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Cited by 502

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Biomonitoring 2.0: a new paradigm in ecosystem assessment made possible by next‐generation DNA sequencing

Open access
BAIRD, DONALD J., HAJIBABAEI, MEHRDAD·2012·Molecular Ecology

Abstract

Biological monitoring has failed to develop from simple binary assessment outcomes of the impacted/unimpacted type, towards more diagnostic frameworks, despite significant scientific effort over the past fifty years. It is our assertion that this is largely because of the limited information content of biological samples processed by traditional morphology‐based taxonomy, which is a slow, imprecise process, focused on restricted groups of organisms. We envision a new paradigm in ecosystem assessment, which we refer to as ‘Biomonitoring 2.0’. This new schema employs DNA‐based identification of taxa, coupled with high‐throughput DNA sequencing on next‐generation sequencing platforms. We discuss the transformational nature of DNA‐based approaches in biodiversity discovery and ecosystem assessment and outline a path forward for their future widespread application.

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Crossref · 10.1111/j.1365-294x.2012.05519.x

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Metadata

Authors
BAIRD, D. J., & HAJIBABAEI, M.
Venue
Molecular Ecology
Publisher
Wiley
Published
2012-03-16
Volume
21
Issue
8
Pages
2039-2044
ISSN
  • 0962-1083 (ISSN-L)
  • 1365-294X
OpenAlex
W1585980954
Cited by
502
References
3
FWCI
16.14
Type
journal article
Language
en
Open access
bronze

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.