自然资源学报

自然资源学报 ›› 2012, Vol. 27 ›› Issue (2): 215-224.doi: 10.11849/zrzyxb.2012.02.005

• 资源生态 • 上一篇    下一篇

1961—2010年我国冬小麦可种植区变化特征

王培娟1, 张佳华1, 谢东辉2, 韩丽娟3   

  1. 1. 中国气象科学研究院, 北京100081;
    2. 北京师范大学 地理学与遥感科学学院; 北京师范大学/中国科学院 遥感应用研究所 遥感科学国家重点实验室;北京师范大学 环境遥感与数字城市北京市重点实验室, 北京100875;
    3. 国家气象中心, 北京100081
  • 收稿日期:2010-09-15 修回日期:2011-08-31 出版日期:2012-02-20 发布日期:2012-02-20
  • 作者简介:王培娟(1978- ),女,内蒙古根河人,博士,副研究员,主要研究方向为生态环境与农业气象理论及应用。E-mail:wangpj@cams.cma.gov.cn
  • 基金资助:

    国家重点基础研究发展计划(2010CB951304);国家自然科学基金(40901170和41071224);中国气象科学研究院基本科研业务费专项资金(2010Y004);国家863计划(2008AA12Z107)。

Spatial Characteristic Analysis on Planting Area of Winter Wheat in China from 1961 to 2010

WANG Pei-juan1, ZHANG Jia-hua1, XIE Dong-hui2, HAN Li-juan3   

  1. 1. Chinese Academy of Meteorological Sciences, Beijing 100081, China;
    2. School of Geography, Beijing Normal University; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Institute of Remote Sensing Applications, CAS; Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, China;
    3. National Meteorological Center of China Meteorological Administration, Beijing 100081, China
  • Received:2010-09-15 Revised:2011-08-31 Online:2012-02-20 Published:2012-02-20

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摘要： 冬小麦是我国的主要粮食作物之一,在我国粮食生产和粮食安全方面占有重要地位。论文以全国553个气象台站1961—2010年的基本气象资料为基础,根据温度垂直递减规律,将气象站点的最低温度数据处理到海平面水平,而后利用ArcGIS软件,对海平面水平的最低温度数据进行空间插值,得到海平面水平的最低温度空间分布图;再利用全国的DEM数据将插值后的温度数据还原到相应的海拔高度,得到当地的最低温度空间分布图。参考崔读昌提出的我国内地冬小麦种植北界条件,并综合北疆有积雪覆盖区冬小麦安全越冬的判定条件,计算得到全国1961—2010年内不同年代际的冬小麦可种植区概率。利用不同年代际冬小麦可种植区概率分布图,从空间的角度分析了这50 a冬小麦可种植区的扩张状况、可种植概率的变化情况等,为我国的冬小麦种植区的选择提供参考。

关键词: 冬小麦, 可种植区, 概率, 空间分布

Abstract: Winter wheat is one of the major grain crops in China. It plays an important role in China's grain productivity and food security. In this paper, daily meteorological factors (minimum temperature and snow depth) were collected at 553 weather stations from the year of 1961 to 2010. According to the diminishing law of vertical temperature, minimum temperature in 553 weather stations was disposed to get the value in sea-level for 50 years. The minimum temperature at sea-level was interpolated to get spatial distribution maps by using ArcGIS software. And then, the minimum temperature maps were restored to true value in the appropriate altitude by DEM data. Referring to the northern boundary of winter wheat planting condition inland and Northern Xinjiang Uygur Autonomous Region, planting probabilities of winter wheat were calculated grid by grid for every decade. Results show that planting areas of winter wheat are expanded toward north and west for the past 50 years. Meanwhile the probabilities of planting are increased for almost each grid. So this study can provide some information for winter wheat planting areas.

Key words: winter wheat, planting area, probability, spatial distribution

中图分类号: 

  • S162.5