Why models underestimate West African tropical forest primary productivity

Autor: 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, Imma Oliveras Menor, I. Colin Prentice, Yadvinder Malhi
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-024-53949-0
Popis: 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.
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