Aug 2026· Geoscientific Model Development· 1 citation· 147 references
Abstract
Abstract. We extend the Dynamic Global Vegetation Model LPJmL to version 6.0 by explicitly representing methane (CH4) dynamics within the coupled carbon–nitrogen–water system. The implementation (i) prognoses water-table depth and wetland extent using a CTI–TOPMODEL framework, (ii) solves sub-daily, vertically explicit mass balances for CH4 and O2 including diffusion, ebullition, and plant-mediated transport, (iii) represents methanogenesis and methanotrophy with temperature- and moisture-dependent kinetics, and (iv) integrates land-use and rice management effects alongside inundation-tolerant plant functional types. This architecture enables consistent simulation of CH4, carbon dioxide (CO2) and nitrous oxide (N2) emissions from natural wetlands and managed systems together with the soil CH4 sink. Extensive benchmarking against global datasets shows that LPJmL6 reproduces the magnitude and regional–temporal variability of CH4 flux pathways while maintaining strong skill in the simulated terrestrial carbon, nitrogen, and water budgets. The model thus provides a coherent, process-based framework to quantify CH4 within the coupled carbon–nitrogen–water system, elucidate interactions with vegetation and soils, and assess how land-use, wetland conservation and restoration, and rice management options affect methane and overall greenhouse–gas budgets in support of climate-mitigation strategies.
Heterogeneity in wetland hydrology and vegetation influences biogeochemical processes, and since wetlands store significant global organic carbon and contribute substantially to CH4 emissions, accurately modeling these dynamics over space and time is critical. This study used the process-based model ecosys to simulate...
E. Hassett, Ashley Brereton, Z. A. Mekonnen et al.· Science of the Total Environ...· 0 citations
Earth System Models (ESMs) rely heavily on High-Performance Computing (HPC) resources to simulate global climate. As these models evolve, their computational demands continue to grow, driven by three factors: (1) finer spatial grid resolutions, (2) the integration of complex biogeochemical processes (e.g., atmospheric...
Sergi Palomas, P. Aparici, Gladys Utrera et al.· 0 citations
Wetlands are critical for climate regulation, with their hyporheic zone serving as sensitive interfaces for groundwater-soil-atmosphere exchange. These zones are active hotspots for carbon-nitrogen cycling and greenhouse gas (GHG) emissions (CO2, CH4, N2O), yet the impact of water level fluctuations on these emissions...
Qingbang Du, Ruiliang Xu, Yu Qin et al.· Journal of Environmental Man...· 0 citations
Land surface models (LSMs) such as the Community Land Model version 5 (CLM5) are central to climate–carbon assessments but exhibit persistent biases relative to site‐level observations. It remains unclear to what extent model‐data mismatches arise from uncertainty in meteorological forcing, soil properties, or vege...
Fernand B. Eloundou, Lukas Strebel, B. Naz et al.· Journal of Geophysical Resea...· 1 citation
Peatlands are a major natural source of atmospheric methane (CH4). Yet their responses to warming remain highly uncertain, because ecosystem‐level understanding of warming effects on CH4 production and oxidation is limited. Here, we conducted an open‐top chamber (OTC) warming experiment in the world's largest alpine pe...
Cheng-Zhu Liu, Guohua Dai, Zong-Guang Liu et al.· Global Change Biology· 0 citations
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