Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets
文献类型：期刊论文
| 作者 | Anderson, Christopher; Zhang, Bowen; Tian, Hanqin; Lu, Chaoqun; Chen, Guangsheng; Pan, Shufen; Poulter, Benjamin |
| 刊名 | ATMOSPHERIC ENVIRONMENT
 |
| 出版日期 | 2017-09-01 |
| 卷号 | 165期号:0页码:310-321 |
| 关键词 | Wetland Methane Uncertainty Wetland Data Set Tropics |
| 英文摘要 | A wide range of estimates on global wetland methane (CH4) fluxes has been reported during the recent two decades. This gives rise to urgent needs to clarify and identify the uncertainty sources, and conclude a reconciled estimate for global CH4 fluxes from wetlands. Most estimates by using bottom-up approach rely on wetland data sets, but these data sets show largely inconsistent in terms of both wetland extent and spatiotemporal. distribution. A quantitative assessment of uncertainties associated with these discrepancies among wetland data sets has not been well investigated yet. By comparing the five widely used global wetland data sets (GISS, GLWD, Kaplan, GIEMS and SWAMPS-GLWD), it this study, we found large differences in the wetland extent, ranging from 5.3 to 10.2 million km(2), as well as their spatial and temporal distributions among the five data sets. These discrepancies in wetland data sets resulted in large bias in model-estimated global wetland CH4 emissions as simulated by using the Dynamic Land Ecosystem Model (DLEM). The model simulations indicated that the mean global wetland CH4 emissions during 2000-2007 were 177.2 +/- 49.7 Tg CH4 yr(-1), based on the five different data sets. The tropical regions contributed the largest portion of estimated CH4 emissions from global wetlands, but also had the largest discrepancy. Among six continents, the largest uncertainty was found in South America. Thus, the improved estimates of wetland extent and CH4 emissions in the tropical regions and South America would be a critical step toward an accurate estimate of global CH4 emissions. This uncertainty analysis also reveals an important need for our scientific community to generate a global scale wetland data set with higher spatial resolution and shorter time interval, by integrating multiple sources of field and satellite data with modeling approaches, for cross-scale extrapolation. (C) 2017 Elsevier Ltd. All rights reserved. |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/39054]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Anderson, Christopher,Zhang, Bowen,Tian, Hanqin,et al. Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets[J]. ATMOSPHERIC ENVIRONMENT,2017,165(0):310-321. |
| APA | Anderson, Christopher.,Zhang, Bowen.,Tian, Hanqin.,Lu, Chaoqun.,Chen, Guangsheng.,...&Poulter, Benjamin.(2017).Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets.ATMOSPHERIC ENVIRONMENT,165(0),310-321. |
| MLA | Anderson, Christopher,et al."Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets".ATMOSPHERIC ENVIRONMENT 165.0(2017):310-321. |
入库方式： OAI收割
来源：生态环境研究中心
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