Annual ring widths are good predictors of changes in net primary productivity of alpine Rhododendron shrubs in the Sergyemla Mountains, southeast Tibet
Annual ring widths are good predictors of changes in net primary productivity of alpine Rhododendron shrubs in the Sergyemla Mountains, southeast Tibet
复制标题
年轮宽度是西藏东南部色吉拉山高山杜鹃灌木净初级生产力变化的良好预测因子
DOI:
10.1007/s11258-012-0140-3
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发表时间:
2012-11
期刊:
影响因子:
1.7
通讯作者:
Liang, Eryuan
中科院分区:
文献类型:
--
作者:
Kong, Gaoqiang;Luo, Tianxiang;Liu, Xinsheng;Zhang, Lin;Liang, Eryuan
It is unclear whether annual ring widths (ARW) are good predictors of changes in net primary productivity (NPP) of trees or shrubs in cold environments. We test if the simulated NPP with inputs of observed leaf nitrogen concentration (Nmass) and carbon isotope ratio (δ13C) explains altitudinal variations of ARW, relative growth rate (RGR), and maximum photosynthetic rate (Pmax) within a widespread woody species at moist timberline ecotones. We measured plant-level ARW and RGR, and related leaf traits (Pmax, Nmass, δ13C etc.) for an alpine Rhododendron shrub (R.aganniphum var. schizopeplum) across ten altitudes (4,190–4,500 m) in the Sergyemla Mountains, southeast Tibet. Based on climate data available from Nyingchi station at 3,000 m, non-age-related ARW chronologies (1960–2008) for each of ten altitudes were positively correlated with June mean temperature, but related little with precipitation and other monthly mean temperatures. With increasing altitude, Nmass and Pmax decreased and δ13C increased, resulting in decreases of observed RGR and simulated NPP. Current-year and recent 50-year-averaged ARWs were well correlated with observed RGR and Pmax and simulated NPP. June mean temperature explained >62 % of the altitudinal variations in observed RGR and ARW as well as simulated NPP. At moist high altitudes, ARWs can be used as predictors of changes in NPP of alpine shrubs because the low temperature in the early growing season is the primary factor limiting both ARW and NPP. This study suggests a methodology detecting the sensitivity of alpine woody species to varying climatic conditions.
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影响因子:
2.8
作者:
Prof. Dr. Walter Tranquillini
通讯作者:
Prof. Dr. Walter Tranquillini
影响因子:
11.6
作者:
M. Wilmking;G. Juday;V. Barber;Harold S. J. Zald
通讯作者:
M. Wilmking;G. Juday;V. Barber;Harold S. J. Zald
影响因子:
10.1
作者:
R. Alscher;H. Mooney;W. Winner;E. Pell
通讯作者:
R. Alscher;H. Mooney;W. Winner;E. Pell
DOI:
10.1080/15230430.2002.12003514
发表时间:
2002-11
期刊:
Arctic, Antarctic, and Alpine Research
影响因子:
--
作者:
M. Weih;P. Staffan Karlsson
通讯作者:
M. Weih;P. Staffan Karlsson
影响因子:
1.5
作者:
B. Slavík
通讯作者:
B. Slavík