首页|中国主要油料作物2000-2020年生产时空演化特征及驱动因素分析

中国主要油料作物2000-2020年生产时空演化特征及驱动因素分析

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[目的]分析我国3种主要油料作物大豆、花生、油菜2000-2020年生产时空集聚变化及其驱动因素,为优化食用油料作物生产布局提供参考.[方法]利用重心迁移模型、探索性空间数据分析、时空地理加权回归模型等方法分析大豆、花生、油菜生产时空集聚演变特征及其驱动因素.[结果]①大豆产量最高,花生次之,油菜最低.大豆产量呈大幅波动上升,油菜和花生产量呈小幅波动上升.大豆生产主要分布在黑龙江、内蒙古、河南、安徽;花生生产主要分布在山东、河南、广东;油菜生产主要分布在四川、湖北和湖南.②2000-2020年3种油料作物产量集聚程度呈减弱态势,其中大豆产量高-高聚集区在黑龙江、吉林,低-低聚集区在新疆;花生产量高-高聚集区在山东、河南、安徽,低-低聚集区在新疆;油菜产量高-高聚集区在湖北、安徽、江西,低-低聚集区在内蒙古.大豆生产重心从河北唐海县到内蒙古宁城县向西北迁移;花生生产重心在河南境内,向豫西北迁移;油菜生产重心从湖北南漳县到重庆奉节县向西南迁移.③不同油料作物生产驱动因素在不同省份的作用程度不同.大豆生产主要受人口密度、化肥施用量、GDP增长率影响;花生生产主要受化肥施用量、机械总动力、灌溉面积影响;油菜生产主要受人口密度、城镇化率和公路密度影响.[结论]3种主要油料作物生产具有明显的空间地域集聚特征,其影响因素存在差异,整体主要受化肥施用量等社会经济因素影响.
Spatiotemporal evolution characteristics and driving factors of production of major oil crops in China from 2000 to 2020
[Objective]The present paper aimed to analyze the spatial-temporal agglomeration changes and driving factors of three major oil crops in China from 2000 to 2020,namely soybean,peanut and rape,so as to provide reference for optimizing the production layout of edible oil crops.[Method]The spatiotemporal agglomeration evolution characteristics and driving factors of soybean,peanut and rape production were analyzed by using the gravity shift model,exploratory spatial data analysis,spatiotemporal geographical weighted regression model and other methods.[Result](ⅰ)The yield of soybean was the highest,followed by peanut,and the yield of rape was the lowest.The yield of soybeans showed a significant fluctuation increase,while the yield of rapeseed and peanut showed a slight fluctuation increase.Soybean pro-duction was mainly distributed in Heilongjiang,Inner Mongolia,Henan and Anhui.Peanut production was mainly distributed in Shandong,Henan and Guangdong.Rape production was mainly distributed in Sichuan,Hubei and Hunan.(ⅱ)From 2000 to 2020,the yield agglom-eration degree of three oil crops showed a weakening trend,and the high-high accumulation areas of soybean yield were in Heilongjiang and Jilin,and the low-low accumulation area was in Xinjiang;The high-high accumulation areas of peanut yield were in Shandong,Henan and Anhui,and the low-low accumulation area was in Xinjiang;The high-high accumulation areas of rape yield were in Hubei,Anhui and Jian-gxi,and the low-low accumulation area was in Inner Mongolia.The production center of soybean moved to the northwest from Tanghai county in Hebei province to Ningcheng county in Inner Mongolia.The production center of peanut was located in Henan province and was moving to-wards the northwest of Henan province;The production center of rapeseed shifted to the southwest from Nanzhang county in Hubei province to Fengjie county in Chongqing.(ⅲ)The driving factors of different oil production had different effects in different provinces.Soybean pro-duction was mainly affected by population density,fertilizer application and GDP growth rate;Peanut production was mainly affected by chemical fertilizer application,total mechanical power and irrigation area;Rapeseed production was mainly affected by population density,urbanization rate and road density.[Conclusion]The production of three main oil crops has obvious spatial agglomeration characteristics,and the influencing factors are different,which are mainly affected by social and economic factors such as chemical fertilizer application.

Main oil cropsSpatiotemporal evolutionAgglomeration characteristicsDriving factors

张帮锐、张军以

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重庆师范大学地理与旅游学院,重庆 401331

主要油料作物 时空演变 集聚特征 驱动因素

国家社会科学基金项目重庆市教委科学技术研究重点项目

23BJY156KJZD-K202300507

2024

西南农业学报
四川,云南,贵州,广西,西藏及重庆省(区,市)农科院

西南农业学报

CSTPCD北大核心
影响因子:0.679
ISSN:1001-4829
年,卷(期):2024.37(6)