10 resultados para Potential Distribution

em Universidad Politécnica de Madrid


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Species selection for forest restoration is often supported by expert knowledge on local distribution patterns of native tree species. This approach is not applicable to largely deforested regions unless enough data on pre-human tree species distribution is available. In such regions, ecological niche models may provide essential information to support species selection in the framework of forest restoration planning. In this study we used ecological niche models to predict habitat suitability for native tree species in "Tierra de Campos" region, an almost totally deforested area of the Duero Basin (Spain). Previously available models provide habitat suitability predictions for dominant native tree species, but including non-dominant tree species in the forest restoration planning may be desirable to promote biodiversity, specially in largely deforested areas were near seed sources are not expected. We used the Forest Map of Spain as species occurrence data source to maximize the number of modeled tree species. Penalized logistic regression was used to train models using climate and lithological predictors. Using model predictions a set of tools were developed to support species selection in forest restoration planning. Model predictions were used to build ordered lists of suitable species for each cell of the study area. The suitable species lists were summarized drawing maps that showed the two most suitable species for each cell. Additionally, potential distribution maps of the suitable species for the study area were drawn. For a scenario with two dominant species, the models predicted a mixed forest (Quercus ilex and a coniferous tree species) for almost one half of the study area. According to the models, 22 non-dominant native tree species are suitable for the study area, with up to six suitable species per cell. The model predictions pointed to Crataegus monogyna, Juniperus communis, J.oxycedrus and J.phoenicea as the most suitable non-dominant native tree species in the study area. Our results encourage further use of ecological niche models for forest restoration planning in largely deforested regions.

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PREDICT POTENTIAL DISTRIBUTION. Spatial and temporal evolution of the species under different climate scenarios. Generation of habitat suitability models (HSM)  high degree of uncertainty and limitations. The importance of their validation has been stressed. In this work we discuss the present potential distribution of P. sylvestris and P. nigra in the Iberian Peninsula by using MaxEnt, and evaluate the influence of the different environmental variables. Our intention is to select a set of environmental variables that explains better their current distribution, to achieve the most accurate and reliable models. Then we project them to the past climatic conditions (21 to 0 kyrs BP), to evaluate the outputs with existing palaeo-ecological data.

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Cinchona officinalis (Rubiaceae), especie endémica del Valle de Loja, ubicado en la región sur del Ecuador, es un recurso forestal de importancia medicinal y ecológica, además la especie ha sido catalogada como planta nacional y es un ícono de la región sur por su aporte a la farmacopea mundial. Esta especie, entre los siglos XVII-XIX sufrió una gran presión en sus poblaciones debido a la extracción masiva de la corteza para la cura del paludismo. Aunque la actividad extractiva generó grandes ingresos a la Corona Española y a la región Sur del Ecuador, ésta fue poco o nada sustentable ecológicamente, provocando la desaparición de la especie en muchos sitios de la provincia, pues, en su momento, no se consideraron alternativas de recuperación de las poblaciones naturales. Actualmente la extracción y consumo de la corteza en la zona de origen es baja o nula, sin embargo esta zona enfrenta nuevas amenazas. La deforestación a causa de proyectos de desarrollo en infraestructuras, la práctica de actividades agrícolas y de ganadería, y los efectos del cambio climático han ocasionado, en estos últimos años, la fragmentación de los ecosistemas. La mayoría de los bosques del sur del Ecuador se han convertido en parches aislados (los bosques en los que se distribuye C. officinalis no son la excepción) siendo esta la principal causa para que la especie se encuentre en estado de amenaza. Los individuos de la especie tienen una alta capacidad de rebrote y producen semillas durante todo el año; sin embargo la capacidad germinativa y la tasa de sobrevivencia son bajas, además de estas dificultades la especie requiere de la asociación con