欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2022, Vol. 38 ›› Issue (11): 58-63.doi: 10.11924/j.issn.1000-6850.casb2021-0468

所属专题： 生物技术； 农业气象

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

昭苏县天然草地牧草产量与气象因素的关系研究

李建伟1(), 罗志娜2, 王超3, 范天文1   

  1. 1伊犁州草原工作站,新疆伊宁 835000
    2伊犁州治蝗灭鼠指挥中心,新疆伊宁 835000
    3伊犁州统计局,新疆伊宁 835000
  • 收稿日期:2021-05-01 修回日期:2021-08-16 出版日期:2022-04-15 发布日期:2022-05-18
  • 作者简介:李建伟,男,1984年出生,河南西平人,高级畜牧师,硕士,主要从事天然草原监测与保护相关工作。通信地址：835000 新疆伊犁州伊宁市飞机场路259号 伊犁林业科技大厦,Tel：0999-8055078,E-mail： ljwhist@qq.com。
  • 基金资助:
    伊犁州2020年草原生态修复治理补助“监管监测及科技支撑”项目(新林草字[2020]629号)

The Relationship Between Forage Yield of Natural Grassland and Meteorological Factors in Zhaosu

LI Jianwei1(), LUO Zhina2, WANG Chao3, FAN Tianwen1   

  1. 1The Grassland Workstation of Ili Kazak Autonomous Prefecture, Yining, Xinjiang 835000
    2Command Center of Controlling Locusts and Rodents in Ili Kazak Autonomous Prefecture, Yining, Xinjiang 835000
    3Statistics Bureau of Ili Kazak Autonomous Prefecture, Yining, Xinjiang 835000
  • Received:2021-05-01 Revised:2021-08-16 Online:2022-04-15 Published:2022-05-18

RichHTML

5

PDF (PC)

67

摘要：

为探讨各时间段降雨量、平均温度、日照时数对牧草产量的影响及其定量关系,根据逐月气象数据,将2012—2019年的降雨量、平均气温和日照时数按照时间段分别分成13组,对降雨量、平均温度、日照时数的各组数据与天然草地鲜草产量进行相关性分析及多元回归分析。结果表明：降雨量与鲜草产量的相关性最高,3—7月总降雨量与鲜草产量的正相关性达到了极显著水平（相关系数r=0.839,P=0.009<0.01）,3、4月的降雨量对牧草产量的影响最大。2—7月平均气温与鲜草产量的正相关性达到了极显著水平（相关系数r=0.840,P=0.009<0.01）,2月的平均气温对牧草产量的影响最大。日照时数与鲜草产量的相关性不显著(P>0.05)。多元回归定量分析显示,3—7月的总降雨量每增加1 mm,鲜草产量增加289.693 kg/hm2,2—7月的平均气温每增加0.1℃,鲜草产量增加144.93 kg/hm2。降雨变化对鲜草产量的变化量影响较平均气温的大。

关键词: 天然草地, 鲜草产量, 降雨量, 平均温度, 日照时数

Abstract:

To study the effects of rainfall, average temperature and sunshine hours on forage yield and the quantitative relationship among them, according to the monthly meteorological data, the rainfall, average temperature and sunshine hours were divided into 13 groups based on the time period from 2012 to 2019, and correlation analysis and multiple regression analysis were conducted on rainfall, average temperature, sunshine hours and fresh grass yield of natural grassland. The results showed that: the correlation between rainfall and fresh grass yield was the highest, the positive correlation between the total rainfall and fresh grass yield reached a very significant level from March to July (correlation coefficient r=0.839, P=0.009<0.01), and rainfall had the greatest impact on forage yield in March and April. The positive correlation between average temperature and fresh grass yield reached a very significant level from February to July (correlation coefficient r=0.840, P=0.009<0.01), and the average temperature had the greatest impact on forage yield in February. There was no significant correlation between sunshine hours and fresh grass yield (P>0.05). Multiple regression analysis showed that, fresh grass yield increased by 289.693 kg/hm2 with every 1 mm increase in the total rainfall from March to July, and by 144.93 kg/hm2 with every 0.1℃ increase in the average temperature from February to July. The effect of rainfall on fresh grass yield was greater than that of average temperature.

Key words: natural grassland, fresh grass yield, rainfall, average temperature, sunshine hours

中图分类号: