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出 处:《植物研究》2013年第2期225-231,共7页Bulletin of Botanical Research
基 金:林业公益性行业科研专项经费项目(201304309)
摘 要:基于1999~2009年的NDVI数据和气象数据,利用CASA模型对秦岭山地植被净初级生产力(Net primaryproductivity,NPP)进行模拟估算,并分析了秦岭NPP的时空变化特征及其对气候变化的响应。结果表明:1999~2009年11年间秦岭山地的平均年NPP为542.24 gC.m-2.a-1;研究期内秦岭NPP呈显著增长趋势(P<0.01),2008年最高(718.77 gC.m-2.a-1),2001年最低(471.78 gC.m-2.a-1);四季对全年NPP的贡献率大小依次为夏季(49.90%)>春季(26.16%)>秋季(18.87%)>冬季(5.07%);月NPP与温度和降水都显著相关,但与温度的相关性更高,月水平上温度对NPP的影响比降水大;生长季期间NPP与温度和降水的相关性在空间分布上都以正相关为主。Based on the NDVI data and meteorological data from 1999 to 2009, the vegetation net primary productivity (NPP) in Qinling mountains was estimated using CASA model , and the characteristics of spatial and temporal variation of NPP and the response to climate change in Qinling results showed that: ll-year average annual NPP was 542.24 gC . m-2 . a-1 ; remarkably increased (P 〈0.01 ) during the studied period, and the maximum of mountains were analyzed. The NPP in Qinling mountains was NPP (718.77 gC . m-2 .a-1) was in 2008, the minimum (471.78 gC .m-2. a-1 ) was in 2001 ; the size of contribution rate of four seasons for annual NPP followed by summer (49.90%) 〉 spring (26.16%) 〉 autumn ( 18.87% ) 〉 winter (5.07%) ; there was a significant correlation of monthly NPP with temperature and precipitation, and the correlation with temperature was higher than that with precipitation, the influence of temperature on NPP was larger than precipitation on NPP in the month level; the correlation of NPP with temperature and precipitation was mainly characterized by positive value in spatial distribution during growing season.
分 类 号:S162.1[农业科学—农业气象学]
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