Approaches and terminology for causal analysis in land systems science

Research into land and social-ecological systems science could benefit from improved clarity in the terminology used for causal analysis and a structured way to make causal inferences. Here I identify two aspects of causality, i.e. causal effects and causal mechanisms, and discuss explanation in historical sciences. I then propose definitions for the major terms used for causal relations, including driver, (spatial) determinant, location and contextual factor, proximate and underlying factors. Finally, I discuss the contribution of various operational approaches, including time series and counterfactual approaches for assessing causal effects and process-tracing approaches for establishing causal mechanisms. Having a coherent concept of causality, agreeing on a precise vocabulary and harnessing our tools with the clear purpose of establishing both causal effects and causal mechanisms should strengthen causal explanations for single cases, for drawing policy-relevant lessons and for theoretical development in relation to land and, more broadly, social-ecological systems processes.     

冰对斜体结构作用的二维和三维力学模型分析

通常情况下，作用在斜体结构表面的冰力小于垂直结构，因此斜体结构成为有冰海区海洋结构的优选结构，冰对斜体结构作用力学机制的分析是近些年来国际上研究的热点问题。本文运用简单的二维理论及较为复杂的三维理论，依据辽东湾环境条件，采用计算与作图分析的手段，对摩擦系数、坡角、冰强度及冰厚如何影响作用在斜体结构上的水平冰力进行了讨论，并验证了相应结论     

Sustainability and comanagement of subsistence hunting in an indigenous reserve in Guyana

Although hunting is a key component of subsistence strategies of many Amazonians, it is also one of the greatest threats to wildlife. Because indigenous reserves comprise over 20% of Amazonia, effective conservation often requires that conservation professionals work closely with indigenous groups to manage resource use. We used hunter‐generated harvesting data in spatially explicit biodemographic models to assess the sustainability of subsistence hunting of indigenous Waiwai in Guyana. We collected data through a hunter self‐monitoring program, systematic follows of hunters, and semistructured interviews. We used these data to predict future densities of 2 indicator species, spider monkeys (Ateles paniscus) and bearded sakis (Chiropotes sagulatus), under different scenarios of human population expansion and changing hunting technology. We used encounter rates from transect surveys and hunter catch‐per‐unit effort (CPUE) to validate model predictions. Paca (Cuniculus paca) (198 /year), Currosaw (Crax alector) (168), and spider monkey (117) were the most frequently harvested species. Predicted densities of spider monkeys were statistically indistinguishable from empirically derived transect data (Kolmogorov–Smirnov D = 0.67, p = 0.759) and CPUE (D = 0.32, p = 1.000), demonstrating the robustness of model predictions. Ateles paniscus and C. sagulatus were predicted to be extirpated from <13% of the Waiwai reserve in 20 years, even under the most intensive hunting scenarios. Our results suggest Waiwai hunting is currently sustainable, primarily due to their low population density and use of bow and arrow. Continual monitoring is necessary, however, particularly if human population increases are accompanied by a switch to shotgun‐only hunting. We suggest that hunter self‐monitoring and biodemographic modeling can be used effectively in a comanagement approach in which indigenous parabiologists continuously provide hunting data that is then used to update model parameters and validate model predictions.     

Applying network theory to prioritize multispecies habitat networks that are robust to climate and land‐use change

Designing connected landscapes is among the most widespread strategies for achieving biodiversity conservation targets. The challenge lies in simultaneously satisfying the connectivity needs of multiple species at multiple spatial scales under uncertain climate and land‐use change. To evaluate the contribution of remnant habitat fragments to the connectivity of regional habitat networks, we developed a method to integrate uncertainty in climate and land‐use change projections with the latest developments in network‐connectivity research and spatial, multipurpose conservation prioritization. We used land‐use change simulations to explore robustness of species’ habitat networks to alternative development scenarios. We applied our method to 14 vertebrate focal species of periurban Montreal, Canada. Accounting for connectivity in spatial prioritization strongly modified conservation priorities and the modified priorities were robust to uncertain climate change. Setting conservation priorities based on habitat quality and connectivity maintained a large proportion of the region's connectivity, despite anticipated habitat loss due to climate and land‐use change. The application of connectivity criteria alongside habitat‐quality criteria for protected‐area design was efficient with respect to the amount of area that needs protection and did not necessarily amplify trade‐offs among conservation criteria. Our approach and results are being applied in and around Montreal and are well suited to the design of ecological networks and green infrastructure for the conservation of biodiversity and ecosystem services in other regions, in particular regions around large cities, where connectivity is critically low.     

