Biological invasions: a field synopsis, systematic review, and database of the literature
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Species introductions of anthropogenic origins are a major aspect of rapid ecological change globally. Research on biological invasions has generated a large literature on many different aspects of this phenomenon. Here, we describe and categorize some aspects of this literature, to better understand what has been studied and what we know, mapping well‐studied areas and important gaps. To do so, we employ the techniques of systematic reviewing widely adopted in other scientific disciplines, to further the use of approaches in reviewing the literature that are as scientific, repeatable, and transparent as those employed in a primary study. We identified 2398 relevant studies in a field synopsis of the biological invasions literature. A majority of these studies (58%) were concerned with hypotheses for causes of biological invasions, while studies on impacts of invasions were the next most common (32% of the publications). We examined 1537 papers in greater detail in a systematic review. Superior competitive abilities of invaders, environmental disturbance, and invaded community species richness were the most common hypotheses examined. Most studies examined only a single hypothesis. Almost half of the papers were field observational studies. Studies of terrestrial invasions dominate the literature, with most of these concerning plant invasions. The focus of the literature overall is uneven, with important gaps in areas of theoretical and practical importance.
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In the late 1930s, William Cochran and Frank Yates described approaches that were essentially the same as modern fixed-effect and random-effects models, which were formalized and generalized by Cochran.
“In the late 1930s, William Cochran and his colleague, Frank Yates described approaches that were essentially the same as modern fixed-effect and random-effects models 32 (see Box 1), which were formalized and generalized by Cochran 33 .”
From Meta-analysis and the science of research synthesis (2018) · cites this paper as [33]
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- Authors
- Lowry, E., Rollinson, E. J., Laybourn, A. J., Scott, T. E., Aiello‐Lammens, M. E., Gray, S. M., Mickley, J., & Gurevitch, J.
- Affiliations
- Stony Brook University (US)
- University of Fribourg (CH)
- University of Connecticut (US)
- Corresponding author
- Gurevitch, Jessica
- Venue
- Ecology and Evolution
- Publisher
- Wiley
- Published
- 2013-01
- Volume
- 3
- Issue
- 1
- Pages
- 182-196
- ISSN
- 2045-7758 (ISSN-L)
- PMC
- PMC3568853
- OpenAlex
- W2106255106
- Cited by
- 332
- References
- 59
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 17 · 2023: 26 · 2022: 16 · 2021: 22 · 2020: 30 · 2019: 39 · 2018: 26 · 2017: 29 · 2016: 30 · 2015: 44 · 2014: 23 · 2013: 3
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Ecology and Evolution (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- Funders
- Stony Brook University
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- biological invasions, species introduction, anthropogenic introduction, invasive species impacts, environmental disturbance, species richness, plant invasion, research gaps, literature synthesis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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