中国农业气象 ›› 2023, Vol. 44 ›› Issue (05): 433-444.doi: 10.3969/j.issn.1000-6362.2023.05.008

• 农业气象灾害 栏目 • 上一篇    

南方地区大棚种植非洲菊高温热害风险区划

姜雨函,罗靖,杨再强,郑艳姣   

  1. 1.南京信息工程大学气象灾害预报预警与评估协同创新中心,南京 210044;2.江苏省农业气象重点实验室,南京 210044
  • 收稿日期:2022-06-13 出版日期:2023-05-20 发布日期:2023-05-17
  • 通讯作者: 杨再强,教授,研究方向为设施农业气象。 E-mail: yzq@nuist.edu.cn
  • 作者简介:姜雨函,E-mail: 20201208010@nuist.edu.cn
  • 基金资助:
    国家重点研发计划项目(2019YFD1002202)

Risk Zoning of High Temperature and Heat Damage to Gerbera Planted in Greenhouse in Southern China Area

JIANG Yu-han, LUO Jing, YANG Zai-qiang, ZHENG Yan-jiao   

  1. 1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. Jiangsu Key Laboratory of Agrometeorology, Nanjing 210044
  • Received:2022-06-13 Online:2023-05-20 Published:2023-05-17

摘要: 以非洲菊“里奥内格罗”(Gerbera jamesonii Bolus, Rionegro)为研究对象,采用人工控制试验,以日/夜气温28℃/18℃为对照(CK),对非洲菊进行动态高温(32℃/22℃、35℃/25℃、38℃/28℃和41℃/31℃)和持续时间(4d、6d、8d和10d)处理,测定不同处理下非洲菊叶片的光合特性、荧光特性和衰老特性相关生理指标。依据相关性分析和主成分分析结果,构建适用于中国南方地区的设施非洲菊高温热害等级指标,并结合1990−2019年366个站点的气象资料和温室大棚小气候资料,利用BP神经网络模拟南方地区温室内日最高气温,以此开展南方非洲菊种植区大棚栽培高温热害风险区划。结果表明:(1)通过主成分分析提取Pn、Pmax、PItotal、Fv/Fm和POD作为关键指标构建设施非洲菊高温热害胁迫指数(HSI),将其分为轻度(0.2<HSI≤0.4)、中度(0.4<HSI≤0.6)和重度(HSI>0.6)三个等级,并以此确定其高温热害胁迫气象指标。(2)1990−2019年南方地区非洲菊种植区轻度高温热害爆发频率在0.19~0.90,以四川和云南东部及其以西地区居多;与轻度高温热害相比,中度高温热害在整个南方地区发生频率有所下降,主要发生在广西和广东地区,最高频率可达0.54。重灾发生频率也明显低于轻度,在0~0.58。(3)1990−2019年设施非洲菊高温热害在南方地区总体呈现南高北低的趋势,其中重庆、湖北、湖南、江西、广西、广东、福建和浙江等地,较大范围内为高风险区,而四川盆地以及云南东部和西部地区风险较低。其他区域为设施非洲菊高温热害中风险区。

关键词: 非洲菊, 高温热害, BP神经网络, 南方地区, 风险区划

Abstract: Gerbera jamesonii Bolus (Rionegro) was subjected to dynamic high temperature (32°C/22°C, 35°C/25°C, 38°C/28°C and 41°C/31°C) and duration (4d, 6d, 8d and 10d) treatments in an artificial control experiment with day/night temperatures of 28°C/18°C as control (CK). The physiological indicators related to the photosynthetic, fluorescence, and senescence characteristics of gerbera leaves were measured under different treatments. Based on the results of the correlation analysis and principal component analysis, authors constructed risk indexes for high temperature and heat damage (HT & HD) in Gerbera applicable to the greenhouse in southern China. Combining meteorological data from 366 stations and greenhouse microclimate data from 1990−2019, BP neural network was used to simulate the maximum daily temperature in greenhouses in the southern region as a way to carry out the risk zoning of HT & HD in greenhouse cultivation in the southern gerbera planted region. The results showed that: (1) to create the heat stress index (HSI) of gerbera in the greenhouse, Pn, Pmax, PItotal, Fv/Fm, and POD were extracted as key indicators by principal component analysis. They were classified into three levels: mild (0.2<HSI≤0.4), moderate (0.4<HSI≤0.6), and severe (HSI>0.6), which were then used to determine its heat stress meteorological indicators. (2) The southern China gerbera planting area experienced mild HT & HD on average every 0.19 to 0.90 years between 1990 and 2019, with the majority of these outbreaks occurring in Sichuan and Yunnan's eastern and western regions. In contrast to the mild, moderate HT & HD on average decreased in frequency throughout the south, with a maximum frequency of 0.54 occurring mostly in Guangxi and Guangdong areas. Severe HT & HD occurred 0 to 0.58 times less frequently than mild disasters. (3) In the southern China, the HT & HD to gerbera in the greenhouse from 1990 to 2019 revealed a general trend of high in the south and low in the north. Among these, the Sichuan basin and the eastern and western areas of Yunnan are at low risk, whereas Chongqing, Hubei, Hunan, Jiangxi, Guangxi, Guangdong, Fujian, and Zhejiang are, to a great extent, high-risk regions. Other areas are at medium risk of HT & HD to the gerbera in the greenhouse.

Key words: Gerbera, High temperature and heat damage, BP neural network, Southern China region, Risk zoning