A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season | |
Fu Y(傅洋); Zheng ZY(郑泽宇); Xiao R(肖睿); Shi HB(史海波) | |
刊名 | PLOS One
![]() |
2016 | |
卷号 | 11期号:11页码:1-13 |
ISSN号 | 1932-6203 |
产权排序 | 1 |
英文摘要 | Vegetation phenology regulates many ecosystem processes and is an indicator of the biological responses to climate change. It is important to model the timing of leaf senescence accurately, since the canopy duration and carbon assimilation are strongly determined by the timings of leaf senescence. However, the existing phenology models are unlikely to accurately predict the end of the growing season (EGS) on large scales, resulting in the misrepresentation of the seasonality and interannual variability of biosphere±atmosphere feedbacks and interactions in coupled global climate models. In this paper, we presented a novel large-scale temperature dominated model integrated with the physiological adaptation of plants to the local temperature to assess the spatial pattern and interannual variability of the EGS. Our model was validated in all temperate vegetation types over the Northern Hemisphere. The results indicated that our model showed better performance in representing the spatial and interannual variability of leaf senescence, compared with the original phenology model in the Integrated Biosphere Simulator (IBIS). Our model explained approximately 63% of the EGS variations, whereas the original model explained much lower variations (coefficient of determination R2 = 0.01±0.18). In addition, the differences between the EGS reproduced by our model and the MODIS EGS at 71.3% of the pixels were within 10 days. For the original model, it is only 26.1%. We also found that the temperature threshold (TcritTm) of grassland was lower than that of woody species in the same latitudinal zone. |
WOS关键词 | GROSS PRIMARY PRODUCTION ; LAND-SURFACE PHENOLOGY ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; CARBON BALANCE ; WATER-BALANCE ; FOREST ; COVER ; MODIS ; ECOSYSTEMS |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000389472400110 |
资助机构 | Program for Talent Program of the Chinese Academy of Sciences (Y5AA100A01). |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/19461] ![]() |
专题 | 沈阳自动化研究所_数字工厂研究室 |
通讯作者 | Zheng ZY(郑泽宇) |
作者单位 | 1.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, PR China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, PR China 3.Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America |
推荐引用方式 GB/T 7714 | Fu Y,Zheng ZY,Xiao R,et al. A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season[J]. PLOS One,2016,11(11):1-13. |
APA | Fu Y,Zheng ZY,Xiao R,&Shi HB.(2016).A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season.PLOS One,11(11),1-13. |
MLA | Fu Y,et al."A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season".PLOS One 11.11(2016):1-13. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论