Evidence map›Paper›PMID 37821469›Full record

ArticleScientific reports2023

Vegetation-environment interactions: plant species distribution and community assembly in mixed coniferous forests of Northwestern Himalayas.

Inayat Ur Rahman, Robbie E Hart, Aftab Afzal, Zafar Iqbal, Rainer W Bussmann, Farhana Ijaz, Muazzam Ali Khan, Hamid Ali, Siddiq Ur Rahman, Abeer Hashem and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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. 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

13 authors.

Inayat Ur RahmanDepartment of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan. driurahman@gmail.com.
Robbie E HartWilliam L. Brown Center, Missouri Botanical Garden, P.O. Box 299, St. Louis, MO, 63166-0299, USA.
Aftab AfzalDepartment of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan. aftabafzalkiani@yahoo.com.
Zafar IqbalDepartment of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan.
Rainer W BussmannDepartment of Ethnobotany, Institute of Botany, Ilia State University, 1 Botanical Street, 0105, Tbilisi, Georgia.
Farhana IjazDepartment of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan.
Muazzam Ali KhanDepartment of Botany, Bacha Khan University, Charsadda, 24460, KP, Pakistan.
Hamid AliDepartment of Biotechnology and Genetic Engineering, Hazara University, Mansehra, 21300, KP, Pakistan.
Siddiq Ur RahmanDepartment of Computer Science and Bioinformatics, Khushal Khan Khattak University, Karak, 27200, KP, Pakistan.
Abeer HashemBotany and Microbiology Department, College of Science, King Saud University, P.O. Box. 2460, 11451, Riyadh, Saudi Arabia.
Elsayed Fathi Abd-AllahDepartment of Plant Production, College of Food and Agriculture Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Ali SherDepartment of Agriculture, Bacha Khan University, Charsadda, KP, Pakistan.
Eduardo Soares CalixtoDepartment of Biology, University of Missouri St. Louis (UMSL), Saint Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main goals of ecological studies is to disentangle the dynamics that underlie the spatiotemporal distribution of biodiversity and further functions of the ecosystem. However, due to many ecological and geopolitical reasons, many remote areas with high plant species diversity have not been assessed using newly based analytical approaches for vegetation characterization. Here, we classified and characterized different vegetation types (i.e., major plant communities) based on indicator species and on the influence of different environmental gradients in the Himalayan mixed coniferous forest, Pakistan. For that, we addressed the following questions: Does the vegetation composition of the Himalayan mixed coniferous forest correlate with climatic, topographic, geographic, and edaphic variables? Is it possible to identify plant communities through indicator species in relation to environmental gradients using multivariate approaches? Can this multivariate be helpful for conservation planning? During four consecutive years we assessed the vegetation composition and environmental variables (21 variables divided in geographic, climatic, topographic, and edaphic groups) of 156 50 m-trasects between an elevation of 2000-4000 m. Using newly based analytical approaches for community characterization, we found a total of 218 plant species clustered into four plant communities with the influence of environmental gradients. The highest index of similarity was recorded between Pinus-Cedrus-Viburnum (PCV) and Viburnum-Pinus-Abies (VPA) communities, and the highest index of dissimilarity was recorded between PCV and Abies-Juniperus-Picea (AJP) communities. Among these four communities, highest number of plant species (156 species) was recorded in PCV, maximum alpha diversity (H' = 3.68) was reported in VPA, highest Simpson index (0.961) and Pielou's evenness (0.862) were reported in VPA and AJP. The edaphic gradients (i.e., organic matter, phosphorous, pH and soil texture) and climatic factors (temperature, humidity) were the strongest environmental gradients that were responsible for structuring and hosting the diverse plant communities in mixed coniferous forest. Finally, the Himalayan mixed coniferous structure is more influenced by the spatial turnover beta-diversity process (βsim) than by the species loss (nestedness-resultant, βsne). Our analysis of the vegetation structure along the environmental gradient in the Himalayan mixed coniferous forest supported by sophisticated analytical approaches reveled indicator species groups, which are associated to specific microclimatic zones (i.e., vegetation communities). Within this focus, we side with the view that these results can support conservation planning and management for similar and different areas providing mitigating and preventive measures to reduce potential negative impacts, such as anthropic and climatic.

Indexed as

AbiesJuniperusPiceaPinusTracheophytaBiodiversityEcosystemForestsPlantsSoilSoil

Identifiers

PMID37821469
PMCPMC10567734

What OpenQuestion holds

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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.