Evidence map›Paper›PMID 39110704›Full record

ArticlePloS one2024

Orchid species diversity across a forest disturbance gradient in west Mau forest, Kenya.

Job N Mirioba, William Emitaro, Benson Obwanga, Humphrey Gaya, Nereoh Leley, John Otuoma, John M Maina, Fanuel Kawaka

Abstract read
In one paragraph

Article in PloS one, 2024. 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

8 authors.

Job N MiriobaJaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo, Kenya.ORCID 0009-0002-8025-7246
William EmitaroJaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo, Kenya.
Benson ObwangaLaikipia University (LU), Nyahururu, Kenya.
Humphrey GayaGenetic Resources Research Institute (GeRRI), Kikuyu, Kenya.
Nereoh LeleyKenya Forestry Research Institute (KEFRI), Londiani, Kenya.
John OtuomaKenya Forestry Research Institute (KEFRI), Kisumu, Kenya.
John M MainaJaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo, Kenya.
Fanuel KawakaJaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo, Kenya.ORCID 0000-0002-3922-551X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orchidaceae is one of the most diverse and widespread groups of flowering plants. Despite their immense ecological and socio-economic value, their spatial distribution across forest disturbance gradient is not well understood, particularly in tropical montane forests. This study assessed the influence of forest degradation on orchid species richness and abundance in West Mau Forest, Kenya. Stratified systematic sampling was adopted across three different disturbance regimes consisting of relatively intact forest, moderately disturbed forest and highly degraded forest. A total of five orchid species were recorded from nine host-tree species. The intact forest had seven host tree species with five orchid species. The moderately degraded forest had four host-tree species with two orchid species, while the highly degraded forest that had no orchids. Polystachya confusa was the most abundant orchid species (600.0±227.9 clumps ha-1) followed by Bulbophyllum sp (340.0±112.2 clumps ha-1), Chamaeangis sp (300.0±115.5 clumps ha-1), Aerangis sp (200.0±57.7 clumps ha-1) and Tridactyle sp (100.0±0.0 clumps ha-1). The results of this study indicate that forest degradation reduces orchid species diversity in tropical montane forests. They also show that orchids are bioindicators of forest degradation status.

Indexed as

BiodiversityForestsOrchidaceaeConservation of Natural ResourcesKenya

Identifiers

PMID39110704
PMCPMC11305582

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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.