Evidence map›Paper›PMID 40335891›Full record

ArticleBMC ecology and evolution2025

Woody plant species composition, structure, and regeneration status of ruruki forest of Liban Jawi District, West Shewa Zone, Oromia Regional State, Ethiopia.

Bayissa Belay, Tena Regasa, Siraj Mammo

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Bayissa BelayAmbo University College of Agriculture and Veterinary Science, Ambo, Ethiopia.
Tena RegasaDepartment of Biology, College of Natural and Computational Sciences, Wallaga University, Nekemte, Ethiopia.
Siraj MammoColleges of Natural and Computational Science, Ambo University, Ambo, Ethiopia. sirajmammo@gmal.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study was conducted to assess the woody plant species composition, population structure, and regeneration status of Ruruki Forest. A total of 30 sample plots, each 20 m × 20 m, were established using a systematic sampling method. A sub-plot of 5 m × 5 m was used to count saplings and seedlings. To describe the vegetation structure of the study forest we computed DBH and height size frequency distributions of individuals and species importance value indexes (IVI).A total of 70 woody species which categorized into 64 genera, and 45 families were identified of which 57.14% were trees, while shrubs and lianas cover37.14%and5.7%, respectively. The total density of woody species recorded was 868.33 individuals / ha. The highest IVI index was recorded for Syzygium guineense species, indicating the species is ecologically important. The results of height showed that there was a greater predominance of small-sized individuals of woody species than large-sized woody species for the study forest. The general pattern of the DBH class distribution of the forest showed an irregular distribution, which implies there was some selective cutting of individual woody species for different purposes. The overall regeneration status of the forest was found to be fair. Generally, the result obtained from this study shows that there is disturbances and selective cutting of trees in the forest. Hence, there is a need for full participation in sustainable forest management to control selective cutting and to apply the best forest management practices, such as reforestation and afforestation.

Indexed as

BiodiversityForestsTreesEthiopiaWoodBiological diversityRegeneration statusSpecies compositionStructure

Identifiers

PMID40335891
PMCPMC12057133

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.