Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data
Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data
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DOI：
10.1631/jzus.b0910501
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发表时间：
2010-04
期刊：
影响因子：
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通讯作者：
Dai-liang Peng;Jingfeng Huang;A. Huete;Tai-ming Yang;P. Gao;Yan-chun Chen;Hui Chen;Jun Li
中科院分区：
文献类型：
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作者：
Dai-liang Peng;Jingfeng Huang;A. Huete;Tai-ming Yang;P. Gao;Yan-chun Chen;Hui Chen;Jun Li
我们开发了一种复杂的方法来描述净初级生产力（NPP）和气候变量的空间和季节特征。气候变率在NPP季节变化中的作用表现为延迟效应和连续效应。本研究扩展了这一点，从空间利用地理信息系统（GIS）技术在像素级映射的NPP和气候变量的季节性特征。我们的方法是在中国东南部使用中分辨率成像光谱仪（MODIS）数据。结果表明，气温、降水量和日照百分率对NPP的季节变化有显著影响。在研究区北方，NPP的季节变化与气候存在32 d的显著正相关（P<0.01），气候变化对NPP的影响持续48 d或64 d。在中国东南部中部地区，NPP与气温、降水和日照百分率的相关性分别为16、48和96 d（P<0.01），气温和降水对NPP的影响持续48 d或64 d，而日照对NPP的影响仅持续16 d。研究区南部地形复杂，植被分布复杂，植被-气候关系的空间格局复杂多样，尤其是降水对NPP的影响。在研究区的北方，除阔叶作物外，所有植被NPP对气温季节变化的响应几乎相似。降水和日照的季节变化对阔叶和谷类作物NPP的影响与其他植被NPP的影响略有不同。
We developed a sophisticated method to depict the spatial and seasonal characterization of net primary productivity (NPP) and climate variables. The role of climate variability in the seasonal variation of NPP exerts delayed and continuous effects. This study expands on this by mapping the seasonal characterization of NPP and climate variables from space using geographic information system (GIS) technology at the pixel level. Our approach was developed in southeastern China using moderate-resolution imaging spectroradiometer (MODIS) data. The results showed that air temperature, precipitation and sunshine percentage contributed significantly to seasonal variation of NPP. In the northern portion of the study area, a significant positive 32-d lagged correlation was observed between seasonal variation of NPP and climate (P<0.01), and the influences of changing climate on NPP lasted for 48 d or 64 d. In central southeastern China, NPP showed 16-d, 48-d, and 96-d lagged correlation with air temperature, precipitation, and sunshine percentage, respectively (P<0.01); the influences of air temperature and precipitation on NPP lasted for 48 d or 64 d, while sunshine influence on NPP only persisted for 16 d. Due to complex topography and vegetation distribution in the southern part of the study region, the spatial patterns of vegetation-climate relationship became complicated and diversiform, especially for precipitation influences on NPP. In the northern part of the study area, all vegetation NPP had an almost similar response to seasonal variation of air temperature except for broad crops. The impacts of seasonal variation of precipitation and sunshine on broad and cereal crop NPP were slightly different from other vegetation NPP.