otras especies vegetales para su desarrollo, lo cual ha limitado su distribución en pequeños parches aislados. Con esta problemática, la recuperación natural de las poblaciones es una necesidad evidente. Varios trabajos y esfuerzos previos se han realizado a nivel local: i. Identificación de la distribución actual y potencial; ii. Determinación de la fenología y fructificación iii. Programas de educación ambiental, iv. Análisis moleculares para determinar la diversidad genética. v. Ensayos de propagación vegetativa; y otras acciones de tipo cultural. No obstante, el estado de conservación y manejo de las poblaciones naturales no ha mejorado significativamente, siendo necesaria la aplicación de estrategias integradas de conservación in situ y ex situ, que permitan la recuperación y permanencia de las poblaciones naturales a largo plazo. El presente trabajo tiene como fin dar alternativas para el cultivo de tejidos in vitro de Cinchona officinalis centrados en la propagación masiva a partir de semillas, análisis de la fidelidad genética y alternativas de conservación de tejidos. Los objetivos específicos que se plantean son: i. Analizar el proceso de germinación y proliferación in vitro. ii. Evaluar la estabilidad genética en explantes cultivados in vitro, mediante marcadores ISSR. iii. Establecer protocolos de conservación in vitro mediante limitación del crecimiento y criopreservación de segmentos nodales y yemas. Los resultados más significativos de esta investigación fueron: i. El desarrollo de protocolos eficientes para mejorar los porcentajes de germinación y la proliferación de brotes en explantos cultivados in vitro. Para evaluar el efecto de los fenoles sobre la germinación, se determinó el contenido total de fenoles y el porcentaje de germinación en semillas de C. officinalis comparados con una especie de control, C. pubescens. Para inducir a proliferación, se utilizaron segmentos nodales de plántulas germinadas in vitro en medio Gamborg (1968) suplementado con diferentes combinaciones de reguladores de crecimiento (auxinas y citoquininas). Los resultados obtenidos sugieren que el contenido de compuestos fenólicos es alto en las semillas de C. officinalis en comparación con las semillas de C. pubescens. Estos fenoles pueden eliminarse con peróxido de hidrógeno o con lavados de agua para estimular la germinación. La formación de nuevos brotes y callos en la mayoría de las combinaciones de reguladores de crecimiento se observó en un período de 45 días. El mayor porcentaje de proliferación de brotes, formación de callos y presencia de brotes adventicios se obtuvo en medio Gamborg (B5) suplementado con 5.0 mg/l 6-bencil-aminopurina y 3.0 mg/l de ácido indol-3-butírico. ii. La evaluación de la fidelidad genética de los explantes obtenidos con distintas combinaciones de reguladores de crecimiento vegetal y diversos subcultivos. Se realizó el seguimiento a los explantes obtenidos de la fase anterior, determinando el índice de multiplicación y analizando la fidelidad genética de los tejidos obtenidos por las dos vías regenerativas: brotación directa y regeneración de brotes a partir de callos. Este análisis se realizó por amplificación mediante PCR de las secuencias ubicadas entre microsatélites-ISSR (Inter simple sequence repeat). El medio Gamborg (B5) con 3.0 mg/l de AIB y 5.0 mg/l de BAP usado como medio de inducción en la primera etapa de cultivo generó el mayor índice de proliferación (11.5). Un total de 13 marcadores ISSR fueron analizados, 6 de éstos fueron polimórficos. El mayor porcentaje de variación somaclonal fue inducido en presencia de 1.0 mg/l 2,4-D combinado con 0.2 mg/l Kin con un 1.8% en el segundo sub-cultivo de regeneración, la cual incrementó a 3.6% en el tercer sub-cultivo. Todas las combinaciones con presencia de 2,4-D produjeron la formación de callos y presentaron variación genética. Por su parte la fidelidad genética se mantuvo en los sistemas de propagación directa a través de la formación de brotes a partir de meristemos preformados. iii. El establecimiento de protocolos de conservación in vitro y crioconservación de segmentos nodales y yemas. Para la conservación limitando el crecimiento, se cultivaron segmentos nodales en los medios MS y B5 en tres concentraciones de sus componentes (25, 50 y 100%); y en medio B5 más agentes osmóticos como el manitol, sorbitol y sacarosa en diferentes concentraciones (2, 4 y 8%); los cultivos se mantuvieron por 12 meses sin subcultivos. Para el establecimiento de protocolos para la crioconservación (paralización del metabolismo) se usaron yemas axilares y apicales a las cuales se les aplicaron los métodos de encapsulación-deshidratación y vitrificación. La efectividad de los protocolos usados se determinó en función de la sobrevivencia, reducción