940 resultados para Global environment
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Objetivos Mediante un estudio descriptivo transversal, establecer la presencia de una relación entre los niveles de exposición a plaguicidas con la presencia de hallazgos clínicos neurológicos periféricos en personas expuestas ocupacionalmente a estos. Resultados La muestra poblacional fue de 59 trabajadores, en el área rural del municipio del Espinal, Tolima. El 52% de la población refirió usar organofosforados, 32 % carbamatos, 16% organoclorados, y 66% otros grupos de plaguicidas. Los niveles sanguíneos de carbamatos estuvieron presentes en el 7% de la población, organofosforados en el 66% y organoclorados en el 100%. En el 42% de la población se estableció sospecha de neuropatía a partir de los síntomas y en el 92% a partir de los signos. Se estableció asociación estadísticamente significativa entre los niveles sanguíneos de determinados organoclorados con la sospecha de neuropatía periférica a partir de síntomas; la presencia de sensación de pérdida de la fuerza en extremidades y la presencia de alteraciones en los reflejos osteotendinosos. Conclusiones El presente estudio permitió identificar los plaguicidas a los cuales está expuesta la población agrícola del municipio del Espinal así como corrobora el efecto de bioacumulación y biomagnificación de los organoclorados. Adicionalmente, se detectó la presencia de hallazgos sugestivos de compromiso neurológico periférico, con asociaciones significativas entre ciertas anormalidades y determinados organoclorados. Este estudio es una aproximación a la relación entre la exposición a plaguicidas de la población agrícola de la zona rural del municipio del Espinal con la secuelas neurológicos periféricas asociadas a esta.
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Este trabajo de investigación analiza la importancia de la cooperación internacional para la gestión de biodiversidad entregada por el Global Environmental Facilty-GEF, para la conservación y uso sostenible de la biodiversidad en la cuenca Andino-amazónica. Esto a través del estudio de los proyectos de alcance regional financiados a dos instituciones subregionales, el primero, “Estrategia Regional para la Conservación y Uso Sostenible de Recursos en el Amazonas” perteneciente al Tratado de Cooperación Amazónica-TCA, y el segundo, “Facilitación de Financiamiento para Negocios de Biodiversidad y Apoyo al Desarrollo de Actividades de Mercado en la Región Andina” presentado por la Banco de Desarrollo de América Latina-CAF.
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No es un misterio que la cooperación internacional está siendo ampliamente revisada por los donantes, especialmente de Europa y Estados Unidos, debido a las crisis que están sufriendo dichas economías, y que exigen mayor concentración de esfuerzos en resolver los problemas internos y dejar para un segundo plano la Ayuda Oficial para el Desarrollo (AOD). En este contexto, la cooperación para la investigación científica y técnica en materia de biodiversidad se torna en un reto para ser alcanzado a través de los mecanismos tradicionales.Ante esta coyuntura, la incorporación de prácticas de mercadeo en el sector ambiental del país debe ser considerada como una alternativa para que los institutos ambientales de Colombia, logren generar recursos propios y poder así, facilitar el cumplimiento de acuerdos internacionales como las Metas Aichi.
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El interés de este trabajo de investigación es evaluar el impacto de la Cooperación Internacional del Banco Interamericano de Desarrollo y el Fondo para el Medio Ambiente Mundial a Colombia, en la protección de la Biodiversidad en el Archipiélago de San Andrés, Providencia y Santa Catalina de 2010 a 2014. Se analiza y explica la relación establecida entre los tres actores y cómo esta apoya el logro de los objetivos del país a nivel ambiental por medio de la transferencia de recursos técnicos y financieros para el apoyo de iniciativas concretas en la región. Bajo la modalidad de estudio de caso, la investigación pretende comprender las dinámicas expuestas en el contexto específico de la gestión ambiental.
