Evidence map›Paper›PMID 42265186›Full record

ArticleScientific reports2026

Assessing future invasion risk by Solanum viarum Dunal in Northwestern Himalaya to inform early detection and management.

Saima Jan, Abdul Rahim Pp, Mujtaba Aamir Bhat, Safikur Rahman, Zishan Ahmad Wani, Arif Tasleem Jan, Yashwant S Rawat

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Saima JanDepartment of Botany, School of Biosciences and Biotechnology, Baba Ghulam Shah University, Rajouri, 185234, Jammu and Kashmir, India.
Abdul Rahim PpTerrestrial Ecology and Modelling (TEaM) Lab, Department of Environmental Science and Engineering, SRM University-AP, Amravati, 522240, Andhra Pradesh, India.
Mujtaba Aamir BhatDepartment of Botany, School of Biosciences and Biotechnology, Baba Ghulam Shah University, Rajouri, 185234, Jammu and Kashmir, India.
Safikur RahmanDepartment of Botany, Munshi Singh College, BR Ambedkar Bihar University, Muzzafarpur, 845401, Bihar, India.
Zishan Ahmad WaniDepartment of Environmental Science and Engineering, SRM University- AP, Amravati, 522240, Andhra Pradesh, India.
Arif Tasleem JanDepartment of Botany, School of Biosciences and Biotechnology, Baba Ghulam Shah University, Rajouri, 185234, Jammu and Kashmir, India. atasleem@bgsbu.ac.in.
Yashwant S RawatDepartment of Wood Technology Management, Faculty of Civil Technology, Technical and Vocational Training Institute (TVTI), Addis Ababa, Ethiopia. yasrawat@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the potential distribution patterns of invasive species under changing climatic conditions is important for biodiversity conservation and ecological risk assessment. The present study aims to predict the current and future distribution of Solanum viarum Dunal in Jammu and Kashmir, India, using species distribution modelling approach. The MaxEnt model demonstrated excellent performance, with an Area under Curve (AUC), True Skill Statistics (TSS) and Boyce Index values of 0.96, 0.77 and 0.84, respectively, indicating high predictive accuracy. Mean annual air temperature (Bio1) emerged as the most influential variable, contributing 55% to the predicted distribution of S. viarum. Under current climatic conditions, 12.38% and 1.39% of the area fall under medium and high suitability classes, respectively, across the Jammu region, whereas most of the Kashmir Valley falls within low suitability zones. Future climate projections indicate a notable increase in the potential distribution of S. viarum with a varied extent of suitable habitat under different future climatic scenarios. Under the SSP245 scenario, the species is projected to experience a range change of 29.03% by 2050, increasing to 160.84% by 2070. Under the SSP585 scenario, the suitable area is predicted to undergo range expansion of 131.89% and 58.99% by 2050 and 2070, respectively. Furthermore, expansion of medium and high suitability areas within protected areas is projected under both climatic scenarios, with a more pronounced increase under SSP245 by 2070 (~ 169%). The projected expansion of S. viarum highlights the need for proactive management planning. Integrating model outputs with local ecological knowledge, land-use information, and systematic monitoring is likely to enhance the effectiveness of management interventions. The findings of the study provide a strong scientific basis for developing early detection and rapid response strategies to limit the further spread of S. viarum and maintain conservation priorities.

Indexed as

Introduced SpeciesSolanumBiodiversityClimate ChangeConservation of Natural ResourcesEcosystemHimalayasIndiaRisk AssessmentClimate changeEarly detectionInvasive speciesProtected areasRange change

Identifiers

PMID42265186
PMCPMC13493830

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