Are locally trained allometric functions of forest aboveground biomass universal across spatial scales and forest disturbance scenarios?

Benedikt Hartweg, Leonard Schulz, Andreas Huth, Konstantinos Papathanassiou and Lukas W. Lehnert

Ecological Modelling, 2025, vol. 510, issue C

Abstract: Large scale above-ground-biomass (AGB) estimation remains highly uncertain. Multi-sensor, multi-scale and multi-temporal analyses are crucial for capturing the dynamics and the heterogeneity of forests. The European Space Agency’s BIOMASS mission will play a key role in future biomass monitoring. Considering the differences in the spatial scales of input datasets, it is essential to investigate these scale effects. This study examines whether locally trained allometric relationships between forest height and AGB are scale-dependent and how forest disturbances impact these estimates.

Keywords: Carbon cycle; Tropical forests; Biomass; Allometry; Scales; Forest height; Forest model (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025003254

DOI: 10.1016/j.ecolmodel.2025.111339

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