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Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
Published on: March 12, 2013
Topography Dependence of Terrestrial Litter-Derived Soil Respiration
Siyi Tan1,2,3, Jing M Chen1,2,3,4, Xingzhou Huang1
1Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, China.
None:
Carbon (C) released from decomposing plant litter constitutes a major component of soil CO2 efflux at the land surface, yet its contribution is rarely constrained separately from heterotrophic respiration of stable soil organic matter in global C budgets and Earth system model evaluations. We combined a global dataset with high-resolution field observations to quantify the contribution of litter-derived soil respiration (Rs) using litter-input and litter-removal experiments, and to project its current distribution and future dynamics with machine-learning models. On average, litter-derived Rs accounted for 30.9% of total Rs. Higher contributions were estimated for experiments of shorter duration, highlighting the important role of fast-cycling C alongside soil organic matter turnover. Litter-derived Rs varied substantially among ecosystems (grasslands > croplands > forests > wetlands) but did not differ significantly between tropical and temperate climates. Land surface slope exerted a stronger control than climatic or edaphic factors across both mountain and non-mountain regions, suggesting a pronounced topographic regulation. High-frequency field measurements further confirmed this pattern, with litter-derived Rs at mountain ridges being 1.5 times that in valleys. Global projections indicated a higher litter-derived Rs at low latitudes and greater vulnerability in cold climates under SSP 1-2.6 and SSP 5-8.5 scenarios. These findings demonstrate that litter decomposition is a substantial source of soil CO2 flux that is strongly controlled by terrain. Accounting for this CO2 pathway improves our understanding of how landscape heterogeneity influences terrestrial C cycle and enhances future predictions of ecosystem responses to climate change.
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