Evidence map›Paper›PMID 39505869›Full record

ArticleNature communications2024

Why models underestimate West African tropical forest primary productivity.

Huanyuan Zhang-Zheng, Xiongjie Deng, Jesús Aguirre-Gutiérrez, Benjamin D Stocker, Eleanor Thomson, Ruijie Ding, Stephen Adu-Bredu, Akwasi Duah-Gyamfi, Agne Gvozdevaite, Sam Moore and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

13 authors.

Huanyuan Zhang-ZhengEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom. huanyuan.zhang@ouce.ox.ac.uk.ORCID 0000-0003-4801-8771
Xiongjie DengEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7451-9732
Jesús Aguirre-GutiérrezEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9190-3229
Benjamin D StockerInstitute of Geography, University of Bern, Hallerstrasse 12, 3012, Bern, Switzerland.ORCID 0000-0003-2697-9096
Eleanor ThomsonEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.
Ruijie DingGeorgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK.
Stephen Adu-BreduForestry Research Institute of Ghana, Council for Scientific and Industrial Research, Kumasi, Ghana.
Akwasi Duah-GyamfiForestry Research Institute of Ghana, Council for Scientific and Industrial Research, Kumasi, Ghana.ORCID 0000-0003-3030-063X
Agne GvozdevaiteEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.
Sam MooreEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.
Imma Oliveras MenorEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5345-2236
I Colin PrenticeGeorgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK. c.prentice@imperial.ac.uk.ORCID 0000-0002-1296-6764
Yadvinder MalhiEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom. yadvinder.malhi@ouce.ox.ac.uk.ORCID 0000-0002-3503-4783

Funding

RCUK | Natural Environment Research Council (NERC) NE/I014705/1
6 · The paper itself

Abstract

Tropical forests dominate terrestrial photosynthesis, yet there are major contradictions in our understanding due to a lack of field studies, especially outside the tropical Americas. A recent field study indicated that West African forests have among the highest forests gross primary productivity (GPP) yet observed, contradicting models that rank them lower than Amazonian forests. Here, we show possible reasons for this data-model mismatch. We found that biometric GPP measurements are on average 56.3% higher than multiple global GPP products at the study sites. The underestimation of GPP largely disappears when a standard photosynthesis model is informed by local field-measured values of (a) fractional absorbed photosynthetic radiation (fAPAR), and (b) photosynthetic traits. Remote sensing products systematically underestimate fAPAR (33.9% on average at study sites) due to cloud contamination issues. The study highlights the potential widespread underestimation of tropical forests GPP and carbon cycling and hints at the ways forward for model and input data improvement.

Indexed as

Carbon CycleForestsPhotosynthesisTropical ClimateAfrica, WesternModels, TheoreticalRainforestTrees

Identifiers

PMID39505869
PMCPMC11541734

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.