Artículos (Geografía Física y Análisis Geográfico Regional)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/11231

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Transición energética en espacios naturales protegidos andaluces
(2023) Díaz Cuevas, María del Pilar; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional
Energías renovables y modelo energético, una perspectiva desde la sostenibilidad
(2010) Díaz Cuevas, María del Pilar; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional
En la actualidad, las energías renovables forman parte de las estrategias adoptadas para fomentar el cambio hacia un nuevo sistema energético, más efi ciente y diversifi cado. Esta aportación analiza el papel de la energía eólica en este proceso de transición y como una mejor gestión del territorio, donde el uso de los Sistemas de Información Geográfi ca (SIG) constituye una herramienta fundamental, puede contribuir a acelerar la implantación de un nuevo modelo energético, caracterizado por la sostenibilidad. Palabras clave: energías renovables, sistema energético, territorio, Sistemas de Información Geográfi ca (SIG), sosteniblidad.
Geografía de la energía solar en Andalucía (Sur de España): Nuevos datos y posibilidades de análisis
(2023-07-26) Díaz Cuevas, Pilar; Pérez Pérez, Belén; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional
El presente trabajo realiza un análisis de la distribución territorial y la superficie ocupada por las centrales solares instaladas en Andalucía a fecha de 2019. Entre los principales resultados, destaca la diferencia en los patrones de consumo de suelo por tipo de central detectándose, entre otros aspectos, un mayor promedio de con-sumo de suelo de las centrales termosolares respecto al resto de centrales. Asimis-mo, se han identificado los municipios en los que la presencia de estas instalaciones ocupa hasta 15% de suelo. La información espacial generada, que se corresponde con la digitalización de los polígonos de centrales solares en Andalucía, completada con información alfanumérica sobre el tipo de central y la potencia instalada, se pone a disposición para su uso por parte de investigadores y académicos, así como para las autoridades responsables de la ordenación y gestión del territorio. El ac-ceso y la reutilización de la información se garantizan mediante un mapa web con servicios Web Feature Services (WFS) que permitirá, no sólo la geovisualización, sino también la descarga de datos. La disponibilidad de esta información consi-gue superar los análisis realizados hasta el momento, basados en una capa puntual procedente de la Agencia Andaluza de la Energía y distribuida por el Instituto de Estadística y Cartografía de Andalucía. Además, el mapa web permitirá, a usuarios no expertos en Sistemas de Información Geográfica, valorar la intensidad de la im-plantación y argumentar la preocupación social derivada de la instalación de este tipo de centrales sobre el territorio andaluz.
Characterizing collaborative mapping projects. A methodological framework for analyzing volunteered geographic information and spatial data infrastructure convergence
(2024) Pedregal Mateos, Belén; Orozco Frutos, Gabriel; Osorio Arjona, Joaquín; Díaz Cuevas, María del Pilar; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional
In this article, we compile and characterize a total of 43 collaborative web map projects by a set of parameters that enable the understanding and comparability of current and future projects. We then develop a comprehensive methodological framework to explore volunteered geographic information (VGI) and spatial data infrastructure (SDI) convergence based on this review. The main results show the dominance of citizen science projects, followed by initiatives promoting sustainability values, local development, and governance. Although values remain low, the potential to achieve convergence in VGI–SDI features is very high in citizen science projects, where the presence of experts and the funding of these projects by governments and decision-making entities enable quality standards in the collection and distribution of the contributed information. The work concludes by addressing two major challenges facing current VGI projects: firstly, accessing affordable technological solutions that allow the creation of collaborative web maps with SDI-like functions. Secondly, guaranteeing the project's sustainability and the preservation of the information gathered.
