Artículos (Geografía Física y Análisis Geográfico Regional)

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

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Deriving crop calendars from satellite phenology and unsupervised learning: an application to Andalusia (Spain)
(Elsevier, 2026-03-15) García Pérez, Miguel Ángel; Rodríguez Galiano, Víctor Francisco; Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia, Innovación y Universidades (MICIU). España; RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Timely and accurate crop calendars are essential for optimizing agricultural practices and improving food security. Traditional calendar generation methods, based on field surveys, are often spatially limited and time-consuming. In this study, we present a replicable methodology to derive crop calendars using Land Surface Phenology (LSP) metrics extracted from Sentinel-2 imagery and unsupervised classification techniques. The analysis was conducted over Andalusia (Spain), a European NUTS-2 region characterized by high agroclimatic diversity and complex cropping systems. We computed Enhanced Vegetation Index 2 (EVI2) time series for more than one million agricultural plots and derived phenological metrics (start, middle, and end of season) using a double-logistic model. To address the circular nature of phenological data (expressed in Julian days), we applied sine and cosine transformations prior to clustering. Six phenological groups were identified using k-means, and a classification tree (CART) was used to interpret the clustering structure. The satellite-derived calendars were validated against official field-based calendars and showed high agreement for arable crops. The proposed approach allows for the generation of scalable, up-to-date, and spatially explicit crop calendars that can support agricultural monitoring systems, inform policy making, and enhance digital farming tools. © 2026 The Author(s)
From maritime scholarship to marine governance: Academic contributions to marine spatial planning in Spain
(Elsevier, 2026-06) Fraile Jurado, Pablo; Geografía Física y Análisis Geográfico Regional; RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
This paper traces the evolution of marine spatial planning (MSP) in Spain, from early geographical reflections on the territoriality of the sea to the institutional implementation of legally binding marine spatial plans. Building on the tradition of maritime geography, Spanish scholarship conceptualized the ocean as a political and spatial domain long before MSP emerged as a formal policy tool. The paper situates this intellectual lineage within the Europeanization of marine policy and the establishment of the Planes de Ordenacion ´ del Espacio Marítimo (POEMs) in 2023. By combining theoretical, cartographic, and administrative perspectives, it highlights how Spain’s trajectory exemplifies the convergence between academic innovation and policy implementation. The analysis underscores both the achievements and the ongoing challenges of developing a coherent, adaptive framework for marine governance in a multilevel European context.
Local news as a tool to understand media communication of historical droughts. A case study in Sevilla, Spain
(Springer Nature, 2026-01-26) Serrano Acebedo, Paula; Limones Rodríguez, Natalia; Langa-Nuño, Concha; Geografía Física y Análisis Geográfico Regional; Historia Contemporánea; HUM396: Estructuras y Sistemas Territoriales; SEJ070: Historia Crítica del Periodismo Andaluz (HICPAN)
Droughts are increasingly relevant hydroclimatic risks in southern Spain, exacerbated by climate change. This study analyses two severe drought episodes in 1995 and 2005 at a local level from both a hydrometeorological and media perspective. The methodology includes the SPEI and DEPI indices to assess drought severity and analyse the frequency of media coverage on the topic. Additionally, it examines how key issues such as water restrictions, agricultural impacts, hydrological plans, public awareness, and climate change were reported. A combined quantitative and qualitative approach was used, correlating drought intensity with media coverage volume while analysing the discourse and its bias. This integrated perspective provides insights into the evolution of media coverage and communication of droughts. The SPEI results reveal a strong connection between drought intensity and media attention, with broader coverage during periods of extreme conditions. Meanwhile, the DEPI index effectively captures the onset and conclusion of droughts. The findings indicate a collective learning process regarding hydroclimatic risks over time, since media coverage has progressively included more content related to planning and preparedness, rather than focusing only on extreme events with an alarmist tone. Furthermore, the study highlights a rising trend in framing drought as a climate change-related phenomenon, reflecting growing social awareness of these risks.
