Evidence map›Paper›PMID 40170834›Full record

ArticleEcology and evolution2025

Effects of Climate Change Scenarios on Population and Distribution Pattern of Tree-Ferns in Nepal.

Ripu M Kunwar, Dipak Khadka, Khum Thapa-Magar, Binaya Adhikari, Durga H Kutal, Rama Ghimire, Komal R Kafle, Sony Baral, Gokarna J Thapa, Ananta Bhandari

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Comparative volatile profiling ofFrontiers in plant science · 2026
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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

10 authors.

Ripu M KunwarResearch Centre for Applied Science and Technology Tribhuvan University Kirtipur Nepal.ORCID https://orcid.org/0000-0002-9303-0932
Dipak KhadkaSouth China Agricultural University Guangzhou China.
Khum Thapa-MagarInstitute of Arctic and Alpine Research University of Colorado Boulder Colorado USA.
Binaya AdhikariDepartment of Biology University of Kentucky Lexington Kentucky USA.ORCID https://orcid.org/0000-0002-1777-5879
Durga H KutalAugusta University St. Augusta Georgia USA.
Rama GhimireCentral Department of Environmental Science Tribhuvan University Kirtipur Nepal.
Komal R KafleDistrict Forest Office Kaski Nepal.
Sony BaralOffice of Deans, Institute of Forestry Tribhuvan University Kirtipur Nepal.
Gokarna J ThapaWWF Nepal Program Kathmandu Nepal.
Ananta BhandariWWF Nepal Program Kathmandu Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By studying the population structure and spatial characteristics, the relationship between tree-ferns and the environment can be reflected, which has high practical significance. In this study, we employed an ensemble distribution model to evaluate the relative contribution of various environmental variables and predict suitable habitats for tree-fern across past, present, and future periods. Fieldwork was carried out between May-June 2019 and September 2022 in 11 districts of Nepal for population sampling and collecting the geocoordinates. Additional geocoordinates were collected from secondary sources such as previous literature, herbarium records, and online resources. We reported the occurrence of tree-ferns from 28 districts within the altitudinal range of 300-2500 m. Longitudinally, the species is distributed only in central and eastern Nepal, with maximum density in central Nepal's Kaski and Lamjung districts. The central mid-hills of Koshi and Gandaki provinces, particularly with the moist habitats and maximum rainfall, are suitable for the distribution of tree-ferns. The projected distribution is influenced mainly by the mean temperature of the coldest quarter-Bio11 (34.9%), precipitation in dry months-Bio14 (34.5%), and mean annual temperature-Bio1 (33.9%). Climate extreme variables (maximum temperature in warmest months-Bio5, minimum temperature in coldest months-Bio6, precipitation in wettest months-Bio13, precipitation in wettest quarter-Bio16) contract the future distribution of species. The result portrays an expansion of suitable habitat for tree-ferns while minor contractions are predicted in four districts of Bagmati province. As the Gandaki province receives the highest rainfall and the Koshi province has rich soil moisture, and precipitation plays a significant role in distribution, humid riverine places of Koshi and Gandaki support tree-fern populations. Tree-ferns could be an indicator species of the moist and humid climate. Given the extensive distribution in Nepal, India, and China, sustainable conservation of tree-ferns through a species conservation action plan holds broader implications.

Indexed as

climate changedistributionmid‐hillsmodelingtree‐ferns

Identifiers

PMID40170834
PMCPMC11955302

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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.