78 resultados para adaptive functioning


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The Swiss Alps will experience pronounced effects of climate change due to the combination of their latitudinal positioning, altitude and unique ecosystems, placing socio-economic stresses on alpine communities, many of which rely on seasonal tourism. Studies into tourism adaptation within the Swiss Alps have so far focused on the technical adaptation options of alpine stakeholders, rather than perceptions of adaptation to climate change at the operational and community level. This article investigates attitudes to adaptation in two alpine regions within Switzerland's well-established decentralized political framework, through semi-structured qualitative interviews. Stakeholders focused almost entirely on maintaining the status quo of winter tourism, through technical or marketing measures, with mixed attitudes towards climatic impacts. A matrix based on the relative internal strengths and weaknesses, external opportunities and threats of adaptation measures (a SWOT framework) was used to assess the measures and suggest how stakeholders could capitalize on the new opportunities thrown up by climate change to create a competitive advantage. A comprehensive and collaborative planning approach is vital to enable policy makers and stakeholders to maximize opportunities, minimize the adverse effects of climate change on the local economy, and develop inclusive adaptation measures that benefit the entire region in order to create more sustainable social, economic and environmental structures.

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Species diversity can be lost through two different but potentially interacting extinction processes: demographic decline and speciation reversal through introgressive hybridization. To investigate the relative contribution of these processes, we analysed historical and contemporary data of replicate whitefish radiations from 17 pre-alpine European lakes and reconstructed changes in genetic species differentiation through time using historical samples. Here we provide evidence that species diversity evolved in response to ecological opportunity, and that eutrophication, by diminishing this opportunity, has driven extinctions through speciation reversal and demographic decline. Across the radiations, the magnitude of eutrophication explains the pattern of species loss and levels of genetic and functional distinctiveness among remaining species. We argue that extinction by speciation reversal may be more widespread than currently appreciated. Preventing such extinctions will require that conservation efforts not only target existing species but identify and protect the ecological and evolutionary processes that generate and maintain species.

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The review summarizes the recent progress that has been made in understanding the function of immunoglobulin A (IgA) in promoting a healthy mutualism with the commensal microbiota and protecting against pathogens. Although IgA is by far the most abundant antibody produced by mammals, direct experimental evidence for its function is still lacking.

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The large production of immunoglobulin (Ig)A is energetically costly. The fact that evolution retained this apparent luxury of intestinal class switch recombination to IgA within the human population strongly indicates that there must be a critical specific function of IgA for survival of the species. The function of IgA has been investigated in a series of different models that will be discussed here. While IgA has clear protective functions against toxins or in the context of intestinal viral infections, the function of IgA specific for non-pathogenic commensal bacteria remains unclear. In the context of the current literature we present a hypothesis where secretory IgA integrates as an additional layer of immune function into the continuum of intestinal CD4 T cell responses, to achieve a mutualistic relationship between the intestinal commensal microbiota and the host.

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Prediction of glycemic profile is an important task for both early recognition of hypoglycemia and enhancement of the control algorithms for optimization of insulin infusion rate. Adaptive models for glucose prediction and recognition of hypoglycemia based on statistical and artificial intelligence techniques are presented.