基于BIOCLIM模型的绿圆跳虫在中国的适生区分析

doi:10.3969/j.issn.1004-1524.2021.11.12

浙江农业学报 ›› 2021, Vol. 33 ›› Issue (11): 2098-2103.DOI: 10.3969/j.issn.1004-1524.2021.11.12

基于BIOCLIM模型的绿圆跳虫在中国的适生区分析

黄芳¹(), 张文俊², 张建成³, 张红英³^,^*()

1.湖州海关,浙江湖州 313010
2.台州海关,浙江台州 318000
3.嘉兴海关,浙江嘉兴 314001

收稿日期:2020-08-30 出版日期:2021-11-25 发布日期:2021-11-26
通讯作者: 张红英
作者简介:*张红英,E-mail: zhanghongying@126.com
黄芳(1981—),女,浙江云和人,博士,副研究员,研究方向为植物检疫。E-mail: huangfang_ch@hotmail.com
基金资助:
国家重点研发计划(2018YFD0200900)

Potential distribution of Sminthurus viridis in China analyzed by BIOCLIM model

HUANG Fang¹(), ZHANG Wenjun², ZHANG Jiancheng³, ZHANG Hongying³^,^*()

1. Huzhou Custom, Huzhou 313010, China
2. Taizhou Custom, Taizhou 318000, China
3. Jiaxing Custom, Jiaxing, 314001, China

Received:2020-08-30 Online:2021-11-25 Published:2021-11-26
Contact: ZHANG Hongying

摘要/Abstract

摘要：

利用DIVA-GIS软件结合BIOCLIM生态位模型对绿圆跳虫Sminthurus viridis在中国的适生区进行预测。通过建立已分布点数据集、筛选主要影响因子及BIOCLIM模型预测,绘制绿圆跳虫在中国的潜在分布图。结果表明,绿圆跳虫适生于我国整个华北平原地区以及东北平原南部、西南云贵川地区和华南北部,其中高度适生区为长江中游和黄河中下游地区,涉及四川、甘肃、宁夏、陕西、湖北、安徽6个省区。鉴于绿圆跳虫的入侵高风险,应加强对该虫的检验检疫,尤其警惕其随进口粮食进入我国。

关键词: 绿圆跳虫, 潜在地理分布, BIOCLIM模型

Abstract:

DIVA-GIS software combined with BIOCLIM ecological niche model was used to predict the habitat of Sminthurus viridis in China. The potential distribution of S. viridis in China was mapped by establishing a dataset of distributed points, screening for major influences and BIOCLIM model prediction. The results showed that S. viridis could colonize the entire North China Plain, the southern part of the Northeast Plain, the Yunnan-Guizhou-Sichuan region in the southwest, and the northern part of South China. The highly habituated areas were in the middle and lower reaches of the Yangtze River and the Yellow River, involving six provinces, i.e. Sichuan, Gansu, Ningxia, Shaanxi, Hubei and Anhui. In view of the high risk of invasion of S. viridis, the inspection and quarantine of this pest should be strengthened, especially vigilant against its entry into China with imported grain.

Key words: Sminthurus viridis, potential geographical distribution, BIOCLIM model

中图分类号:

黄芳, 张文俊, 张建成, 张红英. 基于BIOCLIM模型的绿圆跳虫在中国的适生区分析[J]. 浙江农业学报, 2021, 33(11): 2098-2103.

HUANG Fang, ZHANG Wenjun, ZHANG Jiancheng, ZHANG Hongying. Potential distribution of Sminthurus viridis in China analyzed by BIOCLIM model[J]. Acta Agriculturae Zhejiangensis, 2021, 33(11): 2098-2103.

图/表 5

参考文献 16

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代码 Code	环境变量 Environmental factor	公因子方差 Common factor variance	方差 Variance/%
bio1	年平均气温Annual mean temperature	0.961
bio2	昼夜温差月均值Mean diurnal range	0.879
bio3	昼夜温差与年温差比Isothermality	0.796
bio4	温度变化方差Temperature seasonality	0.956
bio5	最热月份最高气温Max temperature of warmest month	0.956
bio6	最冷月份最低气温Min temperature of coldest month	0.962
bio7	年温变化范围Temperature annual range	0.955
bio8	最湿季平均气温Mean temperature of wettest quarter	0.456
bio9	最干季平均气温Mean temperature of driest quarter	0.852
bio10	最暖季平均气温Mean temperature of warmest quarter	0.915
bio11	最冷季平均气温Mean temperature of coldest quarter	0.979	24.862
bio12	年降水量Annual precipitation	0.981	39.630
bio13	最湿月份降水量Precipitation of wettest month	0.965	9.998
bio14	最干月份降水量Precipitation of driest month	0.937
bio15	降雨量变化方差Precipitation seasonality	0.838
bio16	最湿季降水量Precipitation of wettest quarter	0.976	15.655
bio17	最干季降水量Precipitation of driest quarter	0.941
bio18	最热季降水量Precipitation of warmest quarter	0.888
bio19	最冷季降水量Precipitation of coldest quarter	0.935

代码 Code	环境变量 Environmental factor	公因子方差 Common factor variance	方差 Variance/%
bio1	年平均气温Annual mean temperature	0.961
bio2	昼夜温差月均值Mean diurnal range	0.879
bio3	昼夜温差与年温差比Isothermality	0.796
bio4	温度变化方差Temperature seasonality	0.956
bio5	最热月份最高气温Max temperature of warmest month	0.956
bio6	最冷月份最低气温Min temperature of coldest month	0.962
bio7	年温变化范围Temperature annual range	0.955
bio8	最湿季平均气温Mean temperature of wettest quarter	0.456
bio9	最干季平均气温Mean temperature of driest quarter	0.852
bio10	最暖季平均气温Mean temperature of warmest quarter	0.915
bio11	最冷季平均气温Mean temperature of coldest quarter	0.979	24.862
bio12	年降水量Annual precipitation	0.981	39.630
bio13	最湿月份降水量Precipitation of wettest month	0.965	9.998
bio14	最干月份降水量Precipitation of driest month	0.937
bio15	降雨量变化方差Precipitation seasonality	0.838
bio16	最湿季降水量Precipitation of wettest quarter	0.976	15.655
bio17	最干季降水量Precipitation of driest quarter	0.941
bio18	最热季降水量Precipitation of warmest quarter	0.888
bio19	最冷季降水量Precipitation of coldest quarter	0.935

基于BIOCLIM模型的绿圆跳虫在中国的适生区分析

Potential distribution of Sminthurus viridis in China analyzed by BIOCLIM model

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