Multi-decadal trends in global terrestrial evapotranspiration and its components
文献类型：SCI/SSCI论文
| 作者 | Zhang Y. Q.; Pena-Arancibia, J. L.; Mcvicar, T. R.; Chiew, F. H. S.; Vaze, J.; Liu, C. M.; Lu, X. J.; Zheng, H. X.; Wang, Y. P.; Liu, Y. Y. |
| 发表日期 | 2016 |
| 关键词 | amazonian rain-forest leaf-area index central kalimantan interception loss soil evaporation eddy covariance winter-wheat water-budget data sets sap-flow |
| 英文摘要 | Evapotranspiration (ET) is the process by which liquid water becomes water vapor and energetically this accounts for much of incoming solar radiation. If this ET did not occur temperatures would be higher, so understanding ET trends is crucial to predict future temperatures. Recent studies have reported prolonged declines in ET in recent decades, although these declines may relate to climate variability. Here, we used a well-validated diagnostic model to estimate daily ET during 1981-2012, and its three components: transpiration from vegetation (Et), direct evaporation from the soil (E-s) and vaporization of intercepted rainfall from vegetation (E-i). During this period, ET over land has increased significantly (p < 0.01), caused by increases in E-t and E-i, which are partially counteracted by E-s decreasing. These contrasting trends are primarily driven by increases in vegetation leaf area index, dominated by greening. The overall increase in E-t over land is about twofold of the decrease in E-s. These opposing trends are not simulated by most Coupled Model Intercomparison Project phase 5 (CMIP5) models, and highlight the importance of realistically representing vegetation changes in earth system models for predicting future changes in the energy and water cycle. |
| 出处 | Scientific Reports |
| 卷 | 6 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 2045-2322 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43358]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zhang Y. Q.,Pena-Arancibia, J. L.,Mcvicar, T. R.,et al. Multi-decadal trends in global terrestrial evapotranspiration and its components. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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