del crecimiento y regeneración. Los resultados obtenidos en este apartado reflejan que un crecimiento limitado puede mantener tejidos durante 12 meses de almacenamiento, usando medio B5 más manitol entre 2 y 8%. En los protocolos de crioconservación, se obtuvo el mayor porcentaje de recuperación tras la congelación en NL en el tratamiento control seguido por el método crioprotector de encapsulación-deshidratación. Este trabajo brinda alternativas para la propagación de C. officinalis bajo condiciones in vitro, partiendo de material vegetal con alta diversidad genética. El material propagado puede ser fuente de germoplasma para la recuperación y reforzamiento de las poblaciones naturales así como una alternativa de producción para las comunidades locales debido a la demanda actual de corteza de la zona de origen para la elaboración de agua tónica. ABSTRACT Cinchona officinalis (Rubiaceae) is endemic to the Loja Valley, located in the southern area of Ecuador. The importance of this plant as medical and ecological resource is so great that it has been designated as the national flower and is an icon of the southern region for its contribution to the world pharmacopoeia. Between XVII-XIX centuries its population suffered great reduction due to massive harvesting of the bark to cure malaria. Although extraction activity generated large revenues to the Spanish Crown and the southern region of Ecuador, this was not ecologically sustainable, causing the disappearance of the species in many areas of the province, because during that time alternatives to prevent extinction and recover natural populations were not taken in account. Currently the extraction and consumption of bark in the area of origin is almost absent, but this species faces new threats. Deforestation due to infrastructure development, the practice of farming and ranching, and the effects of climate change had led to the fragmentation of ecosystems during the recent years. Most of the forests of southern Ecuador have become isolated patches, including those where C. officinalis is diffused. The lack of suitable habitat is today the main threat for the species. The species has a high capacity for regeneration and produces seeds throughout the year, but the germination rate is low and the growth is slow. In addition, the species requires the association with other plant species to develop. All these factors had limited its distribution to small isolated patches. The natural recovery of populations is essential to face this problem. Several studies and previous efforts had been made at local level: i. Identification of current and potential distribution; ii. Phenology determination. iii. Environmental education programs, iv. Molecular analisis to determine the genetic diversity. v. Testing of vegetative propagation; and other actions of cultural nature. Despite these efforts, the state of conservation and management of natural populations has not improved significantly. Implementation of integrated in situ and ex situ conservation strategies for the recovery and permanence of long-term natural populations is still needed. This work aims to provide alternatives for in vitro culture of tissue of Cinchona officinalis focused on mass propagation from seeds, genetic fidelity analysis and tissue conservation alternatives. The specific aims are: i. Analyze the process of germination and proliferation in vitro. ii. To evaluate the genetic stability of the explants cultured in vitro by ISSR markers. iii. Establish protocols for in vitro conservation by limiting growth and cryopreservation of nodal segments and buds. The most significant results of this research were: i. The development of efficient protocols to improve germination rates and proliferation of buds in explants cultured in vitro. To study the effect of phenols on germination, the total phenolic content and percentage germination was measured in C. officinalis and in a control species, C. pubescens, for comparison. The content of phenolic compounds in C. officinalis seeds is higher than in C. pubescens. These phenols can be removed with hydrogen peroxide or water washes to stimulate germination. To analyze the regeneration, we used nodal explants from seedlings germinated in vitro on Gamborg medium (1968) supplemented with different combinations of growth regulators (auxins and cytokinins) to induce proliferation. The formation of new shoots and calluses was observed within a period of 45 days in most combinations of growth regulators. The highest percentage of shoot proliferation, callus formation and adventitious buds were obtained in B5 medium supplemented with 5.0 mg/l 6-benzyl-aminopurine and 3.0 mg/l indole-3-butyric acid. ii. Evaluating genetic fidelity explants obtained with various