Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado,USA

While there are currently a number of irrigated land datasets available for the western United States (U.S.), there is uncertainty regarding in how they relate to each other. To help understand the characteristics of available irrigated datasets, we compared (1) the Cropland Data Layer (CDL), (2) Moderate Resolution Imaging Spectroradiometer Irrigated Agriculture Dataset (IAD), (3) Digitized Irrigated Land (DIL), and (4) Consumptive Use for Irrigation (CUI) data in Arizona and Colorado, U.S. These datasets were derived from multiple sources at various spatial resolutions and temporal scales. We found spatial and temporal trends among all of them. The datasets showed decreases in irrigated land area in Arizona during the 2000–2010 time period. The change ranges and ratios were similar in all Arizona datasets. Irrigated land in Colorado decreased in DIL and CUI but increased in IAD and CDL. The agreement within the same type of dataset during different time periods was from 60% to 80% (R² from 0.35 to 0.72) in Arizona and from 50% to 80% (R² from 0.23 to 0.68) in Colorado. DIL had the highest agreement (80%) in both states. The agreement among different datasets acquired at approximately the same time frame ranged from 51% to 63% (R² from 0.14 to 0.31) in Arizona and from 47% to 69% (R² from 0.32 to 0.40) in Colorado. The results from this study support a greater understanding of the multiresolution and multitemporal nature of these datasets for various applications.     

Thanks but no thanks: A new policy to reduce land conflict

Land conflicts in developing countries are costly both directly and through increased land degradation. An important policy goal is to create respect for borders. This often involves mandatory, expensive interventions. We propose a new policy design, which in theory promotes neighborly relations at low cost. A salient feature is the option to by-pass regulation through consensus. The key idea combines the insight that social preferences transform social dilemmas into coordination problems with the logic of forward induction. As a first, low-cost pass at empirical evaluation, we conduct an experiment among farmers in the Ethiopian highlands, a region exhibiting features typical of countries where borders are often disputed.     

Eliciting expert knowledge in conservation science

Expert knowledge is used widely in the science and practice of conservation because of the complexity of problems, relative lack of data, and the imminent nature of many conservation decisions. Expert knowledge is substantive information on a particular topic that is not widely known by others. An expert is someone who holds this knowledge and who is often deferred to in its interpretation. We refer to predictions by experts of what may happen in a particular context as expert judgments. In general, an expert-elicitation approach consists of five steps: deciding how information will be used, determining what to elicit, designing the elicitation process, performing the elicitation, and translating the elicited information into quantitative statements that can be used in a model or directly to make decisions. This last step is known as encoding. Some of the considerations in eliciting expert knowledge include determining how to work with multiple experts and how to combine multiple judgments, minimizing bias in the elicited information, and verifying the accuracy of expert information. We highlight structured elicitation techniques that, if adopted, will improve the accuracy and information content of expert judgment and ensure uncertainty is captured accurately. We suggest four aspects of an expert elicitation exercise be examined to determine its comprehensiveness and effectiveness: study design and context, elicitation design, elicitation method, and elicitation output. Just as the reliability of empirical data depends on the rigor with which it was acquired so too does that of expert knowledge.     

Tradeoffs between forestry resource and conservation values under alternate policy regimes: A spatial analysis of the western Canadian boreal plains

An important element of resource management and conservation is an understanding of the tradeoffs between marketed products, such as timber, and measures of environmental quality, such as biodiversity. In this paper, we develop an integrated economic-ecological spatial optimization model that we then apply to evaluate alternate forest policies on a 560,000 km² study region of managed boreal forest in Alberta and British Columbia, Canada. The integrated model incorporates dynamic forest sector harvesting, current levels of oil and gas sector development, coarse-filter or habitat-based old forest indicators, a set of empirical forest bird abundance models, and statistical models of the natural and current fire regimes. Using our integrated model, economic tradeoff curves, or production possibility frontiers, are developed to illustrate the cost of achieving coarse-filter targets by a set time (50 years) within a 100-year time horizon. We found levels of ecological indicators and economic returns from the timber industry could both be increased if spatial constraints imposed by the current policy environment were relaxed; other factors being equal, this implies current policy should be revised. We explore the production possibility frontier's relationship to the range of natural variation of old forest habitat, and show how this range can be used to guide choices of preferred locations along the frontier. We also show that coarse-filter constraints on the abundance of certain habitat elements are sufficient to satisfy some fine-filter objectives, expressed as the predicted abundances of various species of songbirds.     

