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干旱区地理 ›› 2003, Vol. 26 ›› Issue (4): 340-344.doi: 10.13826/j.cnki.cn65-1103/x.2003.04.008

• 自然地理与气候变化 • 上一篇    下一篇

新疆北部20年棉花物候计算和分析——以炮台镇为例

吕昭智1, 李莉1, 田长彦1, 杨新建2, 王军2, 刘永建2   

  1. 1 中国科学院新疆生态与地理研究所,乌鲁木齐 830011;
    2 新疆石河子炮台镇农业技术推广站,石河子 832066
  • 收稿日期:2003-02-26 修回日期:2003-08-19 出版日期:2003-04-25 发布日期:2025-12-22
  • 作者简介:吕昭智(1968–）,陕西岐山人,博士,主要研究方向植保信息技术和棉花害虫综合管理。E-mail：zhaozhi–lv@sina.com
  • 基金资助:
    中国科学院知识创新工程项目 KZCX1–08–01和中国科学院农办项目 NB 十五–E–02

Calculation and analysis of cotton phenology in the Northern of Xinjiang

LU Zhao-zhi1, LI li1, TIAN Chang-yan1, YAN Xin-jiang2, WANG Jun2, LIU Yong-jian2   

  1. 1 Xinjiang institute ecology and geography Urumqi 830011,China;
    2 Paotai agricultural extension station of Xinjiang Paotai,Shihezi 832066,China
  • Received:2003-02-26 Revised:2003-08-19 Published:2003-04-25 Online:2025-12-22

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摘要： 基于singlesine物候模型计算新疆北部20年棉花日度累积值,利用系统聚类法分析20年棉花物候变化规律,建立了物候日度和棉花产量之间的回归模型。结果表明：新疆北部棉花主要物候事件播种、出苗、现蕾、开花、裂铃、吐絮和停止生长所需要的日度累积值分别为53.1853.18、109.99、360.97、635.64、1169.61和1180.02日度;聚类分析将20年划分为4个类型即冷年类型、温暖类型、热年和特热年;棉花产量(y）和全年日度累积值(x1）、棉花停止生长日度累积值(x2）和9月份以后的日度累积值(x3）之间存在正相关。

关键词: 棉花, 新疆北部, 物候, 日度, 聚类分析

Abstract: A single sine model is developed that calculates the accumulated degree-days(DD） of cotton development stages,the change rule of cotton phenology in1980~1999years is done by the cluster analysis with complete linkage method(CLM）,simultaneously,the regression model between cotton yields and degree-days is realized.The result shows approximately 53.18,109.99,360.97,635.64,1169.61and 1180.02DD are the requirement degree-days for seed,seedlings,showing bud,flower,splitting boll,opening boll,and stopping growth,respectively.The accumulated degree-days of cotton growth are varied in 4~5years periodicity.In early cotton stages,seed and seedlings stages,variability of degree-days is bigger than that of other cotton stages,Coefficient of variations are44.1and30.4percent in seed and seedling stages.Four type,cool,warm, hotter and hottest year,is clustered via CLM.Cotton yields(y） and accumulated degree-day for whole year (x1）,stopping growth period(x2） and post-september(x3） is correlated positively.The regression equations is y =–2101.75+2.379x1,y =–2169.35+2.446x2 and y =167.70+7.339x3,respectively.In hotter and hottest years,cotton yields are higher than that of cool and warm years.To apply sums of degree-days of cotton stages and manage cotton growth and production,it is better than calendar time.

Key words: Cotton, Phenology, degree-day, cluster analysis, the northern of Xinjiang

中图分类号: 

  • F127