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UID:pretalx-global-workshop-2026-PEKSXV@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261007T164500
DTEND;TZID=Europe/Amsterdam:20261007T170000
DESCRIPTION:The organic carbon flux entering the pedosphere through forest 
 litterfall is a critical indicator of forest ecosystem functioning and a p
 rimary driver of soil respiration (RS). However\, accurately quantifying l
 itterfall spatiotemporal dynamics at the global scale remains a major chal
 lenge due to the scarcity of high-resolution Earth Observation (EO) framew
 orks coupled with extensive ground observations. \nHere\, we present a nov
 el GeoAI-driven approach that synthesizes 14\,912 in-situ observations acr
 oss 843 sites globally with multi-source remote sensing data. By leveragin
 g machine learning algorithms\, we decoupled complex biogeochemical mechan
 isms and generated a 500-m spatial resolution global forest litterfall pro
 duct. Furthermore\, we integrated these high-resolution EO derivatives int
 o an Olson legacy model to quantify the impact of litterfall on RS across 
 different forest biomes. \nOur results reveal significant spatial heteroge
 neity in biogeochemical coupling\, highlighting asymmetric microbial respo
 nses between tropical forests (characterized by high turnover rates) and t
 emperate/boreal forests (exhibiting biogeochemical inertia). This study de
 monstrates the profound potential of integrating open Earth Observation da
 ta and machine learning to monitor global forest dynamics. Our 500-m globa
 l product provides a vital\, scalable data infrastructure for next-generat
 ion Earth system models\, biodiversity conservation\, and forest carbon ma
 nagement. \n(Note: This research has been recently published in Remote Sen
 sing of Environment\, 2026\, https://doi.org/10.1016/j.rse.2026.115373)
DTSTAMP:20260624T084404Z
LOCATION:Rooms 12+14
SUMMARY:Mapping Global Forest Litterfall Dynamics at 500-m Resolution via G
 eoAI: Implications for Forest Ecosystem Functioning and Soil Respiration -
  Chunsheng Wang
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/PEKSXV/
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