917 resultados para Local linearization approach


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Policies and actions that come from higher scale structures, such as international bodies and national governments, are not always compatible with the realities and perspectives of smaller scale units including indigenous communities. Yet, it is at this local social-ecological scale that mechanisms and solutions for dealing with unpredictability and change can be increasingly seen emerging from across the world. Although there is a large body of knowledge specifying the conditions necessary to promote local governance of natural resources, there is a parallel need to develop practical methods for operationalizing the evaluation of local social-ecological systems. In this paper, we report on a systemic, participatory, and visual approach for engaging local communities in an exploration of their own social-ecological system. Working with indigenous communities of the North Rupununi, Guyana, this involved using participatory video and photography within a system viability framework to enable local participants to analyze their own situation by defining indicators of successful strategies that were meaningful to them. Participatory multicriteria analysis was then used to arrive at a short list of best practice strategies. We present six best practices and show how they are intimately linked through the themes of indigenous knowledge, local governance and values, and partnerships and networks. We highlight how developing shared narratives of community owned solutions can help communities to plan governance and management of land and resource systems, while reinforcing sustainable practices by discussing and showcasing them within communities, and by engendering a sense of pride in local solutions.

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Jatropha-based biofuels have undergone a rapid boom-and-bust cycle in southern Africa. Despite strong initial support by governments, donors, and the private sector, there is a lack of empirical studies that compare the environmental and socioeconomic impacts of Jatropha’s two dominant modes of production: large plantations and smallholder-based projects. We apply a rapid ecosystem services assessment approach to understand the impact of two Jatropha projects that are still operational despite widespread project collapse across southern Africa: a smallholder-based project (BERL, Malawi) and a large plantation (Niqel, Mozambique). Our study focuses on changes in provisioning ecosystem services such as biofuel feedstock, food, and woodland products that can have important effects on human well-being locally. Qualitative information is provided for other regulating and cultural ecosystem services. Although at this stage no impact is tremendously positive or negative, both projects show some signs of viability and local poverty alleviation potential. However, their long-term sustainability is not guaranteed given low yields, uncertain markets, and some prevailing management practices.

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Tackling societal and environmental challenges requires new approaches that connect top-down global oversight with bottom-up subnational knowledge. We present a novel framework for participatory development of spatially explicit scenarios at national scale that model socioeconomic and environmental dynamics by reconciling local stakeholder perspectives and national spatial data. We illustrate results generated by this approach and evaluate its potential to contribute to a greater understanding of the relationship between development pathways and sustainability. Using the lens of land use and land cover changes, and engaging 240 stakeholders representing subnational (seven forest management zones) and the national level, we applied the framework to assess alternative development strategies in the Tanzania mainland to the year 2025, under either a business as usual or a green development scenario. In the business as usual scenario, no productivity gain is expected, cultivated land expands by ~ 2% per year (up to 88,808 km²), with large impacts on woodlands and wetlands. Despite legal protection, encroachment of natural forest occurs along reserve borders. Additional wood demand leads to degradation, i.e., loss of tree cover and biomass, up to 80,426 km² of wooded land. The alternative green economy scenario envisages decreasing degradation and deforestation with increasing productivity (+10%) and implementation of payment for ecosystem service schemes. In this scenario, cropland expands by 44,132 km² and the additional degradation is limited to 35,778 km². This scenario development framework captures perspectives and knowledge across a diverse range of stakeholders and regions. Although further effort is required to extend its applicability, improve users’ equity, and reduce costs the resulting spatial outputs can be used to inform national level planning and policy implementation associated with sustainable development, especially the REDD+ climate mitigation strategy.

