10 resultados para pollen and vegetation

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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uivalent Spanish and Catalan terms.

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Earth System Models (ESM) have been successfuly developed over past few years, and are currently beeing used for simulating present day-climate, seasonal to interanual predictions of climate change. The supercomputer performance plays an important role in climate modeling since one of the challenging issues for climate modellers is to efficiently and accurately couple earth System components on present day computers architectures. At the Barcelona Supercomputing Center (BSC), we work with the EC- Earth System Model. The EC- Earth is an ESM, which currently consists of an atmosphere (IFS) and an ocean (NEMO) model that communicate with each other through the OASIS coupler. Additional modules (e.g. for chemistry and vegetation ) are under development. The EC-Earth ESM has been ported successfully over diferent high performance computin platforms (e.g, IBM P6 AIX, CRAY XT-5, Intelbased Linux Clusters, SGI Altix) at diferent sites in Europ (e.g., KNMI, ICHEC, ECMWF). The objective of the first phase of the project was to identify and document the issues related with the portability and performance of EC-Earth on the MareNostrum supercomputer, a System based on IBM PowerPC 970MP processors and run under a Linux Suse Distribution. EC-Earth was successfully ported to MareNostrum, and a compilation incompatibilty was solved by a two step compilation approach using XLF version 10.1 and 12.1 compilers. In addition, the EC-Earth performance was analyzed with respect to escalability and trace analysis with the Paravear software. This analysis showed that EC-Earth with a larger number of IFS CPUs (<128) is not feasible at the moment since some issues exists with the IFS-NEMO balance and MPI Communications.

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The impact of topography and mixed pixels on L-band radiometric observations over land needs to be quantified to improve the accuracy of soil moisture retrievals. For this purpose, a series of simulations has been performed with an improved version of the soil moisture and ocean salinity (SMOS) end-to-end performance simulator (SEPS). The brightness temperature generator of SEPS has been modified to include a 100-m-resolution land cover map and a 30-m-resolution digital elevation map of Catalonia (northeast of Spain). This high-resolution generator allows the assessment of the errors in soil moisture retrieval algorithms due to limited spatial resolution and provides a basis for the development of pixel disaggregation techniques. Variation of the local incidence angle, shadowing, and atmospheric effects (up- and downwelling radiation) due to surface topography has been analyzed. Results are compared to brightness temperatures that are computed under the assumption of an ellipsoidal Earth.

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Lettuce greenhouse experiments were carried out from March to June 2011 in order to analyze how pesticides behave from the time of application until their intake via human consumption taking into account the primary distribution of pesticides, field dissipation, and post-harvest processing. In addition, experimental conditions were used to evaluate a new dynamic plant uptake model comparing its results with the experimentally derived residues. One application of imidacloprid and two of azoxystrobin were conducted. For evaluating primary pesticide distribution, two approaches based on leaf area index and vegetation cover were used and results were compared with those obtained from a tracer test. High influence of lettuce density, growth stage and type of sprayer was observed in primary distribution showing that low densities or early growth stages implied high losses of pesticides on soil. Washed and unwashed samples of lettuce were taken and analyzed from application to harvest to evaluate removal of pesticides by food processing. Results show that residues found on the Spanish preharvest interval days were in all cases below officially set maximum residue limits, although it was observed that time between application and harvest is as important for residues as application amounts. An overall reduction of 40–60% of pesticides residues was obtained from washing lettuce. Experimentally derived residues were compared with modeled residues and deviate from 1.2 to 1.4 for imidacloprid and azoxystrobin, respectively, presenting good model predictions. Resulting human intake fractions range from... for imidacloprid to ... for azoxystrobin.

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In this study, the evaluation of the accuracy and performance of a light detection and ranging (LIDAR) sensor for vegetation using distance and reflection measurements aiming to detect and discriminate maize plants and weeds from soil surface was done. The study continues a previous work carried out in a maize field in Spain with a LIDAR sensor using exclusively one index, the height profile. The current system uses a combination of the two mentioned indexes. The experiment was carried out in a maize field at growth stage 12–14, at 16 different locations selected to represent the widest possible density of three weeds: Echinochloa crus-galli (L.) P.Beauv., Lamium purpureum L., Galium aparine L.and Veronica persica Poir.. A terrestrial LIDAR sensor was mounted on a tripod pointing to the inter-row area, with its horizontal axis and the field of view pointing vertically downwards to the ground, scanning a vertical plane with the potential presence of vegetation. Immediately after the LIDAR data acquisition (distances and reflection measurements), actual heights of plants were estimated using an appropriate methodology. For that purpose, digital images were taken of each sampled area. Data showed a high correlation between LIDAR measured height and actual plant heights (R2 = 0.75). Binary logistic regression between weed presence/absence and the sensor readings (LIDAR height and reflection values) was used to validate the accuracy of the sensor. This permitted the discrimination of vegetation from the ground with an accuracy of up to 95%. In addition, a Canonical Discrimination Analysis (CDA) was able to discriminate mostly between soil and vegetation and, to a far lesser extent, between crop and weeds. The studied methodology arises as a good system for weed detection, which in combination with other principles, such as vision-based technologies, could improve the efficiency and accuracy of herbicide spraying.

