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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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- AI for Impact Series at WWF: Looking for experts/speakers
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.
🌍 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.
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Benjamin Barca commented on "Anyone else going to COP16?"