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El presente trabajo busca relacionar el concepto de perdurabilidad con criterios como turbulencia y globalización. En el mundo actual, las empresas enfrentan un dilema: perdurar o morir. Toda empresa que nace está destinada a generar ganancias y perdurar en el tiempo, pero el panorama actual de globalización y competencia obliga a dinamizar la actividad económica de manera que la empresa pueda subsistir mediante la aplicación de estrategias y la capacidad de adaptabilidad. Dentro del concepto de perdurabilidad, podemos observar dos tendencias. La primera relacionada con las diferentes definiciones e investigaciones realizadas en torno a perdurabilidad empresarial, de donde se deduce que perdurabilidad se podría definir en un ambiente global. Es un término global como la suma de los diferentes ángulos o puntos de vista de las culturas del mundo. Es una confluencia de saberes. Finalmente, luego de un repaso de las teorías y estudios sobre el tema, se plantean una conclusiones y recomendaciones, con el fin de dejar abierto el tema e invitar a las nuevas generaciones a que profundicen en el tema.
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La presente monografía busca explicar el proceso de securitización realizado por la AOSIS del cambio climático en las COP de la CMNUCC. Esta investigación defiende que la AOSIS sí ha hecho dicho proceso a través de estrategias como el liderazgo moral y los nexos con actores no-estatales; pero dicho proceso no ha sido exitoso, dado el predominio del discurso del desarrollo sostenible en las negociaciones, el debilitamiento de la AOSIS como actor securitizador y el poco apoyo formal de las potencias emergentes y el bloque UMBRELLA. Para sustentar lo anterior, se realizará una revisión de informes científicos que demuestran que el cambio climático es una amenaza a la seguridad, y un estudio desde de la teoría de securitización de Thierry Balzacq, de los discursos dados por los estados AOSIS, de las COP y de las posiciones de algunos bloques de negociación sobre el cambio climático.
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Estimates of soil organic carbon (SOC) stocks and changes under different land use systems can help determine vulnerability to land degradation. Such information is important for countries in and areas with high susceptibility to desertification. SOC stocks, and predicted changes between 2000 and 2030, were determined at the national scale for Jordan using The Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System. For the purpose of this study, Jordan was divided into three natural regions (The Jordan Valley, the Uplands and the Badia) and three developmental regions (North, Middle and South). Based on this division, Jordan was divided into five zones (based on the dominant land use): the Jordan Valley, the North Uplands, the Middle Uplands, the South Uplands and the Badia. This information was merged using GIS, along with a map of rainfall isohyets, to produce a map with 498 polygons. Each of these was given a unique ID, a land management unit identifier and was characterized in terms of its dominant soil type. Historical land use data, current land use and future land use change scenarios were also assembled, forming major inputs of the modelling system. The GEFSOC Modelling System was then run to produce C stocks in Jordan for the years 1990, 2000 and 2030. The results were compared with conventional methods of estimating carbon stocks, such as the mapping based SOTER method. The results of these comparisons showed that the model runs are acceptable, taking into consideration the limited availability of long-term experimental soil data that can be used to validate them. The main findings of this research show that between 2000 and 2030, SOC may increase in heavily used areas under irrigation and will likely decrease in grazed rangelands that cover most of Jordan giving an overall decrease in total SOC over time if the land is indeed used under the estimated forms of land use. (C) 2007 Elsevier B.V. All rights reserved.
Modelled soil organic carbon stocks and changes in the Indo-Gangetic Plains, India from 1980 to 2030
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The Global Environment Facility co-financed Soil Organic Carbon (GEFSOC) Project developed a comprehensive modelling system for predicting soil organic carbon (SOC) stocks and changes over time. This research is an effort to predict SOC stocks and changes for the Indian, Indo-Gangetic Plains (IGP), an area with a predominantly rice (Oryza sativa) - wheat (Triticum aestivum) cropping system, using the GEFSOC Modelling System and to compare output with stocks generated using mapping approaches based on soil survey data. The GEFSOC Modelling System predicts an estimated SOC stock for the IGP, India of 1.27, 1.32 and 1.27 Pg for 1990, 2000 and 2030, respectively, in the top 20 cm of soil. The SOC stock using a mapping approach based on soil survey data was 0.66 and 0.88 Pg for 1980 and 2000, respectively. The SOC stock estimated using the GEFSOC Modelling System is higher than the stock estimated using the mapping approach. This is due to the fact that while the GEFSOC System accounts for variation in crop input data (crop management), the soil mapping approach only considers regional variation in soil texture and wetness. The trend of overall change in the modelled SOC stock estimates shows that the IGP, India may have reached an equilibrium following 30-40 years of the Green Revolution. This can be seen in the SOC stock change rates. Various different estimation methods show SOC stocks of 0.57-1.44 Pg C for the study area. The trend of overall change in C stock assessed from the soil survey data indicates that the soils of the IGP, India may store a projected 1.1 Pg of C in 2030. (C) 2007 Elsevier B.V. All rights reserved.
