Plant ecology, resources and taxonomy

Geographical Distribution and Suitable Areas Prediction of Mikania micrantha in Zhongshan, Guangdong

  • CHEN Zhi-yun ,
  • MA Hong-yan ,
  • WANG Ling ,
  • LI Dong-wen ,
  • XIE De-zhi ,
  • MO Xian ,
  • KONG Da-qing
Expand
  • (1.Forest Pest Management and Quarantine Station of Zhongshan City, Zhongshan 528403, Guangdong China; 2.Guangzhou Tanhui Forestry Co. Ltd., Guangzhou 510520, Guangdong China)

Received date: 2021-03-04

  Revised date: 2021-02-28

  Online published: 2021-06-30

Abstract

Through a comprehensive field survey, the distribution points of Mikania micrantha were collected and the distribution map of M. micrantha was drawn in Zhongshan, Guangdong. Meanwhile, the environmental variables of actual distribution points of M. micrantha were quantitatively analyzed by MaxEnt model, predicting the suitable distribution areas of M. micrantha in Zhongshan under the current climate. Results showed that M. micrantha was distributed in all 25 towns (or streets) and Municipal Nature Reserve Management and Protection Center under the jurisdiction of Zhongshan, presenting more in the south and less in the north in general. AUC values of the ROC curve were all above 0.8, suggesting that the predicted results had relatively high credibility. Precipitation seasonality, altitude, minimum temperature of coldest month and precipitation of warmest quarter were main environmental variables that limit the distribution of M. micrantha in Zhongshan, with a cumulative contribution rate of 75.5%. 95.40% of the areas in Zhongshan had varying degrees of suitability for the growth of M. micrantha, among which the areas of high, medium and low suitable areas accounted for 5.33%, 33.56%, and 56.51% of the areas of Zhongshan, respectively. In summary, M. micrantha invaded Zhongshan seriously, and the spreading trend had not been contained; MaxEnt model could predict the suitable distribution areas of M. micrantha in Zhongshan, but there was a certain deviation.

Cite this article

CHEN Zhi-yun , MA Hong-yan , WANG Ling , LI Dong-wen , XIE De-zhi , MO Xian , KONG Da-qing . Geographical Distribution and Suitable Areas Prediction of Mikania micrantha in Zhongshan, Guangdong[J]. Subtropical Plant Science, 2021 , 50(03) : 222 -226 . DOI: 10.3969/j.issn.1009-7791.2021.03.010

References

[1] Cock M J W. Potential biological control agents for Mikania micrantha H.B.K. From the Neotropical Region[J]. Null, 1982,28(3): 242–254. [2] 韦春强,潘玉梅,唐赛春,林春华,周超群. 入侵植物薇甘菊在广西的分布与危害[J]. 广西植物, 2014,34(6): 816–820. [3] 王伯荪,廖文波,昝启杰,李鸣光,周先叶,高三红. 薇甘菊Mikania micrantha在中国的传播[J]. 中山大学学报(自然科学版), 2003(4): 47–50,54. [4] 冯惠玲,曹洪麟,梁晓东,周霞,叶万辉. 薇甘菊在广东的分布与危害[J]. 热带亚热带植物学报, 2002(3): 263–270. [5] 邱罗,杨志高,陈伟,熊启明,于洋. 广州薇甘菊潜在空间分布预测分析[J]. 中南林业科技大学学报, 2010,30(5): 128–133. [6] 付小勇,泽桑梓,周晓,季梅. 基于GIS的云南省薇甘菊潜在适生区研究[J]. 西部林业科学, 2015,44(1): 98–102. [7] 钟晓青,黄卓,司寰,昝启杰. 深圳内伶仃岛薇甘菊危害的生态经济损失分析[J]. 热带亚热带植物学报, 2004(2): 167–170. [8] 张海娟,陈勇,黄烈健,倪汉文. 基于生态位模型的薇甘菊在中国适生区的预测[J]. 农业工程学报, 2011,27(S1): 413–418,420. [9] 周伟,赵衡,杨熙. 利用GARP生态位模型预测牛蛙和薇甘菊在中国的地理分布[J]. 西南林业大学学报, 2012,32(1): 51–55. [10] 付小勇,泽桑梓,周晓,季梅. 基于MaxEnt的云南省薇甘菊分布预测及评价[J]. 广东农业科学, 2015,42(12): 159–162. [11] Fick S E, Hijmans R J. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas[J]. International Journal of Climatology, 2017,37(12): 4302–4315. [12] 王茹琳,李庆,封传红,石朝鹏. 基于MaxEnt的西藏飞蝗在中国的适生区预测[J]. 生态学报, 2017,37(24): 8556–8566. [13] 刘超,霍宏亮,田路明,董星光,齐丹,张莹,徐家玉,曹玉芬. 基于MaxEnt模型不同气候变化情景下的豆梨潜在地理分布[J]. 应用生态学报, 2018,29(11): 3696–3704. [14] 段居琦,周广胜. 中国水稻潜在分布及其气候特征[J]. 生态学报, 2011,31(22): 6659–6668. [15] 许少嫦,高亿波,林绪平,刘建锋,余海滨,梁玮莎. 广东薇甘菊发生现状、防治和研究进展[J]. 广东林业科技, 2013,29(4): 83–89.
Outlines

/

〈 〉