ArticleScientific reports2026
Assessing future invasion risk by Solanum viarum Dunal in Northwestern Himalaya to inform early detection and management.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.