Key Questions for Next-Generation Biomonitoring
(2020) In Frontiers in Environmental Science 7.- Abstract
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.
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https://lup.lub.lu.se/record/32ae50da-b8c2-4466-a9d5-d9d168997e8a
- author
- publishing date
- 2020-01-09
- type
- Contribution to journal
- publication status
- published
- keywords
- artificial intelligence, biodiversity assessment, ecological networks, eDNA, metabarcoding
- in
- Frontiers in Environmental Science
- volume
- 7
- article number
- 197
- pages
- 14 pages
- publisher
- Frontiers Media S. A.
- external identifiers
-
- scopus:85078248080
- ISSN
- 2296-665X
- DOI
- 10.3389/fenvs.2019.00197
- language
- English
- LU publication?
- no
- id
- 32ae50da-b8c2-4466-a9d5-d9d168997e8a
- date added to LUP
- 2020-10-01 16:48:27
- date last changed
- 2022-04-19 01:00:33
@article{32ae50da-b8c2-4466-a9d5-d9d168997e8a, abstract = {{<p>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.</p>}}, author = {{Makiola, Andreas and Compson, Zacchaeus G. and Baird, Donald J. and Barnes, Matthew A. and Boerlijst, Sam P. and Bouchez, Agnès and Brennan, Georgina and Bush, Alex and Canard, Elsa and Cordier, Tristan and Creer, Simon and Curry, R. Allen and David, Patrice and Dumbrell, Alex J. and Gravel, Dominique and Hajibabaei, Mehrdad and Hayden, Brian and van der Hoorn, Berry and Jarne, Philippe and Jones, J. Iwan and Karimi, Battle and Keck, Francois and Kelly, Martyn and Knot, Ineke E. and Krol, Louie and Massol, Francois and Monk, Wendy A. and Murphy, John and Pawlowski, Jan and Poisot, Timothée and Porter, Teresita M. and Randall, Kate C. and Ransome, Emma and Ravigné, Virginie and Raybould, Alan and Robin, Stephane and Schrama, Maarten and Schatz, Bertrand and Tamaddoni-Nezhad, Alireza and Trimbos, Krijn B. and Vacher, Corinne and Vasselon, Valentin and Wood, Susie and Woodward, Guy and Bohan, David A.}}, issn = {{2296-665X}}, keywords = {{artificial intelligence; biodiversity assessment; ecological networks; eDNA; metabarcoding}}, language = {{eng}}, month = {{01}}, publisher = {{Frontiers Media S. A.}}, series = {{Frontiers in Environmental Science}}, title = {{Key Questions for Next-Generation Biomonitoring}}, url = {{http://dx.doi.org/10.3389/fenvs.2019.00197}}, doi = {{10.3389/fenvs.2019.00197}}, volume = {{7}}, year = {{2020}}, }