WildMon

We’ve recently launched a major upgrade to the WildMon Dashboard: the new Data Explorer. 📊 🌿 The goal was simple: make biodiversity data easier to explore, interpret, and use. Our partners can now filter and compare data across sites, species, time periods and sampling methods, making it easier to explore questions like: → How does biodiversity compare across different land uses?
 → Are threatened or endemic species appearing in particular areas?
 → How is species richness changing over time? The Data Explorer also introduces side-by-side comparisons, species and site tags, a dedicated Species List, and shareable URLs that preserve a specific analysis. It’s another step toward turning complex biodiversity monitoring data into information that conservation practitioners can actually use to understand ecosystems and make decisions. Watch our walkthrough of the Data Explorer on YouTube: https://lnkd.in/eV89cBk8

We are excited to share that the new Amazon.ia - Inteligencia Ambiental (https://lnkd.in/efJuKDUk) initiative was just launched as part of New York Climate Week! 🐆 🛰️🌿 Amazon.ia brings together Amazonian research institutions, conservation organizations, leading universities, tech companies, national environmental institutes, and global data and technology platforms. Together, these initial partners are building a network of sites that will use cutting-edge technology to provide actionable biodiversity intelligence across the Amazon. “We are living in an era of unprecedented advances in conservation technology and artificial intelligence, with new tools that allow us to capture information not only about individual species, but also about the ecosystems and environmental conditions that surround them,” said Carla Mere Roncal, Conservation Technology Program Manager at the Andes Amazon Fund. “By harnessing these advances, we can better understand change, act earlier, and strengthen our ability to protect biodiversity and prevent further species declines.” ➡️ See the amazing starting lineup of partners below with special thanks to Bezos Earth Fund for the foundational support. Arizona State University (Asner Lab), Associação de Levantamento Florestal do Amazonas(ALFA), Bezos Earth Fund, Conservación Amazónica - ACCA, Cornell Lab of Ornithology and Cornell University (Davis Lab), George Mason University (Luther Lab), Instituto Nacional de Pesquisas da Amazônia / MCTI, Instituto De Desenvolvimento Sustentavel Mamiraua, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, International Barcode of Life Consortium (iBOL), Limelight Rainforest, Massachusetts Institute of Technology (Beery Lab), Microsoft AI for Good Lab, Museo Nacional de Historia Natural - Bolivia, Planet, Smithsonian Institution ForestGEO, Tiputini Biodiversity Station, Universidad San Francisco de Quito (Rivas Torres Lab), Universitat Politècnica de Catalunya, University of Guelph Centre for Biodiversity Genomics, Wildlife Conservation Society - Bolivia, Wildlife Insights, WildMon, World Resources Institute, WWF. 🟢 Read our full press release here: https://lnkd.in/eAXxqu_f

We’ve launched Amazon.ia, an multi-partner initiative dedicated to bringing actionable biodiversity intelligence to the Amazon. 🌎 The initiative is supported by 20+ global and local partners, including Bezos Earth Fund, and combines AI-powered analytics, satellite data and science to protect the Amazon: one of the world's most diverse and unique places on Earth. https://lnkd.in/gnaCEiZM

Interested in building and refining tools for community driven biodiversity monitoring? 🦜 We’re looking for a Product QA & Technical Support Associate to support rigorous functional testing on new AI-powered acoustic monitoring platform for conservation organizations and local communities in Latin America, and beyond. Get in touch at talent@wildmon.ai for more information.

Climate Week NYC is coming up, and we’re excited to meet with partners, collaborators , and others working to protect nature through science, technology, and community-led conservation. 🌎 We’re particularly looking forward to the official launch of Amazon.ia, an initiative of which WildMon is a proud partner. 🌿 Revolutionizing Amazonian Conservation with Breakthrough Technologies 📍 The Nest Climate Campus, Javits Center, Main Stage 📅 Wednesday, September 23rd at 4:55 PM - 5:20 PM The session will be followed by celebratory drinks. Learn more about Amazon.ia here: https://lnkd.in/e4FsAVEJ And get in touch with our Chief Scientist, Marconi Campos Cerqueira, who will be in New York throughout the week and would be delighted to connect. See you in NYC!

