354 research outputs found

    Resilience and food security in a food systems context

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    This open access book compiles a series of chapters written by internationally recognized experts known for their in-depth but critical views on questions of resilience and food security. The book assesses rigorously and critically the contribution of the concept of resilience in advancing our understanding and ability to design and implement development interventions in relation to food security and humanitarian crises. For this, the book departs from the narrow beaten tracks of agriculture and trade, which have influenced the mainstream debate on food security for nearly 60 years, and adopts instead a wider, more holistic perspective, framed around food systems. The foundation for this new approach is the recognition that in the current post-globalization era, the food and nutritional security of the world’s population no longer depends just on the performance of agriculture and policies on trade, but rather on the capacity of the entire (food) system to produce, process, transport and distribute safe, affordable and nutritious food for all, in ways that remain environmentally sustainable. In that context, adopting a food system perspective provides a more appropriate frame as it incites to broaden the conventional thinking and to acknowledge the systemic nature of the different processes and actors involved. This book is written for a large audience, from academics to policymakers, students to practitioners

    Realising Global Water Futures: a Summary of Progress in Delivering Solutions to Water Threats in an Era of Global Change

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    Canada First Research Excellence FundNon-Peer ReviewedOver the past six years the Global Water Futures program has produced a wide range of scientific findings and engagements with multiple types of potential users of the research. This briefing book provides a snapshot of some of the science advancements and user engagement that have taken place to date. Annual reports to the funding agency are the most up to date source of information: this compilation has been created from reports submitted by projects in 2022, representing both completed and current project work. The briefing book aims to provide quick access to information about GWF projects in a single place for GWF’s User Advisory Panel: we hope that knowing more about the research being produced will spark conversations about how to make the best use of the new knowledge in both policy and practice

    Use of geospatial techniques to improve bee farming and bee health across four main agroecological zones in Kenya.

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    Doctoral Degree. University of KwaZulu-Natal, Pietermaritzburg.Amid augmented climate change and anthropogenic influence on natural environments and agricultural systems, the global socioeconomic and environmental value of bees is undisputed. Bee products such as honey, pollen, nectar, royal jelly and to a lesser extent bee venom are important supplemental sources of income generation especially in the underdeveloped rural African areas. Moreover, bee farming is an important incentive for forest conservation, biodiversity and ecosystem services in terms of pollination services. Bee pollination services play a vital role in crop production, hence directly contribute to food and nutritional security for African smallholder farmers. Nevertheless, bee farming and bee health in general are under threat from climate change, agricultural intensification and associated habitat alteration, agrochemicals intensification, bee pests and diseases. Therefore, there is need to establish spatial distribution of bees, their food substrates, floral cycle and biotic and abiotic threats, especially bee pests. Bee pests devastate bee colonies through physical injury and as vectors of pathogens, hence causing a considerable reduction in bee colony productivity. Thus, this study sought to establish geospatial techniques that could be used to improve bee farming and bee health in Kenya. Firstly, this study aimed to determine the spatial and temporal distribution of stingless bees in Kenya using six machine learning ecological niche approaches and non-conflating variables from both bioclimatic, vegetation phenology and topographic features. All machine learning algorithms used herein performed at an ‘excellent’ level with a true skills statistics (TSS) score of up to 0.91. Secondly, the study assessed the suitability of resampled multispectral data for mapping melliferous (flowering plants that produce substance used by bees to produce honey) plants in Kenya. Bi-temporal AISA Eagle hyperspectral images, resampled to four sensors’ (i.e., WorldView-2, RapidEye, Spot- 6 and Sentinel-2) spatial and spectral resolutions, and a RF classifier were used to map melliferous plants. Melliferous plants were successfully mapped with up to 93.33% overall accuracy using WorldView-2. Furthermore, the study predicted the distribution of four main bee pests (Aethina tumida, Galleria mellonella, Oplostomus haroldi and Varroa destructor) in Kenya using the maximum entropy (MaxEnt) model and random forest (RF) classifier. The effect of seasonality on the abundance of bee pests was apparent, as indicated by the Wilcoxon rank sum test, with up to 6.35 times more pests in the wet than the dry season. Furthermore, bioclimatic variables especially precipitation contributed the most (up to 77.8%) to all bee pest predictions, while vegetation phenology provided vital information needed to sharpen the prediction models at grain level due to their higher spatial resolution and seasonal and phenological features. Moreover, topography had a moderate influence (14.3%) on the distribution of bee pests. Also, there was a positive correlation between bee pests’ abundance, habitat suitability and high altitude. Anthropogenic influence (as depicted by human footprint data) on the distribution of bee pests was relatively low (1.2%) due to the availability of a variety of bee food substrate from the mixed land use/land cover (LULC) classes, especially farmlands. Using the Pearson correlation coefficient, the prediction models for all bee pests scored at an excellent level (0.84), except for the G. mellonella prediction model, which was ranked ‘fair’ (0.55). Due to the relatively high accuracy for models developed herein to map stingless bees’ distribution, melliferous plants and bee pests’ occurrence and abundance, this study concluded that the models developed could reliably be used to indicate high suitability areas for bee farming. They could also be used to predict high bee pests risk areas for mitigation and management purposes, hence improving bee health and hive productivity

