草地学报 ›› 2017, Vol. 25 ›› Issue (2): 267-272.DOI: 10.11733/j.issn.1007-0435.2017.02.007

• 研究论文 • 上一篇    下一篇

内蒙古典型草原黄囊苔草生长动态对气象因子的滞后响应分析

李静1, 张彩琴2, 张军1,2   

  1. 1. 内蒙古农业大学草原与资源环境学院, 内蒙古 呼和浩特 010019;
    2. 内蒙古农业大学理学院, 内蒙古 呼和浩特 010019
  • 出版日期:2017-04-15 发布日期:2017-06-25
  • 通讯作者: 张彩琴,E-mail:zcq8286@163.com
  • 作者简介:李静(1992-),女,内蒙古自治区阿拉善盟额济纳旗人,硕士研究生,E-mail:583096181@qq.com
  • 基金资助:

    国家自然科学基金项目(31160091);内蒙古农业大学基础学科科研启动基金项目(jc2011004)资助

The Lag Response of the Growth Dynamics of Dominant Grasses to Meteorological Factors in Typical Steppe of Inner Mongolia

LI Jing1, ZHANG Cai-qin2, ZHANG Jun1,2   

  1. 1. College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China;
    2. School of Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China
  • Online:2017-04-15 Published:2017-06-25

摘要:

在全球变化与陆地生态系统关系的研究中,气候和植被相关关系的研究具有非常重要的意义。本文以2014年内蒙古草原生态系统定位站提供的气象数据资料为基础,运用灰色相对关联度以及含有时滞参数的灰色系统模型,分析了内蒙古典型草原区域尺度黄囊苔草(Carex korshinskyi)地上生物量对6种气象因子的响应。结果表明:黄囊苔草对6种气象因子的响应均有滞后效应。黄囊苔草地上生物量对降水量、气温、地温、蒸发量、相对湿度、日照时数的响应分别滞后10,16,16,10,15,5 d。此结果将有助于更加深入理解气象因子对植物群落的影响机制,并为草地植被生产力建模与定量预测提供信息基础,以期在实践应用中发挥更高的价值。

关键词: 地上生物量, 气象因子, 滞后响应, 灰色关联度

Abstract:

The interaction of climate and vegetation affects the surface vegetation coating. According to the meteorological data in 2014 provided by Inner Mongolia grassland ecosystem research station, the response of advantage species biomass in typical steppe of Inner Mongolia grassland to six meteorological factor was studied in small regional scale using grey relational degree analysis and containing time delay parameters of grey system GM(1,N|τ) model. The results showed that the response of Carex lanceolata to six meteorological factors had hysteresis effect. The responses of aboveground biomass to the precipitation, temperature, ground temperature, evaporation, relative humidity and sunshine hours were 10,16,16,10,15,5 d, respectively. This result will help us to understand the mechanism of meteorological factors on plant community, and provide the base information for grassland vegetation productivity modeling and quantitative forecasting, so as to play a higher value in practical application.

Key words: Aboveground biomass, Meteorological factors, Lag response, Gray correlation degree

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