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Under the United Nations Framework Convention on Climate Change (UNFCCC), Non-Annex 1 countries such as Kenya are obliged to report green house gas (GHG) emissions from all sources where possible, including those from soils as a result of changes in land use or land management. At present, the convention encourages countries to estimate emissions using the most advanced methods possible, given the country circumstances and resources. Estimates of soil organic carbon (SOC) stocks and changes were made for Kenya using the Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System. The tool conducts analysis using three methods: (1) the Century general ecosystem model; (2) the RothC soil C decomposition model; and (3) the Intergovernmental Panel on Climate Change (IPCC) method for assessing soil C at regional scales. The required datasets included: land use history, monthly mean precipitation, monthly mean minimum and maximum temperatures for all the agro-climatic zones of Kenya and historical vegetation cover. Soil C stocks of 1.4-2.0 Pg (0-20 cm), compared well with a Soil and Terrain (SOTER) based approach that estimated similar to .8-2.0 Pg (0-30 cm). In 1990 48% of the country had SOC stocks of < 18 t C ha(-1) and 20% of the country had SOC stocks of 18-30 t C ha(-1), whereas in 2000 56% of the country had SOC stocks of < 18 t C ha(-1) and 31% of the country had SOC stocks of 18-30 t C ha(-1). Conversion of natural vegetation to annual crops led to the greatest soil C losses. Simulations suggest that soil C losses remain substantial throughout the modelling period of 1990-2030. All three methods involved in the GEFSOC System estimated that there would be a net loss of soil C between 2000 and 2030 in Kenya. The decline was more marked with RothC than with Century or the IPCC method. In non-hydric soils the SOC change rates were more pronounced in high sandy soils compared to high clay soils in most land use systems. (C) 2007 Elsevier B.V. All rights reserved.
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Soil organic carbon (SOC) plays a vital role in ecosystem function, determining soil fertility, water holding capacity and susceptibility to land degradation. In addition, SOC is related to atmospheric CO, levels with soils having the potential for C release or sequestration, depending on land use, land management and climate. The United Nations Convention on Climate Change and its Kyoto Protocol, and other United Nations Conventions to Combat Desertification and on Biodiversity all recognize the importance of SOC and point to the need for quantification of SOC stocks and changes. An understanding of SOC stocks and changes at the national and regional scale is necessary to further our understanding of the global C cycle, to assess the responses of terrestrial ecosystems to climate change and to aid policy makers in making land use/management decisions. Several studies have considered SOC stocks at the plot scale, but these are site specific and of limited value in making inferences about larger areas. Some studies have used empirical methods to estimate SOC stocks and changes at the regional scale, but such studies are limited in their ability to project future changes, and most have been carried out using temperate data sets. The computational method outlined by the Intergovernmental Panel on Climate Change (IPCC) has been used to estimate SOC stock changes at the regional scale in several studies, including a recent study considering five contrasting eco regions. This 'one step' approach fails to account for the dynamic manner in which SOC changes are likely to occur following changes in land use and land management. A dynamic modelling approach allows estimates to be made in a manner that accounts for the underlying processes leading to SOC change. Ecosystem models, designed for site scale applications can be linked to spatial databases, giving spatially explicit results that allow geographic areas of change in SOC stocks to be identified. Some studies have used variations on this approach to estimate SOC stock changes at the sub-national and national scale for areas of the USA and Europe and at the watershed scale for areas of Mexico and Cuba. However, a need remained for a national and regional scale, spatially explicit system that is generically applicable and can be applied to as wide a range of soil types, climates and land uses as possible. The Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System was developed in response to this need. The GEFSOC system allows estimates of SOC stocks and changes to be made for diverse conditions, providing essential information for countries wishing to take part in an emerging C market, and bringing us closer to an understanding of the future role of soils in the global C cycle. (C) 2007 Elsevier B.V. All rights reserved.
