Evidence map›Paper›PMID 41028014›Full record

ArticleScientific reports2025

Population assessment and habitat suitability modelling of endangered medicinal plant, Aconitum heterophyllum Wall. ex Royle in the western Himalaya.

Simran Tomar, Shinny Thakur, K S Kanwal, I D Bhatt, Sunil Puri

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Predicting the Potential Distribution ofPlants (Basel, Switzerland) · 2026
    Article
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  6. 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

5 authors.

Simran TomarInstitute of Water, Waste and Environmental Engineering, University of Kassel, 34125, Kassel, Germany.
Shinny ThakurDivision of Forestry Statistics, Indian Council of Forestry Research and Education (ICFRE), Dehra Dun, 248 006, India.
K S KanwalG. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, 263643, India. kskanwal@gbpihed.nic.in.
I D BhattG. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, 263643, India.
Sunil PuriSchool of Biological Sciences and Environmental Sciences , Shoolini University of Biotechnology and Management Sciences, Solan, 173212, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is considered one of the major threats to species extinction. The impact of climate change on the distribution of Aconitum heterophyllum, an endangered species in the northwestern Himalayan state of Himachal Pradesh, remain largely unexplored. In this study, species occurrence data, bioclimatic variables and population distribution data were used to map the current and future distribution (2050 and 2070) of A. heterophyllum. Species Distribution Modelling (SDM) based on Maximum Entropy (MaxEnt) algorithm, driven by climate data from the Global Circulation Model HadGEM3-GC31-LL, statistically downscaled to 1 km spatial resolution, was used for species distribution mapping. Three future scenarios, represented by Shared Socioeconomic Pathways (SSPs)-SSP126, SSP245, and SSP585, were considered. The Bioclimatic variables (Bio 15), which is precipitation seasonality and elevation, were found to positively influence the distribution of A. heterophyllum in the studied locations. Precipitation seasonality ensures adequate water availability in cold and dry habitats, while higher elevations corresponded to high suitablility habitats in the Himalaya. The SDM predicted a total suitable area of 1863.7 km

Indexed as

AconitumEcosystemEndangered SpeciesPlants, MedicinalClimate ChangeConservation of Natural ResourcesIndiaClimate changeConservation planningEndangered plantsHabitat lossMaxEnt modelingWestern Himalaya

Identifiers

PMID41028014
PMCPMC12484762

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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.