Evidence map›Paper›PMID 41188520›Full record

ArticleScientific reports2025

Spatial prediction of Spodoptera frugiperda expansion in India using MaxEnt under shifting climate regimes.

Kalirajan Murugasridevi, V S Manivasagam, Sudheesh Manalil

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Kalirajan Murugasridevi *Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, J. P. Nagar, Arasampalayam, Coimbatore, 642109, India. k_murugasridevi@cb.amrita.edu.ORCID http://orcid.org/0000-0001-8955-9000
V S Manivasagam *Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, J. P. Nagar, Arasampalayam, Coimbatore, 642109, India. vs_manivasagam@cb.amrita.edu.ORCID https://orcid.org/0000-0002-6186-8941
Sudheesh ManalilAmrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, J. P. Nagar, Arasampalayam, Coimbatore, 642109, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Fall Armyworm (FAW), Spodoptera frugiperda, is a highly invasive pest threatening graminaceous crops and global food security due to its aggressive feeding and migratory behavior. Abiotic factors, particularly climatic variables, along with the spatial distribution of maize, its primary host, play a critical role in shaping the geographic distribution, survival, and development of S. frugiperda. As a recent invader in India, understanding its potential spread under changing climate conditions is essential. This study applied the MaxEnt model using CMIP6 climate projections (BCC-CSM2-MR and MIROC6) under SSP126 and SSP585 scenarios to forecast FAW distribution. The model showed strong predictive accuracy (AUC > 0.85; TSS = 0.59), with annual temperature range (Bio7) and maize distribution identified as key predictors. Under current conditions, 40.5% of India is suitable for FAW, with high suitability concentrated in southern and eastern states. Projections for 2030 suggest slight expansion under SSP126 (41%) and contraction under SSP585 (37%) in the BCC-CSM2-MR model, while MIROC6 estimates 39% and 40%, respectively. Interestingly, suitability is projected to increase in central and northeastern regions, while optimal zones may shrink due to thermal stress. These findings highlight FAW's expanding risk under climate change and provide actionable insights for climate-resilient pest management in India.

Indexed as

Climate ChangeSpodopteraAnimalsCrops, AgriculturalIndiaIntroduced SpeciesModels, TheoreticalTemperatureZea maysBioclimatic variablesIndiaInvasive pestMaxEntSpecies distribution modellingSpodoptera frugiperda

Identifiers

PMID41188520
PMCPMC12586441

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.