    Evaluación de la sostenibilidad ambiental de la producción citrícola en el Uruguay mediante análisis de ciclo de vida

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    Los cítricos son el cultivo frutícola más importante de Uruguay en términos de producción, superficie y aporte económico. Considerando la gran contribución de los sistemas agroalimentarios a los impactos ambientales, evaluar aquellos asociados a la producción citrícola en el país cobra gran relevancia para transitar hacia sistemas alimentarios sostenibles. En esta línea, el objetivo de la presente tesis es evaluar estos impactos ambientales mediante la utilización del análisis de ciclo de vida (ACV) y estudiar aspectos metodológicos clave de su aplicación a la producción citrícola. Se lleva a cabo una revisión crítica de la literatura de ACV de cítricos y se desarrollan cuatro casos de estudio en establecimientos representativos de la región, en concreto, la producción de limones, mandarinas y naranjas, y la producción de plantones en vivero. Los impactos se evalúan de la cuna hasta la puerta del establecimiento, usando unidades funcionales tanto de masa como de área y datos primarios correspondientes a varias temporadas de cultivo. Los principales puntos críticos ambientales detectados son las emisiones de campo producto de la aplicación de fertilizantes, la irrigación, y la producción de óxidos de cobre. Desde el punto de vista metodológico, se destaca la importancia de usar distintas unidades funcionales y de abordar la variabilidad temporal y la especificidad según el sitio de los datos de inventario, así como de usar métodos de caracterización de impactos regionalizados. Se observa que la contribución de las primeras etapas del cultivo al impacto ambiental de la producción citrícola es baja.Agencia Nacional de Investigación e InnovaciónUniversidad de la República. Comisión Académica de Posgrad

    Space Based Data Usage for Smart Farming

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    Precision Agriculture and input optimization with knowledge sharing are key for smart farming. The use of new technologies such as satellites, drones, navigation, AI/ML, big data, IoT, cloud-computing makes farming and agriculture smarter and transparent. Use of such advanced technologies, governmental officers and farmers can create evidence-based prescription maps for variable rate application of inputs, such as fertilizers, pesticides, and irrigation. Also, smart farming improve efficiency, reduce costs, simplify forecasting, streamline recording and reporting, and boost the sustainability and environmentally friendly agriculture while addressing todays needs and helping future planning. This paper is a brief overview of space-based tools that are currently available for smart farming and also importance of earth observation for smart farming with some examples on rice crop in Asia

