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eProbe: Sampling of Environmental DNA within Tree Canopies with Drones
Environmental DNA (eDNA) analysis is a powerful tool for studying biodiversity in forests and tree canopies. However, collecting representative eDNA samples from these high and complex environments remains challenging. Traditional methods, such as surface swabbing or tree rolling, are labor-intensiv...
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Published in: | Environmental science & technology 2024-09, Vol.58 (37), p.16410-16420 |
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creator | Kirchgeorg, Steffen Chang, Jia Jin Marc Ip, Yin Cheong Aden Jucker, Meret Geckeler, Christian Lüthi, Martina van der Loo, Enrico Mächler, Elvira Franco-Sierra, Nicolás D. Herrera, Mailyn Adriana Gonzalez Pellissier, Loïc Deiner, Kristy Desiderato, Andrea Mintchev, Stefano |
description | Environmental DNA (eDNA) analysis is a powerful tool for studying biodiversity in forests and tree canopies. However, collecting representative eDNA samples from these high and complex environments remains challenging. Traditional methods, such as surface swabbing or tree rolling, are labor-intensive and require significant effort to achieve adequate coverage. This study proposes a novel approach for unmanned aerial vehicles (UAVs) to collect eDNA within tree canopies by using a surface swabbing technique. The method involves lowering a probe from a hovering UAV into the canopy and collecting eDNA as it descends and ascends through branches and leaves. To achieve this, a custom-designed robotic system was developed featuring a winch and a probe for eDNA collection. The design of the probe was optimized, and a control logic for the winch was developed to reduce the risk of entanglement while ensuring sufficient interaction force to facilitate transfer of eDNA onto the probe. The effectiveness of this method was demonstrated during the XPRIZE Rainforest Semi-Finals as 10 eDNA samples were collected from the rainforest canopy, and a total of 152 molecular operational taxonomic units (MOTUs) were identified using eDNA metabarcoding. We further investigate how the number of probe interactions with vegetation, the penetration depth, and the sampling duration influence the DNA concentration and community composition of the samples. |
doi_str_mv | 10.1021/acs.est.4c05595 |
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However, collecting representative eDNA samples from these high and complex environments remains challenging. Traditional methods, such as surface swabbing or tree rolling, are labor-intensive and require significant effort to achieve adequate coverage. This study proposes a novel approach for unmanned aerial vehicles (UAVs) to collect eDNA within tree canopies by using a surface swabbing technique. The method involves lowering a probe from a hovering UAV into the canopy and collecting eDNA as it descends and ascends through branches and leaves. To achieve this, a custom-designed robotic system was developed featuring a winch and a probe for eDNA collection. The design of the probe was optimized, and a control logic for the winch was developed to reduce the risk of entanglement while ensuring sufficient interaction force to facilitate transfer of eDNA onto the probe. The effectiveness of this method was demonstrated during the XPRIZE Rainforest Semi-Finals as 10 eDNA samples were collected from the rainforest canopy, and a total of 152 molecular operational taxonomic units (MOTUs) were identified using eDNA metabarcoding. We further investigate how the number of probe interactions with vegetation, the penetration depth, and the sampling duration influence the DNA concentration and community composition of the samples.</description><identifier>ISSN: 0013-936X</identifier><identifier>ISSN: 1520-5851</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/acs.est.4c05595</identifier><identifier>PMID: 39236253</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Biodiversity ; Branches ; Canopies ; canopy ; Community composition ; community structure ; DNA barcoding ; DNA, Environmental ; Drone aircraft ; Entanglement ; Environmental DNA ; environmental science ; Hovering ; Penetration depth ; rain forests ; Rainforests ; Risk reduction ; Robot control ; robots ; Sampling ; Sustainable Systems ; technology ; Trees ; Unmanned Aerial Devices ; Unmanned aerial vehicles</subject><ispartof>Environmental science & technology, 2024-09, Vol.58 (37), p.16410-16420</ispartof><rights>2024 American Chemical Society</rights><rights>Copyright American Chemical Society Sep 17, 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a278t-18934b86f32eacc4de4f99cf926ce344a2c76a68606e26ba461ec29408b4d1913</cites><orcidid>0000-0003-0430-6173 ; 0000-0001-6272-0212 ; 0000-0001-9144-3779 ; 0000-0001-7680-7730 ; 0000-0002-4945-0403 ; 0000-0002-9472-1161 ; 0000-0002-9029-0472 ; 0000-0001-5208-4929</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39236253$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kirchgeorg, Steffen</creatorcontrib><creatorcontrib>Chang, Jia Jin Marc</creatorcontrib><creatorcontrib>Ip, Yin Cheong Aden</creatorcontrib><creatorcontrib>Jucker, Meret</creatorcontrib><creatorcontrib>Geckeler, Christian</creatorcontrib><creatorcontrib>Lüthi, Martina</creatorcontrib><creatorcontrib>van der Loo, Enrico</creatorcontrib><creatorcontrib>Mächler, Elvira</creatorcontrib><creatorcontrib>Franco-Sierra, Nicolás D.