Deyong Yu, Wenquan Zhu, Yaozhong Pan
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing 100085, People's Republic of China.
Environ Monit Assess. 2008 Oct;145(1-3):135-43. doi: 10.1007/s10661-007-0023-6. Epub 2007 Nov 30.
In many East Asia regions, spring (from March to May) precipitation is an important restricting factor to vegetation growth, and atmospheric circulation system may influence spring precipitation patter. It is helpful to under the response of ecosystem to climate change by studying the influence of atmospheric circulation system on the coupling relationship between spring net primary productivity and precipitation. Driving CASA (Carnegie-Ames-Stanford Approach) NPP (Net Primary Productivity) model, we estimated spring NPP for East Asia area (70 degrees E-1 70 degrees E, 10 degrees N-70 degrees N) from 1982 to 1999, and by the method of singular value decomposition we further analyzed the coupling features of spring NPP with precipitation. The result showed that the response features of NPP to precipitation were mainly embodied within the leading six NPP-precipitation paired-modes. The interpretation rates of the leading six paired-modes to the covariance of NPP-precipitation were 42.91, 23.29, 9.96, 5.60, 5.04 and 3.95%, respectively, and total to 90.75%. The temporal correlation coefficients of the leading six paired-modes were 0.830, 0.889, 0.841, 0.747, 0.912 and 0.923, respectively, and all the correlations were significant at significant level of 0.001. In some high latitude regions, there was no obviously corresponding relationship between NPP and precipitation in the leading two paired-modes, and the reason of it may be that spring temperature was the main restricting factor to NPP. In middle and low latitude regions, the effect of precipitation on NPP was relatively more notable. Nine atmospheric circulation factors in spring affected the patterns of NPP and precipitation greatly, and the regions with interpretation rate over 50% shared 60.41 and 65.58% of the whole study area, respectively.
在许多东亚地区，春季（3月至5月）降水是植被生长的重要限制因素，大气环流系统可能影响春季降水格局。通过研究大气环流系统对春季净初级生产力与降水耦合关系的影响，有助于了解生态系统对气候变化的响应。驱动CASA（卡内基-埃姆斯-斯坦福方法）净初级生产力模型，我们估算了1982年至1999年东亚地区（东经70度至170度，北纬10度至70度）的春季净初级生产力，并通过奇异值分解方法进一步分析了春季净初级生产力与降水的耦合特征。结果表明，净初级生产力对降水的响应特征主要体现在前六个净初级生产力-降水配对模态中。前六个配对模态对净初级生产力-降水协方差的解释率分别为42.91%、23.29%、9.96%、5.60%、5.04%和3.95%，总计90.75%。前六个配对模态的时间相关系数分别为0.830、0.889、0.841、0.747、0.912和0.923，所有相关性在0.001显著水平上均显著。在一些高纬度地区，前两个配对模态中净初级生产力与降水之间没有明显的对应关系，其原因可能是春季温度是净初级生产力的主要限制因素。在中低纬度地区，降水对净初级生产力的影响相对更显著。春季的九个大气环流因子对净初级生产力和降水格局影响较大，解释率超过50%的区域分别占整个研究区域的60.41%和65.58%。
