ArticleProceedings of the National Academy of Sciences of the United States of America2019
Predicting future invaders and future invasions.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genomic investigations of successful invasions: the picture emerging from recent studies.Biological reviews of the Cambridge Philosophical Society · 2025Pooled it
- Global sea-level rise will create a new biological invasion front.Nature ecology & evolution · 2026Article
- Trait-based prediction of disease-vector mosquito invasion potential.PLoS neglected tropical diseases · 2026Article
- Article
- The Evolutionary and Ecological Consequences of Cooperation.The American naturalist · 2026Review
- Divergence and Parallelism in Two Tropical Drosophilids Simultaneously Invading a Desert Environment.Genome biology and evolution · 2025Article
- Forecasting alien species establishment and source regions: Quantitative assessment of potential ant invasions in Japan.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Distribution Pattern and Change Prediction ofInsects · 2025Article
- Introducing a global database of entomopathogenic fungi and their host associations.Scientific data · 2024Article
- Article
- Difference in Germination Traits between Congeneric Native and Exotic Species May Affect Invasion.Plants (Basel, Switzerland) · 2024Article
- Mutualism at the leading edge: insights into the eco-evolutionary dynamics of host-symbiont communities during range expansion.Journal of mathematical biology · 2024Article
- The coevolution of rostral keratin and tooth distribution in dinosaurs.Proceedings. Biological sciences · 2024Article
- Risk of introduction and establishment of alien vertebrate species in transboundary neighboring areas.Nature communications · 2024Article
- Investigating the phenology and interactions of competitive plant species co-occurring with invasive Lantana camara in Indian Himalayan Region.Scientific reports · 2024Article
- Article
- Global patterns of genomic and phenotypic variation in the invasive harlequin ladybird.BMC biology · 2023Article
- A real data-driven simulation strategy to select an imputation method for mixed-type trait data.PLoS computational biology · 2023Article
- Genetic Signature ofBiology · 2023Article
- Efficiency of ant-control agents in colony-level oral toxicity tests usingApplied entomology and zoology · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Invasive alien species are a great threat to biodiversity and human livelihoods worldwide. The most effective way to limit their impacts and costs is to prevent their introduction into new areas. Identifying invaders and invasions before their occurrence would arguably be the most efficient strategy. Here, we provide a profiling method to predict which species-with which particular ecological characteristics-will invade, and where they could invade. We illustrate our approach with ants, which are among the most detrimental invasive species, as they are responsible for declines of numerous taxa, are involved in local extinctions, disturb ecosystem functioning, and impact multiple human activities. Based on statistical profiling of 1,002 ant species from an extensive trait database, we identify 13 native ant species with an ecological profile that matches that of known invasive ants. Even though they are not currently described as such, these species are likely to become the next global invaders. We couple these predictions with species distribution models to identify the regions most at risk from the invasion of these species: Florida and Central America, Brazil, Central Africa and Madagascar, Southeast Asia, Papua New Guinea Northeast Australia, and many islands worldwide. This framework, applicable to any other taxa, represents a remarkable opportunity to implement timely and specifically shaped proactive management strategies against biological invasions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.