Integrating UAV-LiDAR and Field Experiments to Survey Soil Erosion Drivers in Citrus Orchards Using an Exploratory Machine Learning Approach
(MDPI, 2025-12-14) Rodrigo-Comino, Jesús; Cambronero Ruíz, Laura; Moreno-Cuenca, Lucía; González Vivar, Jesús; González Moreno, María Teresa; Rodríguez Galiano, Víctor Francisco; Geografía Física y Análisis Geográfico Regional; Junta de Andalucía; Ministerio de Ciencia, Innovación y Universidades (MICIU). España; RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Citrus orchards are especially vulnerable owing to low inter-row vegetation cover, and frequent tillage. Here, we combine controlled field experiments with proximal remote sensing–derived geomorphometric variables and machine learning (ML) to identify key factors of erosion in a Mediterranean climate citrus plantation located close to Seville and the National Park of Doñana (Southern Spain) on Gleyic Regosols (clayic, arenic). We conducted rainfall simulations with 30 s sampling, measured infiltration (mini-disc infiltrometer), saturated hydraulic conductivity (Kfs; Guelph permeameter), compaction (penetrologger), and soil respiration (gas analyzer) at multiple points, and derived high resolution morphometric indices from proximal sensing (UAV-LiDAR). Linear models and Random Forests were trained to explain three responses: soil loss, sediment concentration (SC), and runoff. Results show that soil loss is most strongly associated with maximum compaction and Kfs (multiple regression: R2 = 0.68; adjusted R2 = 0.52; p = 0.063), while SC increases with surface compaction and exhibits weak relationships with topographic metrics. Runoff decreases with average infiltration, which is related to compaction (β = −4.83 ± 2.38; R2 = 0.34; p = 0.077). Diagnostic checks indicate centered residuals with mild heteroscedasticity and a few high leverage observations. Random Forests captured part of the variance for soil loss (≈29%) but performed poorly for runoff, consistent with limited sample size and modest nonlinear signal. Morphometric analysis revealed gentle relief but pronounced convergent–divergent patterns that modulate hydrological connectivity. There were strong differences in the experiments conducted close to the trees and in the tractor trails. We conclude that compaction and near surface hydraulic properties are the most influential and measurable controls of erosion at plot scale and the UAV-LiDAR could not give us extra-insights. We highlight that integrating standardized field protocols with proximal morphometrics and ML can be the best method to prioritize a small set of explanatory variables, helping to reduce experimental effort while maintaining explanatory power.
Mental Health Benefits of Blue Spaces Exposure: results from a moderated mediation analysis using the Aubs Survey
(Ilse van Liempt and Michiel van Meeteren, 2025-09) Kruja, Samel; Braçe, Olta; Garrido Cumbrera, Marco; Kokthi, Elena; Geografía Física y Análisis Geográfico Regional; HUM981: Health & Territory Research; ORDENACION DEL LITORAL Y TECNOLOGIAS DE INFORMACION TERRITORIAL - RNM-177 (GOLYTIT)
Urban blue spaces are increasingly recognised as important determinants of mental health. This empirical study investigates the mental health benefits of blue space exposure in Shkodra, Albania. Data from 534 respondents were collected through the Albanian Urban Blue Spaces (AUBS) Survey. A moderated mediation analysis was conducted to test whether physical activity and sleep quality mediate the relationship between blue space exposure and psychological distress and whether life satisfaction, lifestyle habits and demographic factors moderate these pathways. Results indicate that blue space exposure directly improves mental health, while physical activity and sleep quality do not serve as mediators. The relationship was significantly moderated by life satisfaction, lifestyle habits and education. Better health outcomes occurred when individuals reported approximately 110 min of blue space exposure, combined with healthier lifestyle behaviours and higher education levels. The findings highlight the role of blue spaces in urban planning and public health policy.