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Reindeer herding is an emblematic livelihood for Northern Finland, culturally important for local people and valuable in tourism marketing. We examine the livelihood resilience of Finnish reindeer herding by narrowing the focus of general resilience on social-ecological systems (SESs) to a specific livelihood while also acknowledging wider contexts in which reindeer herding is embedded. The questions for specified resilience can be combined with the applied DPSIR approach (Drivers; Pressures: resilience to what; State: resilience of what; Impacts: resilience for whom; Responses: resilience by whom and how). This paper is based on a synthesis of the authors’ extensive anthropological fieldwork on reindeer herding and other land uses in Northern Finland. Our objective is to synthesize various opportunities and challenges that underpin the resilience of reindeer herding as a viable livelihood. The DPSIR approach, applied here as a three step procedure, helps focus the analysis on different components of SES and their dynamic interactions. First, various land use-related DPSIR factors and their relations (synergies and trade-offs) to reindeer herding are mapped. Second, detailed DPSIR factors underpinning the resilience of reindeer herding are identified. Third, examples of interrelations between DPSIR factors are explored, revealing the key dynamics between Pressures, State, Impacts, and Responses related to the livelihood resilience of reindeer herding. In the Discussion section, we recommend that future applications of the DPSIR approach in examining livelihood resilience should (1) address cumulative pressures, (2) consider the state dimension as more tuned toward the social side of SES, (3) assess both the negative and positive impacts of environmental change on the examined livelihood by a combination of science led top-down and participatory bottom-up approaches, and (4) examine and propose governance solutions as well as local adaptations by reindeer herders as equally relevant responses to enhance livelihood resilience.

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In the vein of the "Education for All" campaign to promote access to education, a wave of curriculum revision along the competency-based approach has swept francophone countries in sub-Sahara Africa, thus Benin. The current study documents local actors' various interactions with the curricular reform in the course of its implementation. Secondary data supplemented with qualitative research techniques such as semi-structured interviews with teachers, and focus group discussions with parents enable to relate the patterns of change, the challenges and resistance to change. The actors spectrum generated illustrates advocacy on one hand and resistance on the other. Advocacy of local actors reflects the global optimistic discourse on education and resistance is favoured by disappointing policy outcomes as well as contextual constraints. (DIPF/Orig.)

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Report from the Iowa History Advisory Council on the following goals related to the teaching of Iowa history: Identify the current status of the teaching of Iowa history and the resources available regarding K-12 Iowa history instruction. Identify current materials that are dedicated to the teaching of Iowa history at the K-12 level. Study how other states and organizations implement state and local history. Study best practices for the teaching and learning of state and local history. Develop appropriate academic standards related to Iowa history. Provide recommendations to advance the study of Iowa history at the K-12 level.

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Acute pulmonary disorders are commonplace within the athletic population, with exercise induced bronchoconstriction (EIB), and vocal cord dysfunction (VCD) common diagnoses. VCD is a condition that causes the adduction of the vocal folds during inhalation, causing obstruction at the larynx and thereby a severely impaired sporting performance. VCD can be brought on by laryngeal irritants, emotional and psychological stress and asthma. The gold standard of treatment for VCD centres on an interdisciplinary approach from specialists that often include a respiratory consultant, speech and language therapist (SLT) and a psychologist. The present case study details the interdisciplinary approach to the treatment of an elite female swimmer with VCD with an intervention programme that lasted nine weeks, instigated by a local general practitioner (G.P.) who chose to engage a Sport Psychology Consultant (SPC) due to the sport-specific nature of the psychological stress experienced by the individual. The steps involved in the design of the sport psychology interventions are outlined and the relationship of those interventions to the work of the other specialists is discussed. The 9 week intervention programme was aimed at reducing perfectionist tendencies and competitive state anxiety using a combination of cognitive behavioural therapy (CBT), goal-setting and imagery. Overall, the treatment programme was deemed a success as perfectionism and competitive state anxiety levels reduced over time along with the frequency of VCD occurrence. This case study demonstrates the breadth of roles that can be undertaken by a SPC and raises awareness of a complex respiratory disorder that is not yet fully understood.

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The Green Deal (GD) was launched in 2013 by the UK Government as a market-led scheme to encourage uptake of energy efficiency measures in the UK and create green sector jobs. The scheme closed in July 2015 after 30 months due to government concerns over low uptake and industry standards but additional factors potentially contributed to its failure such as poor scheme design and lack of understanding of the customer and supply chain journey. We explore the role of key delivery agents of GD services, specifically SMEs, and we use the LoCal-Net project as a case study to examine the use of networks to identify and reduce barriers to SME market engagement. We find that SMEs experienced multiple barriers to interaction with the GD such as lack of access to information, training, and confusion over delivery of the scheme but benefited from interaction with the network to access information, improve understanding of the scheme, increasing networking opportunities and forming new business models and partnerships to reduce risk. The importance of SMEs as delivery agents and their role in the design of market-led schemes such as the GD are discussed with recommendations for improving SME engagement in green sector initiatives.

