51 resultados para Natural resources -- Remote sensing


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Despite the important role that pastoralism plays in supporting rural livelihoods, national economy and diverse ecological services, its capacity to adapt to change is facing many challenges including adverse policy, pastoral-farmer conflicts and recently, adverse climate change. The recurring conflicts between the two groupings are rather a result of a reaction by a community which has been marginalized over the years. A survey to analyze conflicts, institutional frameworks, policies, laws and regulations governing NRs utilization by pastoral and farmers was conducted in the Lake Rukwa Basin in 2008. The study noted violent conflicts and their causes, including the scarcity of NRs, poor local institutional frameworks and deeper socio-cultural aspects among pastoralists and farmers. The conflicts have become major impediments to the developmental activities in the study areas, to a degree that requires intervention. This, therefore, calls for reorganization of local institutional framework, policies, laws and regulations and participatory planning and co-management of NRs as part of conflicts management and sustainable utilization of them. Key words: Policies, Natural Resources, Conflicts, Pastoralism, Institutional frameworks

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In recent years developing countries have faced highly dynamic changes affecting their natural resource base and their potential for development. Taking into account these changes in the development context, InfoResources initiated a critical reassessment of the results of InfoResources Trends 2005 and again invited experts from around the world to assess trends that least developed countries are likely to be facing by 2025. The unanimous signal conveyed by the international experts for this assessment is alarming: The degradation of natural resources is progressing. By 2025 it will reach a point where livelihoods in least developing countries will be significantly threatened and an increasing number of agro-ecosystems will lose their capacity to deliver important services. Expected positive social trends will not suffice as leverage to reverse the degradation of natural resources and thus alleviate poverty and hunger. However, the present reassessment clearly reveals that a change in thinking and a shift in paradigms have begun to take place. However, a turnaround can only succeed if the emerging awareness of the need to reorient policy-making and the economy is followed by concrete action. It will be crucial that policies and institutions regain regulating power over greedy economic forces. This reassessment does not claim to be comprehensive. However, the present publication, which synthesises the experts’ inputs, aims at providing food for thought and initiating discussions.

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This book is an output of the Defragmenting African Resources Management (DARMA) Project. Lake Kariba and its environs are a complex transboundary ecosystem with multiple, competing and often contested resource uses. The individual chapters in the book describe the current sectoral approach to natural resource management, the interconnections, and the need to adopt an ecosystem approach. The book is an essential reading for students, researchers, academics and managers in the environmental and natural resources sectors interested in advancing the ecosystems approach in management of commons in general and Southern Africa in particular. - See more at: http://www.plaas.org.za/plaas-publication/DARMA-Kariba-LV#sthash.7giSiWiB.dpuf

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Following the collapse of the communist regime in 1989, Bulgaria has undergone dramatic political, economic and social transformations. The transition process of the past two decades was characterized by several reforms to support democratisation of the political system and the functioning of a free-market economy. Since 1992, Switzerland has been active in Bulgaria providing assistance to the transition process, with support to Sustainable Management of Natural Resources (SMNR) starting in 1995. The SMNR Capitalisation of Experiences (CapEx) took place between March and September 2007, in the context of SDC phasing out its programmes in Bulgaria by the end of 2007 due to the country’s accession to the European Union. The CapEx exercise has culminated in the identification of 17 lessons learned. In the view of the CapEx team, many of these lessons are relevant for countries that are in the process of joining the EU, facing similar democratisation challenges as Bulgaria. Overall, the Swiss SMNR projects have been effective entry points to support areas that are crucial to democratic transitions, namely participation in public goods management, decentralisation, human capacity development in research and management, and preparation for EU membership. The specificity of the Swiss support stems from an approach that combines a long-term commitment with a clear thematic focus (forestry, biodiversity conservation and organic agriculture). The multistakeholder approach and diversification of support between local, regional and national levels are also important elements that contributed to make a difference in relation to other donors supporting the Bulgarian transition. At the institutional level, there are a number of challenges where the contribution of SMNR activities was only modest, namely improving the legal framework and creating more transparency and accountability, both of which are time and resource-consuming processes. In addition, the emergence of competent and sustainable non-government organisations (NGOs) is a complex process that requires support to membership based organisations, a challenge that was hardly met in the case of SMNR. Finally, reform of government institutions involved in management of natural resources is difficult to achieve via project support only, as it requires leverage and commitment at the level of policy dialogue. At the programme management level, the CapEx team notes that corruption was not systematically addressed in SMNR projects, indicating that more attention should be given to this issue at the outset of any new project.