Spatial bibliometric assessment of mediterranean seabed mapping research: hubs and gaps
(Springer Nature, 2026-03-04) Chirigui, Aymen; Fraile Jurado, Pablo; Villarin Claveria, María Cleofé; Geografía Física y Análisis Geográfico Regional; RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Accurate knowledge of the seafloor is fundamental for understanding marine geomorphology, ecosystem distribution, and sustainable use of ocean resources, yet knowledge distribution remains uneven across ocean basins. This study presents the first spatially explicit bibliometric analysis of seafloor-mapping research (i.e., bathymetric studies) in the Mediterranean Sea, synthesizing georeferenced studies from nearly 700 peer-reviewed publications (1966–2020). Using GIS-based mapping and a novel classification matrix combining research density and impact metrics, the study quantifies geographic disparities in data coverage and research contribution. Results highlight strong geographic imbalances in research effort, with high-output “Consolidated High-Impact Hubs” concentrated in limited regions, while extensive “Underrepresented Areas” persist elsewhere. Importantly, research impact does not consistently align with studies density: some low-output zones host high-impact research, whereas certain high-density areas show weaker alignment between volume and influence of research effort. These findings highlight both structural and methodological imbalances in seafloor mapping research and underscore the need for more geographically balanced and integrated bathymetric research efforts. The framework developed here provides a transferable approach to other regional seas for evaluating the spatial distribution and impact of seabed-mapping research in marine geosciences. It provides a quantitative baseline for directing future mapping initiatives, optimizing collaborative surveys, and improving the representativeness of seabed data across the Mediterranean Sea and its regional basins.
Recent Trend and Outlook of Tourist Accommodations in Spain at Various Scales: The Challenges of Touristification in Andalusian Municipalities
(MDPI, 2025-06-16) Ventura Fernández, Jesús; Quetglas Llull, Llorenç; Gavira-Narváez, Antonio; Geografía Física y Análisis Geográfico Regional; ESTUDIOS GEOGRÁFICOS ANDALUCES - HUM-136 (EGA)
As a globe leader in tourism, Spain relies on this sector as a key economic pillar, contributing over 12% to its GDP. The hospitality industry has expanded steadily in response to growing demand. In parallel, recent years have witnessed an exponential rise in tourist accommodations, such as privately owned properties repurposed for shortterm rentals, largely facilitated by digital platforms. This study explores the evolution and spatial distribution of these accommodations, assessing their share within the overall housing stock across different scales. The focus is on Andalusian municipalities, a region characterized by both its geographical diversity and its significant tourism footprint. This study highlights two primary areas of concentration: the region’s Atlantic and Mediterranean coastlines (most notably the Costa del Sol, centered in Malaga) and internationally renowned heritage cities such as Seville, Granada, and Cordoba. By applying quantitative methods, this research assesses the clustering of tourist accommodations in relation to major cultural landmarks, including several UNESCOWorld Heritage Sites. The findings provide an analysis of the implications of this trend, shedding light on the challenges and opportunities it presents within the tourism sector, particularly against the backdrop of mounting criticism surrounding the sustainability and socio-economic impacts of this evolving model of tourism.
