北方农业学报 ›› 2016, Vol. 44 ›› Issue (2): 90-90.

• 研究报告 • 上一篇    下一篇

局地水分空间分布与草地生态系统关系的初步研究

郭燕云[1];潘学标[2];王雪姣[1];王森[1];高淑敏[1]   

  1. [1]新疆农业气象台,新疆乌鲁木齐830002 [2]中国农业大学,北京100193
  • 出版日期:2016-04-20 发布日期:2016-04-20
  • 通讯作者: 郭燕云
  • 作者简介:郭燕云(1985-),女,助理工程师,硕士,主要从事农业气象业务及相关科研工作。
  • 基金资助:
    国家重大科学研究计划“全球典型干旱半干旱地区年代尺度气候变化机理及其影响研究”(2012CB956204)

A preliminary study of relationships between Local Water Distribution and grassland ecosystems

GUO Yanyun, PAN Xuebiao,WANG Xuejiao, WANG Sen, GAO Shumin (1.Xinjiang Agro-Meteorological Observatory, Urumchi 830002, China; 2.China Agricultural University, Beijing 100193, China)   

  • Online:2016-04-20 Published:2016-04-20

摘要: 植被群落的地上生物量空间格局受到诸多环境因素的影响,即表现出了一定的尺度依赖性。文章利用小尺度的野外调查资料,采用GIS空间数据处理技术和统计分析等手段,试图揭示内蒙古荒漠草原局地生物量空间分布规律及其与环境因子的关系;另一方面,研究草地植被盖度和生物量的高光谱响应。结果表明:在相同的气候区域,由于地形的因素导致降水二次分配聚集到地势较低的区域,导致高地势区土壤干燥,植被可利用水分缺乏,植株低矮,生物量很低,植物体含水量很小;随着土层深度增加,土壤含水量与生物量(干质量)之间的相关性越好,草地生物量与40~50 cm土层土壤含水量呈显著正相关;此外,对于高光谱特征变量估算牧草盖度和生物量来说,以比值植被指数RVI和归一化植被指数NDVI能获得较好的拟合结果。

Abstract: Spatial pattern of biomass aboveground vegetation communities are affected by many environmental factors, showing some scale-dependent. In this paper, using small-scale field survey data, applying spatial data processing of GIS and means of statistical analysis, to reveal the relationship between local biomass spatial distribution and environmental factors of Inner Mongolian desert steppe; on the other hand, research on grassland vegetation coverage and biomass of high spectral response.The results showed that in the same climatic region, because the factors of the topography leading to the secondary distribution of precipitation, gathered in low-lying areas, resulting soil of high-lying area dryer, lack of vegetation available water and low biomass. With the increase of soil depth, correlation between soil moisture and grassland biomass(dry weight)is better, grassland biomass and 40-50 cm layer soil moisture was in a significant positive correlation. In addition, Using hyperspectral characteristic variables to estimate pasture cover and biomass, ratio vegetation index RVI and normalized difference vegetation index NDVI can get better fitting results.

中图分类号: 

  • S812