combinations of plant growth regulators and different subcultures. The genetic fidelity was analyzed in tissues obtained by the two regenerative pathways: direct sprouting and shoot regeneration from callus. This analysis was performed by PCR amplification of the sequences located between microsatellite-ISSR (Inter Simple Sequence Repeat). Among a total of 13 ISSR markers analyzed, 6 were polymorphic. The highest percentage of somaclonal variation was induced in the presence of 1.0 mg/l 2,4-D combined with 0.2 mg/l Kin with 1.8% in the second round of regeneration, and increased to 3.6% in the third round. The presence of 2,4-D induced genetic variation in all the combinations of growth regulators. Meanwhile genetic fidelity remained systems propagation through direct shoot formation from meristems preformed. iii. Establishing conservation protocols in vitro and cryoconservation of nodal segments and buds. For medium-term conservation (limited growth) nodal segments were cultured in MS and B5 media at three concentrations (25, 50 and 100%); we tested B5 medium with different concentrations of osmotic agents such as mannitol, sorbitol and sucrose (2, 4 and 8%); cultures were maintained for 12 months with regular subculturing. To establish protocols for cryoconservation (cessation of metabolism) different methods of encapsulation-dehydration and vitrification were applied to axillary and apical buds. The effectiveness of the used protocols is determined based on the survival, growth and regeneration success. The results show that these tissues can be maintained in storage for 12 months, using B5 medium plus mannitol between 2 and 8%. The cryoconservation protocol with highest percentage of recovery was obtained by contral treatment, followed by freezing in NL with encapsulation-dehydration method. This work provides alternatives for the propagation in vitro of C. officinalis, starting from plant material with high genetic diversity. The obtained material represents a source of germplasm to support the recovery and strengthening of natural populations as well as a creation of alternative sources for local communities due to the current demand of bark for the preparation of tonic water.

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In recent years, challenged by the climate scenarios put forward by the IPCC and its potential impact on plant distribution, numerous predictive techniques -including the so called habitat suitability models (HSM)- have been developed. Yet, as the output of the different methods produces different distribution areas, developing validation tools are strong needs to reduce uncertainties. Focused in the Iberian Peninsula, we propose a palaeo-based method to increase the robustness of the HSM, by developing an ecological approach to understand the mismatches between the palaeoecological information and the projections of the HSMs. Here, we present the result of (1) investigating causal relationships between environmental variables and presence of Pinus sylvestris L. and P. nigra Arn. available from the 3rd Spanish Forest Inventory, (2) developing present and past presence-predictions through the MaxEnt model for 6 and 21 kyr BP, and (3) assessing these models through comparisons with biomized palaeoecological data available from the European Pollen Database for the Iberian Peninsula.

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This study states the potential trace elements (TE’s) content of red soils located at the centre region of Spain, characterized by low rainfall and slight acidity over prolonged weathering periods. For this purpose, three soil profiles from a catena were described, sampled and analyzed. The most notable characteristics are the low organic matter content and the predominantly acidic pH. Illite and kaolinite are the predominant clay minerals. The fertility of the soils is sufficient to provide most of the nutrients required, with very suitable potassium levels. The geochemical characters of this soil are: only few elements remain almost invariable across the profiles and over time, however the majority of them were directly linked with the clay content. These soils are characterized by relatively low levels of some trace elements such as Sr (64.35 mg?kg–1), Ba (303.67 mg?kg–1) and Sc (13.14 mg?kg–1); high levels of other trace elements such as V (103.92 mg?kg–1), Cr (79.9 mg?kg–1), Cu (15.18 mg?kg–1), Hf (10.26 mg?kg–1), Ni (38 mg?kg–1) and Zr (337 mg?kg–1); while the levels for rare earth elements (REE’s) such as La (48.36 mg?kg–1), Ce (95.07 mg?kg–1), Th (13.33 mg?kg–1) and Nd (42.65 mg?kg–1) are significantly high. The distribution of mayor and trace elements was directly re- lated to weathering processes, parent material and anthropogenic activities.

