92 research outputs found

    Stakeholder perspectives on ecosystem-based management of the Antarctic krill fishery

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    Information about stakeholder aspirations is a fundamental requirement for ecosystem-based management, but the detail is often elusive, and debates may focus on simplistic opposing positions. This is exemplified by the Antarctic krill fishery, which, despite a current operational catch limit equivalent to just 1% of the estimated biomass and actual annual catches much lower than this, is the subject of a high-profile debate framed around ambiguous concepts such as sustainability. Q methodology was applied to explore the detailed views of representatives of three stakeholder sectors (the fishing industry, conservation-focused non-governmental organisations (NGOs), and scientists from seven countries involved in research on the krill-based ecosystem). The analysis distinguished two clear groupings, one of which included the views of all NGO participants while the other included the views of fishing industry participants and a subset of the scientists. Key differences between the groups included the priority given to different management measures, and to continued commercial fishing. However, the results also revealed considerable overlap between viewpoints. Both groups prioritised the maintenance of ecosystem health and recognised the importance of defining management objectives. Also, neither group prioritised a decrease in catch limits. This suggests that most participants in the study agree that management should improve but do not perceive a major problem in the ecosystem's ability to support current catch levels. Cooperation to identify shared management objectives based on stakeholder aspirations for the ecosystem might enhance progress, whereas polarised discussions about preferred management measures or ambiguous concepts are likely to impede progress

    Transitory FGF treatment results in the long-lasting suppression of the proliferative response to repeated FGF stimulation.

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    FGF applied as a single growth factor to quiescent mouse fibroblasts induces a round of DNA replication, however continuous stimulation results in arrest in the G1 phase of the next cell cycle. We hypothesized that FGF stimulation induces the establishment of cell memory, which prevents the proliferative response to repeated or continuous FGF application. When a 2-5 day quiescence period was introduced between primary and repeated FGF treatments, fibroblasts failed to efficiently replicate in response to secondary FGF application. The establishment of “FGF memory” during the first FGF stimulation did not require DNA synthesis, but was dependent on the activity of FGF receptors, MEK, p38 MAPK and NFÎșB signaling, and protein synthesis. While secondary stimulation resulted in strongly decreased replication rate, we did not observe any attenuation of morphological changes, Erk1/2 phosphorylation and cyclin D1 induction. However, secondary FGF stimulation failed to induce the expression of cyclin A, which is critical for the progression from G1 to S phase. Treatment of cells with a broad range histone deacetylase inhibitor during the primary FGF stimulation rescued the proliferative response to the secondary FGF treatment suggesting that the establishment of “FGF memory” may be based on epigenetic changes. We suggest that “FGF memory” can prevent the hyperplastic response to cell damage and inflammation, which are associated with an enhanced FGF production and secretion. “FGF memory” may present a natural obstacle to the efficient application of recombinant FGFs for the treament of ulcers, ischemias and wounds

    Recent Decline in Extratropical Lower Stratospheric Ozone Attributed to Circulation Changes

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    1998-2016 ozone trends in the lower stratosphere (LS) are examined using the Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) and related NASA products. After removing biases resulting from step-changes in the MERRA-2 ozone observations, a discernible negative trend of -1.67+/-0.54 Dobson units per decade (DU/decade) is found in the 10-km layer above the tropopause between 20 deg N and 60 deg N. A weaker but statistically significant trend of -1.17+/-0.33 DU/decade exists between 50 deg S and 20 deg S. In the Tropics, a positive trend is seen in a 5-km layer above the tropopause. Analysis of an idealized tracer in a model simulation constrained by MERRA-2 meteorological fields provides strong evidence that these trends are driven by enhanced isentropic transport between the tropical (20 deg S20 deg N) and extratropical LS in the past two decades. This is the first time that a reanalysis dataset has been used to detect and attribute trends in lower stratospheric ozone. Plain Language Summary. Stratospheric ozone shields the biosphere from harmful ultraviolet radiation and affects the Earths radiative budget. Observational data show evidence that concentrations of ozone in the upper stratosphere have increased in the last 15 years. This is an expected result of the implementation of the Montreal Protocol and its amendments banning emissions of ozone depleting substances into the atmosphere. The evolution of stratospheric ozone is also impacted by climate change through its dependence on temperature and circulation, which can be different at different altitudes. These effects are less well understood. This study uses NASAs data and computer models to analyze the long-term changes in ozone since 1998. It is shown that the increase in the upper stratospheric ozone has been partially offset by a small but discernible decline of ozone concentrations in the lowermost stratosphere, in qualitative agreement with one recent study. A chemistry model simulation forced by meteorological data provides strong evidence that the primary mechanism driving this negative trend is an intensification of transport of ozone-poor air from the tropics into the extratropics, indicative of a systematic change in the lower-stratospheric circulation between 1998 and 2016

