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Eco-hydrological processes in controlling vertical and lateral carbon fluxes in a subtropical salt marsh: Insights from modeling and scale-resolved analysis

  • Ke Hua Zhu
  • , Li Shan Tan
  • , Guan Xun Wang
  • , Li Ming Xue
  • , Zeng Feng Li
  • , Hua Yu Chen
  • , Qing Lyu
  • , Bo Fei Li
  • , Wei Zhao
  • , Christian Schwarz*
  • , Zhen Ming Ge*
  • *Corresponding author for this work
  • East China Normal University
  • KU Leuven
  • Chinese University of Hong Kong
  • Sun Yat-Sen University
  • Ministry of Education of the People's Republic of China

Research output: Contribution to journalArticlepeer-review

Abstract

Carbon exchange in coastal salt marshes is shaped by complex interactions among vegetation-soil system, climate, and tidal regimes. In this study, the spatiotemporal heterogeneity and environmental driving of the vertical and lateral carbon cycle in a subtropical salt marsh were investigated by utilizing a process-based model (SMM-YE). Following the simulation of high-frequency carbon fluxes, a joint diagnostic analysis (XGBoost-SHAP) was used to quantify the scale-dependent seasonal variability and regulatory patterns of environmental factors. Due to high integration of species-specific phenology, hydrodynamic processes, and carbon biogeochemistry, the model effectively captures the seasonal course of gross primary productivity (GPP), ecosystem respiration (ER), net ecosystem exchange (NEE), methane flux (FCH4), dissolved organic and inorganic carbon fluxes (FDOC, FDIC). The diagnostic analysis indicated that NEE and FDOC were sensitive to air temperature and tides, respectively. FCH4 showed a seasonal variability in its sensitivity to thermal and hydrodynamic factors, while FDIC tended to respond jointly to both drivers. The wavelet-based spectral analysis displayed the divergences in spectral characteristics between the vertical and lateral carbon fluxes, as that NEE and FCH4 displayed smooth energy distributions that aligned closely with temperature, whereas FDOC and FDIC exhibited more variable energy profiles synchronized with tide. The wavelet coherence analyses further illustrated the scale-dependent controls in vertical and lateral carbon fluxes synchronized with diurnal and tidal cycles, respectively. As a result, the dynamics of net ecosystem carbon balance exhibited marked spatiotemporal variability. Our findings highlight the importance of high-resolution mechanistic studies for rigorous carbon accounting and prediction of long-term sequestration potential in coastal ecosystems.

Original languageEnglish
Article number110299
JournalCatena
Volume272
DOIs
StatePublished - Oct 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Carbon flux
  • Coastal wetland
  • Machine learning
  • Process-based model
  • Wavelet analysis

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