The urbanization of wildlife management: Social science, conflict, and decision making

Increasing urbanization of rural landscapes has created new challenges for wildlife management. In addition to changes in the physical landscape, urbanization has also produced changes in the socio-cultural landscape. The greater distancing from direct interaction with wildlife in urbanized societies has led to the emergence of a culture whose meanings for wildlife are less grounded in the utilitarian/instrumental orientation of rural agrarian systems. Urban perspectives on wildlife are comprised of more highly individualized emotional/symbolic values. This shift creates two problems with respect to managing wildlife in an urbanizing landscape. First the increased diversity in values and meanings increases the likelihood for social conflicts regarding wildlife management while at the same time making socially acceptable resolutions more intractable. This in turn requires fundamental changes in decision-making paradigms and the research approaches used to inform decision making. Second, as remaining rural communities feel the pressures of urbanization, wildlife conflicts become conflicts not just over wildlife but conflict over larger socio-political concepts such as equity, tradition, private property rights, government control, power, and acceptable forms of knowledge. This paper examines the wildlife management implications of changes associated with increasing urbanization and employs two case studies to illustrate these issues. First a study of a controversy over urban deer management provides insights into how to map conflicting values and search for common ground in an urban culture with increasingly individualistic values for wildlife. Specifically, the analysis illustrates that common ground may, at times, be found even among people with conflicting value systems. The second case study examined a ranching community faced with predator reintroduction. This case study illustrates tensions that occur when the community of interest (i.e. a national public) is broader than the community of place in which the problem occurs. In this latter situation, the debate centers around more than just different views about the rights of animals. It also entailed the rights of individuals and communities to decide their future. The conclusion discusses the need for wildlife institutions to adapt their underlying decision making philosophy including the way science is integrated into decision making processes in light of the changes in social context caused by urbanization.     

基于DLMS/COSEM的嵌入式自动抄表集中器的设计与实现

环境污染责任保险因开展经验及历史数据不足致费率难以合理厘定，引入模糊信息粒及综合评价理论，相对传统方法，更能实现费率厘定的公平合理，保障各方利益.本文以化学原料及化学制品制造业为研究对象，首先运用模糊信息粒理论处理历史数据，克服数据模糊不确定性，得出第三者赔偿额的模糊信息粒X~；其次运用传统精算定价方法得出行业基准费率的模糊信息粒p~；最后运用模糊综合评价二级评价理论，综合追溯期、企业规模等影响因素，得出投保企业风险综合评价集B~，以此修正基准费率.     

电站余热淡化海水研究

提出了一种直接利用燃煤电站余热淡化海水装置，从理论上研究了最高海水温度对系统性能的影响，分析了最高盐水温度对装置的造水比和冷却海水流量的影响以及该系统的经济性。结果表明：该系统能耗小，淡化成本低，同时利用了大量余热，证明该装置具有较大的应用前景。     

多功能自动标签机机构设计与优化

标签机是目前工业贴标应用最广泛的机器,其自动贴标签机贴标的效率与质量,较人工有着无法比拟的优势,所以对其设计和优化有着重大的工业革命性意义。本课题就现有的自动标签机的出标机构,传送机构等机构进行了优化,如何实现自动标签机的不间歇运动和多功能贴标等功能做出了论述。     

A MULTI -OBJECTIVE FUZZY DECISION -MAKING APPROACH FOR POWER NETWORK PLANNING UNDER UNCERTAINTY

This paper proposes a multi - objective fuzzy decision - making approach for power network planning under uncertainty ,which simutaneously considers not only the least investment cost,the minimum power loss,the maximum reliability,and the least environmental impacts, but also the uncertainty about the future load growth and the capital investment availability. The validity and effectiveness of the proposed approach is verified with numerical examples.     

