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Peer-reviewedCC BYEvolutionary applications

Repeated Introductions and Anthropogenic Dispersal Fuel the Regional Expansion of Ambrosia trifida.

  1. 1Division of Science Education, College of Education Jeonbuk National University Jeonju Republic of Korea.
  2. 2Division of Forest Biodiversity and Herbarium Korea National Arboretum Pocheon Republic of Korea.
  3. 3Department of Biology Education, College of Education Chosun University Gwangju Republic of Korea.

Abstract

Understanding the processes that shape biological invasions is essential for predicting the spread and persistence of introduced species, yet these processes remain poorly resolved for many unintentionally introduced plants. We combined genome-wide SNP data, demographic modeling, and climatic niche analyses to investigate the invasion of giant ragweed in South Korea. A total of 419 individuals from 35 introduced populations and 59 individuals from four native North American populations were analyzed. Introduced populations retained high genetic diversity and exhibited weak spatial structure, consistent with extensive human-mediated dispersal. Approximate Bayesian Computation supported a recent invasion within the last ~70 years involving multiple introductions from genetically divergent sources, followed by rapid divergence and severe but transient demographic bottlenecks. Climatic niche analyses revealed substantial overlap between native and introduced ranges but pronounced niche unfilling, indicating that Ambrosia trifida has yet to occupy its full potential climatic niche in South Korea. Together, these results show that repeated introductions, admixture, and anthropogenic dispersal, rather than major climatic niche shifts, have shaped the contemporary invasion. Our findings highlight how integrating population genomics with niche analyses can resolve invasion processes and inform management of rapidly spreading invasive species.

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BibTeX
@article{choi2026repeated,
  title = {{Repeated Introductions and Anthropogenic Dispersal Fuel the Regional Expansion of Ambrosia trifida.}},
  author = {Tae-Young Choi and Dong-Chan Son and Soo-Rang Lee},
  journal = {Evolutionary applications},
  year = {2026},
  month = oct,
  doi = {10.1111/eva.70333},
  url = {https://europepmc.org/article/MED/42910216},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Repeated Introductions and Anthropogenic Dispersal Fuel the Regional Expansion of Ambrosia trifida.
AU  - Tae-Young Choi
AU  - Dong-Chan Son
AU  - Soo-Rang Lee
PY  - 2026
DA  - 2026/10/21
JO  - Evolutionary applications
DO  - 10.1111/eva.70333
UR  - https://europepmc.org/article/MED/42910216
AB  - Understanding the processes that shape biological invasions is essential for predicting the spread and persistence of introduced species, yet these processes remain poorly resolved for many unintentionally introduced plants. We combined genome-wide SNP data, demographic modeling, and climatic niche analyses to investigate the invasion of giant ragweed in South Korea. A total of 419 individuals from 35 introduced populations and 59 individuals from four native North American populations were analyzed. Introduced populations retained high genetic diversity and exhibited weak spatial structure, consistent with extensive human-mediated dispersal. Approximate Bayesian Computation supported a recent invasion within the last ~70 years involving multiple introductions from genetically divergent sources, followed by rapid divergence and severe but transient demographic bottlenecks. Climatic niche analyses revealed substantial overlap between native and introduced ranges but pronounced niche unfilling, indicating that Ambrosia trifida has yet to occupy its full potential climatic niche in South Korea. Together, these results show that repeated introductions, admixture, and anthropogenic dispersal, rather than major climatic niche shifts, have shaped the contemporary invasion. Our findings highlight how integrating population genomics with niche analyses can resolve invasion processes and inform management of rapidly spreading invasive species.
SN  - 1752-4571
ER  -