The Assessment of SpondyloArthritis International Society (ASAS) Consensus-Based Expert Definition of Difficult-to-Manage, including Treatment-Refractory, Axial Spondyloarthritis
(Elsevier, 2025-01-16) Poddubnyy, Denis; Navarro-Compán, Victoria; Torgutalp, Murat; Arends, Suzanne; Sibel Zehra, Aydin; Garrido Cumbrera, Marco; Heijde, Désirée van der; Geografía Física y Análisis Geográfico Regional; National Institutes of Health. United States; Health & Territory Research - HUM-981 (HTR)
Objectives: To develop a consensus‑based expert definition of difficult‑to‑manage (D2M) axial spondyloarthritis (axSpA), incorporating treatment‑refractory (TR) disease. Methods: A literature review was conducted in 2022 to identify potential definitions for D2M/TR axSpA from prior studies, followed by a 2‑round Delphi consensus process conducted in 2022 and 2023 to identify components of D2M axSpA. Based on the results of the Delphi process, a draft of the D2M axSpA definition was developed and presented to the expert task force, including patient representation, and subsequently to the Assessment of SpondyloArthritis International Society (ASAS) membership for endorsement in January 2024. Results: Consensus was reached on a D2M definition encapsulating treatment failure (treatment according to the ASAS–European Alliance of Associations for Rheumatology recommendations and failure of ≥2 biological or targeted synthetic disease‑modifying antirheumatic drugs with different mechanisms of action unless contraindicated), suboptimal disease control, and physician or patient acknowledgement of problematic signs/symptoms in patients diagnosed with axSpA by the rheumatologist. This definition represents a broad concept that includes various reasons that lead to an unsatisfactory treatment outcome. TR axSpA is covered by the D2M definition but requires a history of treatment failure, the presence of objective signs of inflammatory activity, and the exclusion of non‑inflammatory reasons for nonresponse. The proposed D2M definition incorporating TR disease was endorsed by ASAS at the annual meeting in January 2024, with 89% votes (109/123) in favour of it. Conclusions: The ASAS D2M axSpA definition, including TR disease, allows for identifying patients with unmet needs, paving the way for further research in this condition and its clinical care improvement.
Winds of change: Surfing prospects for offshore wind energy in coastal Spain (Cádiz)
(Elsevier, 2026-01) Pérez-Pérez, Belén; Rodríguez Segura, Francisco Javier; Osorio Aravena, Juan Carlos; Díaz Cuevas, María del Pilar; Frolova, Marina; Geografía Física y Análisis Geográfico Regional; HUM875: Estudios Territoriales y Turísticos
To accelerate the energy transition, Europe has adopted a strategy for deploy renewable energy onshore and offshore; however, in Spain, offshore wind energy has faced significant deployment challenges. This study aims to analyse whether public perception of offshore wind energy in the coastal areas of Tarifa and La Janda Litoral (Cádiz, Spain) has changed over the past decade. It also examines whether perceived impacts on local socioeconomic activities have influenced acceptance levels of that technology. The majority of respondents did not express a clear rejection or acceptance of offshore wind energy, with neutral or undecided responses accounting for 52 % of the sample in 2013 and 48 % in 2023. Nevertheless, the overall perception of this energy source improved over the decade: the proportion of positive responses rose from 24 % in 2013 to 33 % in 2023. Furthermore, most of the arguments against offshore wind energy projects weakened between 2013 and 2023. For example, the share of respondents who considered these projects incompatible with traditional uses of the sea fell from 46 % to 28 %, indicating a growing consensus on the possibility of reconciling offshore wind development with existing maritime activities. The study also highlights discrepancies between the views of local residents and those of stakeholders and media reports. Therefore, bottom-up strategies that involve the population from the earliest stages of planning can be key to achieving European energy policy goals. © 2025 The Authors
Touristification and studentification. New dialectics of urban segregation in historical university cities
(Elsevier, 2025-01-20) Piñeira Mantiñán, María José; Fernández Tabales, Alfonso; Mínguez, Carmen; Geografía Física y Análisis Geográfico Regional; Ministerio de Innovación, Ciencia y Empresa. España; Agencia Estatal de Investigación. España; ESTUDIOS TERRITORIALES Y TURÍSTICOS - HUM-875 (GIETT)
Historical university cities are suffering from strong tourism pressure which affects part of their resident and student populations. The proliferation of properties dedicated to tourism diminishes the availability of traditional rental options, leading to escalated prices. The objectives of the article are to analyse whether historical university cities have different features with respect to the impacts of tourism and if students have the same perception as social and political actors of the impact of touristification on the property market. Studentification and touristification have been analyzed in numerous studies but never together. It is based on the case of Santiago de Compostela, an emblematic university city of Spain and Cultural World Heritage Site. The problem has been examined by a student survey and debates with experts using a Citizen Science approach. Santiago de Compostela constitutes an example that ratifies the theoretical concepts and shows different perceptions. Students are concerned about the quality and price of housing, without identifying tourism as a cause of the problem, while the social agents appreciate to a greater extent the negative impacts of touristification on the housing market, and there is consensus among them with respect to the need to apply policies for their mitigation.
