Key questions for next-generation biomonitoring
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Published version
Author(s)
Type
Journal Article
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.
Date Issued
2020-01-09
Date Acceptance
2019-12-04
Citation
Frontiers in Environmental Science, 2020, 7, pp.1-14
ISSN
2296-665X
Publisher
Frontiers Media
Start Page
1
End Page
14
Journal / Book Title
Frontiers in Environmental Science
Volume
7
Copyright Statement
© 2020 Makiola, Compson, Baird, Barnes, Boerlijst, Bouchez, Brennan, Bush, Canard, Cordier, Creer, Curry, David, Dumbrell, Gravel, Hajibabaei, Hayden, van der Hoorn, Jarne, Jones, Karimi, Keck, Kelly, Knot, Krol, Massol, Monk, Murphy, Pawlowski, Poisot, Porter, Randall, Ransome, Ravigné, Raybould, Robin, Schrama, Schatz, Tamaddoni-Nezhad, Trimbos, Vacher, Vasselon, Wood, Woodward and Bohan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Sponsor
Natural Environment Research Council (NERC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000623054400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
NE/S000348/1
Subjects
Science & Technology
Life Sciences & Biomedicine
Environmental Sciences
Environmental Sciences & Ecology
eDNA
metabarcoding
biodiversity assessment
artificial intelligence
ecological networks
ENVIRONMENTAL DNA
INDEXES
METRICS
PLANT
TEXT
MICROBIOME
DIVERSITY
PARADIGM
NETWORKS
SCIENCE
Publication Status
Published
Article Number
ARTN 197
Date Publish Online
2020-01-09