首页|安徽省油茶精细化气候区划研究

安徽省油茶精细化气候区划研究

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油茶是我国特有的木本食用油料植物,发展油茶等木本油料是增加我国食用植物油的重要渠道.安徽省是全国重点种植油茶的省份之一,油茶的种植发展空间非常大.本研究基于气候数据与油茶种植资料,运用最大熵模型和ArcGIS分析现阶段安徽省油茶生长的气候适宜性特征.结果表明:皖南南部为气候最适宜区;皖南北部为气候适宜区;沿江和江淮之间南部地区为气候次适宜区;沿淮淮北和江淮之间北部为气候不适宜区.此外,利用安徽省境内81个气象站点1991—2020年的气象数据和油茶灾害指标,在安徽省油茶气候适宜区、次适宜区和最适宜区范围内,统计不同等级灾害发生频率,得到不同等级灾害的风险区划图;并利用专家打分法确定不同等级灾害的权重系数,从而得到油茶果实膨大高峰期干旱、高温,油茶花期低温冷害和阴雨风险区划图.此研究以期为优化油茶产业布局提供科学参考,为开展直通式特色气象服务提供技术支撑,提升油茶气象灾害风险防御能力,从而提高其经济效益.
Refined Climatic Regionalization of Camellia oleifera in Anhui Province
Camellia oleifera is a unique woody edible oil species in China and developing plantations of woody oil species including Ca-mellia oleifera is an important way to increase edible vegetable oil output in China. Anhui, as one of the key provinces with Camellia oleifera plantations in China, has huge potential for developing the plantations further. In this paper, based on the climate and the spe-cies plantation data, an analysis was made on the current climatic suitability features for the species in Anhui using the Maximum entro-py model and ArcGIS. The results showed that the southern part of South Anhui is the most suitable area, the northern part of South An-hui is the suitable area, the areas along the Yangtze River and the southern part of Jianghuai Region are sub-suitable areas while the ar-eas to the north of the Huai River and the northern part of Jianghuai Region are unsuitable areas. In addition, with the meteorological data of 81 meteorological stations in the province from 1991 to 2020 and the species disaster index, a statistical survey was made on the frequencies of different grades of disasters in the suitable, sub-suitable and most suitable areas and a risk zoning map of different grades of disasters was developed. The expert scoring method was used to determine the weight coefficient of different grades of disas-ters to form the risk zoning map of drought and high temperature in the peak period of the fruiting stage, low temperature and cold dam-age and rain in the flowering stage. It is hoped that the results could provide scientific reference for optimizing Camellia oleifera indus-trial layout and technical support for straight-through meteorological service, improving the meteorological disaster risk prevention ca-pability and the plantation benefits.

Camellia oleiferaClimateDisasterRegionalization

许莹、王晓东、曹雯、刘瑞娜

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安徽省农村综合经济信息中心,安徽 合肥 230031

油茶 气候 灾害 区划

2024

安徽林业科技
安徽省林业科学研究院 安徽省林学会

安徽林业科技

影响因子:0.249
ISSN:2095-0152
年,卷(期):2024.50(1)
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