Monitoring,imperfect detection,and risk optimization of a Tasmanian devil insurance population

Most species are imperfectly detected during biological surveys, which creates uncertainty around their abundance or presence at a given location. Decision makers managing threatened or pest species are regularly faced with this uncertainty. Wildlife diseases can drive species to extinction; thus, managing species with disease is an important part of conservation. Devil facial tumor disease (DFTD) is one such disease that led to the listing of the Tasmanian devil (Sarcophilus harrisii) as endangered. Managers aim to maintain devils in the wild by establishing disease‐free insurance populations at isolated sites. Often a resident DFTD‐affected population must first be removed. In a successful collaboration between decision scientists and wildlife managers, we used an accessible population model to inform monitoring decisions and facilitate the establishment of an insurance population of devils on Forestier Peninsula. We used a Bayesian catch‐effort model to estimate population size of a diseased population from removal and camera trap data. We also analyzed the costs and benefits of declaring the area disease‐free prior to reintroduction and establishment of a healthy insurance population. After the monitoring session in May–June 2015, the probability that all devils had been successfully removed was close to 1, even when we accounted for a possible introduction of a devil to the site. Given this high probability and the baseline cost of declaring population absence prematurely, we found it was not cost‐effective to carry out any additional monitoring before introducing the insurance population. Considering these results within the broader context of Tasmanian devil management, managers ultimately decided to implement an additional monitoring session before the introduction. This was a conservative decision that accounted for uncertainty in model estimates and for the broader nonmonetary costs of mistakenly declaring the area disease‐free.     

Benefits of integrating complementarity into priority threat management

Conservation decision tools based on cost‐effectiveness analysis are used to assess threat management strategies for improving species persistence. These approaches rank alternative strategies by their benefit to cost ratio but may fail to identify the optimal sets of strategies to implement under limited budgets because they do not account for redundancies. We devised a multiobjective optimization approach in which the complementarity principle is applied to identify the sets of threat management strategies that protect the most species for any budget. We used our approach to prioritize threat management strategies for 53 species of conservation concern in the Pilbara, Australia. We followed a structured elicitation approach to collect information on the benefits and costs of implementing 17 different conservation strategies during a 3‐day workshop with 49 stakeholders and experts in the biodiversity, conservation, and management of the Pilbara. We compared the performance of our complementarity priority threat management approach with a current cost‐effectiveness ranking approach. A complementary set of 3 strategies: domestic herbivore management, fire management and research, and sanctuaries provided all species with >50% chance of persistence for $4.7 million/year over 20 years. Achieving the same result cost almost twice as much ($9.71 million/year) when strategies were selected by their cost‐effectiveness ranks alone. Our results show that complementarity of management benefits has the potential to double the impact of priority threat management approaches.     

边境贸易发展的环境影响预测及其调控研究——以满洲里市为例

边镜贸易作为我国作为开放的重要组成部分，进展显著。本文在概述我国边境贸易发展所产生的环境问题的基础上，以我国最大的陆边口岸－－满州里市为例，运用灰色预测，动态规划等方法探讨边境贸易与环境保护协调发展的途径。     

环境成本核算研究的进展

环境成本核算作为环境管理的基础工作，在绿色国民经济核算体系构建，在涉及环境费用效益分析，在制定适当的环境标准、环境收费等政策时发挥着重要作用。在陈述环境成本的定义和分类以及国内外环境成本核算研究过程的基础上，指出可持续发展理论、总成本理论、外部性和边际机会成本理论以及基于SEEA核算体系的环境成本计量理论是环境成本核算的四大理论支柱，并对环境成本核算方法的研究进行了总结与分析。阐明了研究队伍综合化、宏观核算微观化、核算方法科学化是环境成本核算研究的发展趋势，时空范围的处理、环境服务产出的处理、内部环保外部化处理是环境成本核算研究的难点与热点问题。     

River water quality management model using genetic algorithm

Conventional mathematical programming methods, such as linear programming, non linear programming, dynamic programming and integer programming have been used to solve the cost optimization problem for regional wastewater treatment systems. In this study, a river water quality management model was developed through the integration of a genetic algorithm (GA). This model was applied to a river system contaminated by three determined discharge sources to achieve the water quality goals and wastewater treatment cost optimization in the river basin. The genetic algorithm solution, described the treatment plant efficiency, such that the cost of wastewater treatment for the entire river basin is minimized while the water quality constraints in each reach are satisfied. This study showed that genetic algorithm can be applied for river water quality modeling studies as an alternative to the present methods.     

谈企业成本控制

本文从企业的生产成本、资金成本和管理成本等三个方面,谈到了企业在生产经过中降低成本的有效途径和方法,从而增强企业在激烈的市场环境中的竞争力,达到“增收节支”的目的.     

现代卷烟行业清洁生产审核

现代卷烟行业工艺技术成熟、自动化水平高,形成了产污较少、能耗高的行业特点。在对某卷烟厂进行的清洁生产审核中,针对行业特点,结合企业自身情况,提出并实施无、低费方案11项,中、高费方案6项。改善了车间环境,每年可节水约6万t,节电约20万kW·h,节约蒸汽约400t,减少废水排放约8万m3,节约资金514余万元,取得了良好的效益。     

富安茧丝绸清洁生产实例分析

通过对富安茧丝绸清洁生产审计的实例分析，总结出了清洁生产审计，增加了企业的经济效益，降低了生产成本，提高了产品质量，减少了污染物排放。     

我国资源开发利用中的价格问题

资源开发利用是经济学研究的一个基本问题，资源利用的价格问题在中国社会主义市场经济机制建设与发展中十分重要。在我国，卡尔·马克思的劳动价值理论是资源利用价格问题研究的基础，但需要吸收其它成功的尤其是西方的理论与实践之处。对于资源价格问题，不仅需要研究其市场因素，而且要研究其非市场因素；同时，在资源价格机制研究中，政府功能的问题也十分重要。     

京津冀地区雾霾污染生态补偿标准研究

以京津冀地区雾霾污染作为研究对象,采用京津冀地区2006—2015年雾霾污染的空间面板数据,引入大气污染物减排成本模型,比较了京津冀各地区雾霾污染治理成本高低;继而基于机会成本法,核算了京津冀地区雾霾污染生态补偿标准.结果表明:河北省雾霾治理成本显著低于北京市和天津市,由河北省承担更多的雾霾污染治理任务,能使京津冀地区雾霾污染治理成本达到最小化;在京津冀地区联合治理雾霾污染过程中,河北省因限制工业增长对其经济发展带来负面影响,因此,北京市和天津市应给予河北省相应的生态补偿.最后依据研究结论提出完善区域联防联控机制的政策建议,如成立跨区域联合治理机构,健全雾霾污染生态补偿立法,设立雾霾污染生态补偿专项基金等,以此来促进京津冀地区雾霾污染生态补偿方案顺利实施.