Excited to share a new paper that WildMon contributed to, recently published in Remote Sensing in Ecology and Conservation: “Paradigms and Principles for Integrating Nature Technology Data: Challenges, Opportunities, and Next Steps in Real-World Biodiversity Monitoring.”🌳 Led by Seamus Lombardo, PhD and Amy Rosenthal and bringing together researchers and practitioners from across the nature technology community, the paper tackles an increasingly important question for biodiversity monitoring: how do we bring different sources of nature data together in ways that generate better, more actionable conservation insights? One of the big questions we explore is increasingly important for biodiversity monitoring: how do we bring different nature technologies together to generate better, more actionable insights? The paper proposes six practical paradigms for integrating nature technology data, from using one technology to guide the deployment of another, through validation and comparison across sensors, to extrapolating biodiversity observations across landscapes and ultimately fusing multiple data streams into new biodiversity indicators. I was especially glad to contribute some of our work at WildMon through the Biological Dynamics of Forest Fragments Project (BDFFP) case study in the Brazilian Amazon, where acoustic and camera-trap biodiversity data are combined with remote sensing to better understand biodiversity patterns across landscapes. For us at WildMon, this is where biodiversity monitoring is heading. It isn't about one technology replacing another — or combining technologies simply because we can. It's about understanding which sources of biodiversity information should be brought together, how they complement one another, and which combinations are most appropriate for the conservation question we are trying to answer. Ultimately, the goal is biodiversity information that is scientifically robust, scalable and, most importantly, useful for conservation decisions. A big thank you to everyone who contributed to this collaborative effort: Seamus Lombardo, PhD, Amy Rosenthal, Christopher Anderson, Ken Bagstad, Carly Batist, Ph.D., Christopher Beirne, Paul Bunje, Jeremy Cusack, Elsa Carla D., Rachel King, Trond Larsen, David Luther, Jennifer McGowan, Adrien Pajot, Xavier Raick, Vijay Ramesh, Chelsea Smith, Ali Swanson and Tom Walker. And to the organizations represented across this collaboration, including Planet, Conservation International, Conservation X Labs, Asociación Conservación Osa, Fauna & Flora, WILDLABS Community, Cornell Lab of Ornithology, George Mason University, The University of Queensland, UC Santa Barbara, Field Museum, University of Vermont, Cecil and, of course, WildMon. 📄 Read the open-access paper: https://lnkd.in/eSx2Ec4M

544 species and counting. 🐆 🦅 🌿 Across seven Indigenous communities in Guyana, biodiversity monitoring is revealing an extraordinary picture of wildlife across the Guiana Shield. From jaguars and white-faced sakis to the Vulnerable harpy eagle, Brazilian tapir and white-lipped peccary. This work is part of the broader Sustainable Wildlife Management (SWM) Programme, which works with Indigenous communities in Guyana’s Rupununi to strengthen community-led wildlife management and the sustainable use of natural resources. Together with Landscape Alliance | CIFOR & ICRAF and Map of Life Solutions, we're supporting the biodiversity monitoring component using camera traps, passive acoustic monitoring and eDNA. In the latest camera-trap round alone, 103 species were identified, bringing the total across both rounds to 122. Using Wildlife Insights, thousands of camera-trap images are being transformed into validated biodiversity information, and when combined with passive acoustic monitoring, 544 species have now been recorded across the project landscape. Learn more about the new findings: https://lnkd.in/eNB74Zgn

100 monitoring sites, more than 800,000 sound recordings, and nearly 100,000 camera trap photos. Before any of it was collected, community members from Sintang and Sekadau led on the placement of devices, based on their knowledge of animal signs, trails, and the forest. The first monitoring season in Gunung Naning Protection Forest, West Kalimantan, recorded 202 species. 20 are endemic to Borneo, and 10 are Endangered or Critically Endangered. One of the more striking records was Hose's palm civet, still very poorly documented anywhere. It was detected at 18 sites, in what is likely the first record of the species in West Kalimantan. Nobody reviews 800,000 recordings by hand. Our partners at WildMon used AI models to identify animal calls, alongside custom reference templates for species existing models don't cover. Of the 164 species identified acoustically, 56 weren't represented in existing models. Community patrol teams use the data to plan where they patrol. Species records strengthen Social Forestry permit applications and conversations with government. And the results are going into dashboards for each Community Governance Body, supporting effective governance of natural resources at the community level. The full story: https://lnkd.in/gBb4NguV