CORC  > 北京大学  > 城市与环境学院
Critical climate periods for grassland productivity on China's Loess Plateau
Guo, Liang ; Cheng, Jimin ; Luedeling, Eike ; Koerner, Sally E. ; He, Jin-Sheng ; Xu, Jianchu ; Gang, Chengcheng ; Li, Wei ; Luo, Ruimin ; Peng, Changhui
刊名AGRICULTURAL AND FOREST METEOROLOGY
2017
关键词Aboveground net primary productivity (ANPP) Partial least squares regression (PLS) Precipitation Temperate grassland Temperature Timing of climate variability NET PRIMARY PRODUCTIVITY PRECIPITATION VARIABILITY ABOVEGROUND PRODUCTIVITY SEASONAL PRECIPITATION INTERANNUAL VARIATION RAINFALL VARIABILITY TEMPERATE GRASSLAND TEMPORAL VARIATION MESIC GRASSLAND NORTH-AMERICAN
DOI10.1016/j.agrformet.2016.11.006
英文摘要Strong correlations between aboveground net primary productivity (ANPP) of grasslands and mean annual temperature or precipitation have been widely reported across regional or continental scales; however, inter-annual variation in these climate factors correlates poorly with site-specific ANPP. We hypothesize that the reason for these weak correlations is that the impacts of climatic variation on grassland productivity depend on the timing and intensity of variation in temperature and precipitation. In this study, long-term records of grassland productivity on the Loess Plateau in China were related with daily temperature and precipitation during 1992-2011 using Partial Least Squares (PLS) regression to test the above-mentioned hypothesis. Our results suggested that temperature increases during the early stage of the growing season (April-May) were positively correlated with ANPP. However, these effects were canceled out when this phase was followed by a hot and dry summer (June-July). Impacts of drought and heat in August on productivity were negligible. Increased temperature and precipitation during the senescence period (September-October) and a warmer dormancy phase (November-March) were negatively correlated with productivity in the following year, while precipitatibn during the dormancy period had no detectable effects. Climatic variability in summer has thus far been the dominant driver of temporal variation in grassland productivity. Warming during winter and spring currently play minor roles, but it seems likely that the importance of these secondary impacts may increase as warming trends continue. This evaluation of climate variability impacts on ecosystem function (e.g. grassland productivity) implies that not only the magnitude but also the timing of changes in temperature and precipitation determines how the impacts of climate changes on ecosystems will unfold. (C) 2016 Elsevier B.V. All rights reserved.; China Postdoctoral Science Foundation [2016M590974]; West Light Foundation of the Chinese Academy of Sciences [K318021507]; National Key Research Program of China [2016YFC0500700]; Northwest AF University [Z109021502, Z109021609]; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA05050202]; Modern Agro-industry Technology Research System [CARS-35-40]; Key Cultivation Project of Chinese Academy of Sciences; Consultative Group on International Agricultural Research (CGIAR) Program on "Water, Land and Ecosystems" (WLE); SCI(E); ARTICLE; 101-109; 233
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/475133]  
专题城市与环境学院
推荐引用方式
GB/T 7714
Guo, Liang,Cheng, Jimin,Luedeling, Eike,et al. Critical climate periods for grassland productivity on China's Loess Plateau[J]. AGRICULTURAL AND FOREST METEOROLOGY,2017.
APA Guo, Liang.,Cheng, Jimin.,Luedeling, Eike.,Koerner, Sally E..,He, Jin-Sheng.,...&Peng, Changhui.(2017).Critical climate periods for grassland productivity on China's Loess Plateau.AGRICULTURAL AND FOREST METEOROLOGY.
MLA Guo, Liang,et al."Critical climate periods for grassland productivity on China's Loess Plateau".AGRICULTURAL AND FOREST METEOROLOGY (2017).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace