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中国棉花纤维品质和气候因子的空间分布特征

熊宗伟1,2,顾生浩3,毛丽丽3,王雪姣3,张立祯3,周治国1**   

  1. (1南京农业大学农学院/农业部作物生长调控重点开放实验室, 南京 210095; 2中国纤维检验局, 北京 100007; 3中国农业大学资源与环境学院, 北京 100193)
  • 出版日期:2012-12-18 发布日期:2012-12-18

Spatial distribution characteristics of China cotton fiber quality and climatic factors based on GIS.

XIONG Zong-wei1,2, GU Sheng-hao3, MAO Li-li3, WANG Xue-jiao3, ZHANG Li-zhen3, ZHOU Zhi-guo1   

  1. (1Ministry of Agriculture Key Laboratory of Crop Growth Regulation, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; 2China Fiber Inspection Bureau, Beijing 100007, China; 3College of Resource and Environmental Sciences, China Agricultural University, Beijing 100193, China)
  • Online:2012-12-18 Published:2012-12-18

摘要: 利用地理信息系统(GIS)对全国主产棉区82个县(市)2005—2011年棉花纤维品质及1981—2010年的逐日平均气象数据进行空间插值处理,建立了基于GIS的全国主产棉区主要棉花纤维品质指标的空间信息系统,并分析了全国棉花纤维品质的区域分布及其与各生态区气候因子空间分布的相关性.结果表明: 日照充足、降水量小、平均相对湿度较低的西北内陆棉区(如新疆)是我国优质棉生产区域,其棉纤维长度、马克隆值、品级等品质指标均居国内各棉区首位;长江和黄河流域两大棉区的棉花纤维比强度值较高,其中,长江流域棉区的棉花纤维长度值和比强度值均大于黄河棉区;黄河棉区的马克隆值和感官品级高于长江棉区.棉花品种指标与各生态区气候因子(温度、光照、降水、湿度)有较好的相关性.

Abstract: By using geographical information system (GIS), the cotton fiber quality data from 2005 to 2011 and the daily meteorological data from 1981 to 2010 at 82 sites (counties and cities) in China major cotton production regions were collected and treated with spatial interpolation. The spatial information system of cotton fiber quality in China major cotton production regions was established based on GIS, and the spatial distribution characteristics of the cotton fiber quality and their relationships with the local climatic factors were analyzed. In the northwest region (especially Xinjiang) of China, due to the abundant sunlight, low precipitation, and low relative humidity, the cotton fiber length, micronaire, and grade ranked the first. In the Yangtze River region and Yellow River region, the specific strength of cotton fiber was higher, and in the Yangtze River region, the cotton fiber length and specific strength were higher, while the micronaire and grade were lower than those in the Yellow River region. The cotton fiber quality was closely related to the climate factors such as temperature, sunlight, rainfall, and humidity.