基于人工神经网络技术的蔬菜施肥决策研究

阐述神经网络的概念和特点，着重介绍BP神经网络并在Maflab环境下建立基于BP神经网络的施肥模型，以土壤养分（氮、磷、钾)和实际产量为模型输入，以氮肥、磷肥和钾肥的施用量为模型数输出．进行网络训练，直至获得满意的施肥模型。结合投入产出物的价格对模型功能进行扩展，按利润最大化目标进行施肥决策。     

基于模糊层次分析法的农产品加工企业风险评价研究

风险评价是风险管理的重要阶段,针对农产品加工企业特点,提出了一种基于模糊层次分析法的农产品加工企业风险评价方法。该方法初步解决了农产品加工企业风险管理中的关键问题——风险因素的识别。以某农产品加工公司为例,介绍了该方法的应用过程。     

雪莲果保健冰淇淋的生产工艺研究

通过单因素试验和正交试验,得到雪莲果保健冰淇淋的最优配方为:雪莲果浆 20%、白砂糖 10%、脱脂乳粉 5%、稀奶油 10%、鲜牛乳 45%、蛋黄粉 1%、复合稳定剂 0.5%、水 8.5%。感官评价结果显示,雪莲果冰淇淋组织细腻,具有雪莲果独特风味;营养成分分析结果显示,雪莲果冰淇淋糖(12.38%±0.06%)和脂肪(6.58%±0.22%)的含量较低,而总固形物(39.05%±0.05%)、粗蛋白(15.20%±0.18%)含量较高。此外,雪莲果浆的添加,使冰淇淋中粗纤维(0.06%±0.01%)和Vc(6.54%±0.08%)等功能性成分含量增加,提升了冰淇淋的风味特色和保健功效。雪莲果冰淇淋是一款低糖、低脂、高蛋白、高营养的保健冰淇淋,具有开发价值。     

DMDC前处理对巨峰冰葡萄酒发酵及其品质的影响

【目的】研究二甲基二碳酸盐(DMDC)杀菌技术对巨峰冰葡萄酒发酵过程及品质的影响,为DMDC应用于巨峰冰葡萄酒发酵加工提供理论依据。【方法】在糖质量浓度分别为350和400 g/L的浓缩葡萄浆醪中,分别添加250 mg/L DMDC和200 mg/L亚硫酸盐进行杀菌处理,比较2种杀菌处理方法对巨峰冰葡萄酒发酵期间可溶性固形物、总糖、还原糖、酒精度、pH、总酸、挥发酸、花色苷等理化指标及酒体感官评分的影响。【结果】处理前,当糖质量浓度分别为350和400 g/L时,其对葡萄醪的微生物菌落总数无显著影响。与处理前相比,DMDC处理能降低葡萄醪的菌落总数、霉菌和乳酸菌菌落数,优于亚硫酸盐处理;DMDC处理使葡萄醪的酵母菌菌落数降低至检测限之下,而亚硫酸盐对酵母菌只有微弱的杀菌作用。当糖质量浓度为400 g/L时,DMDC处理的可溶性固形物、总糖、还原糖质量浓度均高于亚硫酸盐处理,且二者之间差异显著;当糖质量浓度为350 g/L时,DMDC与亚硫酸盐处理之间的可溶性固形物、总糖、还原糖质量浓度无差异显著。在整个发酵过程中,当糖质量浓度分别为350和400 g/L时,DMDC处理的酒精度、pH均高于亚硫酸盐处理,DMDC处理的花色苷质量浓度低于亚硫酸盐处理,但二者总酸质量浓度差异不大。在发酵前期,各处理组的挥发酸质量浓度无显著差异(P0.05);在发酵后期,当糖质量浓度为400 g/L时,DMDC和亚硫酸盐处理的挥发酸质量浓度均较高。由感官评价结果可知,DMDC处理能改善巨峰冰葡萄酒的口感,酒体颜色呈桃红色;亚硫酸盐处理巨峰冰葡萄酒的口感较差,酒体颜色呈紫红的宝石色。【结论】用250 mg/L DMDC对葡萄浆醪进行处理可能成为一种有效控制发酵冰葡萄酒品质的杀菌前处理方式。