Methodology for selecting potential CO2 sinks in Macaronesia: The case of Gran Canaria
(Elsevier, 2024-12) Oladipo, Seun; Quesada Ruiz, Lorenzo Carlos; Caparrós Santiago, José Antonio; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Carbon dioxide (CO2) accounts for 80% of the greenhouse gas emissions in the atmosphere. One of the several ways to mitigate CO2 emissions is through afforestation, which prevents catastrophic environmental consequences. The mean average emission per tourist in the Canary Islands on their way to the islands is 0.48 Tn. Like most urban cities, the island of Gran Canaria faces the problem of CO2 emissions due to anthropogenic and human activities. Vegetation coverage significantly influences the distribution of temperature. The correlation between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) of Gran Canaria, using satellite images from Landsat 8 and Sentinel-2, revealed a strong inverse relationship within all land use types, with an R2 value of 0.39. Land suitability analysis is a prerequisite for optimum utilization of available land resources. This study developed a suitability map for afforestation based on land use land cover, topographic, meteorologic, and socio-economic factors. Eight factors, including distance from settlements, land use, distance from the road, distance from water, elevation, slope, precipitation, and temperature, were employed according to previous studies, expert consultation, and land suitability mapping experience. After the criteria decision and data acquisition, maps of each criterion were created and transformed using the Suitability Modeler of ArcGIS Pro. The current study results show that 87% of the total area is suitable for afforestation and reforestation projects in Gran Canaria. Instead of using reactive methods to lessen the effects, the study recommends a proactive approach to climate adaptation through nature-based solutions. The study is part of an umbrella project of the Canary Islands and Spain in general, which considers the contributions of local and institutional stakeholders at different stages of the project. The next stage will be to design a forest afforestation and reforestation project, considering the kind of tree species needed, the methods required to implement it, and the management guidelines about the initial years of installation and growth of the new trees. The most crucial technical choice is which forest species to choose, as it will determine the success of the reforestation effort. The new revegetated space's ability to sequester carbon dioxide will primarily rely on the productivity of the land used for forest reforestation, the species chosen, and the introduced planting density.
A controversial legacy from the Romantic period. Al-Andalus echoes in films featuring tourists (1905-1975)
(CSIC, 2025-02-07) Fernández Tabales, Alfonso; Puche Ruiz, María del Carmen; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia e Innovación (MICIN). España; Agencia Estatal de Investigación. España; Unión Europea; Universidad de Sevilla. HUM875: Estudios Territoriales y Turísticos
The central theme of the article is the role of the image of Al-Andalus in shaping the archetypes of Spain and Andalusia, and more specifically in the tourist image of the latter. Thus, the main objective of this article is to show the historical process through which the idea of and the features associated with Al-Andalus have become one of the components of the tourist image of Spain and, fundamentally, of Andalusia throughout most of the 20th century. Furthermore, the secondary objectives are to analyse the intense debate, running since the beginning of the 19th century, about the image of Al-Andalus among Spanish intellectuals; and analyse the (re)production of “phantom image” linked to Al-Andalus in films with tourists, using a qualitative method of film image analysis that can be considered novel (Grounded Theory built through visual analysis with NVivo software).
Calibration of GEDI footprint aboveground biomass models in Mediterranean forests with NFI plots: A comparison of approaches
(Elsevier, 2025-02) Pascual, Adrián; May, Paul B; Cárdenas Martínez, Aarón; Guerra Hernández, Juan; Hunka, Neha; Bruening, Jamis M.; Healey, Sean P.; Armston, John D.; Dubayah, Ralph O.; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Observations from the NASA Global Ecosystem Dynamics Investigation (GEDI) provide global information on forest structure and biomass. Footprint-level predictions of aboveground biomass density (AGBD) in the GEDI mission are based on training data sourced from sparsely distributed field plots coincident with airborne laser scanning surveys. National Forest Inventories (NFI) are rarely used to calibrate GEDI footprint biomass models because their sampling and positional accuracy prevent accurate colocation with GEDI or ALS. This mission can limit the harmonization of jurisdictional biomass estimates from NFI’s and GEDI; however, there are methods available to improve the colocation of NFI plots with GEDI footprints. Focusing on Mediterranean forests in Spain, we compared different approaches to the collocation of NFI and GEDI data: (i) simulated waveforms from ALS; (ii) nearest-neighbor on-orbit GEDI waveforms; and (iii) imputed GEDI waveforms imputed to NFI plot locations using a novel geostatistical method. These methods are potential solutions to improve the local performance of biomass models and address potential local systematic deviations between GEDI and NFI estimates. We assess the advantages and limitations of these methods to locally calibrate GEDI biomass models and quantify the impact of geolocation errors in reference NFI plot data. The new biomass models from each method were used to predict footprint level AGBD, which were then gridded for a province in the North-West of Spain. It was found that the imputation approach is not sensitive to common errors in NFI plot geolocation, but it can outperform ALS-based simulation in some cases, highlighting the benefit of information from multiple GEDI footprints proximate to NFI plots for improving biomass predictions. This research provides users with benchmark of available techniques to locally-calibrate GEDI footprint biomass models.
La energía eólica en Andalucía. Incidencia en espacios naturales, paisaje y territorio. ¿Hacia una generación distribuida?
(Consejo Superior de Investigaciones Científicas: Instituto de Economía y Geografía, 2024-12-30) Pérez-Pérez, Belén; Díaz Cuevas, María del Pilar; Márquez-Sobrino, Patricia; Camarillo Naranjo, Juan Mariano; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia, Innovación y Universidades (MICIU). España; Unión Europea; Universidad de Sevilla. HUM875: Estudios Territoriales y Turísticos; Universidad de Sevilla. RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
En este trabajo se digitalizan, mediante el uso de Sistemas de Información Geográfica (SIG), los aerogeneradores instalados en Andalucía en 2019, poniéndolos a disposición de la comunidad científica y del público en general. A continuación, se realiza una revisión documental y cartográfica de los planes de ordenación de los recursos naturales de los espacios protegidos de la región (RENPA y Red Natura 2000), analizando de forma espacial las limitaciones establecidas para la implantación de parques eólicos, para valorar si las infraestructuras eólicas cumplen con las restricciones ambientales determinadas en estos instrumentos. También se analiza el grado de afección de las infraestructuras eólicas a las distintas categorías paisajísticas y a los municipios de Andalucía. Los resultados muestran que los parques eólicos cumplen con los requisitos de la planificación de los espacios RENPA y Red Natura 2000 en Andalucía, si bien hay 314 aerogeneradores que se localizan en zonas de máxima sensibilidad ambiental según la zonificación establecida por el MITECO. Estas infraestructuras no están equidistribuidas en la región, concentrándose especialmente en las categorías paisajísticas serranías y campiñas y en los municipios de menos de 5000 habitantes, que son los menos consuntivos de energía. Se constata la dualidad del modelo energético actual, que por un lado apuesta por una generación distribuida y por otro reproduce la concentración infraestructural del anterior modelo, poniendo unos territorios al servicio de otros, lo que genera la marginación de lo local a través de una injusticia distributiva, procedimental y retributiva.
Urban heat stress in the context of socioeconomic and environmental challenges: Heat risk analysis and online surveys in northwestern Portugal
(Elsevier, 2025) Lopes, Hélder S.; Silva, Pedro F.; Pinto, B. G.; Díaz Cuevas, María del Pilar; Ribeiro, V.; Remoaldo, P.; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Fundação para a Ciência e a Tecnologia (FCT); Universidad de Sevilla. HUM875: Estudios Territoriales y Turísticos
The issue of Urban Heat Stress (UHS) is becoming increasingly critical, with the rising frequency and intensity of heatwaves serving to exacerbate the problem. It is of the utmost importance to gain insight into the preparedness levels of urban populations if we are to foster resilient cities. However, research on the perceived impacts of heat among city dwellers remains limited, particularly studies that integrate both objective and subjective assessments. To address this gap in the literature, a survey was conducted in Porto and Braga, two major cities in northwestern Portugal, after categorising the risk levels associated with extreme heat. The objective of the survey was to identify personal characteristics associated with knowledge about heatwave protection and preferred communication channels for receiving related information. The online household survey yielded 613 responses, with 365 from Braga and 248 from Porto. It focused on how different socioeconomic groups are impacted by heat stress and the relationship between perceived heat impacts and indicators of exposure and vulnerability across the different groups. The findings indicated that demographic groups typically perceived as vulnerable exhibited the highest levels of exposure and susceptibility to heat stress. The study indicates that respondents identified health authorities and civil protection agents as principal sources of information during extreme heat events. This emphasises the significance of targeted communication strategies aimed at vulnerable groups through these channels to enhance their comprehension of heatwave protection measures. These insights can facilitate the enhancement of urban resilience and the reduction of the impact of UHS, underscoring the necessity for policymakers to adopt more refined strategies in managing heat stress in urban environments.
Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)
(Cell Prex, 2023-09-15) Cobos-Mora, Sandra Lucía; Rodríguez Galiano, Víctor Francisco; Lima, Aracely; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad Católica de Cuenca; Instituto de Investigación Geológico y Energético; Universidad de Sevilla. RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Landslides are one of the natural phenomena with more negative impacts on landscape, natural resources, and human health worldwide. Andean geomorphology, urbanization, poverty, and inequality make it more vulnerable to landslides. This research focuses on understanding explanatory landslide factors and promoting quantitative susceptibility mapping. Both tasks supply valuable knowledge for the Andean region, focusing on territorial planning and risk management support. This work addresses the following questions using the province of Azuay- Ecuador as a study area: (i) How do EFA and LR assess the significance of landslide occurrence factors? (ii) Which are the most significant landslide occurrence factors for susceptibility analysis in an Andean context? (iii) What is the landslide susceptibility map for the study area? The methodological framework uses quantitative techniques to describe landslide behavior. EFA and LR models are based on a historical inventory of 665 records. Both identified NDVI, NDWI, altitude, fault density, road density, and PC2 as the most significant factors. The latter factor represents the standard deviation, maximum value of precipitation, and rainfall in the wet season (January, February, and March). The EFA model was built from 7 latent factors, which explained 55% of the accumulated variance, with a medium item complexity of 1.5, a RMSR of 0.02, and a TLI of 0.89. This technique also identified TWI, fault distance, plane curvature, and road distance as important factors. LR’s model, with AIC of 964.63, residual deviance of 924.63, AUC of 0.92, accuracy of 0.84, and Kappa of 0.68, also shows statistical significance for slope, roads density, geology, and land cover factors. This research encompasses a time-series analysis of NDVI, NDWI, and precipitation, including vegetation and weather dynamism for landslide occurrence. Finally, this methodological framework replaces traditional qualitative models based on expert knowledge, for quantitative approaches for the study area and the Andean region.
Regional trajectories and disparities of the relationship between information society and sustainable development goals in Europe with the emergence of COVID-19
(Elsevier, 2025) Ruiz Rodríguez, Francisca; Lucendo Monedero, Ángel Luis; González Relaño, Reyes Manuela; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia e Innovación (MICIN). España; Universidad de Sevilla. HUM136: Estudios Geográficos Andaluces
This research analyses, from a spatio-temporal perspective, the evolution of the behaviour and disparities of European regions in relation to information and communication technologies (ICTs) by households and individuals and socioeconomic sustainability for the period 2011–2020. Three complex variables (factors), prepared on the basis of the data of official Eurostat on the Information Society and statistics on the Sustainable Development Goals (SDGs), are used to classify 231 regions for 2011, 2018 and 2020 through cluster analysis; and a synthetic index was constructed to compare and analyse the evolution of the behaviour of European regions. The results show that COVID-19 entailed: i) an increase in regional disparities evidenced by the increase in the number of groups of regions, the regions with a negative index and the differences between countries; and ii) a change in the characteristics of European regions that moved on from being defined by the use of advanced and basic ICTSs in the period 2011–2018 to a s Wang ation where aspects of social and economic sustainability predominated in 2020. These findings may help to apply EU policies more effectively by prioritising the regions that need to make a greater effort in the digitalisation of households and individuals and improve the levels of SDGs in their socio-economic dimension.
Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates
(Elsevier, 2024-05-15) Cañero, Francisco M.; Rodríguez Galiano, Víctor Francisco; Aragonés, David; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Ministerio para la Transición Ecológica y el Reto Demográfico. España; Ministerio de Asuntos Económicos y Transformación Digital. España; Universidad de Sevilla. RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Soil spectroscopy estimates soil properties using the absorption features in soil spectra. However, modelling soil properties with soil spectroscopy is challenging due to the high dimensionality of spectral data. Feature Selection wrapper methods are promising approaches to reduce the dimensionality but are barely used in soil spectroscopy. The aim of this study is to evaluate the performance of two feature selection wrapper methods, Sequential Forward Selection (SFS) and Sequential Flotant Forward Selection (SFFS) built using the Random Forest (RF) algorithm, for dimensionality reduction of spectral data and predictive modelling of modelling soil organic matter (SOM), clay and carbonates. The reflectance of 100 soil samples, acquired from Sierra de las Nieves (Spain), was measured under laboratory conditions using ASD FieldSpec Pro JR. Four different datasets were obtained after applying two spectral preprocessing methods to raw spectra: raw spectra, Continuum Removal (CR), Multiplicative Scatter Correction (MSC), and a so-called “Global” dataset composed of raw, CR and MSC features. The performance of RF models built with feature selection methods was compared to that of Partial Least Squares Regression (PLSR) and RF (alone). RF models built with SFS and SFFS outperformed PLSR and RF alone models: The best RF models with feature selection had a respective ratio of performance to interquartile distance of 1.93, 0.38 and 2.56. PLSR models had an accuracy of 1.41, 0.29 and 1.81 for SOM, carbonates, and clay, respectively. RF alone had a respective performance of 1.29, 0.29 and 1.81. The application of feature selection wrapper methods reduced the number of features to less than 1 % of the starting features. Features were selected across all spectra for SOM and clay, and around 900 nm, 1900 nm, and 2350 nm for carbonates. However, feature selection highlighted features around 1100 nm in SOM modelling, as well as other features around 2200 nm, which is considered a main absorption feature of clay. The application of feature selection with Random Forest was very important in improving modelling accuracy, reducing the redundant features and avoiding the curse of dimensionality or Hughes effect. Thus, this research showed an alternative to dimensionality reduction approaches that have been applied to date to model soil properties with spectroscopy and paves the way for further scientific investigation based on feature selection methods and machine learning.
Servicios y ciudades en Andalucia. Notas metodológicas
(Universidad de Sevilla, 2001) Cano García, Gabriel M.; Jordá Borrell, Rosa María; Ventura Fernández, Jesús; Ruiz Rodríguez, Francisca; Miranda Bonilla, José; Navarro Luna, Javier; Moreno Navarro, Jesús Gabriel; España Ríos, María Inmaculada; Posada Simeón, José Carlos; Lucendo Monedero, Ángel Luis; González Relaño, Reyes Manuela; García Gómez, Antonio; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. HUM136: Estudios Geográficos Andaluces
Rural exodus and land use change in northern Morocco: 2000–2020
(Springer, 2022-06-08) Moreno Navarro, Jesús Gabriel; Targuisti El Khalifi, Kamal; Ventura Fernández, Jesús; Hilal, Ismail; López Magán, Eduardo; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. HUM136: Estudios Geográficos Andaluces
The implementation of the Urban Development Master Plan, SDAU (Schema Directeur d’Amenagement Urbain) in the Tangier-Tetouan region has marked a radical change in the territorial organization of these provinces: this process that began in 2004 with the construction of the port of Tanger-Med, and the infrastructures to support the port and related industrial areas. This action has meant the change of administrative boundaries as the project progressed. Although the demographic dynamics throughout the Kingdom of Morocco is a process of rural exodus, this migratory pattern is more intense in northern Morocco. The Andalusian Geographical Studies group of the University of Seville, together with Abdelmalek Essaadi University, has investigated the impact of such planning on spatial planning in a framework of international university cooperation since 2002. This article will update previous research based on remote sensing techniques and demographic statistics that analyze the changes that occurred over the last two decades. These changes consist of more than a massive displacement of the rural population toward the large cities and coastal towns. It also means the construction of large infrastructures, holiday houses, and a new pattern of settlement in rural areas. This article aims to describe these changes, as well as the trends in the immediate future, using statistical analysis and the evolution of land uses with GIS and remote sensing tools.
GIS analysis of the Andalusian rail trails accessibility from motorhome areas
(Elsevier, 2023) Moreno Navarro, Jesús Gabriel; Ventura Fernández, Jesús; López Magán, Eduardo; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. HUM136: Estudios Geográficos Andaluces
The symbiosis between motorhome tourism and cycle tourism on the rail trails is not reflected in the development strategies to promote these old railway infrastructures. The project “New models of intermodal mobility and tourist use of Andalusian rail trails: application of an explanatory, predictive and spatial methodology”, uses GIS tools and web-scrapping as an essential resource to obtain results. This paper shows results from the use of these two techniques to highlight a relationship that is ignored by the planners of the promotion strategies that have been implemented in the last twenty years about the rail trails in Andalusia. The results, based on the analysis of the primary information prepared by the authors, demonstrate that the symbiosis has occurred spontaneously without any prior planning. This paper presents also a necessary conceptualization to identify the elements that participate in this symbiosis and to develop the GIS model for further analysis. The project is financed by the Department of Economy Knowledge, Business and Universities of the Government of Andalusia.
El Corredor Atlántico y la cohesión territorial andaluza. Estado de la cuestión
(Universidad de los Andes y Venezuela, 2023) Nuevo López, Abraham; Ventura Fernández, Jesús; Gavira Narváez, Antonio; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. HUM136: Estudios Geográficos Andaluces
Este trabajo tiene como finalidad principal examinar la importancia que reviste el Corredor Atlántico para la cohesión territorial de Andalucía, así como su relación con el problema de la accesibilidad a las redes logísticas y de transportes de esta región. Metodológicamente, es un artículo de revisión sobre el grado de cumplimiento del desarrollo del Corredor Atlántico en la comunidad autónoma andaluza, teniendo en cuenta para ello los planes y las políticas públicas implementados para Andalucía en tres niveles de administraciones públicas: autonómico, estatal y comunitario-europeo. Se concluye que, si bien el Corredor Atlántico goza en la actualidad de menor relevancia en comparación con el Corredor Mediterráneo (aún en proceso de desarrollo), constituye no obstante una acción relevante para la mejora de la cohesión territorial de la región, al optimizar el flanco atlántico de Andalucía desde el punto de vista económico, social y logístico.
La energía solar: ¿Un nuevo uso ordinario del medio rural? Ocupación de suelos agrícolas en el sur de España
(Editorial de la Universidad de Sevilla, 2024) Pérez-Pérez, Belén; Díaz Cuevas, María del Pilar; Martín Peinado, Francisco José; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia, Innovación e Universidades; Agencia Estatal de Investigación; Unión Europea
La necesidad de cumplir con los objetivos europeos para sustituir las fuentes de energías no renovables por fuentes de energía renovable está llevando a la ocupación de suelos en el ámbito rural. En este contexto, los municipios de carácter eminentemente agrario encuentran que sus suelos están desprotegidos ante el modelo en el que se está basando la actual transición energética. Este trabajo analiza la distribución de las instalaciones solares fotovoltaicas y térmicas en Andalucía de más de 10 MW, la capacidad de uso de los suelos sobre los que se encuentran y los cambios de uso, para conocer si se han producido pérdidas de suelos de mayor capacidad. Los resultados muestran la desigual distribución de estas instalaciones en Andalucía, encontrando que estas se ubican en 52 de los 785 municipios andaluces. Asimismo, el 69,6% de las plantas solares fotovoltaicas y el 90,9% de las termosolares ocupan suelos catalogados como con buena capacidad de uso (categorías S1 y S2), lo que supone una importante pérdida de tierras productivas. Se establece la necesidad de que las administraciones responsables desarrollen normativas específicas que hagan compatible las necesidades energéticas con la preservación de los suelos agrícolas.
