79 research outputs found

    Natural capital accounting and the measurement of sustainability

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    This thesis contributes to the field of sustainable development by investigating complementary approaches to measuring the wealth of nations. The research adopts the ‘capitals theory’ of sustainability, which defines sustainability in terms of non-declining living standards and provides a clear wealth management rule: endowing future generations with the potential to be ‘at least as well off as the present’ requires that comprehensive wealth is non-declining over time. Focusing on the natural capital component of comprehensive wealth, the thesis explores how individual countries might account for resource depletion against the backdrop of rising international trade, the presence of transborder externalities, and the development of international environmental policies. Recalling of Boulding’s notion of ‘Spaceship Earth’ the thesis investigates the implications of accounting for natural capital depletion within national borders (the production-based perspective) versus adopting a more global consumption-based perspective that attributes wealth depletions along a supply chain to the country of final consumption. A 57-sector, 140-region multi-regional input-output model measures natural capital depletions from both the production and consumption perspectives, covering oil, coal, natural gas, minerals, ocean (fisheries), and forest (timber) natural capital depletions. The next paper expands the analysis to produce a new accounting perspective that incorporates carbon emissions as wealth depletions according to the damages they cause rather than the location of emissions. The discussion notes that each perspective entails policy ‘blind spots’ but that together they provide new insight into the measurement of national and global sustainability. The final paper links the thesis directly to global sustainability policy by investigating the extent to which measured progress towards the Sustainable Development Goals represents a genuinely new direction for the international development community

    Assessing the relationship between human well-being and ecosystem services: a review of frameworks

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    Focusing on the most impoverished populations, we critically review and synthesise key themes from dominant frameworks for assessing the relationship between well-being and ecosystem services in developing countries. This requires a differentiated approach to conceptualising well-being that appropriately reflects the perspectives of the poorest-those most directly dependent on ecosystem services, and their vulnerability to external and policy-driven environmental change. The frameworks analysed draw upon environmental sciences, economics, psychology, sociology, and anthropology, and were selected on the basis of their demonstrated or potential ability to illustrate the relationship between environmental change and human well-being, as well as their prevalence in real world applications. Thus, the synthesis offered here is informed by the various theoretical, methodological, and hermeneutical contributions from each field to the notion of well-being. The review highlights several key dimensions that should be considered by those interested in understanding and assessing the impact of environmental change on the well-being of the world's poorest people: the importance of interdisciplinary consideration of well-being, the need for frameworks that integrate subjective and objective aspects of well-being, and the central importance of context and relational aspects of well-being. The review is of particular interest to those engaged in the post-2015 development agenda

    Nature Loss and Sovereign Credit Ratings

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    Spatially explicit integrated modeling and economic valuation of climate driven land use change and its indirect effects

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    We present an integrated model of the direct consequences of climate change on land use, and the indirect effects of induced land use change upon the natural environment. The model predicts climate-driven shifts in the profitability of alternative uses of agricultural land. Both the direct impact of climate change and the induced shift in land use patterns will cause secondary effects on the water environment, for which agriculture is the major source of diffuse pollution. We model the impact of changes in such pollution on riverine ecosystems showing that these will be spatially heterogeneous. Moreover, we consider further knock-on effects upon the recreational benefits derived from water environments, which we assess using revealed preference methods. This analysis permits a multi-layered examination of the economic consequences of climate change, assessing the sequence of impacts from climate change through farm gross margins, land use, water quality and recreation, both at the individual and catchment scale

    Modulation of SOCS protein expression influences the interferon responsiveness of human melanoma cells

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    <p>Abstract</p> <p>Background</p> <p>Endogenously produced interferons can regulate the growth of melanoma cells and are administered exogenously as therapeutic agents to patients with advanced cancer. We investigated the role of negative regulators of interferon signaling known as suppressors of cytokine signaling (SOCS) in mediating interferon-resistance in human melanoma cells.</p> <p>Methods</p> <p>Basal and interferon-alpha (IFN-α) or interferon-gamma (IFN-γ)-induced expression of SOCS1 and SOCS3 proteins was evaluated by immunoblot analysis in a panel of n = 10 metastatic human melanoma cell lines, in human embryonic melanocytes (HEM), and radial or vertical growth phase melanoma cells. Over-expression of SOCS1 and SOCS3 proteins in melanoma cells was achieved using the PINCO retroviral vector, while siRNA were used to inhibit SOCS1 and SOCS3 expression. Tyr<sup>701</sup>-phosphorylated STAT1 (P-STAT1) was measured by intracellular flow cytometry and IFN-stimulated gene expression was measured by Real Time PCR.</p> <p>Results</p> <p>SOCS1 and SOCS3 proteins were expressed at basal levels in melanocytes and in all melanoma cell lines examined. Expression of the SOCS1 and SOCS3 proteins was also enhanced following stimulation of a subset of cell lines with IFN-α or IFN-γ. Over-expression of SOCS proteins in melanoma cell lines led to significant inhibition of Tyr<sup>701</sup>-phosphorylated STAT1 (P-STAT1) and gene expression following stimulation with IFN-α (IFIT2, OAS-1, ISG-15) or IFN-γ (IRF1). Conversely, siRNA inhibition of SOCS1 and SOCS3 expression in melanoma cells enhanced their responsiveness to interferon stimulation.</p> <p>Conclusions</p> <p>These data demonstrate that SOCS proteins are expressed in human melanoma cell lines and their modulation can influence the responsiveness of melanoma cells to IFN-α and IFN-γ.</p

    PDBe: improved findability of macromolecularstructure data in the PDB

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    © 2019 The Authors. Published by OUP. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1093/nar/gkz990The Protein Data Bank in Europe (PDBe), a founding member of the Worldwide Protein Data Bank (wwPDB), actively participates in the deposition, curation, validation, archiving and dissemination of macromolecular structure data. PDBe supports diverse research communities in their use of macromolecular structures by enriching the PDB data and by providing advanced tools and services for effective data access, visualization and analysis. This paper details the enrichment of data at PDBe, including mapping of RNA structures to Rfam, and identification of molecules that act as cofactors. PDBe has developed an advanced search facility with ∼100 data categories and sequence searches. New features have been included in the LiteMol viewer at PDBe, with updated visualization of carbohydrates and nucleic acids. Small molecules are now mapped more extensively to external databases and their visual representation has been enhanced. These advances help users to more easily find and interpret macromolecular structure data in order to solve scientific problems.The Protein Data Bank in Europe is supported by European Molecular Biology Laboratory-European Bioinformatics Institute; Wellcome Trust [104948]; Biotechnology and Biological Sciences Research Council [BB/N019172/1, BB/G022577/1, BB/J007471/1, BB/K016970/1, BB/K020013/1, BB/M013146/1, BB/M011674/1, BB/M020347/1, BB/M020428/1, BB/P024351/1]; European Union [284209]; ELIXIR and Open Targets. Funding for open access charge: EMB
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