文章摘要
张 婧 刘 玄 丁远鑫 韩旭霏 王洋洋.大豆种质资源空间分布特征与气候因素的数据分析[J].中国科技资源导刊,2018,(5):55~63
大豆种质资源空间分布特征与气候因素的数据分析
Data Analysis on Spatial Distribution of Soybean Germplasm Resources andIts Relationship with Climatic and Meteorological Factors
投稿时间:2018-04-13  
DOI:
中文关键词: 数据分析;大豆种质资源;GIS;空间分布;探索性空间分析(ESDA);气候气象;相关性分析
英文关键词: data analysis, soybean germplasm resources, GIS, spatial distribution, exploratory spatial data analysis, climatic and meteorological, correlation analysis
基金项目::国家自然科学基金“生物修复Cr(VI)污染过程中有机Cr(III)的产生及其环境行为研究”(51704093);河南大学 创新创业训练计划项目“开封夜市不同时段噪声污染状况分析与对策研究”(2017N038)。
作者单位
张 婧 刘 玄 丁远鑫 韩旭霏 王洋洋 (河南大学环境与规划学院,河南开封 475004) 
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中文摘要:
      为了解全国大豆种质资源空间分布特征及其与气候气象因素的关系,选取大豆资源分布地区经纬度、适宜 播种季节和各生长指标等以及气候气象方面的累年年均温、累年气温年较差、累年相对湿度和累年(08-08)年均降水 量数据,通过ArcGIS、Geo-Da等软件,运用探索性空间分析(ESDA)、相关性分析、空间插值分析等方法进行分析研 究。结果表明:(1)大豆种质资源密度由东南到西北逐渐递减,适宜播种季节数减少;(2)大豆生育日数、株高、百粒重 均存在显著的空间自相关;(3)株高、生育日数和适宜播种季节数与四项气候气象因子均有较显著相关性,而百粒重与 其并无明显相关,对比大豆生长指标与四项气候气象因子的等级分布图知气候气象因素对大豆种质资源空间分布特征 有较显著的影响。
英文摘要:
      In order to understand the spatial distribution of soybean germplasm resources in China and its relationship with climatic and meteorological factors, in this paper, the latitude and longitude, the suitable sowing seasons and growth indexes of soya planting areas, as well as the annual average temperature, annual accumulated temperature, annual relative humidity and (08-08) annual precipitation data in climatic and meteorological aspects are analyzed and researched by using ArcGIS, Geo-Da software, exploratory spatial data analysis (ESDA), correlation analysis, and spatial interpolation analysis methods . The results suggested that: 1) The density of soybean germplasm resources gradually decreased from southeast to northwest, the number of replanting seasons also reduced; 2) There were significant spatial autocorrelation in the number of growing days, plant height and hundred-grain weight of soybean; 3) There was no significant correlation between hundred-grain weight and four climatic and meteorological factors, while plant height, number of growing days and multiple cropping seasons were all significantly correlated with the four climatic andmeteorological factors. By comparing the grade distribution maps of soybean growth index with the grade distribution maps of four climatic factors, climatic and meteorological factors have a significant influence on spatial distribution of soybean germplasm resources.
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