Bohan, DA and Vacher, C and Tamaddoni-Nezhad, A and Raybould, A and Dumbrell, AJ and Woodward, G (2017) 'Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks.' Trends in Ecology and Evolution, 32 (7). 477 - 487. ISSN 0169-5347

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Abstract

© 2017 The Authors We foresee a new global-scale, ecological approach to biomonitoring emerging within the next decade that can detect ecosystem change accurately, cheaply, and generically. Next-generation sequencing of DNA sampled from the Earth's environments would provide data for the relative abundance of operational taxonomic units or ecological functions. Machine-learning methods would then be used to reconstruct the ecological networks of interactions implicit in the raw NGS data. Ultimately, we envision the development of autonomous samplers that would sample nucleic acids and upload NGS sequence data to the cloud for network reconstruction. Large numbers of these samplers, in a global array, would allow sensitive automated biomonitoring of the Earth's major ecosystems at high spatial and temporal resolution, revolutionising our understanding of ecosystem change.

Item Type:	Article
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:	Faculty of Science and Health > Life Sciences, School of
Depositing User:	Jim Jamieson
Date Deposited:	31 Mar 2017 15:32
Last Modified:	08 Aug 2019 14:15
URI:	http://repository.essex.ac.uk/id/eprint/19424

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