Exploring the lay/expert divide: the attribution of responsibilities for coal ash pollution in Tuzla,Bosnia and Herzegovina

Invoking expert knowledge is a common strategy in attempts to settle environmental disputes. However, the validity of expertise is contingent upon the context in which an actor is recognised as an expert. In complex environmental conflicts the distinction between lay and expert knowledge is not always fixed a priori. However, as conflicts unfold, intervening parties tend to present their cases in ways that reinforce this distinction. This is apparent in the attribution of environmental responsibilities. This paper presents an empirical case of an environmental conflict related to land contamination due to coal ash disposal in Bosnia and Herzegovina. The analysis revealed two polar positions in the conflict: the first one, mainly held by scientists and industry representatives, invoked expert knowledge and presented a distributed approach to the attribution of responsibilities; the second one, mainly held by local residents and municipal officials, presented an experiential understanding of pollution, as lay knowledge, and attributed direct responsibilities to the local energy industry. The paper concludes that the persistence of the distinction between expert and lay knowledge is a manifestation of the social structures that underlie the conflict.     

环境治理与地方政府——以日本公害防止协定为仍

1964年,日本横滨市政府率先和企业签订公害防止协定,由此揭开了政府和企业签署协定的序幕。协定主要涉及大气污染、水质污染、噪声、振动、恶臭和损害赔偿问题。经过多年实践,公害防止协定在很大程度上解决了公害问题,由此可见地方政府在治理公害问题上的重要性。当前我国正面临严重环境问题,各级地方政府需认真学习日本的做法,不仅要转变政府职能,更要积极主动地行动,从而加快建设资源节约型、环境友好型社会的步伐。     

Compromises of Bali Roadmap

Abstract

The Bali Roadmap, as the breakthrough on inter-governmental negotiation of climate change mitigation, having brought United States on track, is still a result of compromises. The major compromises of the Bali Roadmap are centered around three issues of quantifying emission reduction targets, developing countries’ obligations as well as quantifying developed countries’ financial assistance in developing countries’ capacity building on climate change. It is found that the rationalities behind these compromises are the national interests. Due to the fact, achieving cohesion among all nations in climate change actions is very difficult. Therefore, the Bali Roadmap may lead to a tough way with distant hope. However, technology innovation and well-designed economic instruments would be helpful and supportive for further international negotiation and cooperation.     

基于矿山安全专家系统安全信息采集及特征研究

把人工智能专家系统应用到矿山安全领域,模拟专家的经验评估安全生产环境,实现矿山最大安全化管理。安全专家系统的人机界面是系统与用户沟通的桥梁。友好的人机界面信息采集,既可以提高使用者的工作效率,也可以提高输出结构的准确性。针对安全专家系统在金属非金属矿山研究较少的特点,从系统安全工程相关原理出发,引入了人工智能安全专家系统,并从总图布置单元、开拓单元、采掘单元、提升运输单元、供电通讯单元、通风单元六个方面,探讨了界面信息采集的有关理论。根据给出的人机界面信息采集流程,得到了能够最大程度表征矿山安全的信息。为专家系统推理机后续的推理工作提供了一条有效的途径,最终实现人-机交互过程智能化的目的。     

基于CBR和RBR的环境污染事故应急辅助决策专家系统

随着我国经济的高速发展,环境事故呈现多发态势,给人民的生命和财产安全带来了一定的隐患,辅助决策专家系统为用户提供一种使用简便、结果可靠的环境应急决策手段,可以提高环境事故应急处置的成功率。目前辅助决策专家系统多基于CBR或RBR推理模式,介绍了两种推理模式的优缺点,研究了如何将二者联合使用构建环境污染事故应急辅助决策专家系统。利用CBR推理模式得到与用户输入条件相近的案例,用户可参考案例中应急处置部分内容指导应急处置,同时利用RBR推理模式得到与用户输入条件相近的化学品MSDS信息以及相应的应急处理步骤以供用户参考,上述三部分内容共同构成了环境污染事故应急指南以供用户参考,提高环境污染事故的应急处理成功率。