Key Questions for Next-Generation Biomonitoring

Makiola, Andreas, Compson, Zacchaeus G., Baird, Donald J., Barnes, Matthew A., Boerlijst, Sam P., Bouchez, Agnès, Brennan, Georgina, Bush, Alex, Canard, Elsa, Cordier, Tristan, Creer, Simon, Curry, R. Allen, David, Patrice, Dumbrell, Alex J., Gravel, Dominique, Hajibabaei, Mehrdad, Hayden, Brian, van der Hoorn, Berry, Jarne, Philippe, Jones, J. Iwan, Karimi, Battle, Keck, Francois, Kelly, Martyn, Knot, Ineke E., Krol, Louie, Massol, Francois, Monk, Wendy A., Murphy, John, Pawlowski, Jan, Poisot, Timothée, Porter, Teresita M., Randall, Kate, Ransome, Emma, Ravigné, Virginie, Raybould, Alan, Robin, Stephane, Schrama, Maarten, Schatz, Bertrand, Tamaddoni-Nezhad, Alireza, Trimbos, Krijn B., Vacher, Corinne, Vasselon, Valentin, Wood, Susie, Woodward, Guy and Bohan, David A. (2019) Key Questions for Next-Generation Biomonitoring. Frontiers in Environmental Science, 7. p. 197. ISSN 2296-665X

fenvs-07-00197.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview
Official URL:


Classical biomonitoring techniques have focused primarily on measures linked to various biodiversity metrics and indicator species. Next-generation biomonitoring (NGB) describes a suite of tools and approaches that allow the examination of a broader spectrum of organizational levels—from genes to entire ecosystems. Here, we frame 10 key questions that we envisage will drive the field of NGB over the next decade. While not exhaustive, this list covers most of the key challenges facing NGB, and provides the basis of the next steps for research and implementation in this field. These questions have been grouped into current- and outlook-related categories, corresponding to the organization of this paper.

Item Type: Article
Additional Information: Funding information: ABo and JP would like to acknowledge funding from the FEDER and Swiss Confederation through the SYNAQUA project. ABo, FK, VV, MK, JP, and TC would like to acknowledge fruitful discussions in the framework of the COST action DNAqua-Net (CA15219). AD, KR, AT-N, and GW would like to acknowledge funding support from the UK Natural Environment Research Council (NERC-NE/M02086X/1 and NE/M020843/1). DAB, AM, EC, PD, FM, SR, VR, and CV would like to acknowledge the financial support of the French Agence Nationale de la Recherche project NGB (ANR-17-CE32-011). DAB, AM, SR, and CV would like to acknowledge the support of the Consortium Biocontrole, which provides funding for the BCMicrobiome project. TMP would like to acknowledge funding from the Canadian government through the Genomics Research and Development Initiative, Ecobiomics project.
Uncontrolled Keywords: artificial intelligence, biodiversity assessment, ecological networks, eDNA, metabarcoding
Subjects: C100 Biology
F800 Physical and Terrestrial Geographical and Environmental Sciences
Department: Faculties > Health and Life Sciences > Applied Sciences
Depositing User: Rachel Branson
Date Deposited: 06 Dec 2022 10:43
Last Modified: 06 Dec 2022 10:45

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics