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Grupo
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- Engineer Searching for Biologists
El Grupo de ADN ambiental y genómica se centra en el avance del monitoreo de la biodiversidad, la detección de especies y la investigación ecológica mediante tecnologías de ADN ambiental (ADNe) y genómica. Nuestros miembros se dedican a la recolección, secuenciación y análisis de ADN de muestras ambientales —como suelo, agua y heces— para detectar la presencia de especies, evaluar la diversidad genética y estudiar la estructura poblacional sin necesidad de observación o captura directa.
- Último recurso
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- Assessing Critical Habitats Using Environmental DNA to Conserve the World’s Rarest Heron- White-bellied Heron Ardea insignis
The White-bellied Heron (Ardea insignis) is the world's rarest heron, with only about 60 individuals remaining globally. Bhutan holds nearly half of the remaining population, making conservation efforts within the country crucial to the species' survival. As part of my PhD research at Texas State University, I have been working to better understand the ecology, habitat suitability, and conservation needs of this critically endangered species. I employ an interdisciplinary approach that integrates field ecology, environmental DNA (eDNA) and portable genomics technologies to improve biodiversity monitoring and conservation planning for White-bellied Heron in Bhutan. Unlike traditional monitoring approaches that rely solely on direct observations, eDNA allows researchers to detect biodiversity from traces of genetic material left behind in the environment. The WILDLABS Award provided an exciting opportunity not only to advance research but also to demonstrate how emerging conservation technologies can be applied in remote landscapes while building local capacity for conservation genetics. Through this project, we sought to explore how portable molecular tools can support conservation decision-making while making advanced genetic technologies more accessible to researchers and practitioners in Bhutan.
Grupo
Los drones, que se utilizan para captar señales de equipos de seguimiento en tierra, obtener imágenes de la fauna y sus hábitats desde el aire, recopilar datos acústicos con hidrófonos especializados o incluso recoger muestras de mucosidad de los espiráculos de las ballenas, son capaces de recopilar datos de alta resolución de forma rápida, no invasiva y a un coste relativamente bajo.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
Grupo
- Última discusión
- Custom Hydrophone Records Dolphins
Bienvenido al foro oficial del grupo de nuestro curso virtual, Construya su propio registrador de datos este es tu espacio para interactuar con los instructores del curso, Akiba y Jacinta de Freaklabs, encontrar ayuda y recursos para cada módulo, colaborar y chatear con tus compañeros del curso, y compartir tu progreso en tu propio proyecto de registrador de datos.
- Último recurso
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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Para encontrar los cursos que has creado, consulta las pestañas “Mi Contenido Borrador” o “Mi Contenido
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