for model uncertainty for species with complex life histories and for responses to multiple threats. We tested whether a range of model structures yielded similar rankings of management and threat scenarios for 2 plant species with complex postfire responses. We examined 2 contrasting species from different plant functional types: an obligate seeding shrub and a facultative resprouting shrub. We exposed each to altered fire regimes and an additional, species‐specific threat. Long‐term demographic data sets were used to construct an individual‐based model (IBM), a complex stage‐based model, and a simple matrix model that subsumes all life stages into 2 or 3 stages. Agreement across models was good under some scenarios and poor under others. Results from the simple and complex matrix models were more similar to each other than to the IBM. Results were robust across models when dominant threats are considered but were less so for smaller effects. Robustness also broke down as the scenarios deviated from baseline conditions, likely the result of a number of factors related to the complexity of the species’ life history and how it was represented in a model. Although PVA can be an invaluable tool for integrating data and understanding species’ responses to threats and management strategies, this is best achieved in the context of decision support for adaptive management alongside multiple lines of evidence and expert critique of model construction and output.