冲突分析理论方法及其在环境管理中的实例研究

对冲突分析的基本概念和原理做了简要介绍,以环境规划管理的的业务为背景,指出冲突问题的广泛存在和研究冲突分析的必要性,并就＂污染集中治理的投资分摊问题＂进行深入地探讨,提出了5种协商解,通过分析比较,推荐＂不次于N－1方合作收益的协商解＂作为一般问题的解,对于同情弱势方的仲裁者,则推荐＂以不合作为现状点的基于满意度的协商解＂。     

活性炭纤维对水中酚类化合物的吸附特性

研究了活性炭纤维(actived carbon fiber,ACF)对模拟废水中苯酚、对氯苯酚、对硝基苯酚的吸附特性.采用扫描电子显微镜(SEM)对ACF的表面结构进行了表征.通过静态吸附试验,采用吸附热力学探讨了ACF对苯酚、对氯苯酚、对硝基苯酚模拟废水的机制,计算了有关的热力学函数.结果表明,ACF对它们的吸附速率很快,在酸性条件下吸附效果较好,相同条件下,去除率是苯酚(87%)<对氯苯酚(96%)<对硝基苯酚(99%).ACF对这3种物质的吸附都是自发的放热反应,属于物理吸附.吸附等温线能用Dubinin-Radushkevieh方程较好地拟合.     

流域水电开发环境影响后评价实践与思考

环境影响后评价必将是未来环境影响评价领导另一新的研究课题,而目前尚未出台相关规范导则。本文根据流域环境影响后评价的工作实践,明确提出开展流域梯级水电开发环境影响后评价的理论框架和评价思路,供国内重点流域梯级水电开发开展环境影响后评价提供经验和参考。     

新疆D矿田金矿资源定量评价

本文在建立D矿田找矿信息层次模型基础上,确定矿田统计单元划分和地质变量提取的赋值原则,将该矿田划分出466个统计单元,提取25个地质变量并进行二态赋值,而后应用数量化理论Ⅲ。特征分析法及勃尔法等方法,建立了矿田金矿资源定量评价模型,定位预测了45个勘探靶区。     

船舶溢油应急反应人的可靠性分析研究

为减小船舶溢油事故应急反应人员失误概率,提升应急处置效果,在对应急人员可靠性主要影响因素识别的基础上,利用模糊贝叶斯网络(BN)建立船舶溢油应急人的可靠性分析(HRA)模型,将应急反应流程抽象为可进行概率推算的BN,实现单个应急任务和全过程人的可靠性的量化评估,并依据该模型对一起船舶溢油事故进行实例研究。结果表明,首先模糊集值专家评估较好地解决应急人员可靠性情境依赖性强,难以量化评估的问题;其次,BN卓越的概率推理性能实现由单个应急任务向全过程人的可靠性的推算;最后得到应急反应人的可靠性主要取决于关键应急任务的完成情况和相关情境因素的影响。     

具有危险源性质的复杂系统安全行为演化研究

为解决具有危险源性质的复杂社会技术系统安全行为演化动力机制问题,针对系统生命周期长、影响因素多的特点,以日本福岛核泄漏事故为例,创建扩展型功能共振模型,用于描述系统内安全事故影响因素的作用过程。而后将系统相关主体分为实施方、业主方和第三方共3类,运用演化博弈方法深入研究发现,三方所承担的安全执行成本、安全处罚成本及事故成本之间的数量关系变化是系统安全行为演化发展的动力,3类成本失衡引发的监管机制失效是导致此次核泄漏事故的根源,并据此提出保持政府独立性和权威性、限制业主行为、建立项目责任主体终生追溯机制和采用立体处罚方式的建议。