23,241 research outputs found

    Resilience Assessment : International Best Practice Principles

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    PURPOSE This document sets out international best-practice principles for resilience assessment being undertaken within an impact assessment (IA) of some project, plan, programme, or policy (in this context, its function may be different to that of a self-standing resilience assessment). Resilience assessment can contribute to impact assessment by defining specific disturbances that can lead to failure of natural, social, and engineered systems. The disturbance can be caused either by the proposed action, factors beyond the influence of proposed action, or combination of both. The impact assessment can consider all these factors within one coherent framework. It can identify synergies and knock-on effects that can cause potential system failures, and advise on interventions that avoid failures in the critical functions of the system BACKGROUND Resilience assessment evaluates the structure and function of a system of focus (hereafter ‘focal system’) and, in the context of an impact assessment, focuses on the effects of the proposed action on the resilience of that focal system. The focal system can include: socio-ecological, biophysical, engineering, technological, or other components. Resilience assessment should ideally examine the consequences of the proposed action in combination with internal or external factors that may collectively influence the resilience of the focal system (e.g., biophysical system change caused by global warming on engineered structures)

    Integrating Ecological and Engineering Concepts of Resilience in Microbial Communities

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    Many definitions of resilience have been proffered for natural and engineered ecosystems, but a conceptual consensus on resilience in microbial communities is still lacking. We argue that the disconnect largely results from the wide variance in microbial community complexity, which range from compositionally simple synthetic consortia to complex natural communities, and divergence between the typical practical outcomes emphasized by ecologists and engineers. Viewing microbial communities as elasto-plastic systems that undergo both recoverable and unrecoverable transitions, we argue that this gap between the engineering and ecological definitions of resilience stems from their respective emphases on elastic and plastic deformation, respectively. We propose that the two concepts may be fundamentally united around the resilience of function rather than state in microbial communities and the regularity in the relationship between environmental variation and a community\u27s functional response. Furthermore, we posit that functional resilience is an intrinsic property of microbial communities and suggest that state changes in response to environmental variation may be a key mechanism driving functional resilience in microbial communities

    Feedback and time are essential for the optimal control of computing systems

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    The performance, reliability, cost, size and energy usage of computing systems can be improved by one or more orders of magnitude by the systematic use of modern control and optimization methods. Computing systems rely on the use of feedback algorithms to schedule tasks, data and resources, but the models that are used to design these algorithms are validated using open-loop metrics. By using closed-loop metrics instead, such as the gap metric developed in the control community, it should be possible to develop improved scheduling algorithms and computing systems that have not been over-engineered. Furthermore, scheduling problems are most naturally formulated as constraint satisfaction or mathematical optimization problems, but these are seldom implemented using state of the art numerical methods, nor do they explicitly take into account the fact that the scheduling problem itself takes time to solve. This paper makes the case that recent results in real-time model predictive control, where optimization problems are solved in order to control a process that evolves in time, are likely to form the basis of scheduling algorithms of the future. We therefore outline some of the research problems and opportunities that could arise by explicitly considering feedback and time when designing optimal scheduling algorithms for computing systems

    Ensuring Urban Water Security in Water-Scarce Regions of the United States

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    On December 11-13, 2013, The Johnson Foundation at Wingspread, along with partner ReNUWit, convened experts from different parts of the country to discuss the implications of chronic and episodic water scarcity on our nation's water infrastructure -- with the goal of moving beyond the "case-by-case" conversation to one about how cities can transform their infrastructure and management strategies. The resulting report identifies key principles of water security and explores components of good strategy and innovative water supply options while building the case for transformation

    Synthetic microbial ecosystems : an exciting tool to understand and apply microbial communities

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    Many microbial ecologists have described the composition of microbial communities in a plenitude of environments, which has greatly improved our basic understanding of microorganisms and ecosystems. However, the factors and processes that influence the behaviour and functionality of an ecosystem largely remain black boxes when using conventional approaches. Therefore, synthetic microbial ecology has gained a lot of interest in the last few years. Because of their reduced complexity and increased controllability, synthetic communities are often preferred over complex communities to examine ecological theories. They limit the factors that influence the microbial community to a minimum, allowing their management and identifying specific community responses. However, besides their use for basic research, synthetic ecosystems also found their way towards different applications, like industrial fermentation and bioremediation. Here, we review why and how synthetic microbial communities are applied for research purposes and for which applications they have been and could be successfully used

    A Window of Opportunity for GMO Regulation: Achieving Food Integrity Through Cap-and-Trade Models from Climate Policy for GMO Regulation

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    GMOs are the links of our centralized food system, largely dependent on international trade. GMOs are inherently unsustainable because they reduce biodiversity, harm the environment, and empower positive feedback loops between monocultures, industrial agriculture, and biodiversity depletion, thereby jeopardizing food safety, security, and sovereignty. Conglomerates of multi-national companies, in short BigAg, shape multi-lateral food trade and flood international markets with their small array and enormous volumes of crops, while controlling large aspects of agriculture and food production world-wide. Zooming in on the trans-Atlantic dispute about GE crops, this paper uses comparative law to explore how a cap-and-trade model borrowed from climate change policy might help to decentralize the current food system, thereby potentially restoring locally-oriented agriculture and food integrity. GMOs are under-regulated in the US and international trade frameworks enable the centralization of trans-Atlantic food systems, dominated by the US. This is possible because of the free trade/biotechnology policy in the US and the agricultural exceptionalism, which are, in theory, obstacles to food integrity. By comparison, the precautionary and protectionist approaches in the EU facilitate some food integrity, albeit not enough as a result of US trade pressures. The pressures could be partially lifted if there were a cap on those crops that enable the centralization of the system, namely GE crops patented and produced by US-American BigAg conglomerates. Essentially, when GE corn, soy, wheat, rice were capped in permissible trade volumes, other non-GE crops may enter the market, thereby diversifying and decentralizing food systems, encouraging local agriculture, and opening pathways where more sustainable practices could be instituted. In an effort to contextualize the herein proposed cap-and-trade upstream model regulation of GMOs borrowed from climate change policy, this paper explains the distinctions between GE and conventionally bred crops, between agriculture and food law, between the US free trade and the EU protectionism approaches (including the bedrocks of each legal framework) to trading GE crops, as well as the inherent dangers of the widespread use of GMOs in the trans-Atlantic food system. A likely conclusion of this paper will be that a cap-and-trade model, as proposed, may take decades to be passed into law, if ever, but it also highlights that the links between preserving food integrity, mitigating climate change, and maintaining open food trade are ripe for progressive and pro-active review
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