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Composites of wind speeds, equivalent potential temperature, mean sea level pressure, vertical velocity, and relative humidity have been produced for the 100 most intense extratropical cyclones in the Northern Hemisphere winter for the 40-yr ECMWF Re-Analysis (ERA-40) and the high resolution global environment model (HiGEM). Features of conceptual models of cyclone structure—the warm conveyor belt, cold conveyor belt, and dry intrusion—have been identified in the composites from ERA-40 and compared to HiGEM. Such features can be identified in the composite fields despite the smoothing that occurs in the compositing process. The surface features and the three-dimensional structure of the cyclones in HiGEM compare very well with those from ERA-40. The warm conveyor belt is identified in the temperature and wind fields as a mass of warm air undergoing moist isentropic uplift and is very similar in ERA-40 and HiGEM. The rate of ascent is lower in HiGEM, associated with a shallower slope of the moist isentropes in the warm sector. There are also differences in the relative humidity fields in the warm conveyor belt. In ERA-40, the high values of relative humidity are strongly associated with the moist isentropic uplift, whereas in HiGEM these are not so strongly associated. The cold conveyor belt is identified as rearward flowing air that undercuts the warm conveyor belt and produces a low-level jet, and is very similar in HiGEM and ERA-40. The dry intrusion is identified in the 500-hPa vertical velocity and relative humidity. The structure of the dry intrusion compares well between HiGEM and ERA-40 but the descent is weaker in HiGEM because of weaker along-isentrope flow behind the composite cyclone. HiGEM’s ability to represent the key features of extratropical cyclone structure can give confidence in future predictions from this model.
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Conservation of crop wild relatives (CWRs) is a complex interdisciplinary process that is being addressed by various national and international initiatives, including two Global Environment Facility projects ('In situ Conservation of Crop Wild Relatives through Enhanced Information Management and Field Application' and 'Design, Testing and Evaluation of Best Practices for in situ Conservation of Economically Important Wild Species'), the European Community-funded project 'European Crop Wild Relative Diversity Assessment and Conservation Forum (PGR Forum)' and the European 'In situ and On Farm Network'. The key issues that have arisen are: (1) the definition of what constitutes a CWR, (2) the need for national and regional information systems and a global system, (3) development and application of priority-determining mechanisms, (4) the incorporation of the conservation of CWRs into existing national, regional and international PGR programmes, (5) assessment of the effectiveness of conservation actions, (6) awareness of the importance of CWRs in agricultural development at local, national and international levels both for the scientific and lay communities and (7) policy development and legal framework. The above issues are illustrated by work on the conservation of a group of legumes known as grasspea chicklings, vetchlings, and horticultural ornamental peas (Lathyrus spp.) in their European and Mediterranean centre of diversity. (c) 2007 Published by Elsevier B.V.
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The development of eutrophication in river systems is poorly understood given the complex relationship between fixed plants, algae, hydrodynamics, water chemistry and solar radiation. However there is a pressing need to understand the relationship between the ecological status of rivers and the controlling environmental factors to help the reasoned implementation of the Water Framework Directive and Catchment Sensitive Farming in the UK. This research aims to create a dynamic, process-based, mathematical in-stream model to simulate the growth and competition of different vegetation types (macrophytes, phytoplankton and benthic algae) in rivers. The model, applied to the River Frome (Dorset, UK), captured well the seasonality of simulated vegetation types (suspended algae, macrophytes, epiphytes, sediment biofilm). Macrophyte results showed that local knowledge is important for explaining unusual changes in biomass. Fixed algae simulations indicated the need for the more detailed representation of various herbivorous grazer groups, however this would increase the model complexity, the number of model parameters and the required observation data to better define the model. The model results also highlighted that simulating only phytoplankton is insufficient in river systems, because the majority of the suspended algae have benthic origin in short retention time rivers. Therefore, there is a need for modelling tools that link the benthic and free-floating habitats.