The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Environmental DNA Time Series in Ecology
Abstract
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.
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Cites
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Cited by
Evolutionary genomics can improve prediction of species’ responses to climate change
Waldvogel, A.-M., Feldmeyer, B., Rolshausen, G., Exposito-Alonso, M., Rellstab, C., Kofler, R., Mock, T., Schmid, K., Schmitt, I., Bataillon, T., et al. (2020) · Evolution Letters · doi:10.1002/evl3.154 · Cited by 348
Self-citation
Metadata
- Authors
- Bálint, M., Pfenninger, M., Grossart, H.-P., Taberlet, P., Vellend, M., Leibold, M. A., Englund, G., & Bowler, D.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 33
- Issue
- 12
- Pages
- 945-957
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2897059744
- Cited by
- 229
- References
- 10
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bálint, M., Pfenninger, M., Grossart, H.-P., Taberlet, P., Vellend, M., Leibold, M. A., Englund, G., & Bowler, D. (2018). Environmental DNA Time Series in Ecology. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2018.09.003
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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.
