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КОНЦЕПТУАЛЬНАЯ ЗАПИСКА: Ценность и применение политических рекомендаций Комитета по всемирной продовольственной безопасности (КВПБ)

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    Book (stand-alone)
    Technical study
    Deep-ocean climate change impacts on habitat, fish and fisheries
    FAO Fisheries and Aquaculture Technical Paper No. 638
    2019
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    This publication presents the outcome of a meeting between the FAO/UNEP ABNJ Deep-seas and Biodiversity project and the Deep Ocean Stewardship Initiative. It focuses on the impacts of climatic changes on demersal fisheries, and the interactions of these fisheries with other species and vulnerable marine ecosystems. Regional fisheries management organizations rely on scientific information to develop advice to managers. In recent decades, climate change has been a focus largely as a unidirectional forcing over decadal timescales. However, changes can occur abruptly when critical thresholds are crossed. Moreover, distribution changes are expected as populations shift from existing to new areas. Hence, there is a need for new monitoring programmes to help scientists understand how these changes affect productivity and biodiversity. The principal cause of climate change is rising greenhouse gases and other compounds in the atmosphere that trap heat causing global warming, leading to deoxygenation and acidification in the oceans. Three-dimensional fully coupled earth system models are used to predict the extent of these changes in the deep oceans at 200–2500 m depth. Trends in changes are identified in many variables, including temperature, pH, oxygen and supply of particulate organic carbon (POC). Regional differences are identified, indicating the complexity of the predictions. The response of various fish and invertebrate species to these changes in the physical environment are analysed using hazard and suitability modelling. Predictions are made to changes in distributions of commercial species, though in practice the processes governing population abundance are poorly understood in the deep-sea environment, and predicted
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    Book (stand-alone)
    Technical book
    Data management and visualisation in response to large-scale nuclear emergencies affecting food and agriculture 2019
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    In a large-scale nuclear emergency affecting food and agriculture, the release of radionuclides to the environment can severely impact the food chain and human health. Up-to-date information of soil, water and crops are pertinent to informing decisions that prevent potentially contaminated products from reaching consumers. However, traditional management and visualisation of data are constrained in response times and decision-making accuracy as they are often not centralized and performed manually. Developments in information technology (IT) allow for Decision Support System (DSS) tools and algorithms to enhance real-time management of large volumes of data and decision-making in a spatio-temporal context. These IT support functions increase the capacity of stakeholders to focus on the most important matters at hand – ensuring food and consumer safety. This publication presents the challenges and solutions of real-time data management, geo-visualisation and decision making, as well as two case-studies of how innovative IT systems can assist in nuclear emergency response affecting food and agriculture. One of the case studies presented is by the Soil and Water Management and Crop Nutrition Laboratory of the Joint FAO/IAEA Division; the other case study by Japanese Competent Authorities in the aftermath of the Fukushima Daiichi Nuclear Power Plant accident.
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    Presentation
    Presentation
    Field application of solar energy in irrigation through country cases – Egypt, Jordan and Uganda
    Building Forward Better Initiative - Project “Strengthening natural resources management capacities to revitalise agriculture in fragile contexts”
    2020
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