Improve Carbon Budget Assessment in Floodplain Wetlands Using Hydrodynamic and Integrated Machine Learning Models

Abstract Floodplain wetlands play a crucial role in the global carbon cycle, yet the spatiotemporal variation of carbon flux in floodplain wetlands remains poorly understood due to complex hydrological processes. Here, we present an integrated framework to upscale net ecosystem CO2 exchange (NEE) in...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Yang Liu, Cheng Chen, Qiuwen Chen, Jianyun Zhang, Zheng Sun, Xingcheng Yan, Qi Huang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Wiley 2025-10-01
Σειρά:	Water Resources Research
Θέματα:	floodplain wetlands carbon flux upscaling hydrological regime integrated machine learning object‐based image analysis
Διαθέσιμο Online:	https://doi.org/10.1029/2025WR040128
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!