    Long-Term Ozone Variability and Trends from Reanalyses

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    Stratospheric ozone has a profound impact on radiation and chemistry over various spatial and temporal scales. The evolution of stratospheric ozone over the 21st century, however, is not well understood, especially in the lower stratosphere. Highly vertically resolved ozone data from satellite-borne limb sounders have proved to be invaluable for studying ozone in the middle and upper stratosphere but it was not until recently that these measurements were successfully incorporated in atmospheric reanalyses. Validation and comparison studies have demonstrated that the addition of observations from the Microwave Limb Sounder (MLS) on EOS (Earth Observing System) Aura greatly improved the quality of ozone fields in MERRA-2 (Modern-Era Retrospective analysis for Research and Applications, Version 2) making these assimilated data sets more useful for scientific research. In this presentation we demonstrate that multidecadal lower-stratospheric ozone variability and trends can be derived from NASA's MERRA-2 reanalysis ozone. In particular, the reanalysis ozone bias-corrected using a chemistry model simulation as a transfer function agrees very well with recently reprocessed long ozonesonde records. Ozone trends in the lower stratosphere will be discussed in the context of recent findings (Ball et al., 2018) and interpreted in connection with long-term circulation changes in the lower stratosphere. Next, we show that the use of ozone data retrieved from the next generation OMPS (Ozone Mapping Profiler Suite) instruments, including the OMPS Limb Profiler, can successfully extend the reanalyses into the future allowing comprehensive monitoring of global ozone and interpretation of its evolution during the critical period of expected ozone recovery and climate change from increasing concentration of greenhouse gases

    A Synergistic Approach for Evaluating Climate Model Output for Ecological Applications

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    Increasing concern about the impacts of climate change on ecosystems is prompting ecologists and ecosystem managers to seek reliable projections of physical drivers of change. The use of global climate models in ecology is growing, although drawing ecologically meaningful conclusions can be problematic. The expertise required to access and interpret output from climate and earth system models is hampering progress in utilizing them most effectively to determine the wider implications of climate change. To address this issue, we present a joint approach between climate scientists and ecologists that explores key challenges and opportunities for progress. As an exemplar, our focus is the Southern Ocean, notable for significant change with global implications, and on sea ice, given its crucial role in this dynamic ecosystem. We combined perspectives to evaluate the representation of sea ice in global climate models. With an emphasis on ecologically-relevant criteria (sea ice extent and seasonality) we selected a subset of eight models that reliably reproduce extant sea ice distributions. While the model subset shows a similar mean change to the full ensemble in sea ice extent (approximately 50% decline in winter and 30% decline in summer), there is a marked reduction in the range. This improved the precision of projected future sea ice distributions by approximately one third, and means they are more amenable to ecological interpretation. We conclude that careful multidisciplinary evaluation of climate models, in conjunction with ongoing modeling advances, should form an integral part of utilizing model output. © 2017 Cavanagh, Murphy, Bracegirdle, Turner, Knowland, Corney, Smith, Waluda, Johnston, Bellerby, Constable, Costa, Hofmann, Jackson, Staniland, Wolf-Gladrow, Xavier