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A qualitative social and gender analysis was carried out in June 2015 in Luwingu and Mbala Districts in Northern Province, Zambia. The research explored the norms and power relations at various institutional levels that constrain certain social groups from benefiting from programmatic investments aimed at improving livelihoods, health status, and food and nutrition security within the Irish Aid Local Development Programme (IALDP). This technical paper provides a summary of the research findings, lessons learned and suggests options for action the IALDP could consider to help bring about gender transformative change in the lives and livelihoods of poor and vulnerable people.

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Chemical contamination levels and stable isotope ratios provide integrated information about contaminant exposure, trophic position and also biological and environmental influences on marine organisms. By combining these approaches with otolith shape analyses, the aim of the present study was to document the spatial variability of Hg and PCB contamination of the European hake (Merluccius merluccius) in the French Mediterranean, hypothesizing that local contaminant sources, environmental conditions and biological specificities lead to site-specific contamination patterns. High Hg concentrations discriminated Corsica (average: 1.36 ± 0.80 μg g− 1 dm) from the Gulf of Lions (average values < 0.5 μg g− 1 dm), where Rhône River input caused high PCB burdens. CB 153 average concentrations ranged between 4.00 ± 0.64 and 18.39 ± 12.38 ng g− 1 dm in the Gulf of Lions, whatever the sex of the individuals, whereas the highest values in Corsica were 6.75 ± 4.22 ng g− 1 dm. Otolith shape discriminated juveniles and adults, due to their different habitats. The use of combined ecotracers was revealed as a powerful tool to discriminate between fish populations at large and small spatial scale, and to enable understanding of the environmental and biological influences on contamination patterns.

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This research aimed to explore the privileging of growth and its influence on planning in England. The research examined two contrasting case studies: Middlesbrough Borough Council and Cambridge City Council. The analysis of growth privileging is rooted within a constructionist ontology which argues that planning is about the way in which people construct value relative to the function of land. This perspective enables the research to position growth privileging as a social construction; a particular mental frame for understanding and analyzing place based challenges and an approach which has been increasingly absorbed by the UK planning community. Through interviews with a range of planning actors, the first part of the research examined the state of planning in the current political and economic context and the influence that a privileging of growth has on planning. The second part of the research investigated the merits and feasibility of the capabilities approach as an alternative mental frame for planning, an approach developed through the work of Amartya Sen and Martha Nussbaum. The research results disaggregate the concept of economic growth, based on the responses of interviewees and conclude that it is characterized by homogeneity. Growth is valued, not only because of its economic role, for example, supporting jobs and income but its potential in creating diversity, enriching culture and precipitating transformative change. Pursuing growth as an objective has a range of influences upon planning. In particular, it supports a utilitarian framework for decision-making which values spatial decisions on their ability to support aggregate economic growth. The research demonstrates the feasibility and merits of the capabilities approach as a means with which to better understand the relationship between planning and human flourishing. Based on this analysis, the research proposes that the capabilities approach can provide an alternative ‘mental frame’ for planning which privileges human flourishing as the primary objective or ‘final end’ instead of economic growth.

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One of the most significant research topics in computer vision is object detection. Most of the reported object detection results localise the detected object within a bounding box, but do not explicitly label the edge contours of the object. Since object contours provide a fundamental diagnostic of object shape, some researchers have initiated work on linear contour feature representations for object detection and localisation. However, linear contour feature-based localisation is highly dependent on the performance of linear contour detection within natural images, and this can be perturbed significantly by a cluttered background. In addition, the conventional approach to achieving rotation-invariant features is to rotate the feature receptive field to align with the local dominant orientation before computing the feature representation. Grid resampling after rotation adds extra computational cost and increases the total time consumption for computing the feature descriptor. Though it is not an expensive process if using current computers, it is appreciated that if each step of the implementation is faster to compute especially when the number of local features is increasing and the application is implemented on resource limited ”smart devices”, such as mobile phones, in real-time. Motivated by the above issues, a 2D object localisation system is proposed in this thesis that matches features of edge contour points, which is an alternative method that takes advantage of the shape information for object localisation. This is inspired by edge contour points comprising the basic components of shape contours. In addition, edge point detection is usually simpler to achieve than linear edge contour detection. Therefore, the proposed localization system could avoid the need for linear contour detection and reduce the pathological disruption from the image background. Moreover, since natural images usually comprise many more edge contour points than interest points (i.e. corner points), we also propose new methods to generate rotation-invariant local feature descriptors without pre-rotating the feature receptive field to improve the computational efficiency of the whole system. In detail, the 2D object localisation system is achieved by matching edge contour points features in a constrained search area based on the initial pose-estimate produced by a prior object detection process. The local feature descriptor obtains rotation invariance by making use of rotational symmetry of the hexagonal structure. Therefore, a set of local feature descriptors is proposed based on the hierarchically hexagonal grouping structure. Ultimately, the 2D object localisation system achieves a very promising performance based on matching the proposed features of edge contour points with the mean correct labelling rate of the edge contour points 0.8654 and the mean false labelling rate 0.0314 applied on the data from Amsterdam Library of Object Images (ALOI). Furthermore, the proposed descriptors are evaluated by comparing to the state-of-the-art descriptors and achieve competitive performances in terms of pose estimate with around half-pixel pose error.