    Climate Adaptation Modelling

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    This open access book focuses on an issue only marginally tackled by this literature: the still existing gap between adaptation science and modelling and the possibility to effectively access and exploit the information produced by policy making at different levels, international, national and local. To do so, the book presents the proceedings of a high-level expert workshop on adaptation modelling, integrated with main results from the “Study on Adaptation Modelling” (SAM-PS) commissioned by the European Commission's Directorate-General for Climate Action (DG CLIMA) and implemented by the CMCC Foundation – Euro-Mediterranean Centre on Climate Change, in collaboration with the Institute for Environmental Studies (IVM), Deltares, and Paul Watkiss Associates (PWA). What is the latest development in adaptation modelling? Which tools and information are available for adaptation assessment? How much are they practically usable by the policy community? How their uptake by practitioners can be improved? What are the major research gaps in adaptation modelling that needs to be covered in the next future? How? This book addresses these questions presenting the results of a study on adaptation modelling commissioned by the European Commission's Directorate-General for Climate Action (DG CLIMA) enriched by the outcomes of a high-level expert workshop on adaptation also part of the research. This book aspires to provide a useful support to academics, policy makers and practitioners in the field of adaptation to orient them in the expanding adaptation modelling assessment literature and suggest practical ways for its application. This book, mainly addressed to academics, policy makers and practitioners in the field of adaptation, aims to providing orientation in the large and expanding methodological/quantitative literature, presenting novelties, guiding in the practical application of adaptation assessments and suggesting lines for future research. This open access book focuses on an issue only marginally tackled by this literature: the still existing gap between adaptation science and modelling and the possibility to effectively access and exploit the information produced by policy making at different levels, international, national and local. To do so, the book presents the proceedings of a high-level expert workshop on adaptation modelling, integrated with main results from the “Study on Adaptation Modelling” (SAM-PS) commissioned by the European Commission's Directorate-General for Climate Action (DG CLIMA) and implemented by the CMCC Foundation – Euro-Mediterranean Centre on Climate Change, in collaboration with the Institute for Environmental Studies (IVM), Deltares, and Paul Watkiss Associates (PWA)

    CERNAS: Current Evolution and Research Novelty in Agricultural Sustainability

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    Climate changes pose overwhelming impacts on primary production and, consequently, on agricultural and animal farming. Additionally, at present, agriculture still depends strongly on fossil fuels both for energy and production factors ,such as synthetized inorganic fertilizers and harmful chemicals such as pesticides. The need to feed the growing world population poses many challenges. The need to reduce environmental impacts to a minimum, maintain healthy ecosystems, and improve soil microbiota are central to ensuring a promising future for coming generations. Livestock production under cover crop systems helps to alleviate compaction so that oxygen and water can sufficiently flow in the soil, add organic matter, and help hold soil in place, reducing crusting and protecting against erosion. The use of organic plant production practices allied to the control of substances used in agriculture also decisively contributes to alleviating the pressure on ecosystems. Some of the goals of this new decade are to use enhanced sustainable production methodologies to improve the input/output ratios of primary production, reduce environmental impacts, and rely on new innovative technologies. This reprint addresses original studies and reviews focused on the current evolution and research novelty in agricultural sustainability. New developments are discussed on issues related to quality of soil, natural fertilizers, or the sustainable use of land and water. Also, crop protection techniques are pivotal for sustainable food production under the challenges of the Sustainable Development Goals of the United Nations, allied to innovative weed control methodologies as a way to reduce the utilization of pesticides. The role of precision and smart agriculture is becoming more pertinent as communication technologies improve at a rapid rate. Waste management, reuse of agro-industrial residues, extension of shelf life, and use of new technologies are ways to reduce food waste, all contributing to higher sustainability in food supply chains, leading to a more rational use of natural resources. The unquestionable role of bees as pollinators and contributors to biodiversity is adjacent to characterizing beekeeping activities, which in turn contributes, together with the valorization of endemic varieties of plant foods, to the development of local communities. Finally, the short circuits and local food markets have a decisive role in the preservation and enhancement of rural economies.info:eu-repo/semantics/publishedVersio