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Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most well-known and representative evolutionary search technique, have been the subject of the major part of such applications. Estimation of distribution algorithms (EDAs) offer a novel evolutionary paradigm that constitutes a natural and attractive alternative to genetic algorithms. They make use of a probabilistic model, learnt from the promising solutions, to guide the search process. In this paper, we set out a basic taxonomy of EDA techniques, underlining the nature and complexity of the probabilistic model of each EDA variant. We review a set of innovative works that make use of EDA techniques to solve challenging bioinformatics problems, emphasizing the EDA paradigm's potential for further research in this domain.

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We review the evolution, state of the art and future lines of research on the sources, transport pathways, and sinks of particulate trace elements in urban terrestrial environments to include the atmosphere, soils, and street and indoor dusts. Such studies reveal reductions in the emissions of some elements of historical concern such as Pb, with interest consequently focusing on other toxic trace elements such as As, Cd, Hg, Zn, and Cu. While establishment of levels of these elements is important in assessing the potential impacts of human society on the urban environment, it is also necessary to apply this knowledge in conjunction with information on the toxicity of those trace elements and the degree of exposure of human receptors to an assessment of whether such contamination represents a real risk to the city’s inhabitants and therefore how this risk can be addressed.

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Through the use of the Distributed Fiber Optic Temperature Measurement (DFOT) method, it is possible to measure the temperature in small intervals (on the order of centimeters) for long distances (on the order of kilometers) with a high temporal frequency and great accuracy. The heat pulse method consists of applying a known amount of heat to the soil and monitoring the temperature evolution, which is primarily dependent on the soil moisture content. The use of both methods, which is called the active heat pulse method with fiber optic temperature sensing (AHFO), allows accurate soil moisture content measurements. In order to experimentally study the wetting patterns, i.e. shape, size, and the water distribution, from a drip irrigation emitter, a soil column of 0.5 m of diameter and 0.6 m high was built. Inside the column, a fiber optic cable with a stainless steel sheath was placed forming three concentric helixes of diameters 0.2 m, 0.4 m and 0.6 m, leading to a 148 measurement point network. Before, during, and after the irrigation event, heat pulses were performed supplying electrical power of 20 W/m to the steel. The soil moisture content was measured with a capacitive sensor in one location at depths of 0.1 m, 0.2 m, 0.3 m and 0.4 m during the irrigation. It was also determined by the gravimetric method in several locations and depths before and right after the irrigation. The emitter bulb dimensions and shape evolution was satisfactorily measured during infiltration. Furthermore, some bulb's characteristics difficult to predict (e.g. preferential flow) were detected. The results point out that the AHFO is a useful tool to estimate the wetting pattern of drip irrigation emitters in soil columns and show a high potential for its use in the field.

