| 干旱区内陆流域净初级生产力时空分异模拟及自然因素分析——以泾河流域为例 |
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| 引用本文： | 卞鸿雁,庞奖励,任志远,文雯.干旱区内陆流域净初级生产力时空分异模拟及自然因素分析——以泾河流域为例[J].资源科学,2012,34(9):1790-1797. |
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| 作者姓名： | 卞鸿雁 庞奖励 任志远 文雯 |
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| 作者单位： | 1. 陕西师范大学旅游与环境学院,西安,710062
2. 陕西省城乡规划设计研究院,西安,710032 |
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| 基金项目： | 教育部人文社会科学重点研究基地2009年度重大研究项目:“黄土高原南部土地资源演变过程中的人文自然因素研究”(编号:2009JJD770025);国家自然科学重点基金项目(编号:41030637);国家社会科学基金重点项目(编号:11AZS009)。 |
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| 摘 要： | 生物固碳是土壤-植被-大气-人类活动共同作用下的复杂生态过程，净初级生产力（NPP）是地球系统各圈层相互作用的产物。本文针对干旱区内陆流域的自然环境特征，利用光能利用率模型（CASA）对泾河流域1998年-2010年净初级生产力（NPP）进行时空分异模拟，分析其与土壤、气候、植被、地貌因素的耦合关系，深入理解NPP响应机理。结果表明，1998年-2010年间，泾河流域NPP总量浮动于（3．53—4．55）Tg．C／a之间，单位面积NPP产量约为136．77g．C／（m2·a），低于全国平均水平；NPP季节特征明显，春、夏、秋、冬的NPP产量分别占NPP年总量的22．91％、55．85％、19．99％、1．25％；流域NPP空间格局主要受自然因素控制，分析NPP与18个自然因子的相关性知，NPP与植被生理生态特征及气候因素的相关性最强，其中与NDVI、叶面积指数的相关性系数达0．53、0．78，与风速、温度、太阳辐射相关性分别为0．61、O．61、0．43；地形和土壤因素并非NPP响应的主导因素，但对植被有机物质的合成至关重要。
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| 关 键 词： | 净初级生产力(NPP) CASA 自然驱动因素 泾河流域 |
Estimation of Vegetation Net Primary Productivity in the Jinghe Basin |
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| BIAN Hongyan,PANG Jiangli,REN Zhiyuan and WEN Wen.Estimation of Vegetation Net Primary Productivity in the Jinghe Basin[J].Resources Science,2012,34(9):1790-1797. |
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| Authors: | BIAN Hongyan PANG Jiangli REN Zhiyuan and WEN Wen |
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| Institution: | College of Tourism and Environment Science, Shaanxi Normal University, Xi'an 710062, China;College of Tourism and Environment Science, Shaanxi Normal University, Xi'an 710062, China;College of Tourism and Environment Science, Shaanxi Normal University, Xi'an 710062, China;Urban and Rural Planning and Design Institute of Shaanxi Province, Xi'an 710032, China |
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| Abstract: | Net primary productivity (NPP) of terrestrial ecosystems is the material basis for human activity. The process of carbon fixation is an interaction between the biosphere, pedosphere, atmosphere and anthroposphere. Based on SPOT/VEGETATION data, land use/cover change, meteorology and soils this paper applies the Carnegie Ames Stanford Approach (CASA) to simulate yearly and seasonal variation in NPP for the Jinghe Basin from 1998 to 2010. The estimated NPP was validated using observed NPP and previous research. Our results show that the estimated annual average NPP for the Jinghe Basin was 3.53~4.55Tg.C/a. NPP accumulation for summer was 2.25Tg.C, 55.85% of the yearly total; NPP in spring was 0.92Tg.C; NPP in autumn was 0.80Tg.C; and NPP in winter was 0.05Tg.C. The spatial distribution of net primary production declined from the southeast to northwest. Among the 23 sub-watersheds of the basin, the trunk stream of Jinghe NPP was highest (0.64Tg.C) and Jinghong stream was lowest(0.03Tg.C). Simulate results compared to observed values and previous research showed that the measured NPP is less than the national average. This result is reasonable considering the natural conditions of the Jinghe Basin and its arid environment. The spatial pattern of NPP in the Jinghe Basin was controlled by natural environment and humanistic factors. Natural factors were the dominant factors influencing the distribution of NPP. Among the influencing factors, climate and physiological features are the leading factors affecting NPP in the arid ecosystem. For example, the correlation coefficient of NPP and NDVI was 0.53; the correlation coefficient of NPP and leaf area index was 0.78; and the correlation coefficient of NPP and wind speed was 0.78. Our data does not completely accord with the actual situation interpolated from limited meteorological stations and soil profiles and data precision should be improved in future studies. |
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| Keywords: | Net primary productivity (NPP) Model of CASA Natural driving factors Jinghe Basin |
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