Evidence map›Paper›PMID 38097646›Full record

ArticleScientific reports2023

Tree size diversity is the major driver of aboveground carbon storage in dryland agroforestry parklands.

Florent Noulèkoun, Sylvanus Mensah, HyungSub Kim, Heejae Jo, Gérard N Gouwakinnou, Thierry D Houéhanou, Michael Mensah, Jesse Naab, Yowhan Son, Asia Khamzina

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Florent NoulèkounAgroforestry Systems and Ecology Laboratory (ASEL), Department of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, South Korea.
Sylvanus MensahLaboratoire de Biomathématiques et d'Estimations Forestières, Faculté des Sciences Agronomiques, Université d'Abomey Calavi, Cotonou, Benin.ORCID 0000-0001-6838-749X
HyungSub KimEcosystem Ecology Laboratory, Department of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, South Korea.
Heejae JoAgroforestry Systems and Ecology Laboratory (ASEL), Department of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, South Korea.
Gérard N GouwakinnouResearch Unit of Biodiversity Conservation at the Interface People-Land Use and Climate Changes, Laboratory of Ecology, Botany and Plant Biology, Faculty of Agronomy, University of Parakou, BP 125, Parakou, Benin.
Thierry D HouéhanouResearch Unit of Biodiversity Conservation at the Interface People-Land Use and Climate Changes, Laboratory of Ecology, Botany and Plant Biology, Faculty of Agronomy, University of Parakou, BP 125, Parakou, Benin.
Michael MensahDepartment of Business Administration, University of Professional Studies, Accra, Ghana.
Jesse NaabWest African Science Service Center on Climate Change and Adapted Land Use (WASCAL), P.O. Box 9507, Ouagadougou 06, Burkina Faso.
Yowhan SonEcosystem Ecology Laboratory, Department of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, South Korea.
Asia KhamzinaAgroforestry Systems and Ecology Laboratory (ASEL), Department of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, South Korea. asia_khamzina@korea.ac.kr.

Funding

Core Research Institute Basic Science Research Program NRF-2021R1A6A1A10045235National Research Foundation of Korea (NRF) 2019R1I1A1A01064336National Research Foundation of Korea (NRF) NRF-2021R1A6A1A10045235
6 · The paper itself

Abstract

Despite the importance of agroforestry parkland systems for ecosystem and livelihood benefits, evidence on determinants of carbon storage in parklands remains scarce. Here, we assessed the direct and indirect influence of human management (selective harvesting of trees), abiotic factors (climate, topography, and soil) and multiple attributes of species diversity (taxonomic, functional, and structural) on aboveground carbon (AGC) stocks in 51 parklands in drylands of Benin. We used linear mixed-effects regressions and structural equation modeling to test the relative effects of these predictors on AGC stocks. We found that structural diversity (tree size diversity, H

Indexed as

EcosystemTreesBiodiversityBiomassCarbonForestsHumansSoilCarbonSoil

Identifiers

PMID38097646
PMCPMC10721610

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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.