Evidence map›Paper›PMID 42210590›Full record

ArticlePest management science2026

Integrating habitat suitability, socioeconomics, and infrastructure to assess global biological invasion risk under climate change: A case study of the rice stem borer, Chilo suppressalis.

Jinsol Hong, Minyoung Lee, Yongeun Kim, Yun-Sik Lee, June Wee, Jaejun Song, Taewoo Kim, Jung-Joon Park, Florian Kraxner, Woo-Kyun Lee and 2 more

Abstract read
In one paragraph

Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jinsol HongOjeong Resilience Institute, Korea University, Seoul, Republic of Korea.
Minyoung LeeDepartment of Integrative Biology, Michigan State University, East Lansing, USA.
Yongeun KimOjeong Resilience Institute, Korea University, Seoul, Republic of Korea.
Yun-Sik LeeDepartment of Biology Education, Pusan National University, Busan, Republic of Korea.
June WeeDepartment of Applied Biology, Chungnam National University, Daejeon, Republic of Korea.
Jaejun SongOjeong Resilience Institute, Korea University, Seoul, Republic of Korea.
Taewoo KimDepartment of Environmental Science and Ecological Engineering, Korea University, Seoul, Republic of Korea.
Jung-Joon ParkDepartment of Plant Medicine, Gyeongsang National University, Jinju, Republic of Korea.
Florian KraxnerAgriculture Forestry and Ecosystem Services Group, Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Woo-Kyun LeeOjeong Resilience Institute, Korea University, Seoul, Republic of Korea.
Youngil SongKorea Adaptation Center for Climate Change, Korea Environment Institute, Sejong, Republic of Korea.
Kijong ChoOjeong Resilience Institute, Korea University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7215-8945

Funding

Korea Ministry of EnvironmentMinistry of Education - South Korea
6 · The paper itself

Abstract

backgroundBiological invasion risk is a multifaceted concept that, according to the Food and Agriculture Organization (FAO), results from the likelihood of entry, establishment, and dispersal, along with the potential impact magnitude. Based on this definition, we developed a national-scale risk index using normalization and entropy-based objective weights. The striped rice stem borer (RSB, Chilo suppressalis) was used as a case study to demonstrate global invasion risk under Shared Socioeconomic Pathway (SSP) scenarios. Our framework integrated key data, including trade volume, transportation networks, cropland cover, irrigation, the Ecoclimate Index (EI) from the CLIMEX model, and rice harvest area to construct likelihood, and magnitude criteria. The final risk index (Risk) was calculated by multiplying likelihood and magnitude.

resultsSubstantial inhabitable areas (EI > 0) exist in Africa (60.7% of land area), North America (36.1%), and South America (85.6%). Risk was highest in South America (0.21), followed by Africa (0.18), North America (0.17), and Europe (0.08). Under SSPs, climate and land cover changes are projected to intensify regional differences in invasion risk. Risk is expected to increase in South America under all SSPs and in Europe under SSP585. In contrast, Risk is projected to decline in North America under all SSPs, while in Africa it shows a slight increase around the 2050s before decreasing.

conclusionRSB has sufficient potential to threaten global food security. Given the varied regional patterns of risk components, proactive, region-specific biosecurity measures are essential for high-risk hotspots. The proposed framework provides a valuable tool for pest risk assessment. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Climate ChangeEcosystemIntroduced SpeciesMothsAnimalsOryzaRisk AssessmentSocioeconomic Factorsclimate changeentropy weight methodinvasive speciespest risk assessmentrice stem borer (Chilo suppressalis)shared socioeconomic pathways (SSPs)

Identifiers

PMID42210590
PMCPMC13453207

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LicenceCC BY-NC
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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.