Key Questions for Next-Generation Biomonitoring

Makiola, A. and Compson, Z.G. and Baird, D.J. and Barnes, M.A. and Boerlijst, S.P. and Bouchez, A. and Brennan, G. and Bush, A. and Canard, E. and Cordier, T. and Creer, S. and Curry, R.A. and David, P. and Dumbrell, A.J. and Gravel, D. and Hajibabaei, M. and Hayden, B. and van der Hoorn, B. and Jarne, P. and Jones, J.I. and Karimi, B. and Keck, F. and Kelly, M. and Knot, I.E. and Krol, L. and Massol, F. and Monk, W.A. and Murphy, J. and Pawlowski, J. and Poisot, T. and Porter, T.M. and Randall, K.C. and Ransome, E. and Ravigné, V. and Raybould, A. and Robin, S. and Schrama, M. and Schatz, B. and Tamaddoni-Nezhad, A. and Trimbos, K.B. and Vacher, C. and Vasselon, V. and Wood, S. and Woodward, G. and Bohan, D.A. (2020) Key Questions for Next-Generation Biomonitoring. Frontiers in Environmental Science, 7. ISSN 2296-665X

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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.

Item Type:
Journal Article
Journal or Publication Title:
Frontiers in Environmental Science
Subjects:
?? EDNAMETABARCODINGBIODIVERSITY ASSESSMENTARTIFICIAL INTELLIGENCEECOLOGICAL NETWORKS ??
ID Code:
141136
Deposited By:
Deposited On:
07 Feb 2020 16:30
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Sep 2023 00:43