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
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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
Liang, Eryuan
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Kong, Gaoqiang;Luo, Tianxiang;Liu, Xinsheng;Zhang, Lin;Liang, Eryuan

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目前还不清楚是否年轮宽度(ARW)是很好的预测净初级生产力(NPP)的树木或灌木在寒冷的环境中的变化。我们测试,如果模拟的NPP与观测到的叶片氮浓度(Nmass)和碳同位素比值(δ 13 C)的输入解释海拔变化的ARW,相对生长速率(RGR),最大光合速率(Pmax)在一个广泛的木本植物在潮湿的林线交错带。测定了植株水平的ARW和RGR以及相关的叶片性状(Pmax、Nmass、δ 13 C等)。高山杜鹃(R.aganniphum var.在西藏东南部的色尔吉姆拉山脉,有10个海拔高度(4,190 - 4,500米)。基于林芝3,000 m站的气候数据,10个海拔高度的非年龄相关ARW年表(1960-2008)与6月平均气温呈正相关,但与降水和其他月平均气温相关性不大。随着海拔的升高,Nmass和Pmax降低,δ 13 C升高,导致观测的RGR和模拟的NPP降低。当年和近50年平均的ARW与观测的RGR和Pmax以及模拟的NPP有很好的相关性。6月平均温度解释了观测的RGR和ARW以及模拟的NPP的62%的海拔变化。在湿润高海拔地区,由于生长季初期的低温是限制ARW和NPP的主要因素,因此ARW可以作为高山灌木NPP变化的预测因子。这项研究提出了一种方法,检测高山木本植物对不同气候条件的敏感性。
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.
DOI: 10.1007/978-3-642-67107-4
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