首页|利用改进的CASA模型分析三江源区净植被生产力

利用改进的CASA模型分析三江源区净植被生产力

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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62.93 Tg·a-1,2005年NPP总量最小为60.9 Tg·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188.95 g·m-2·a-1;高寒草原为129.41 g·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.
Analysis of terrestrial net primary productivity by improved CASA model in Three-river headwaters region
An improved CASA(Carnegie ames stanford approach) model is used to estimate the terrestrial net primary productivity (NPP) in Three-river headwaters region.Results indicate that the NPP decreased from the southeast 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 minimum of 60.9 Tg· a-1 in 2008.Seasonal variation of NPP is also prominent,which started to increase from May to July,then decreased gradually.The annual NPP of alpine meadow is 188.95 g· 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 related with temperature,with correlation coefficient being 0.8,while the correlation coefficient between NPP and precipitation is 0.7.

improved CASA modelnet primary productivityThree-river headwaters region

蔡雨恋、郑有飞、王云龙、吴荣军

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南京信息工程大学环境科学与工程学院,南京,210044

南京博环环保有限公司,南京,210037

改进CASA模型 净初级生产力 三江源

中国气象局干旱气象科学研究基金中国气象局小型基建项目青海省气象局科研基金

IAM2011012009-Q-01

2013

南京信息工程大学学报
南京信息工程大学

南京信息工程大学学报

CSTPCD
影响因子:0.737
ISSN:1674-7070
年,卷(期):2013.5(1)
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