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- Engineer Searching for Biologists
The eDNA & Genomics Group focuses on advancing biodiversity monitoring, species detection, and ecological research using environmental DNA (eDNA) and genomics technologies. Our members are engaged in the collection, sequencing, and analysis of DNA from environmental samples—such as soil, water, and feces—to detect species presence, assess genetic diversity, and study population structure without the need for direct observation or capture.
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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.
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- Anyone using Microsoft Sparrow?
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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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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