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Facilitation is a major force shaping the structure and diversity of plant communities in terrestrial ecosystems. Detecting positive plant–plant interactions relies on the combination of field experimentation and the demonstration of spatial association between neighboring plants. This has often restricted the study of facilitation to particular sites, limiting the development of systematic assessments of facilitation over regional and global scales. Here we explore whether the frequency of plant spatial associations detected from high-resolution remotely sensed images can be used to infer plant facilitation at the community level in drylands around the globe. We correlated the information from remotely sensed images freely available through Google Earth with detailed field assessments, and used a simple individual-based model to generate patch-size distributions using different assumptions about the type and strength of plant–plant interactions. Most of the patterns found from the remotely sensed images were more right skewed than the patterns from the null model simulating a random distribution. This suggests that the plants in the studied drylands show stronger spatial clustering than expected by chance. We found that positive plant co-occurrence, as measured in the field, was significantly related to the skewness of vegetation patch-size distribution measured using Google Earth images. Our findings suggest that the relative frequency of facilitation may be inferred from spatial pattern signals measured from remotely sensed images, since facilitation often determines positive co-occurrence among neighboring plants. They pave the road for a systematic global assessment of the role of facilitation in terrestrial ecosystems. Read More: http://www.esajournals.org/doi/10.1890/14-2358.1

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A new methodology based on combining active and passive remote sensing and simultaneous and collocated radiosounding data to study the aerosol hygroscopic growth effects on the particle optical and microphysical properties is presented. The identification of hygroscopic growth situations combines the analysis of multispectral aerosol particle backscatter coefficient and particle linear depolarization ratio with thermodynamic profiling of the atmospheric column. We analyzed the hygroscopic growth effects on aerosol properties, namely the aerosol particle backscatter coefficient and the volume concentration profiles, using data gathered at Granada EARLINET station. Two study cases, corresponding to different aerosol loads and different aerosol types, are used for illustrating the potential of this methodology. Values of the aerosol particle backscatter coefficient enhancement factors range from 2.1 ± 0.8 to 3.9 ± 1.5, in the ranges of relative humidity 60–90 and 40–83%, being similar to those previously reported in the literature. Differences in the enhancement factor are directly linked to the composition of the atmospheric aerosol. The largest value of the aerosol particle backscatter coefficient enhancement factor corresponds to the presence of sulphate and marine particles that are more affected by hygroscopic growth. On the contrary, the lowest value of the enhancement factor corresponds to an aerosol mixture containing sulphates and slight traces of mineral dust. The Hänel parameterization is applied to these case studies, obtaining results within the range of values reported in previous studies, with values of the γ exponent of 0.56 ± 0.01 (for anthropogenic particles slightly influenced by mineral dust) and 1.07 ± 0.01 (for the situation dominated by anthropogenic particles), showing the convenience of this remote sensing approach for the study of hygroscopic effects of the atmospheric aerosol under ambient unperturbed conditions. For the first time, the retrieval of the volume concentration profiles for these cases using the Lidar Radiometer Inversion Code (LIRIC) allows us to analyze the aerosol hygroscopic growth effects on aerosol volume concentration, observing a stronger increase of the fine mode volume concentration with increasing relative humidity.

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An efficient and reliable automated model that can map physical Soil and Water Conservation (SWC) structures on cultivated land was developed using very high spatial resolution imagery obtained from Google Earth and ArcGIS, ERDAS IMAGINE, and SDC Morphology Toolbox for MATLAB and statistical techniques. The model was developed using the following procedures: (1) a high-pass spatial filter algorithm was applied to detect linear features, (2) morphological processing was used to remove unwanted linear features, (3) the raster format was vectorized, (4) the vectorized linear features were split per hectare (ha) and each line was then classified according to its compass direction, and (5) the sum of all vector lengths per class of direction per ha was calculated. Finally, the direction class with the greatest length was selected from each ha to predict the physical SWC structures. The model was calibrated and validated on the Ethiopian Highlands. The model correctly mapped 80% of the existing structures. The developed model was then tested at different sites with different topography. The results show that the developed model is feasible for automated mapping of physical SWC structures. Therefore, the model is useful for predicting and mapping physical SWC structures areas across diverse areas.