欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2026, Vol. 37 ›› Issue (1): 180-188.doi: 10.13287/j.1001-9332.202512.030

• 研究论文 • 上一篇    下一篇

极端气候对河南花生单产的影响及其灾损评估

黄进, 张方敏*   

  1. 南京信息工程大学生态与应用气象学院/农业与生态气象江苏省高校重点实验室, 南京 210044
  • 收稿日期:2025-04-06 修回日期:2025-10-23 发布日期:2026-07-18
  • 通讯作者: *E-mail: nfuecology@aliyun.com
  • 作者简介:黄 进, 男, 1983年生, 博士。主要从事农业气象灾害诊断与评估研究。E-mail: hjtyforlove@aliyun.com
  • 基金资助:
    江苏省碳达峰碳中和科技创新专项(BE2023400)

Impacts of extreme climate on peanut per-unit yield in Henan Province and its disaster losses assessment

HUANG Jin, ZHANG Fangmin*   

  1. School of Ecology and Applied Meteorology/Jiangsu Provincial University Key Laboratory of Agricultural and Ecological Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2025-04-06 Revised:2025-10-23 Published:2026-07-18

摘要: 花生是河南省特色优势作物,识别单产波动与极端气候的联系有利于保障种植安全。以河南省17个地市的花生单产为研究对象,分析1988—2022年间种植效率区域差异的演变过程;基于气候产量与9种极端气候指数的多元回归分析量化了极端气候对花生的影响;基于气候减产率和逼近理想解排序法分析花生综合气候灾损的时空演变格局。结果表明: 1988—2022年间,研究区花生种植效率的区域均衡性呈现增强趋势,但西部地市的单产依旧显著低于东部高产区;研究期间,生育期内各月的高温事件普遍加剧,特别是近60%站点在8月呈现显著增强趋势,而同期强降水和干旱的增强并不显著;花生主导致灾因子具有显著的区域差异,研究区南部、东部及北部的主导致灾因子为强降水,中西部为高温干旱;极端气候导致12个地市花生显著减产0.8%~6.7%,对其余5个地市未产生显著影响;花生气候灾损在1988—2009年间呈现较高强度,在2010—2022年间处于较低水平。

关键词: 花生, 单产波动, 极端气候, 气候产量, 气候灾损

Abstract: Peanut is a typical crop in Henan Province. Identifying the relationship between per-unit yield fluctuation and extreme climate is crucial for ensuring planting security. With the dataset of peanut per-unit yield from 17 cities during 1988-2022, we analyzed the variations of regional disparities in planting efficiency, quantified the impacts of extreme climate on peanut through the multiple regression analysis between climatic yield and 9 extreme climate indices, and identified the spatio-temporal variations for comprehensive climatic disaster-losses of peanut using climatic reduction rate and technique for order preference by similarity to ideal solution method. The results showed that regional equilibrium in peanut planting efficiency showed an increasing trend during 1988-2022, though per-unit yield in western cities remained significantly lower than those in eastern high-yield regions. The high-temperature events generally intensified across months during the growing season, with nearly 60% of stations showing significant increasing trends in August, while the intensification of concurrent heavy precipitation and drought was not significant. The dominant disaster-inducing factors for peanuts exhibited significant regional differences, with strong rainfall in the southern, eastern, and northern regions, and high-temperature and drought in the central-western regions. Extreme climate led to a significant reduction in peanut yields by 0.8%-6.7% in 12 cities. Climatic disaster losses of peanut displayed higher intensity during 1988-2009 but remained at low levels during 2010-2022.

Key words: peanut, per-unit yield fluctuation, extreme climate, climatic yield, climatic disaster losses