Identifying major phases in the use of land, energy and changing landscapes by agrarian societies (7,000 cal BP-Present) in Cantabrian Spain, based on cultural changes and anthropogenic signals
(FRONTIERS MEDIA SA, 2024-02-26) Martínez, Alexandre; Zapolska, Anhelina; Arthur, Frank; Verhagen, Philip; Kluiving, Sjoerd; Muñoz Rojas, José; Borja Barrera, César; Fraile Jurado, Pablo; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Foundation for Science and Technology (FST); Universidad de Sevilla. RNM273: Cuaternario y Geomorfología; Universidad de Sevilla. RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Cartografía biogeomorfológica de manglares tropicales: litoral de la provincia de Chiriquí (Panamá)
(Universidad de Zaragoza, 2024-12-30) Diaz del Olmo, Fernando; Cámara Artigas, Rafael; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. RNM915: Estudios tropicales y biogeografía; Universidad de Sevilla. RNM273: Cuaternario y geomorfología
El objetivo de la investigación es elaborar una cartografía de unidades biogeomorfológicas del manglar de Chiriquí en la costa del pacífico de Panamá. Para su realización se ha desarrollado un trabajo de campo para apoyar la fotointerpretación de fotogramas aéreos, y clasificación de imágenes de satélite, cuyos resultados se han expuesto en una cartografía apoyada en un Sistema de Información Geográfica. Como resultado se ha desarrollado una cartografía con una leyenda de 14 unidades biogeomorfológicas, en la que se establece una relación entre las formaciones vegetales y su posición geomorfológica en los slikkes y schorre conformados por el flujo mareal. La evolución durante el Holoceno del manglar de Chiriquí ha dado lugar a diferentes unidades biogeomorfológicas en función de la dinámica natural del manglar.
Fluvial fragmentation and functional quality of the Guadalquivir River's right bank tributaries (Southern Spain)
(Taylor & Francis LTD, 2025-01-26) García Martínez, Belén; Vélez García, Enrique; Prieto Campos, Antonio; Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional; Universidad de Sevilla. RNM177: Ordenación del litoral y tecnologías de información territorial
The fragmentation of fish populations caused by dams has been extensively studied within the scientific community. However, there is limited data regarding the impact of riverine fragmentation on the loss of the functional quality of ecosystems, a key aspect for the optimal development of environmental, ecological, and landscape functions within river systems. In this context, an assessment of fragmentation was conducted across the Sierra Morena river network in the Guadalquivir basin using the Dendritic Connectivity Index (DCI). This analysis revealed that 88.4% of the network was disconnected from its regional base level, with 64.6% exhibiting a high degree of fragmentation. Furthermore, hydrogeomorphological alterations were investigated in three rivers from the basin Bembézar, Guadalbarcar, and Rivera de Huéznar—characterized by different levels of fragmentation. Hydrological data from the period 2010-2021 were analyzed, and geomorphological diagrams were created to compare the functional floodplains of the three rivers in both pre-dam (1956) and post-dam (2010) conditions. Preliminary results indicate a strong correlation between the fragmentation level and various parameters: the degree of hydrological regulation (r = 0.98), reduction in flow circulation (r= 0.86), sediment retention (r = 0.92), and the loss of floodplain functionality (r = 0.86). Moreover, a very strong correlation (r = 0.999) was found between fragmentation and the decline in functional quality across the studied rivers.

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