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Landscape classification tackles issues related to the representation and analysis of continuous and variable ecological data. In this study, a methodology is created in order to define topo-climatic landscapes (TCL) in the north-west of Catalonia (north-east of the Iberian Peninsula). TCLs relate the ecological behaviour of a landscape in terms of topography, physiognomy and climate, which compound the main drivers of an ecosystem. Selected variables are derived from different sources such as remote sensing and climatic atlas. The proposed methodology combines unsupervised interative cluster classification with a supervised fuzzy classification. As a result, 28 TCLs have been found for the study area which may be differentiated in terms of vegetation physiognomy and vegetation altitudinal range type. Furthermore a hierarchy among TCLs is set, enabling the merging of clusters and allowing for changes of scale. Through the topo-climatic landscape map, managers may identify patches with similar environmental conditions and asses at the same time the uncertainty involved.

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Potential mining of the pliocene and quaternary geological formations for the aggregate production along the medium course of the Fluvil river is likely to be carried out through gravel pits. The most significant environmental impacts are envisaged to occur during site preparation and extraction of aggregate. Several environmental impacts types have been considered: variation of water table, reduction of soil and vegetation, development of unbalanced land-forms and deterioration of landscape

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En los últimos años, el uso turístico de las áreas protegidas ha aumentado considerablemente, y con él, el grado de impacto. Es por este motivo que se requieren medidas de gestión adecuadas para identificar, conocer y evaluar estos impactos potenciales y así poder actuar ofreciendo un uso recreativo de estas áreas a la vez que se asegura su conservación. El objetivo del presente trabajo fue establecer el grado de impacto que sufre la vegetaciòn y el suelo del Parque Nacional de Tierra del Fuego en las zonas de acampada y compararlas con las áreas adyacentes, como controles. Asimismo, se buscó establecer cuales son los indicadores de impacto de mayor relevancia para poder ser usados como herramientas de gestión. La evaluación se efectuó mediante el muestreo de 40 parcelas, transectas y intertransectas en donde se analizaron variables vegetacionales (cobertura arbórea, arbustiva y herbácea, porcentaje de suelo desnudo, daño en árboles y arbustos, y presencia de raíces expuestas) y del suelo (pH, materia orgánica, densidad aparente y humedad). El grado de impacto se estableció numéricamente con una fórmula matemática en donde se seleccionaron los parámetros evaluados y se corrigieron con factores de correción, dando un impacto clasificado como “compatible” en el área de Río Pipo y “moderado” en el área de Laguna Verde. También se formularon propuestas de manejo para prevenir y/o minimizar los impactos producidos en las zonas de camping.

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En aquest treball s'avalua la rehabilitació dels talussos d'una explotació minera carbonífera utilitzant materials de rebuig de la pròpia explotació i provinents d'activitats ramaderes (purins de porc) o urbanes (llots de depuradora), en un ambient àrid del Baix Segre. Les variables analitzades foren el tipus i recobriment vegetals, la penetromia i la salinitat del substrat, i la salinitat, els nitrats i els sediments dels efluents. Els resultats indiquen que és possible rehabilitar els runams en aquests medis, assolint recobriments vegetals fins al 50 % sense que se'n derivin efectes ambientals negatius importants. Taxes altes puntuals d'erosió poden controlar-se amb un disseny adient dels talussos. L'aplicació superficial de purí no té efectes antiencrostants. La moderada salinitat dels substrats condiciona l'establiment de vegetació halòfila.

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En los últimos años, el uso turístico de las áreas protegidas ha aumentado considerablemente, y con él, el grado de impacto. Es por este motivo que se requieren medidas de gestión adecuadas para identificar, conocer y evaluar estos impactos potenciales y así poder actuar ofreciendo un uso recreativo de estas áreas a la vez que se asegura su conservación. El objetivo del presente trabajo fue establecer el grado de impacto que sufre la vegetaciòn y el suelo del Parque Nacional de Tierra del Fuego en las zonas de acampada y compararlas con las áreas adyacentes, como controles. Asimismo, se buscó establecer cuales son los indicadores de impacto de mayor relevancia para poder ser usados como herramientas de gestión. La evaluación se efectuó mediante el muestreo de 40 parcelas, transectas y intertransectas en donde se analizaron variables vegetacionales (cobertura arbórea, arbustiva y herbácea, porcentaje de suelo desnudo, daño en árboles y arbustos, y presencia de raíces expuestas) y del suelo (pH, materia orgánica, densidad aparente y humedad). El grado de impacto se estableció numéricamente con una fórmula matemática en donde se seleccionaron los parámetros evaluados y se corrigieron con factores de correción, dando un impacto clasificado como “compatible” en el área de Río Pipo y “moderado” en el área de Laguna Verde. También se formularon propuestas de manejo para prevenir y/o minimizar los impactos producidos en las zonas de camping.