    High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns

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    Satellite-derived spatiotemporal patterns of nitrogen oxide (NOx) emissions can improve accuracy of emission inventories to better support air quality and climate research and policy studies. In this study, we develop a new method by coupling the chemical transport Model-Independent SATellite-derived Emission estimation Algorithm for Mixed-sources (MISATEAM) with a divergence method to map high-resolution NOx emissions across US cities using TROPOspheric Monitoring Instrument (TROPOMI) tropospheric nitrogen dioxide (NO2) retrievals. The accuracy of the coupled method is validated through application to synthetic NO2 observations from the NASA-Unified Weather Research and Forecasting (NU-WRF) model, with a horizontal spatial resolution of 4 km × 4 km for 33 large and mid-size US cities. Validation reveals excellent agreement between inferred and NU-WRF-provided emission magnitudes (R= 0.99, normalized mean bias, NMB = −0.01) and a consistent spatial pattern when comparing emissions for individual grid cells (R=0.88±0.06). We then develop a TROPOMI-based database reporting annual emissions for 39 US cities at a horizontal spatial resolution of 0.05° × 0.05° from 2018 to 2021. This database demonstrates a strong correlation (R= 0.90) with the National Emission Inventory (NEI) but reveals some bias (NMB = −0.24). There are noticeable differences in the spatial patterns of emissions in some cities. Our analysis suggests that uncertainties in TROPOMI-based emissions and potential misallocation of emissions and/or missing sources in bottom-up emission inventories both contribute to these differences.</p

    Towards real-time topical detection and characterization of FDG dose infiltration prior to PET imaging

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    To dynamically detect and characterize 18F-fluorodeoxyglucose (FDG) dose infiltrations and evaluate their effects on positron emission tomography (PET) standardized uptake values (SUV) at the injection site and in control tissue

    “UNIFIED”: bridging the researcher–practitioner divide in mind, brain, and education

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    Mind, Brain, and Education (MBE) science is by definition transdisciplinary. However, the communication and collaboration between constituent disciplines needed for true transdisciplinarity remains relatively rare. Consequently, many of the potential benefits of MBE science remain unrealized for parties on all sides of the discipline. The present commentary first conducts an analysis of the current strengths, weaknesses, opportunities, and threats of transdisciplinary partnerships in MBE. A new, free, and international web platform (“UNIFIED”) is then proposed to broker relationships between researchers and teachers within schools. This website would allow users to form collaborations based on a system of tags indexing their research interests as well as practicalities such as their location. Such a website appears well placed to realize many of the opportunities, and mitigate the threats and weaknesses, of transdisciplinary MBE research. The article concludes with an appeal to interested researchers and schools to contribute to the development of the project

    A synergistic approach for evaluating climate model output for ecological applications

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    Increasing concern about the impacts of climate change on ecosystems is prompting ecologists and ecosystem managers to seek reliable projections of physical drivers of change. The use of global climate models in ecology is growing, although drawing ecologically meaningful conclusions can be problematic. The expertise required to access and interpret output from climate and earth system models is hampering progress in utilizing them most effectively to determine the wider implications of climate change. To address this issue, we present a joint approach between climate scientists and ecologists that explores key challenges and opportunities for progress. As an exemplar, our focus is the Southern Ocean, notable for significant change with global implications, and on sea ice, given its crucial role in this dynamic ecosystem. We combined perspectives to evaluate the representation of sea ice in global climate models. With an emphasis on ecologically-relevant criteria (sea ice extent and seasonality) we selected a subset of eight models that reliably reproduce extant sea ice distributions. While the model subset shows a similar mean change to the full ensemble in sea ice extent (approximately 50% decline in winter and 30% decline in summer), there is a marked reduction in the range. This improved the precision of projected future sea ice distributions by approximately one third, and means they are more amenable to ecological interpretation. We conclude that careful multidisciplinary evaluation of climate models, in conjunction with ongoing modeling advances, should form an integral part of utilizing model output

    Educational neuroscience: progress and prospects

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    Educational neuroscience is an interdisciplinary research field that seeks to translate research findings on neural mechanisms of learning to educational practice and policy, and to understand the effects of education on the brain. Neuroscience and education can interact directly, by virtue of considering the brain as a biological organ that needs to be in the optimal condition to learn (‘brain health’); or indirectly, as neuroscience shapes psychological theory and psychology influences education. In this article, we trace the origins of educational neuroscience, its main areas of research activity, and the principal challenges it faces as a translational field. We consider how a pure psychology approach that ignores neuroscience is at risk of being misleading for educators. We address the major criticisms of the field, respectively comprising a priori arguments against the relevance of neuroscience to education, reservations with the current practical operation of the field, and doubts about the viability of neuroscience methods for diagnosing disorders or predicting individual differences. We consider future prospects of the field and ethical issues it raises. Finally, we discuss the challenge of responding to the (welcome) desire of education policymakers to include neuroscience evidence in their policymaking, while ensuring recommendations do not exceed the limitations of current basic science
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