Evidence map›Paper›PMID 36365418›Full record

ArticlePlants (Basel, Switzerland)2022

Determining Effective Environmental Factors in the Distribution of Endangered Endemic Medicinal Plant Species Using the BMLR Model: The Example of Wild Celery (

Esfandiar Jahantab, Mohammad Reza Mahmoudi, Mohsen Sharafatmandrad, Vahid Karimian, Esmaeil Sheidai-Karkaj, Abdolvahab Khademi, Mohammad Reza Morshedloo, Christophe Hano, Jose M Lorenzo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2022. 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. Review
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

9 authors.

Esfandiar JahantabDepartment of Range and Watershed Management (Nature Engineering), Faculty of Agriculture, Fasa University, Fasa P.O. Box 74616, Iran.ORCID 0000-0001-5694-851X
Mohammad Reza MahmoudiDepartment of Statistics, Faculty of Science, Fasa University, Fasa 74616, Iran.ORCID 0000-0003-4686-0930
Mohsen SharafatmandradDepartment of Ecological Engineering, Faculty of Natural Resources, University of Jiroft, Jiroft P.O. Box 7867161167, Iran.ORCID 0000-0003-4890-1839
Vahid KarimianDepartment of Nature Engineering, Faculty of Natural Resources, Yasouj University, Yasouj P.O. Box 75918, Iran.
Esmaeil Sheidai-KarkajDepartment of Range and Watershed Management, Faculty of Natural Resources, Urmia University, Urmia P.O. Box 57561, Iran.ORCID 0000-0003-2281-0357
Abdolvahab KhademiDepartment of Mathematics and Statistics, University of Massachusetts, Amherst, Boston, MA 01003, USA.
Mohammad Reza MorshedlooDepartment of Horticultural Science, Faculty of Agriculture, University of Maragheh, Maragheh P.O. Box 55187, Iran.ORCID 0000-0002-6028-3546
Christophe HanoLaboratoire de Biologie des Ligneux et des Grandes Cultures, INRA USC1328, Orleans University, CEDEX 2, 45067 Orléans, France.ORCID 0000-0001-9938-0151
Jose M LorenzoCentro Tecnológico de la Carne de Galicia, Rúa Galicia Nº 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain.ORCID 0000-0002-7725-9294

Funding

Région Centre Val de Loire ETOPOCENTRE
6 · The paper itself

Abstract

Kelussia odoratissima Mozaff. is a medicinal species native to Iran. The goal of this research was to determine the environmental factors important for the distribution of K. doratissima in Iran using BMLR modeling. Six random transects were established throughout the species’ habitat, and 220 quadrats with an area of 4 m2 were plotted. The canopy cover percentages of K. doratissima were estimated in each quadrat. Topographic factors, including elevation, slope, and aspect maps, were generated by creating DEM images. Land use, land evaluation, evaporation, temperature, and precipitation maps of the area were created accordingly. The data collected from the experiments were analyzed using the Minitab and R statistical packages. To determine the effect of the studied factors in the distribution of K. doratissima, we ran a set of backward multiple linear regressions. The results showed that the effects of evaporation, elevation, and slope were significant in the species’ distribution, with elevation having a positive effect and evaporation and slope showing negative effects. Further, elevation had the highest effect on distribution (greatest absolute value of beta at 9.660). The next most significant factors in the plant’s distribution were evaporation (beta = 8.282) and slope (beta = 0.807), respectively.

Indexed as

ecological factorsendangered speciesKelussia odoratissima Mozaff.mountainous rangeland

Identifiers

PMID36365418
PMCPMC9655162

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.