草地学报

草地学报 ›› 2017, Vol. 25 ›› Issue (3): 474-485.DOI: 10.11733/j.issn.1007-0435.2017.03.005

• 研究论文 • 上一篇    下一篇

中国潜在自然植被NPP时空分布格局变化及其对气候和地形的响应

任正超1,2, 朱华忠3, 史华4, 柳小妮1   

  1. 1. 甘肃农业大学草业学院, 甘肃 兰州 730070;
    2. (甘肃农业大学)草业生态系统教育部重点实验室, 甘肃 兰州 730070;
    3. 中国科学院地理科学与资源研究所, 北京 100101;
    4. 美国地质调查局地球资源观测与科学研究中心, 苏福尔斯 57198
  • 收稿日期:2016-09-29 修回日期:2017-04-06 出版日期:2017-06-15 发布日期:2017-08-29
  • 通讯作者: 柳小妮
  • 作者简介:任正超(1983-),男,四川渠县人,硕士,讲师,主要从事草地类型划分及草地碳循环研究,E-mail:renzhengchao2008@163.com
  • 基金资助:

    国家自然科学基金项目（30960264，31160475）；甘肃省科技计划项目（1107RJYA058）；甘肃农业大学盛彤笙科技创新基金（GSAU-STS-1304，GSAU-STS-1505）资助

Spatiotemporal-Distribution Pattern Variation of Net Primary Productivity in Potential Natural Vegetation and Its Response to Climate and Topography in China

REN Zheng-chao1,2, ZHU Hua-zhong3, SHI Hua4, LIU Xiao-ni1   

  1. 1. College of Pratacultural Science, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China;
    2. Key Laboratory of Grassland Ecology System(Gansu Agricultural University), Ministry of Education, Lanzhou, Gansu Province 730070, China;
    3. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China;
    4. Earth Resources Observation and Science(EROS) Center, ASRC Federal InuTeq, Contractor to the U. S. Geological Survey(USGS), Sioux Falls 57198, USA
  • Received:2016-09-29 Revised:2017-04-06 Online:2017-06-15 Published:2017-08-29

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摘要：

综合顺序分类系统（Comprehensive and Sequential Classification System，CSCS）作为一种开放式、能划分全世界潜在自然植被类型的分类系统，对全球自然植被的宏观认知和自然植被资源的适度利用与科学管理有着重要的指导意义。研究基于CSCS理论，利用中国1982-2012年的气象数据（温度和降水量）和MODIS（Moderate-resolution Imaging Spectroradiometer）NDVI（Normalized Difference Vegetation Index）数据以及改进型CASA（Carnegie Ames Stanford Approach）模型模拟中国潜在自然植被NPP及其时空分布格局，并分析其对气候和地形的响应模式。研究结果表明：31年来中国潜在自然植被NPP总体上随着时间的推移呈现递增趋势，其在空间上的分布格局体现了明显的异质性，各CSCS类及类组的NPP差异较大；中国潜在自然植被NPP基本与温度、降水量和太阳辐射的时空变化保持一致，且随着高程、坡度和坡向的增加呈现出增加、降低和增加的趋势；各CSCS类型的NPP总体上体现了自然植被所需水热条件的水平和垂直地带性分布规律，与CSCS分类检索图保持一致性。研究结果对CSCS和全球变化的交叉研究具有一定的促进作用。

关键词: 潜在自然植被, NPP, 时空变化, 气候, 地形, 综合顺序分类系统

Abstract:

As one system possessing the ability to classify global potential natural vegetation types, Comprehensive and Sequential Classification System (CSCS) has important guiding significance in development and management of animal husbandry and macroscopical cognition of pastoral agriculture. In this study, we tried to simulate Net Primary Productivity (NPP) of potential natural vegetation and its spatio-temporal distribution pattern, and the response to climate and topography in China using meteorological data and the improved CASA model (Carnegie Ames Stanford Approach) in conjunction with NDVI (Normalized Difference Vegetation Index) time series datasets during 1982-2012. Research results showed that NPP of potential natural vegetation in China represented an increase trend following the times series from 1982 to 2012. Significant heterogeneity was embodied on its spatial distribution pattern for NPP of potential natural vegetation. NPP of each CSCS types and super-types were different. High agreement of spatio-temporal variation was achieved between NPP of potential natural vegetation and temperature, precipitation and solar radiation in China. NPP of potential natural vegetation reflected increase, decrease and increase trend with the increase of elevation, slope and aspect, respectively. NPP of each CSCS types generally performed the horizontal and vertical zonal distribution pattern of water and heat for natural vegetation, which had homoplasy with index chart of CSCS. The study results could promote the amalgamation of research in CSCS and global change fields.

Key words: Potential natural vegetation, Net primary productivity, Spatio-temporal variation, Climate, Topography, CSCS

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