Evidence map›Paper›PMID 39759375›Full record

ArticleHeliyon2024

Tree community, vegetation structure and aboveground carbon storage in Atlantic tropical forests of Cameroon.

Jean Louis Fobane, Jules Christian Zekeng, Cédric Djomo Chimi, Jean Michel Onana, André Paul Ebanga, Léonnel Djoumbi Tchonang, Ameline Clarance Talla Makoutsing, Marguerite Marie Mbolo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jean Louis FobaneDepartment of Biology, Higher Teachers' Training College, University of Yaounde I, P.O. Box 47, Yaounde, Cameroon.
Jules Christian ZekengDepartment of Forest Engineering, Advanced Teachers Training School for Technical Education, University of Douala, P.O. Box 1872, Douala, Cameroon.
Cédric Djomo ChimiConservation and Sustainable Natural Resources Management Network (CSNRM-Net), P.O. Box 8554, Yaounde, Cameroon.
Jean Michel OnanaDepartment of Plant Biology, Faculty of Science, University of Yaounde I, P.O. Box: 812, Yaounde, Cameroon.
André Paul EbangaConservation and Sustainable Natural Resources Management Network (CSNRM-Net), P.O. Box 8554, Yaounde, Cameroon.
Léonnel Djoumbi TchonangConservation and Sustainable Natural Resources Management Network (CSNRM-Net), P.O. Box 8554, Yaounde, Cameroon.
Ameline Clarance Talla MakoutsingConservation and Sustainable Natural Resources Management Network (CSNRM-Net), P.O. Box 8554, Yaounde, Cameroon.
Marguerite Marie MboloDepartment of Plant Biology, Faculty of Science, University of Yaounde I, P.O. Box: 812, Yaounde, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding Atlantic tropical forests' ecological dynamics and carbon storage potential in Cameroon is crucial for guiding sustainable management and conservation strategies. These forests play a significant role in carbon sequestration and biodiversity conservation. This study aimed to fill existing knowledge gaps by characterising plant communities, assessing the vegetation structure, and quantifying the potential of carbon stocks. Twelve 1-ha permanent plots were established within the Atlantic forests of Okoroba and Yingui to achieve these objectives. All the trees with diameters at breast height (DBH) ≥10 cm were inventoried, and various environmental data, including soil texture and climate information, were collected. The Multivariate Regression Trees (MRT) technique was employed to analyse species composition and identify different plant communities (PCs). Additionally, multiple regression models were used to examine the effects of environmental variables and stand size structure on non-destructive carbon stock assessments. The MRT analysis was conducted on 6425 trees spanning 317 species, 212 genera and 60 families, and it identified three distinct PCs with unique species compositions and environmental preferences. The study revealed variations in tree density, ranging from 425 to 645 N ha

Indexed as

Biodiversity conservationCarbon sequestrationForest structure dynamicMultivariate regression treesSustainable forest management

Identifiers

PMID39759375
PMCPMC11700276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.