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Hannah S. Wauchope Richard A. Fuller Danielle F. Shanahan Justine D. Shaw 《Conservation biology》2019,33(3):729-732
Article impact statement: Structured decision making can be used to identify an optimal source population for conservation introductions. 相似文献
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Cadle SH Ayala A Black KN Graze RR Koupal J Minassian F Murray HB Natarajan M Tennant CJ Lawson DR 《Journal of the Air & Waste Management Association (1995)》2008,58(1):3-11
The Coordinating Research Council, Inc. (CRC) held its 17th On-Road Vehicle Emissions Workshop in March 2007, where results of the most recent on-road vehicle emissions research were presented. We summarize ongoing work from researchers who are engaged in improving our understanding of the role and contribution of mobile sources to ambient air quality and emission inventories. Participants in the Workshop discussed efforts to improve mobile source emission models, light- and heavy-duty vehicle emissions measurements, on- and off-road emissions measurements, effects of fuels and lubricating oils on emissions, as well as emerging issues and topics for future research. 相似文献
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Margaret M. Hinrichs Thomas P. Seager Sarah J. Tracy Mark A. Hannah 《The Environmentalist》2017,37(2):144-155
Current trends validate the notion that multifaceted, multimodal interdisciplinary collaborations lead to increased research productivity in publications and citations, compared to those achieved by individual researchers. Moreover, it may be that scientific breakthroughs are increasingly achieved by interdisciplinary research teams. Nonetheless, despite the perceived importance of collaboration and its bibliometric benefits, today’s scientists are still trained to be autonomous, work individually, and encourage their graduate students to do the same—perpetuating values which impede the creation of collaborative space between disciplines. As a consequence, scientists working in teams typically report serious obstacles to collaboration. This paper builds off of recent recommendations from a 2015 National Academies report on the state of team science which emphasizes greater definition of roles, responsibility, accountability, goals, and milestones. However, these recommendations do not address the subjective, relational components of collaboration which can drive innovation and creativity. The relational side of collaboration is key to understanding the capacity and capabilities of the knowledge workers, such as scientists and engineers, who comprise interdisciplinary research teams. The authors’ recommendations, grounded in organizational communication and knowledge worker literature, include a renewed focus on the process of organizing through communication rather than focusing on organization as an outcome or consequence of teamwork, leading and cultivating team members rather than managing them, and the need to address self-driven, rather than external, motivations to engage in knowledge work. 相似文献
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Roland Barthel Roman Seidl Darla Nickel Hannah Büttner 《Regional Environmental Change》2016,16(6):1595-1611
Participatory modeling (PM) has become an essential concept in environmental impact assessment and planning in the field of water resources. In this paper, we focus on the use of PM to support the development of the integrated regional modeling system DANUBIA as a scientific concept to analyze the previously unknown impacts of global change, i.e., the combined effects of climate, demographic, economic, social and ecological change, on the Upper Danube Catchment (Germany). We use this case study to examine the specific conditions for PM in the field of complex integrated models on a regional scale. We describe the stepwise PM process and discuss the respective results, focusing on (1) the stakeholder dialogue’s contribution in supporting the development of new, complex modeling systems, particularly on a regional scale, (2) conditions of stakeholder involvement in issues related to the distant future, such as climate change impacts on regional water availability, and (3) limitations of PM and scientists’ motivation to carry out participatory research at all. We conclude that the PM process was not entirely successful in improving the scientific quality and practical applicability of the developed models because the process goals were manifold and overambitious, and the definition of the problem of “global change impacts on a regional scale” was too weak and uncertain to allow for a clear common objective of modelers and stakeholders. We claim that there is a lack of incentives for scientists, particularly natural scientists, to commit to PM activities. 相似文献
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Best management practices are often used to mitigate nutrient exports from agricultural systems. The effectiveness of these measures can vary depending on the natural attributes of the land in question (e.g., soil type, slope, and drainage class). In this paper we use a Bayesian Network to combine experiential data (expert opinion) and experimental data to compare farm-scale management for different high-rainfall cropping farms in the Hamilton region of southern Australia. In the absence of appropriate data for calibration, the network was tested against various scenarios in a predictive and in a diagnostic way. In general, the network suggests that transport factors related to total surface water (i.e., surface and near surface interflow) runoff, which are largely unrelated to Site Variables, have the biggest effect on N exports. Source factors, especially those related to fertilizer applications at planting, also appear to be important. However, the effects of fertilizer depend on when runoff occurs, and, of the major factors under management control, only the Fertilizer Rate at Sowing had a notable effect. When used in a predictive capacity, the network suggests that, compared with other scenarios, high N loads are likely when fertilizer applications at sowing and runoff coincide. In this paper we have used a Bayesian Network to describe many of the dependencies between some of the major factors affecting N exports from high rainfall cropping. This relatively simple approach has been shown to be a useful tool for comparing management practices in data-poor environments. 相似文献
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Hannah V. Uren Peta L. Dzidic Lynne D. Roberts Zoe Leviston Brian J. Bishop 《Environmental Communication: A Journal of Nature and Culture》2019,13(3):395-411
Recent research has shown that many Australians see pro-environmental behaviour as desirable and identify as being green. However when compared to other countries, Australians score poorly on pro-environmental behaviour measures, engaging mostly in tokenistic pro-environmental actions, and demonstrate low levels of concern for the environment. In this article, we examine this tension through exploring the meaning of the term sustainability to Australian participants who self-identify as pro-environmental. Twenty-six interviews were conducted and analysed using a causal layered analysis. Through the examination of participants’ environmental discourse and practices, some of the deeper socio-psychological processes influencing pro-environmental behaviour are revealed. While participants aspired to be green, their actions were bound by cultural traditions and world views that perpetuate environmental degradation. Participants struggled to define the term sustainability and held self-enhancing motives for adopting what they identify as a pro-environmental identity. These findings highlight the influence of collective cultural constructs in shaping how pro-environmental behaviours are understood and enacted. 相似文献
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In this study we investigate how thermal power plants with once-through cooling could be affected by future climate change
impacts on river water temperatures and stream flow. We introduce a model of a steam turbine power plant with once-through
cooling at a river site and simulate how its production could be constrained in scenarios ranging from a one degree to a five
degree increase of river temperature and a 10–50% decrease of stream flow. We apply the model to simulate a large nuclear
power plant in Central Europe. We calculate annual average load reductions, which can be up to 11.8%, assuming unchanged stream
flow, which leads to average annual income losses of up to 80 million €. Considering simultaneous changes in stream flow will
exacerbate the problem and may increase average annual costs to 111 million € in a worst-case scenario. The model demonstrates
that power generation could be severely constrained by typical climate impacts, such as increasing river temperatures and
decreasing stream flow. 相似文献