摘要
利用改进CASA模型计算了三江源地区植被净初级生产力(NPP).NPP值在区域上呈现由东南向西北递减的趋势,黄河源区东南部地区的植被NPP值较高,而长江源西北部的植被生长稀疏;2004—2008年三江源区NPP值呈略下降趋势,2006年该区植被的NPP年总量最大为62.93Tg·a-1,2005年NPP总量最小为60.9Tg·a-1;从季节分布来看,NPP值从5月开始增加,到7月达到最大,随后又逐渐降低.三江源地区草甸植被NPP值最大为188.95g·m-2·a-1;高寒草原为129.41g·m-2·a-1.其中,草原植被受气候年际变化影响相对较大,高寒草原年际变化表现为2004—2006持续上升.NPP的波动主要是由于该地区的温度、年降水量以及年太阳总辐射量等因素的变化造成的.在海拔较高的地区,温度与NPP的呈极显著相关,相关系数为0.8,而降水量与NPP的相关系数为0.7.
An improved CASA（ Carnegie ames stanford approach） model is used to estimate the terrestrial net pri- mary productivity （NPP） in Three-river headwaters region. Results indicate that the NPP decreased from the south- east to the northwest,while the NPP in southestern area of Yellow River is higher than that of the Yangtze River. NPP shows a slightly downward trend during 2004--2008, with the maximum of 62.93 Tg·a-1 in 2006, and mini- mum of 60. 9 Tg·a-1 in 2008. Seasonal variation of NPP is also prominent, which started to increase from May to Ju- ly, then decreased gradually. The annual NPP of alpine meadow is 188.95g·m-2·a-1, higher than that of aloine steppe of 129.41 g·m-2·a-1 in the region, while interannual variation of aloine steppe is increasing during 2004-- 2006. The analysis shows that temperature is the key factor controlling the terrestrial NPP in the region, followed by precipitation and total solar radiation. The NPP fluctuation in the higher elevations of this region is significantly re- lated with temperature, with correlation coefficient being 0. 8, while the correlation coefficient between NPP and pre- cipitation is 0.7.
出处
《南京信息工程大学学报（自然科学版）》
CAS
2013年第1期34-42,共9页
Journal of Nanjing University of Information Science & Technology（Natural Science Edition）
基金
中国气象局干旱气象科学研究基金(IAM201101)
中国气象局小型基建项目"农业干旱监测预报与农情分析业务系统建设"
青海省气象局科研基金(2009-Q-01)
关键词
改进CASA模型
净初级生产力
三江源
improved CASA model
net primary productivity
Three-river headwaters region
作者简介
蔡雨恋，女，硕士生．xyyxyy@163．com
郑有飞（通信作者），男，教授，博士生导师，主要从事大气物理与大气环境的相关研究工作．zhengyf@nuist．edu．cn．
