Chenjun Du , Xing Wu , Hao Shi , Bojie Fu , Ting Li , Yihe Lü , Lingfan Wan , Shuang Zhang , Binbin Huang , Yibin Shi
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引用次数: 0
Abstract
Understanding the impacts of forest logging on soil greenhouse gas (GHG) emissions is crucial for developing sustainable forest management practices and climate change mitigation strategies. However, the directional patterns, magnitude of change, and mechanistic drivers underlying logging-induced alterations in soil GHG fluxes remain insufficiently characterized. Through a global meta-analysis incorporating 641 paired observations from 163 peer-reviewed studies, we demonstrated that forest logging significantly enhanced soil methane (CH4) and nitrous oxide (N2O) fluxes (mean effect sizes = 1.81 and 0.75, respectively), while exerting no substantial overall influence on carbon dioxide (CO2) flux (mean effect size = −0.09, 95 % CI: −0.44 – 0.25). Biome-specific analysis revealed pronounced spatial heterogeneity, with arctic/boreal ecosystems exhibiting greater responsiveness to logging impacts compared to tropical/subtropical regions. These emission shifts were mechanistically associated with logging-induced modifications in soil thermal regimes, hydrological conditions, and initial carbon-nitrogen content. Notably, soil CH4 and CO2 fluxes changes showed significant relationships with logging intensity (2.75 – 100 % basal area removal; P < 0.05), whereas time since logging (0.1 – 96 years) generally exhibited non-significant correlations with all measured GHG emissions (P > 0.05). Moreover, our meta-regression analysis identified thresholds governing the global-scale responses of GHG emissions to both logging intensity and temporal recovery. These insights advance the mechanistic understanding of disturbance-mediated biogeochemical processes and provide empirical foundations for optimizing silvicultural interventions to achieve climate-adaptive forestry objectives.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.