Temporal collections to study invasion biology Article Swipe
Amy Kim
,
Julia M. Kreiner
,
Fernando Hernández
,
Dan G. Bock
,
Kathryn A. Hodgins
,
Loren H. Rieseberg
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.22541/au.169278310.08644187/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.22541/au.169278310.08644187/v1
Biological invasions represent an extraordinary opportunity to study evolution. This is because accidental or deliberate species introductions have taken place for centuries across large geographical scales, in natural and anthropogenic environments. Until recently however, the utility of invasions as evolutionary experiments has been hampered by the limited information on the makeup of populations that were part of earlier invasion stages. Now, developments in ancient and historical DNA technologies, as well as the quickening pace of digitization for millions of specimens that are housed in herbaria and museums globally promise to help overcome this obstacle. In this review, we first introduce the types of temporal data that can be used to study invasions, highlighting the timescale captured by each approach, and their respective limitations. We then discuss how ancient and historical specimens as well as data available from prior invasion studies can be used to answer questions on mechanisms of (mal)adaptation, rates of evolution, or community-level changes during invasions. By bridging the gap between contemporary and historical invasive populations, temporal data can help us connect pattern to process in invasion science. These data will become increasingly important if invasions are to achieve their full potential as experiments of evolution in nature.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.22541/au.169278310.08644187/v1
- https://www.authorea.com/doi/pdf/10.22541/au.169278310.08644187
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.22541/au.169278310.08644187/v1Digital Object Identifier
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Temporal collections to study invasion biologyWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-23Full publication date if available
- Authors
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Amy Kim, Julia M. Kreiner, Fernando Hernández, Dan G. Bock, Kathryn A. Hodgins, Loren H. RiesebergList of authors in order
- Landing page
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https://doi.org/10.22541/au.169278310.08644187/v1Publisher landing page
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https://www.authorea.com/doi/pdf/10.22541/au.169278310.08644187Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.authorea.com/doi/pdf/10.22541/au.169278310.08644187Direct OA link when available
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Digitization, Pace, Quickening, Data science, Adaptation (eye), Natural (archaeology), Ecology, Biology, Geography, Computer science, Archaeology, Genetics, Neuroscience, Computer vision, GeodesyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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