The island of Gran Canaria (Spain) has undergone a significant transformation in wildfire dynamics over the past two decades, characterized by a decline in wildfire frequency but a marked increase in the severity and spatial impact of extreme events, particularly within the wildland–urban interface (WUI). This study analyzes wildfire activity between 2000 and 2020 using official datasets and statistical trend analyses, incorporating robust severity indicators and measures of burned area concentration. Results show a statistically significant decreasing trend in the number of wildfires, while burned area is extremely concentrated in a small number of high-intensity events, with four large wildfires accounting for more than 97% of the total affected area. Climatic influences on wildfire activity were assessed through the analysis of long-term meteorological indicators, focusing on trends in extreme heat days and precipitation as proxies for thermal stress and fuel moisture availability. The results indicate a substantial modification of the background climatic framework under which wildfires develop, although no direct causal relationships are inferred. In parallel, territorial processes—such as rural abandonment, increased fuel continuity, and the expansion of dispersed housing beyond consolidated settlements—act as key amplifiers of wildfire risk. Overall, the findings highlight a transition from emergency-oriented fire suppression toward resilience-based wildfire management, emphasizing the need to integrate climate adaptation, territorial planning, and stricter land-use regulation in WUI areas.

El sistema ES-Alert, implementado en las Islas Canarias, representa un avance en la comunicación de emergencias y la reducción del riesgo de desastres. Este estudio tiene como objetivo analizar cómo se ha percibido la implementación de este sistema dentro de la comunidad universitaria de la Universidad de Las Palmas de Gran Canaria, tras el simulacro del 26 de septiembre de 2024 organizado por el Centro Coordinador de Emergencias y Seguridad 112 del Gobierno de Canarias. A través de una encuesta dirigida a estudiantes, profesorado y personal técnico-administrativo y de gestión, se evaluaron aspectos como la claridad del mensaje, la utilidad percibida y la influencia de la percepción del riesgo en la respuesta ante la alerta. Se utilizó un muestreo no probabilístico por conveniencia, por lo que los resultados constituyen una aproximación exploratoria dentro del grupo universitario. Los hallazgos muestran que, entre los universitarios encuestados, el 87% considera útil el sistema, aunque un 31% identificó oportunidades de mejora en la claridad del mensaje y un 42% indicó que su reacción dependería del tipo de emergencia, lo que evidencia la influencia de la percepción del riesgo en la toma de decisiones dentro de este grupo específico. Estos resultados subrayan la relevancia de la percepción del riesgo en la respuesta ante emergencias. Aunque el estudio no mide el impacto real del ES-Alert en la población general, proporciona una primera aproximación sobre cómo los universitarios interpretan y reaccionan ante una alerta, lo que abre la puerta a futuras investigaciones que amplíen el análisis a otros sectores de la sociedad.

In high-throughput proteomics, a promising approach presently being explored is the use of liquid chromatography coupled to Fourier transform ion cyclotron resonance mass spectrometry (LC-FTICR-MS) to provide measurements of the masses of tryptic peptides in complex mixtures, which can then be used to identify the proteins which gave rise to those peptides. In order to apply this method, it is necessary to account for any systematic measurement error, and it is useful to have an estimate of the random error in measured masses. In this investigation, a complex mixture of peptides derived from a partially characterized sample was analyzed by LC-FTICR-MS. Through the application of a Bayesian probability model of the data, partial knowledge of the composition of the sample is sufficient both to determine any systematic error and to estimate the random error in measured masses.

Climate change does not manifest homogeneously across a territory, especially on oceanic islands where the complexity of the terrain can generate significant climatic gradients over short distances. This study analyzes the spatial evolution of maximum temperature (TMAX) and precipitation in Gran Canaria during the period 1991–2025 and explores its implications for land use planning and emergency management. For this purpose, homogenized monthly series from Spain’s State Meteorological Agency (AEMET) were used, analyzed on the basis of a sectorization of the island into seven climatic zones and the use of different statistical procedures for estimating and contrasting trends. Additionally, an exploratory Territorial Stress Index (TSI) was developed to synthesize the relative intensity of thermal and pluviometric change. The results show a generalized and statistically significant warming, although with significant spatial differences, while precipitation exhibits greater heterogeneity and shows no significant trend for the island as a whole. At the climatic zone scale, TMAX trends range between 0.149 and 0.408 °C per decade, while precipitation trends vary both in magnitude and direction. The highest TSI value (90.0) was obtained for the leeward mid-slopes, where intense warming coincides with a reduction in precipitation, creating a warming–drying scenario. Other areas with relatively high values exhibit warming–wetting configurations, indicating that climate stress does not follow a single territorial trajectory. The TSI does not constitute a risk index but facilitates the identification of spatial differences in the evolution of climate stressors that can serve as a basis for subsequent assessments incorporating hazard, exposure, vulnerability, and response capacity. These results highlight the importance of incorporating intra-island climate differentiation into adaptation strategies, land use planning, and emergency management.