{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T03:06:28Z","timestamp":1788923188777,"version":"build-2803163510"},"reference-count":54,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ecology and Evolution"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Over the past half\u2010decade, the collection of airborne environmental DNA (airDNA) has emerged as a novel tool for the biomonitoring of terrestrial vertebrates. Similar to other eDNA collection substrates (e.g., soil and water), the filtering of airDNA, while promising, requires rigorous methodological testing before widespread implementation. Two aspects of eDNA filtration that influence the recovered species assemblage are collection and extraction methods. Here, we assess the comparative performance of three collection matrices: cloth filters, paraffin gauze and PCR plate seals, alongside four readily available extraction kits: Qiagen DNeasy Blood &amp; Tissue, Qiagen DNeasy PowerSoil Pro, MagMAX Total Nucleic Isolation and Quick\u2010DNA Miniprep Plus extraction kits. We deployed these passive airDNA filters in a riparian urban parkland within the Tarradarrapin Creek Wetlands in south\u2010east Queensland, Australia. Through the use of both a universal mammalian and universal vertebrate primer, we demonstrate the combination of cloth filters and the Blood &amp; Tissue extraction kit records both the highest number of overall and informative terrestrial operational taxonomic units (OTUs) as well as a diverse and non\u2010variable species assemblage between replicates. Here, we show that optimising airDNA methodologies, and particularly using cloth filters with the Blood and Tissue extraction kit, allowed us to enhance the performance of this novel biomonitoring technique, a crucial step toward supporting its uptake alongside traditional monitoring methods (e.g., camera traps, bioacoustics or aquatic eDNA).<\/jats:p>","DOI":"10.1002\/ece3.74135","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T01:26:07Z","timestamp":1786584367000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Comparison between Passive airDNA Collection and Extraction Methods on the Recovered Terrestrial Vertebrate Assemblage"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7251-5527","authenticated-orcid":false,"given":"Jarred","family":"Moreno","sequence":"first","affiliation":[{"name":"School of the Environment, University of Queensland  St Lucia Queensland Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3082-6829","authenticated-orcid":false,"given":"Nicola","family":"Jackson","sequence":"additional","affiliation":[{"name":"School of the Environment, University of Queensland  St Lucia Queensland Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9671-2138","authenticated-orcid":false,"given":"Celine H.","family":"Frere","sequence":"additional","affiliation":[{"name":"School of the Environment, University of Queensland  St Lucia Queensland Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,12]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0022\u20102836(05)80360\u20102"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2041\u2010210X.2012.00224.x"},{"key":"e_1_2_11_4_1","doi-asserted-by":"crossref","unstructured":"Baselga A. D.Orme S.Villeger et\u00a0al.2025.\u201cbetapart: Partitioning Beta Diversity Into Turnover and Nestedness Components.\u201dhttps:\/\/doi.org\/10.32614\/CRAN.package.betapart.","DOI":"10.32614\/CRAN.package.betapart"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42003\u2010026\u201009950\u2010y"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/cobi.12243"},{"key":"e_1_2_11_7_1","volume-title":"BBMap: A Fast, Accurate, Splice\u2010Aware Aligner","author":"Bushnell B.","year":"2014"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2021.11.064"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.11030"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv1276"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041\u2010210X.13276"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep08349"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocon.2014.11.018"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq461"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fsigen.2016.06.004"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/1365\u20102664.14784"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/edn3.385"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms4211"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13104\u2010023\u201006669\u20105"},{"key":"e_1_2_11_20_1","doi-asserted-by":"crossref","unstructured":"Jager H. K. B.Trimbos J.\u2010M.Luursema A. G. C. L.Speksnijder andK. A.Stewart.2025.\u201cA Breath of Fresh Air: Comparative Evaluation of Passive Versus Active Airborne eDNA Sampling Strategies.\u201dbioRxiv: The Preprint Server for Biology 2025.2003.2026.645491.https:\/\/doi.org\/10.1101\/2025.03.26.645491.","DOI":"10.1101\/2025.03.26.645491"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/edn3.388"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/edn3.19"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tplants.2006.04.006"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1923"},{"key":"e_1_2_11_25_1","unstructured":"Lenth R. V.2024.\u201cemmeans: Estimated Marginal Means aka Least\u2010Square Means.\u201dhttps:\/\/10.32614\/CRAN.package.emmeans."},{"key":"e_1_2_11_26_1","doi-asserted-by":"publisher","DOI":"10.21105\/joss.03139"},{"key":"e_1_2_11_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2021.12.014"},{"key":"e_1_2_11_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2023.06.031"},{"key":"e_1_2_11_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/1755\u20100998.13840"},{"key":"e_1_2_11_30_1","doi-asserted-by":"publisher","DOI":"10.14806\/ej.17.1.200"},{"key":"e_1_2_11_31_1","unstructured":"Martinez Arbizu P.2020.\u201cpairwiseAdonis: Pairwise Multilevel Comparison Using Adonis.\u201dR Package Version 0.4.https:\/\/github.com\/pmartinezarbizu\/pairwiseadonis."},{"key":"e_1_2_11_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/edn3.274"},{"key":"e_1_2_11_33_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.13477"},{"key":"e_1_2_11_34_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v112.i01"},{"key":"e_1_2_11_35_1","doi-asserted-by":"publisher","DOI":"10.1111\/1755\u20100998.70067"},{"key":"e_1_2_11_36_1","doi-asserted-by":"publisher","DOI":"10.1002\/ece3.70526"},{"key":"e_1_2_11_37_1","unstructured":"Oksanen J. 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