Assessing urban vegetation inequalities: Methodological insights and evidence
(Elsevier, 2025-05) González Marín, Alicia; Garrido Cumbrera, Marco; Geografía Física y Análisis Geográfico Regional; Junta de Andalucía; HUM981: Health & Territory Research
Vegetation indices have become increasingly popular in analyzing urban inequalities in access to and use of green spaces. However, the methodologies employed have been heterogeneous, leading to inconclusive or contradictory results. This study aims to conduct a scoping literature review of research that evaluates methodologies used to estimate the inequal distribution of vegetation in cities, providing evidence to establish standardized guidelines for the selection of data sources, methodologies and indicators. The review includes 66 articles published between 2004 and 2023 from various global regions. We identified 10 vegetation indices, with the Normalized Difference Vegetation Index (NDVI) being the most frequently used, typically derived from Landsat satellite data. The review highlights the importance of image acquisition times and temporal resolution in capturing dynamic urban environments. The spatial scale most adopted is the census block group, suitable for assessing urban inequalities. We observed substantial heterogeneity in the methodologies and statistical tools employed, with spatial autocorrelation analysis being the most common, followed by Pearson's and Spearman's correlation coefficients. ArcGIS was the most widely used GIS platform, closely followed by the cloud-based geospatial analysis platform Google Earth Engine, while R-Studio and Statistical Package for the Social Sciences (SPSS) were popular for statistical analysis. This study underscores the need for standardized methodologies to enhance the comparability and reliability of research on urban vegetation inequalities.
Diagnostic delay in patients from the international map of axial spondyloarthritis: geographic, socio-demographic and disease-related factors.
(Oxford University Press (OUP), 2025) Poddubnyy, D; Garrido Cumbrera, Marco; Sommerfleck, Fernando; Navarro-Compán, Victoria; Bundy, C; Makri, S; Correa Fernández, José; Akerkar, S; Karam, Elie; Geografía Física y Análisis Geográfico Regional; HUM981: Health & Territory Research
Objectives To assess diagnostic delay and its associated factors globally, in a large sample of patients included in the International Map of Axial Spondyloarthritis (IMAS). Methods IMAS is a cross-sectional online survey (2017–22) of 5557 axial spondyloarthritis (axSpA) patients from 27 countries. Diagnostic delay was calculated as the difference between age at diagnosis and age at first symptom onset reported by patients. Associations between diagnostic delay and regions, sociodemographic characteristics and disease-related factors were explored through univariable and multivariable linear regression analysis. Results Data from 5327 patients who reported data on diagnostic delay in IMAS survey were analysed: 3294 were from Europe, 752 from North America, 590 from Asia, 545 from Latin America and 146 from Africa. Overall, patients reported a mean diagnostic delay of 7.4 years (median: 4.0) since symptom onset, with substantial variation across regions; the highest delay was in South Africa and the lowest in Asia. The variables associated with longer diagnostic delay in the final multivariable regression model were: younger age at symptom onset (b = –0.100), female gender (b = 2.274), being diagnosed by a rheumatologist (b = 1.163), greater number of heathcare professionals (HCPs) seen before diagnosis (b = 1.033) and history of uveitis (b = 1.286). Conclusion In this global sample of axSpA patients the mean diagnostic delay was 7.4 years, and showed significant differences across regions. Younger age at symptom onset, female gender, diagnosis made by a rheumatologist, greater number of HCPs seen before diagnosis and history of uveitis were the parameters associated with a longer diagnostic delay in axSpA patients.