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Social innovation is recognized as an important driver of growth and social value creation. Social innovative strategies are often pursued at the local level, by (social) organizations which have a more comprehensive knowledge of the complex social problems that a specific community is facing. The objective of the present study is to analyse the extent to which innovative social ventures are able to contribute to local development. By means of a qualitative approach, based on the case study method, we attempt to illustrate the innovative strategies conceived on the ground by a social venture specifically created to foster the local development of its inhabitants. The results shows that social innovation is a viable strategy to revitalize the economic growth of a region, through the creation of local employment on the basis of village’s traditional activities that are redefined in a new and competitive way. However, to be successful the strategy demands the deep knowledge of existing social problems as well as the availability of endogenous local resources and capabilities that could be used by social entrepreneurs. Therefore, social innovation ensures that local development and social cohesion are achieved in a sustainable way, at the same time that cultural and environmental heritage are also preserved.

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A educação em ciências com orientação Ciência-Tecnologia-Sociedade (CTS) centra-se no reconhecimento da capacidade da ciência para o desenvolvimento de uma sociedade assente nos valores da democracia. Esta orientação implica mais do que ensino de conteúdos estritamente disciplinares. O património artístico construído pode ser fonte inspiradora para o enriquecimento curricular proporcionando aprendizagens ativas e integradas. Foi nesta linha que definimos como objetivo desenvolver, implementar e validar atividades e recursos que articulam as aprendizagens na escola e no Museu Cargaleiro (Castelo Branco), na educação em ciências no 1º Ciclo do Ensino Básico (1º CEB). A investigação, com uma metodologia qualitativa, desenvolveu-se no âmbito do Estágio, numa turma de 4.ºano, inserindo-se na problemática da interação entre contextos de educação formal e não formal para a promoção da aprendizagem através da exploração de conexões das ciências com a arte. Para tal, planificámos uma visita de estudo ao Museu que contemplou a construção de recursos mediante o planeamento das três fases articuladas – antes, durante e após a visita. Da sequência didática, evidenciamos uma atividade de trabalho experimental que decorreu na fase após a visita, a fim de articular os conhecimentos adquiridos nas duas fases anteriores reforçando a compreensão dos fenómenos da luz e da cor, através da arte, envolvendo conhecimento da realidade próxima. Os resultados evidenciam que a aprendizagem dos alunos a nível de atitudes e capacidades e a nível cognitivo, avaliadas através de múltiplos registos, foi muito positiva.

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This paper proposes a new memetic evolutionary algorithm to achieve explicit learning in rule-based nurse rostering, which involves applying a set of heuristic rules for each nurse's assignment. The main framework of the algorithm is an estimation of distribution algorithm, in which an ant-miner methodology improves the individual solutions produced in each generation. Unlike our previous work (where learning is implicit), the learning in the memetic estimation of distribution algorithm is explicit, i.e. we are able to identify building blocks directly. The overall approach learns by building a probabilistic model, i.e. an estimation of the probability distribution of individual nurse-rule pairs that are used to construct schedules. The local search processor (i.e. the ant-miner) reinforces nurse-rule pairs that receive higher rewards. A challenging real world nurse rostering problem is used as the test problem. Computational results show that the proposed approach outperforms most existing approaches. It is suggested that the learning methodologies suggested in this paper may be applied to other scheduling problems where schedules are built systematically according to specific rules.