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2016 首页» 杨凌国际农业科技论坛» 论文摘要» 2016

  Qiuan Zhu1,2, Changhui Peng2,1, Jinxun Liu3, Hong Jiang4

  1. Laboratory for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, China; 2. Centre CEF/ESCER, University of Quebec at Montreal, QC, Canada; 3. Western Geographic Science Center, U.S. Geological Survey, Menlo Park, CA 94025, USA; 4. International Institute for Earth System Science, Nanjing University, Hankou Road 22, Nanjing 210093, China

  The fluctuations of atmospheric methane (CH4) in recent decades are not fully understood, particularly regarding contributions by wetlands. A newly developed process-based model integrated with full descriptions of methanogenesis (TRIPLEX-GHG) was applied to simulate global wetland CH4 emissions and to estimate spatiotemporal patterns of global wetland CH4 emissions and identify the contribution of wetland emissions to atmospheric CH4 fluctuations. The simulation results showed that: Global annual wetland CH4 emissions ranged from 155 Tg C yr-1 to 185 Tg C yr-1 between 1901 and 2012, with peaks occurring in 1991 and 2012. There is a decreasing trend between 1990 and 2010 with a rate of approximately 0.36 Tg C yr-1, which was largely caused by tropical wetlands emissions that have a decreasing trend of 0.33 Tg C yr-1 since the 1970s. Tropical wetlands are the primary contributors to the inter-annual variability of global wetland CH4 emissions and atmospheric CH4. The stable-to-decreasing trend in wetland CH4 emissions, which resulted from a balance of emissions from tropical and extratropical wetlands, was a factor particularly for the slow-down in the atmospheric CH4 growth rate during the 1990s. Model simulations also showed that CH4 emissions from tropical wetlands respond strongly to repeated ENSO events, with negative anomalies occurring during El Niño years and positive anomalies during La Niña years.

Estimating global natural wetland methane emissions under climate change using process modelling: spatiotemporal patterns and contributions
发布时间:2016-12-18 来源:


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