Identification of Potential Paleoislands in the Mediterranean Sea During the Last Glacial Cycle
(European Association of Geographers, 2025-07-04) Fraile Jurado, Pablo; Mejías García, Juan Carlos; Geografía Física y Análisis Geográfico Regional; RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
The Last Glacial Period (LGP) significantly altered sea levels and landscapes across the globe, with the Med-iterranean Sea being no exception. During this period, fluctuating sea levels exposed numerous landmasses, some of which may have served as critical habitats for plants, animals, and even human populations. This study aims to identify and analyze the potential paleo-islands that were emerged in the Mediterranean Sea during the LGP (115,000 –6,500 BP). Using high-resolution digital elevationmodels (DEMs) and bathymetric data, we reconstruct the Mediterranean’s paleogeography, focusing on the periods of maximum sea-level regression. A novel methodological approach was applied to determine the duration and extent of these paleo-islands, while filtering out uncertainties related to their size and elevation. Results show the existence of hundreds of potential paleo-islands, including larger landmasses that significantly expanded during this period. This research highlights the critical role theseislands played in biogeograph-ical processes, such as species migration and dispersal, and possibly in the migration patterns of early humans. Future work will focus on refining the data with localized sea-level curves and incorporating sedimentary and erosion pro-cesses into the analysis, providing a more comprehensive understanding of the Mediterranean’s geomorphological evolution
Desarrollo regional del sur de España: estrategias e integración en los ejes de desarrollo mediterráneos
(Agencia Española de Cooperación Internacional, 2023) Moreno Navarro, Jesús Gabriel; Geografía Física y Análisis Geográfico Regional; HUM136: Estudios Geográficos Andaluces
El sur de España es el sur del sur de Europa. De un pasado rico que se manifestó varios siglos, es hoy una región afectada por un determinismo histórico desfavorable que se concentra en los dos últimos siglos. Aparte de un breve marco teórico sobre desarrollo y regiones, el texto aborda el maltrato de esta región por parte de los poderes políticos y sus estrategias de planificación. Finalmente, nos enfrentamos a una situación periférica alejada de los centros de decisión que ignoran las capacidades aún provenientes de su ubicación estratégica. Se concluye con una crítica a los planteamientos que han dado lugar al diseño del Corredor Mediterráneo, que siguen desconociendo el antiguo potencial que alberga el primer puerto del Mar Mediterráneo y cuarto en el Ranking Europeo, en cuanto a tráfico de mercancías.
Displacement prediction of slow-moving landslides using InSAR and ensemble regression models based on slope units
(Springer, 2026) Cobos Mora, Sandra Lucía; Rodríguez Galiano, Víctor Francisco; Lombardo, Luigi; Geografía Física y Análisis Geográfico Regional; Universidad Católica de Cuenca; HUM177: Geografía y Desarrollo Regional y Urbano
Ground displacement is a key indicator of slope instability and plays a crucial role in mitigating landslides triggered by climate-related factors. Interferometric Synthetic Aperture Radar (InSAR) has become an essential tool for detecting and characterizing large-scale, slow-moving deformations. This study (i) characterizes ground deformation in an Andean region with known landslide activity using the Small Baseline Subset (SBAS) InSAR technique, and (ii) proposes a novel predictive framework for slow-moving displacements. Line-of-Sight (LOS) displacement time series (TS) from 2021 to 2023 were aggregated at the slope-unit scale based on mean and extreme values. Each TS was decomposed into trend and periodic terms and described using static and dynamic predictors, the latter computed over 7–28-day intervals. Both components were modeled using Extreme Gradient Boosting (XGBoost). InSAR-based characterization of the study area identified three zones exhibiting slow-moving deformation, with LOS velocities ranging from − 68 to 388.6 mm/year (ascending) and − 245.7 to 165.1 mm/year (descending). The predictive framework achieved high accuracy, particularly when using mean-based TS (MeanDts) for both terms. For the trend term, MeanDts achieved RMSE values of 4.18–4.74 mm, MAE values of 1.94–2.53 mm, and R2 ≥ 0.98. For the periodic term, RMSE ranged between 2.30 and 2.36 mm, MAE averaged 1.61 mm, and R2 reached 0.98. In contrast, the maximun-based series (MaxSignDts) series