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📢 ¡Nueva publicación regional de !

Nos complace presentar "Nodos de Resiliencia en Acción: Buenas prácticas que transforman la reducción del riesgo de desastres en las Américas y el Caribe", una publicación desarrollada por la Oficina de las Naciones Unidas para la Reducción del Riesgo de Desastres (UNDRR) en el marco de MCR2030.

La publicación reúne 13 experiencias de Nodos de Resiliencia de las Américas y el Caribe, reflejando la diversidad de territorios, riesgos y enfoques presentes en la región.

Muestra cómo los gobiernos locales están convirtiendo sus compromisos con la resiliencia en acciones concretas mediante la planificación con enfoque de riesgo, los sistemas de alerta temprana, las soluciones basadas en la naturaleza, la educación inclusiva, la protección financiera, la acción climática, una gobernanza local fortalecida y la cooperación entre ciudades.

🌎 En conjunto, estos casos ofrecen un recorrido regional por distintas formas de fortalecer la resiliencia local, destacando desafíos comunes, soluciones prácticas y aprendizajes que pueden inspirar acciones en otras ciudades de la región.

🤝 Asimismo, ponen de relieve el papel estratégico de los Nodos de Resiliencia para fortalecer la cooperación regional, promover el intercambio de conocimientos, el aprendizaje entre pares y apoyar a otros gobiernos locales en sus procesos hacia la resiliencia.

Agradecemos a los Nodos de Resiliencia que compartieron su experiencia y conocimientos para hacer posible esta publicación: Quito, Dosquebradas, Pudahuel, Longmont, Porto Alegre, Medellín, Santa Ana, Santiago de Cali, Montevideo, Barcarena, Campinas, Ciudad de México y Salvador. 🙏

👉 Lee y descarga la publicación:
https://ow.ly/ZEmg50ZxarA

AI is helping us better understand how landslides occur – so that we can reduce risks.

Researchers at Rochester Institute of Technology examined aerial views and elevation data of landslide sites, and used machine learning to achieve 80-94 percent accuracy in identifying landslide movements in diverse locations around the world. Specifically, the study introduces a method of examining slides, flows, and fails, finding distinct patterns.

“Our algorithm is not predicting landslides,” explained researcher Nishant Malik. “But the people who are in the business of predicting landslides need to know more information about them, like what caused them and what mechanisms they were.”

Learn more ➡️ https://ow.ly/6T8U50WfBUQ

🔑 Nature is the key to sustainable urban heat resilience.

🌳 Nature-based solutions include measures such as street trees, urban parks, green roofs and wetland conservation.

These interventions help lower urban temperatures and reduce the urban heat island effect - when urban areas experience higher temperatures than the surrounding landscape due to human activity. 🌡️

Nature brings further benefits to urban areas, including:
🌍 Sequestering carbon to support climate adaptation goals
🧠 Improving public health - both physical and mental
🐝 Enhancing biodiversity by providing habitats for pollinators

When implementing these solutions, it is essential to ensure equitable access. To maximize cooling and experience the full range of co-benefits, the design and placement of nature-based solutions must be mindful, inclusive and context-sensitive. 📍

Read more on urban heat resilience in the Asia-Pacific Disaster Report 👉 https://ow.ly/kYFp50XBIKj

Belleza matemática que muestra como las curvas de nivel aplican en este tipo de superficies en R3

🌊 Not all nature-based solutions protect coasts equally.

Reefs and mangroves can significantly reduce wave heights and coastal flood risk, but their effectiveness depends on a complex mix of ecological and physical factors.

To understand their true protective value, we must look beyond their presence and examine the conditions that shape how they function.

🪸 Healthy coral reefs with steep foreshores, high rugosity, and wide reef flats dissipate far more wave energy than degraded reefs.

🌱Mangroves with dense canopies, robust root systems, and sufficient forest width slow waves dramatically.

By recognising these drivers of effectiveness, we can:
✅ Build more accurate coastal risk assessments
✅ Strengthen adaptation and resilience planning
✅ Inform insurance products that reflect real-world protective benefits
✅ Prioritise restoration where it matters most

Read the full study➡️ https://ow.ly/sHTL50XzVEZ

UNDRR expresa su solidaridad con el pueblo colombiano y sus condolencias a las familias de las víctimas tras el terremoto del 10 de agosto.

🔥 Every wildfire hotspot has its own unique set of causes.

Across Southern Europe, wildfire risk is being shaped by the interaction of drought, vegetation flammability and the wildland–urban interface.

New research examines where these pressures are increasing together, helping to identify areas where the conditions for more frequent or larger fires are converging.

This multi-driver approach can help identify emerging wildfire hotspots and provide more targeted, place-based information for prevention, preparedness and risk management.

Explore the insight ➡️ https://ow.ly/PJmR50Zw70n

La colección de estudios de caso de PreventionWeb presenta ejemplos prácticos y reales de gestión y reducción del riesgo de desastres en acción.

Estos estudios exhaustivos desglosan las lecciones aprendidas de casos reales, destacando desafíos únicos, soluciones innovadoras y resultados impactantes, para comprender las estrategias que comunidades, organizaciones y gobiernos han implementado para proteger vidas, medios de vida y ecosistemas.

Necesitamos comprender, adaptarnos y mitigar los riesgos de desastres más que nunca, y la colección de estudios de caso de PreventionWeb puede ayudar a compartir el conocimiento y la experiencia de profesionales de la RRD en todo el mundo.

Empieza ahora ➡️ https://ow.ly/fF6L50YEaox

Can we really know how climate change has influenced the severity of extreme weather events? 🤔

Attribution science works by comparing two versions of the same event: the climate we actually observed, and a modelled version without human-caused emissions. As computing power and climate science advance, these models keep getting sharper. 💻

🔎 Scientists apply rigorous, objective methods to assess whether an individual heatwave, flood, wildfire, storm or drought was made more likely, more severe, and by how much.

Our understanding of wildfires shows how far this field has come. A decade ago, wildfires ranked among the hardest hazards to attribute, given the complex mix of weather and vegetation driving individual fires. Scientists can now confidently attribute the hot, dry fire weather behind large wildfires, a hallmark of compound disasters where heat and drought fuel fires that trigger cascading impacts such as smoke and flooding.

That evidence base feeds directly into disaster risk reduction, climate action and resilience planning, giving decision-makers a clearer picture of how the changing climate connects to actual disasters being experienced.

➡️ https://ow.ly/aSpp50ZxlyF