    Plasticity of Sorghum Biomass and Inflorescence Traits in Response to Nitrogen Application

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    Nitrogen is an essential nutrient required for growth and development in plants. Insufficient nitrogen availability can reduce vegetative growth and grain yield. However, nitrogen is a costly input for farmers, is energy intensive to manufacture, and runoff of excess nitrogen fertilizer impacts water quality. Compared to its close relative, maize, sorghum has much greater resilience to nitrogen and water deficit, and heat stress, allowing sorghum to be grown with fewer inputs and on marginal land. Variation in total biomass accumulation and grain yield between sorghum accessions, as well as between nitrogen conditions, can be largely explained by differences in vegetative growth and inflorescence architecture traits. Previous genome-wide association studies (GWAS) in sorghum have identified genetic markers associated with genes known to play roles in controlling growth and development. However, these studies have typically been conducted using field trials with “optimal” nitrogen application conditions. A set of 345 diverse inbred lines from the Sorghum Association Panel (SAP) were grown under both standard nitrogen application (N+) and no nitrogen application (N-) treatments, and a range of biomass and inflorescence-related traits were phenotyped, including plant height, lower and upper stem diameter, rachis length, lower and upper rachis diameter, and primary branch number. Stem volume, an approximation of biomass, was calculated from the directly measured traits. Stem volume was, on average, 10.48% higher for genotypes in nitrogen fertilized blocks, than for genetically identical plants in no nitrogen application blocks. Within individual treatment conditions, between 58.1% and 90.7% of the total variation for the measured and calculated traits could be explained by genetic factors. Genome-wide association studies were conducted to identify genetic markers associated with these traits in order to better understand the genetic factors involved in nitrogen stress response for potential use in breeding improved sorghum varieties. Co-Advisers: Brandi Sigmon and James C. Schanbl

    CERNAS – Current Evolution and Research Novelty in Agricultural Sustainability

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    This book addresses original studies and reviews focused on the current evolution and research novelty in agricultural sustainability. New developments are discussed on issues related with quality of soil, natural fertilizers or the sustainable use of land and water. Also crop protection techniques are pivotal for the sustainable food production under the challenges of the Sustainable Development Goals of the United Nations, allied to innovative weed control methodologies, as a way to reduce the utilization of pesticides. The role of precision and smart agriculture is becoming more pertinent as the communication technologies improve at a high rate. Waste management, reuse of agro industrial residues, extension of shelf life and use of new technologies are ways to reduce food waste, all contributing to a higher sustainability of the food supply chains, leading to a more rational use of natural resources. The unquestionable role of bees as pollinators and contributors for biodiversity is subjacent to the work of characterization of beekeeping activities, which in turn contribute, together with the valorization of endemic varieties of plant foods, for the development of local communities. Finally, the short circuits and local food markets have a decisive role in the preservation and enhancement of rural economies.info:eu-repo/semantics/publishedVersio

    Soil Improving Cropping Systems for Sustainable and Profitable Farming in Europe

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    A major challenge for the future is combining both the profitability and sustainability of agriculture. The European H2020 project SoilCare aims to identify, test, and evaluate soil-improving cropping systems (SICS) which contribute to the implementation of agricultural solutions across Europe (See: https://soilcare-project.eu/en/ for the project website). The project includes 16 study sites distributed across Europe. Each study site implemented short-term experiments during the duration of the project, and most also ran long-term experiments comparing soil quality as a function of different treatments, such as soil amendments, tillage, cover crops, nutrients, and organic matter inputs. In addition, eight work-packages assess different aspects encompassing reviewing the soil-improving cropping systems, the participatory analysis of implementation and selection, methodology and analysis, upscaling at the European level, policy analysis and support, and dissemination and communication. In this way, SoilCare works on a providing a holistic approach to soil quality, spanning from biophysical to human interactions at different scales. In this Special Issue, we aim to compile scientific findings on soil-improving cropping systems (SICS) based on field experiments, including the study of policy, upscaling, and dissemination
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