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El objetivo final de las investigaciones recogidas en esta tesis doctoral es la estimación del volumen de hielo total de los ms de 1600 glaciares de Svalbard, en el Ártico, y, con ello, su contribución potencial a la subida del nivel medio del mar en un escenario de calentamiento global. Los cálculos más exactos del volumen de un glaciar se efectúan a partir de medidas del espesor de hielo obtenidas con georradar. Sin embargo, estas medidas no son viables para conjuntos grandes de glaciares, debido al coste, dificultades logísticas y tiempo requerido por ellas, especialmente en las regiones polares o de montaña. Frente a ello, la determinación de áreas de glaciares a partir de imágenes de satélite sí es viable a escalas global y regional, por lo que las relaciones de escala volumen-área constituyen el mecanismo más adecuado para las estimaciones de volúmenes globales y regionales, como las realizadas para Svalbard en esta tesis. Como parte del trabajo de tesis, hemos elaborado un inventario de los glaciares de Svalbard en los que se han efectuado radioecosondeos, y hemos realizado los cálculos del volumen de hielo de más de 80 cuencas glaciares de Svalbard a partir de datos de georradar. Estos volúmenes han sido utilizados para calibrar las relaciones volumen-área desarrolladas en la tesis. Los datos de georradar han sido obtenidos en diversas campañas llevadas a cabo por grupos de investigación internacionales, gran parte de ellas lideradas por el Grupo de Simulación Numérica en Ciencias e Ingeniería de la Universidad Politécnica de Madrid, del que forman parte la doctoranda y los directores de tesis. Además, se ha desarrollado una metodología para la estimación del error en el cálculo de volumen, que aporta una novedosa técnica de cálculo del error de interpolación para conjuntos de datos del tipo de los obtenidos con perfiles de georradar, que presentan distribuciones espaciales con unos patrones muy característicos pero con una densidad de datos muy irregular. Hemos obtenido en este trabajo de tesis relaciones de escala específicas para los glaciares de Svalbard, explorando la sensibilidad de los parámetros a diferentes morfologías glaciares, e incorporando nuevas variables. En particular, hemos efectuado experimentos orientados a verificar si las relaciones de escala obtenidas caracterizando los glaciares individuales por su tamaño, pendiente o forma implican diferencias significativas en el volumen total estimado para los glaciares de Svalbard, y si esta partición implica algún patrón significativo en los parámetros de las relaciones de escala. Nuestros resultados indican que, para un valor constante del factor multiplicativo de la relacin de escala, el exponente que afecta al área en la relación volumen-área decrece según aumentan la pendiente y el factor de forma, mientras que las clasificaciones basadas en tamaño no muestran un patrón significativo. Esto significa que los glaciares con mayores pendientes y de tipo circo son menos sensibles a los cambios de área. Además, los volúmenes de la población total de los glaciares de Svalbard calculados con fraccionamiento en grupos por tamaño y pendiente son un 1-4% menores que los obtenidas usando la totalidad de glaciares sin fraccionamiento en grupos, mientras que los volúmenes calculados fraccionando por forma son un 3-5% mayores. También realizamos experimentos multivariable para obtener estimaciones óptimas del volumen total mediante una combinación de distintos predictores. Nuestros resultados muestran que un modelo potencial simple volumen-área explica el 98.6% de la varianza. Sólo el predictor longitud del glaciar proporciona significación estadística cuando se usa además del área del glaciar, aunque el coeficiente de determinación disminuye en comparación con el modelo más simple V-A. El predictor intervalo de altitud no proporciona información adicional cuando se usa además del área del glaciar. Nuestras estimaciones del volumen de la totalidad de glaciares de Svalbard usando las diferentes relaciones de escala obtenidas en esta tesis oscilan entre 6890 y 8106 km3, con errores relativos del orden de 6.6-8.1%. El valor medio de nuestras estimaciones, que puede ser considerado como nuestra mejor estimación del volumen, es de 7.504 km3. En términos de equivalente en nivel del mar (SLE), nuestras estimaciones corresponden a una subida potencial del nivel del mar de 17-20 mm SLE, promediando 19_2 mm SLE, donde el error corresponde al error en volumen antes indicado. En comparación, las estimaciones usando las relaciones V-A de otros autores son de 13-26 mm SLE, promediando 20 _ 2 mm SLE, donde el error representa la desviación estándar de las distintas estimaciones. ABSTRACT The final aim of the research involved in this doctoral thesis is the estimation of the total ice volume of the more than 1600 glaciers of Svalbard, in the Arctic region, and thus their potential contribution to sea-level rise under a global warming scenario. The most accurate calculations of glacier volumes are those based on ice-thicknesses measured by groundpenetrating radar (GPR). However, such measurements are not viable for very large sets of glaciers, due to their cost, logistic difficulties and time requirements, especially in polar or mountain regions. On the contrary, the calculation of glacier areas from satellite images is perfectly viable at global and regional scales, so the