自然资源学报

自然资源学报 ›› 2015, Vol. 30 ›› Issue (10): 1628-1641.doi: 10.11849/zrzyxb.2015.10.003

• 资源生态 • 上一篇    下一篇

武陵山区植被净初级生产力遥感模拟与分析

孙庆龄1, 2, 冯险峰1, *, 刘梦晓1, 2, 肖潇1, 2   

  1. 1. 中国科学院 地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101;
    2. 中国科学院大学,北京 100049
  • 收稿日期:2014-07-14 修回日期:2014-10-17 出版日期:2015-10-15 发布日期:2015-10-15
  • 通讯作者: *通信作者简介：冯险峰（1971- ）,女,博士,副研究员,研究方向为生态遥感与制图。E-mail: fengxf@lreis.ac.cn
  • 作者简介:孙庆龄（1991- ）,女,安徽阜阳人,博士研究生,研究方向为生态遥感。E-mail: fuqiao_sun@163.com
  • 基金资助:
    国家“973”基础研究项目（2010CB950701）; 国家科技支撑计划项目（2012BAH33B00）

Estimation and Analysis of Net Primary Productivity in Wuling Mountainous Area Based on Remote Sensing

SUN Qing-ling1, 2, FENG Xian-feng1, LIU Meng-xiao1, 2, XIAO Xiao1, 2   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2014-07-14 Revised:2014-10-17 Online:2015-10-15 Published:2015-10-15

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摘要： 论文利用碳水耦合的BEPS遥感过程模型对2010年武陵山区植被NPP进行模拟估算,并利用森林样点实测数据、各县粮食产量统计资料、MODIS NPP产品和已发表文献中各植被类型的NPP模拟值与实测值进行验证。在分析了NPP空间分布格局及其年内变化趋势的基础上,文中还重点分析了NPP与高程、坡度和坡向等主要地形因子间的关系。结果表明：① 2010年武陵山区植被NPP平均值为555.17 g C/(m2·a),年总NPP为92.96 Tg C,与MODIS NPP产品相比,论文模拟的NPP高低值分布更加合理,而且包含了更多地形信息;② 月NPP随季节而变化,2010年研究区所有植被类型的NPP季节变化均呈双峰形态,其中灌丛和常绿阔叶林的季节变化幅度最大,农作物的变化幅度最小;③ NPP随高程增加有着明显的先增后减的变化趋势,NPP随坡度增加则呈现出先增后减然后再上升的规律,而在所有坡向中,南坡的平均NPP最高,北坡的NPP最低。

Abstract: Using the Ecosystem Productivity Simulator (BEPS) model which combines remote sensing and ecosystem process simulations to quantify the terrestrial carbon and water cycle, we estimated the NPP of Wuling mountainous area in 2010. Based on the survey data of forest, statistical data of grain yield, MODIS NPP data, and the published estimated NPP and surveyed NPP data of each vegetation type, we validated the results of NPP simulation. After exploring the spatial pattern and monthly variation trends of NPP in 2010, the relations between annual NPP and primary terrain factors including altitude, slope and aspect were analyzed specifically. Results showed that: 1) The mean value of annual NPP over the whole study area in 2010 was 555.17 g C/(m2·a), and the total annual NPP was 92.96 Tg C. Compared with that of MODIS NPP, the spatial pattern of simulated NPP was more reasonable, and it reflected more accurate topographical information. 2) Monthly NPP changed with seasons. The monthly NPPs of different vegetation types within our study area in 2010 all displayed bimodal distributions. Among them, the NPPs of shrub and evergreen broadleaf forest had the largest amplitude of variation in the year, while the NPP of crop had the smallest amplitude of variation. 3) With the altitude increasing, NPP increased first and then decreased quickly. As to the slope, NPP increased with the slope when it is gentle, and then decreased slowly when the slope getting steeper, but when the slope is greater than a certain value, NPP began to increase again. Additionally, among all the aspects of the slope, the mean NPP on the south slope was the highest, while that on the north slope was the lowest.

中图分类号: 

  • Q948