Nature CommunicationsEcologyPeer-reviewed journal article
Why models underestimate West African tropical forest productivity
H. ZhangiD, Xiongjie DengiD, Jesús Aguirre‐GutiérreziD, Benjamin David StockeriD, Eleanor R. ThomsoniD, Ruijie DingiD, Stephen Adu‐BreduiD, Akwasi Duah‐GyamfiiD, Agne GvozdevaiteiD, Sam MooreiD, Imma Oliveras MenoriD, Iain Colin PrenticeiD, Yadvinder Singh MalhiiD
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 explore possible reasons for this data-model mismatch. We found the in situ GPP measurements higher than multiple global GPP products at the studied sites in Ghana. The underestimation of GPP by models 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. Satellites systematically underestimate fAPAR in the tropics 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. Related manuscriptThe recent field study mentioned above is a manuscript currently accepted by Nature Communications (manuscript id NCOMMS-23-37419), which is available as a preprint https://www.researchsquare.com/article/rs-3136892/v1 Codes and data availabilityAll data and codes underlying the study are currently shared via Github (link here) which will be made available through Zenodo upon acceptance.
- assay: metagenomics
- assay: proteomics
- research focus: ecology & biodiversity
- research focus: benchmarking
- research focus: database / resource
- approach: experimental assay
- Citations
- 29
- FWCI
- 3.46
- Field percentile
- top 6%
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