Valentina Corio

@valecorio.bsky.social

Publisher at Springer Nature for a portfolio of journals in Geriatrics, Pediatrics, General Medicine, Sport Sciences, Multidisciplinary sciences.

📢Publication out: #NGC’s Giovanni D'Amico, Gherardo Chirici and Saverio Francini contributed to the paper “Remote sensing across scales and platforms: monitoring Castelporziano nature reserve forest insect outbreaks”. Read it via the link below. link.springer.com/article/10.1...

Remote sensing across scales and platforms: monitoring Castelporziano nature reserve forest insect outbreaks - Rendiconti Lincei. Scienze Fisiche e Naturali

Stone pines (Pinus pinea) are a dominant species in Mediterranean coastal forests, playing a crucial ecological and landscape role. However, these ecosystems are experiencing increasing pressure from rising temperatures, prolonged droughts, and other stressors, which weaken trees and make them more susceptible to natural disturbances, such as insect infestations, leading to significant forest decline. This study presents a multi-platform, temporal, and spatial resolution remote sensing approach to detect and monitor insect outbreaks. The study area is Castelporziano Presidential Estate (Rome, Italy), a pine-dominated periurban forest of high ecological value and severely affected by Tomicus destruens (Coleoptera: Curculionidae) and Toumeyella parvicornis (Hemiptera: Coccidae). Very high-resolution Pléiades and DigitalGlobe images were used to map forest disturbances accurately and to assess the accuracy of the yearly forest disturbance maps obtained through Sentinel-2 data. Sentinel-2 data enabled the production of yearly disturbance maps in near real time (NRT), improving the Three Indices Three Dimensions (3I3D) unsupervised forest disturbance algorithm. Lastly, PlanetScope data were used to calculate the Mean Time Lag (MTL) between disturbance occurrence and detection in Sentinel-2 NRT images, revealing an average detection delay of 8.5 days. Additionally, the unsupervised model’s performance was evaluated, yielding an overall accuracy of 85%. The accuracy of the Sentinel-2 forest disturbance map was assessed against the map derived from Pléiades/DigitalGlobe, achieving an overall accuracy of 92%. These findings confirm that integrating multi-source remote sensing data enhances the timeliness and reliability of insect outbreak monitoring, offering valuable tools for managing Mediterranean forests threatened by climate change and biotic agents. Graphical Abstract

link.springer.com

Centre on Aging Research Affiliate Dr. Kathryn Sibley is a co-author Fuentes Diaz, M.F., Sibley, K.M., Giberson, K. et al. Proportion of participants meeting falls prevention guidelines in an evidence-based community-based exercise program. Aging Clin Exp Res 37, 273 (2025). doi.org/10.1007/s405...

Proportion of participants meeting falls prevention guidelines in an evidence-based community-based exercise program - Aging Clinical and Experimental Research

Background Although exercise is strongly recommended to prevent falls in older adults (exercise that challenges balance, performed three hours per week on an ongoing basis), few community-based programs meet these recommendations. Aims Assess the proportion of participants meeting fall prevention exercise recommendations in a community-based program and explore how adherence varies by individual characteristics and participation mode (in-person, tele-exercise, or hybrid). Methods A cross-sectional analysis of Zoomers in Balance participants who completed an online questionnaire about their demographic data, mode of participation, and their perceived balance intensity in a 12-week series using the Balance Intensity Scale (1-no effort at all to 5-maximal effort). Weekly attendance was self-reported after each 12-week series, and ongoing participation was assessed using registration data over one year. Results The average perceived balance intensity was 3.2 ± 0.7 (range 1–5), the average attendance was 1.3 ± 0.6 h/week (range 0.2–4.2), and participants attended an average of 3.4 ± 0.6 series/year (range 2–4). None of the participants met all three guidelines. The most fulfilled recommendation was ongoing participation (43%), which was greater in the hybrid (B = 2.68; p < 0.001) and tele-exercise (B = 1.28; p < 0.001) groups compared with the in-person mode. In addition, the mode of participation was associated with meeting one or more guidelines (χ2 = 23.05; p < 0.001), without any significant difference between modes. Discussion Offering hybrid participation options could lead to greater adherence to evidence-based guidelines, thereby reducing the risk of falls. Conclusion The proportion of participants meeting fall prevention guidelines in a community-based program is low, with a trend indicating that hybrid options are more effective.

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