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Novel community data in ecology-properties and prospects

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
  • F. Hartig
  • N. Abrego
  • A. Bush
  • J.M. Chase
  • G. Guillera-Arroita
  • M.A. Leibold
  • O. Ovaskainen
  • L. Pellissier
  • M. Pichler
  • G. Poggiato
  • L. Pollock
  • S. Si-Moussi
  • W. Thuiller
  • D.S. Viana
  • D.I. Warton
  • D. Zurell
  • D.W. Yu
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<mark>Journal publication date</mark>5/03/2024
<mark>Journal</mark>Trends in Ecology and Evolution
Issue number3
Volume39
Number of pages14
Pages (from-to)280-293
Publication StatusPublished
Early online date8/11/23
<mark>Original language</mark>English

Abstract

New technologies for monitoring biodiversity such as environmental (e)DNA, passive acoustic monitoring, and optical sensors promise to generate automated spatiotemporal community observations at unprecedented scales and resolutions. Here, we introduce 'novel community data' as an umbrella term for these data. We review the emerging field around novel community data, focusing on new ecological questions that could be addressed; the analytical tools available or needed to make best use of these data; and the potential implications of these developments for policy and conservation. We conclude that novel community data offer many opportunities to advance our understanding of fundamental ecological processes, including community assembly, biotic interactions, micro- and macroevolution, and overall ecosystem functioning. [Abstract copyright: Copyright © 2023 Elsevier Ltd. All rights reserved.]