</creatorcontrib><creatorcontrib>Herrera, Mailyn Adriana Gonzalez</creatorcontrib><creatorcontrib>Pellissier, Loïc</creatorcontrib><creatorcontrib>Deiner, Kristy</creatorcontrib><creatorcontrib>Desiderato, Andrea</creatorcontrib><creatorcontrib>Mintchev, Stefano</creatorcontrib><title>eProbe: Sampling of Environmental DNA within Tree Canopies with Drones</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>Environmental DNA (eDNA) analysis is a powerful tool for studying biodiversity in forests and tree canopies. However, collecting representative eDNA samples from these high and complex environments remains challenging. Traditional methods, such as surface swabbing or tree rolling, are labor-intensive and require significant effort to achieve adequate coverage. This study proposes a novel approach for unmanned aerial vehicles (UAVs) to collect eDNA within tree canopies by using a surface swabbing technique. The method involves lowering a probe from a hovering UAV into the canopy and collecting eDNA as it descends and ascends through branches and leaves. To achieve this, a custom-designed robotic system was developed featuring a winch and a probe for eDNA collection. The design of the probe was optimized, and a control logic for the winch was developed to reduce the risk of entanglement while ensuring sufficient interaction force to facilitate transfer of eDNA onto the probe. The effectiveness of this method was demonstrated during the XPRIZE Rainforest Semi-Finals as 10 eDNA samples were collected from the rainforest canopy, and a total of 152 molecular operational taxonomic units (MOTUs) were identified using eDNA metabarcoding. We further investigate how the number of probe interactions with vegetation, the penetration depth, and the sampling duration influence the DNA concentration and community composition of the samples.</description><subject>Biodiversity</subject><subject>Branches</subject><subject>Canopies</subject><subject>canopy</subject><subject>Community composition</subject><subject>community structure</subject><subject>DNA barcoding</subject><subject>DNA, Environmental</subject><subject>Drone aircraft</subject><subject>Entanglement</subject><subject>Environmental DNA</subject><subject>environmental science</subject><subject>Hovering</subject><subject>Penetration depth</subject><subject>rain forests</subject><subject>Rainforests</subject><subject>Risk reduction</subject><subject>Robot control</subject><subject>robots</subject><subject>Sampling</subject><subject>Sustainable Systems</subject><subject>technology</subject><subject>Trees</subject><subject>Unmanned Aerial Devices</subject><subject>Unmanned aerial vehicles</subject><issn>0013-936X</issn><issn>1520-5851</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqN0c1LwzAYBvAgipvTszcpeBGkW76aJt7GPlQYKjjBW0mzt9rRL5NW8b-3dXMHQfAUCL_nCW9ehE4JHhJMyUgbNwRXD7nBQaCCPdQnAcV-IAOyj_oYE-YrJp576Mi5NcaYMiwPUY8pygQNWB_N4cGWMVx5jzqvsrR48crEmxXvqS2LHIpaZ970bux9pPVrWnhLC-BNdFFWKbjvS2_aQnDH6CDRmYOT7TlAT_PZcnLjL-6vbyfjha9pKGufSMV4LEXCKGhj-Ap4opRJFBUGGOeamlBoIQUWQEWsuSBgqOJYxnxFFGEDdLHprWz51rSTR3nqDGSZLqBsXMRIwELBSBj-g2JCqVKctfT8F12XjS3aQTolmQq55K0abZSxpXMWkqiyaa7tZ0Rw1G0jarcRdentNtrE2ba3iXNY7fzP97fgcgO65O7Nv-q-ADmPkro</recordid><startdate>20240917</startdate><enddate>20240917</enddate><creator>Kirchgeorg, Steffen</creator><creator>Chang, Jia Jin Marc</creator><creator>Ip, Yin Cheong Aden</creator><creator>Jucker, Meret</creator><creator>Geckeler, Christian</creator><creator>Lüthi, Martina</creator><creator>van der Loo, Enrico</creator><creator>Mächler, Elvira</creator><creator>Franco-Sierra, Nicolás D.</creator><creator>Herrera, Mailyn Adriana Gonzalez</creator><creator>Pellissier, Loïc</creator><creator>Deiner, Kristy</creator><creator>Desiderato, Andrea</creator><creator>Mintchev, Stefano</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-0430-6173</orcidid><orcidid>https://orcid.org/0000-0001-6272-0212</orcidid><orcidid>https://orcid.org/0000-0001-9144-3779</orcidid><orcidid>https://orcid.org/0000-0001-7680-7730</orcidid><orcidid>https://orcid.org/0000-0002-4945-0403</orcidid><orcidid>https://orcid.org/0000-0002-9472-1161</orcidid><orcidid>https://orcid.org/0000-0002-9029-0472</orcidid><orcidid>https://orcid.org/0000-0001-5208-4929</orcidid></search><sort><creationdate>20240917</creationdate><title>eProbe: Sampling of Environmental DNA within Tree Canopies with Drones</title><author>Kirchgeorg, Steffen ; 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To achieve this, a custom-designed robotic system was developed featuring a winch and a probe for eDNA collection. The design of the probe was optimized, and a control logic for the winch was developed to reduce the risk of entanglement while ensuring sufficient interaction force to facilitate transfer of eDNA onto the probe. The effectiveness of this method was demonstrated during the XPRIZE Rainforest Semi-Finals as 10 eDNA samples were collected from the rainforest canopy, and a total of 152 molecular operational taxonomic units (MOTUs) were identified using eDNA metabarcoding. 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subjects | Biodiversity Branches Canopies canopy Community composition community structure DNA barcoding DNA, Environmental Drone aircraft Entanglement Environmental DNA environmental science Hovering Penetration depth rain forests Rainforests Risk reduction Robot control robots Sampling Sustainable Systems technology Trees Unmanned Aerial Devices Unmanned aerial vehicles |
title | eProbe: Sampling of Environmental DNA within Tree Canopies with Drones |
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