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Environmental DNA time series in ecology
- Ecological communities change in time and space, but long-term dynamics at the century-to-millennia scale are poorly documented due to lack of relevant data sets. Nevertheless, understanding long-term dynamics is important for explaining present-day biodiversity patterns and placing conservation goals in a historical context. Here, we use recent examples and new perspectives to highlight how environmental DNA (eDNA) is starting to provide a powerful new source of temporal data for research questions that have so far been overlooked, by helping to resolve the ecological dynamics of populations, communities, and ecosystems over hundreds to thousands of years. We give examples of hypotheses that may be addressed by temporal eDNA biodiversity data, discuss possible research directions, and outline related challenges.
Author details: | Miklós BálintORCiD, Markus Pfenninger, Hans-Peter GrossartORCiDGND, Pierre Taberlet, Mark Vellend, Mathew A. Leibold, Goran Englund, Diana Bowler |
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DOI: | https://doi.org/10.1016/j.tree.2018.09.003 |
ISSN: | 0169-5347 |
ISSN: | 1872-8383 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/30314916 |
Title of parent work (English): | Trends in ecology & evolution |
Publisher: | Elsevier |
Place of publishing: | London |
Publication type: | Review |
Language: | English |
Year of first publication: | 2018 |
Publication year: | 2018 |
Release date: | 2021/06/25 |
Volume: | 33 |
Issue: | 12 |
Number of pages: | 13 |
First page: | 945 |
Last Page: | 957 |
Funding institution: | German Science Foundation-Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [DFG BA 4843/2-1]; DFGGerman Research Foundation (DFG) [GR1540/23-1]; BMBF (BIBS) [01LC1501G]; Natural Sciences and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of Canada; Humboldt Research AwardAlexander von Humboldt Foundation |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie |
DDC classification: | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
Peer review: | Referiert |