showed a marked performance decline for the periodic term. Model performance was highest in Zone 1, which includes the 2023 Causal - Alausí landslide. In this area, MeanDtsasc achieved RMSE = 0.81 mm, MAE = 0.61 mm, R2 = 0.999, Max Err = 2.35 mm, and Mean Err = 0.61 mm for the trend term; and RMSE = 0.88 mm, MAE = 0.64 mm, R2 = 0.998, Max Err = 2.62 mm, and Mean Err = 0.64 mm for the periodic term. Analysis of predictor importance revealed that precipitation, elevation, aspect, and proximity to faults influenced the trend term, with groundwater storage (Gws) exerting the strongest effect. For the periodic term, Gws remained the dominant driver, while precipitation contributed marginally. Overall, mean-based TS consistently outperformed maximum-based ones, with no consistent advantage observed between ascending and descending geometries. This framework provides spatially explicit, long-term deformation forecasts that can inform risk-based planning and the design of climate-resilient infrastructure in landslide-prone mountain regions.
Dialécticas de acción/reacción ante el overtourism. Políticas públicas y movimientos ciudadanos en la ciudad de Sevilla
(Ministerio de Energía y Turismo, 2025-07-10) Fernández Tabales, Alfonso; Santos Pavón, Enrique Luis; Geografía Física y Análisis Geográfico Regional; Unión Europea Agencia Estatal de Investigación; HUM875: Estudios Territoriales y Turísticos
El objetivo principal del artículo es analizar el discurso público y las decisiones políticas adoptadas ante el fenómeno de la turistificación y el overtourism en Sevilla, como caso relevante a nivel español y europeo. Este objetivo principal se busca a través de tres objetivos secundarios: identificar los principales agentes interesados en la temática en esta ciudad; seleccionar, a través de publicaciones en medios de comunicación, sus posiciones ante los aspectos claves del debate sobre los efectos de la turistificación en la misma; y obtener conclusiones acerca de los posicionamientos de los distintos agentes en relación con las políticas públicas adoptadas al respecto. La metodología empleada se basa en el análisis cualitativo del discurso, expresado por los distintos actores en medios de comunicación. Finalmente, la conclusión principal es que se ha producido un fallo global de la gobernanza en el tratamiento del problema, ya que, pese a que todos los agentes implicados señalan a nivel de discurso los peligros de la turistificación para la vida social de la ciudad, en la realidad se constata la incapacidad para aplicar medidas efectivas para hacer frente a dichos peligros.
Abordando la planificación territorial para la instalación de centrales de energía renovable (eólica-solar). Las zonas de aceleración de renovables en Andalucía
(Universidad de Alicante, 2026) Díaz Cuevas, María del Pilar; Pérez Alcántara, Juan Pedro; Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia, Innovación y Universidades (MICIU). España; Agencia Estatal de Investigación. España; HUM875: Estudios Territoriales y Turísticos
La expansión acelerada de las energías renovables en Andalucía ha generado una presión creciente sobre el territorio. Ante la ausencia de una planificación territorial efectiva, este estudio propone una metodología multicriterio aplicada al caso andaluz que identifica zonas a priori óptimas, de exclusión y de saturación para la instalación de parques eólicos y solares fotovoltaicos. Este análisis incorpora por primera vez en este contexto criterios vinculados a la protección de servicios ecosistémicos. Los resultados señalan la existencia de en torno a 3.700 km² a priori con alta y media compatibilidad para la instalación combinada de centrales de energía solar y eólica, que deberán ser analizados a escala de detalle. Este trabajo se alinea con el espíritu de la Directiva (UE) 2023/2413, al ofrecer una base territorial sobre la que fundamentar la delimitación futura de Zonas de Aceleración de Renovables, constituyendo esta zonificación una herramienta imprescindible para la planificación y la toma de decisiones en clave anticipatoria, pero se distancia de ella al cuestionar la simplificación de la tramitación ambiental de proyectos individuales en estas zonas, incluso contando con una evaluación ambiental estratégica previa. Se argumenta que, en el marco de una transición energética justa, es imprescindible considerar otras variables e impactos, cuyo tratamiento requieren de análisis más precisos, que deben realizarse en escalas más detalladas. Ignorar esta multiescalaridad puede conducir a decisiones territorialmente ineficaces, poco inteligentes o injustas.
Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island
(Taylor & Francis, 2022) Quesada Ruiz, Lorenzo Carlos; Rodríguez Galiano, Víctor Francisco; Zurita Milla, Raúl; Izquierdo Verdiguier, Emma; Geografía Física y Análisis Geográfico Regional; RNM177: Ordenación del Litoral y Tecnologías de Información Territorial
Land surface phenology as indicator of global terrestrial ecosystem dynamics: a systematic review
(Elsevier, 2021) Caparrós Santiago, José Antonio; Rodríguez Galiano, Víctor Francisco; Dash, Jadunandan; Geografía Física y Análisis Geográfico Regional; HUM177: Geografía y Desarrollo Regional y Urbano
Can land surface phenology from Sentinel-2 time-series be used as an indicator of Macaronesian ecosystem dynamics?
(Elsevier, 2023) Caparrós Santiago, José Antonio; Quesada Ruiz, Lorenzo Carlos; Rodríguez Galiano, Víctor Francisco; Geografía Física y Análisis Geográfico Regional; Ministerio de Ciencia e Innovación (MICIN). España; HUM177: Geografía y Desarrollo Regional y Urbano
Land surface phenology (LSP), the study of phenological patterns of vegetation using vegetation index (VI) time-series derived from multi-spectral satellite imagery, has helped to improve the understanding of the seasonal dynamics of terrestrial ecosystems from local to global scale. High spatial resolution satellite observations have emerged as a new possibility for monitoring the seasonal dynamics of heterogeneous ecosystems. Under-studied Macaronesian ecosystems have specific characteristics that make LSP estimation a complex task (e. g., frequent cloud cover, frequent presence of atmospheric aerosols, different degrees of vegetation density, diversity of plant species, landscape heterogeneity). Thus, this study aims to analyse the potential of LSP based on Sentinel-2 data to monitor the phenological dynamics of vegetation in the Macaronesian ecosystems of Canary Islands (Spain). NDVI time-series were generated using Sentinel-2 data from January 2018 to December 2021. NDVI time-series were smoothed using double logistic function. Three phenometrics, such as the start of the growing season (SOS), the end of the growing season (EOS) and the length of the growing season (LOS), were extracted using a threshold-based method (20%) only for pixels where the mean NDVI value of the smoothed four-year time-series was higher than 0.2. Growing season of the major of Macaronesian vegetation started between late summer and late autumn (start of the wet season) and ended between early spring and early summer (end of the wet season). The most representative Macaronesian tree species had a clear and marked seasonality, except for the laurel forest species. SOS of Juniperus phoenicea subsp. turbinata was slightly later than for Olea europaea var. sylvestris and Pinus canariensis, while the mean EOS was slightly later for Olea europaea var. sylvestris. The intra-specific variability of SOS and EOS in the laurel forests was very high. LSP derived from Sentinel-2 data contributed to understand the seasonal dynamics of the main Macaronesian ecosystems. However, the heterogeneity of laurel forests made it difficult the LSP estimation in laurel forests. Thus, complementary phenological approaches are suggested to improve the knowledge of the seasonal dynamics of this Macaronesian ecosystem.

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