volume-area scaling relationships are the most useful tool to determine glacier volumes at global and regional scales, as done for Svalbard in this PhD thesis. As part of the PhD work, we have compiled an inventory of the radio-echo sounded glaciers in Svalbard, and we have performed the volume calculations for more than 80 glacier basins in Svalbard from GPR data. These volumes have been used to calibrate the volume-area relationships derived in this dissertation. Such GPR data have been obtained during fieldwork campaigns carried out by international teams, often lead by the Group of Numerical Simulation in Science and Engineering of the Technical University of Madrid, to which the PhD candidate and her supervisors belong. Furthermore, we have developed a methodology to estimate the error in the volume calculation, which includes a novel technique to calculate the interpolation error for data sets of the type produced by GPR profiling, which show very characteristic data distribution patterns but with very irregular data density. We have derived in this dissertation scaling relationships specific for Svalbard glaciers, exploring the sensitivity of the scaling parameters to different glacier morphologies and adding new variables. In particular, we did experiments aimed to verify whether scaling relationships obtained through characterization of individual glacier shape, slope and size imply significant differences in the estimated volume of the total population of Svalbard glaciers, and whether this partitioning implies any noticeable pattern in the scaling relationship parameters. Our results indicate that, for a fixed value of the factor in the scaling relationship, the exponent of the area in the volume-area relationship decreases as slope and shape increase, whereas size-based classifications do not reveal any clear trend. This means that steep slopes and cirque-type glaciers are less sensitive to changes in glacier area. Moreover, the volumes of the total population of Svalbard glaciers calculated according to partitioning in subgroups by size and slope are smaller (by 1-4%) than that obtained considering all glaciers without partitioning into subgroups, whereas the volumes calculated according to partitioning in subgroups by shape are 3-5% larger. We also did multivariate experiments attempting to optimally predict the volume of Svalbard glaciers from a combination of different predictors. Our results show that a simple power-type V-A model explains 98.6% of the variance. Only the predictor glacier length provides statistical significance when used in addition to the predictor glacier area, though the coefficient of determination decreases as compared with the simpler V-A model. The predictor elevation range did not provide any additional information when used in addition to glacier area. Our estimates of the volume of the entire population of Svalbard glaciers using the different scaling relationships that we have derived along this thesis range within 6890-8106 km3, with estimated relative errors in total volume of the order of 6.6-8.1% The average value of all of our estimates, which could be used as a best estimate for the volume, is 7,504 km3. In terms of sea-level equivalent (SLE), our volume estimates correspond to a potential contribution to sea-level rise within 17-20 mm SLE, averaging 19 _ 2 mm SLE, where the quoted error corresponds to our estimated relative error in volume. For comparison, the estimates using the V-A scaling relations found in the literature range within 13-26 mm SLE, averaging 20 _ 2 mm SLE, where the quoted error represents the standard deviation of the different estimates.

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El Niño phenomenon is the leading mode of sea surface temperature interannual variability. It can affect weather patterns worldwide and therefore crop production. Crop models are useful tools for impact and predictability applications, allowing to obtain long time series of potential and attainable crop yield, unlike to available time series of observed crop yield for many countries. Using this tool, crop yield variability in a location of Iberia Peninsula (IP) has been previously studied, finding predictability from Pacific El Niño conditions. Nevertheless, the work has not been done for an extended area. The present work carries out an analysis of maize yield variability in IP for the whole twenty century, using a calibrated crop model at five contrasting Spanish locations and reanalyses climate datasets to obtain long time series of potential yield. The study tests the use of reanalysis data for obtaining only climate dependent time series of crop yield for the whole region, and to use these yield to analyze the influences of oceanic and atmospheric patterns. The results show a good reliability of reanalysis data. The spatial distribution of the leading principal component of yield variability shows a similar behaviour over all the studied locations in the IP. The strong linear correlation between El Niño index and yield is remarkable, being this relation non-stationary on time, although the air temperature-yield relationship remains on time, being the highest influences during grain filling period. Regarding atmospheric patterns, the summer Scandinavian pattern has significant influence on yield in IP. The potential usefulness of this study is to apply the relationships found to improving crop forecasting in IP.