Predicting potential global distribution and risk regions for potato cyst nematodes (Globodera rostochiensis and Globodera pallida)

被引:8
|
作者
He, Yitong [1 ,2 ]
Wang, Rui [3 ]
Zhao, Honghai [1 ]
Ren, Yonglin [2 ]
Agarwal, Manjree [2 ]
Zheng, Dan [4 ]
Gao, Shan [5 ]
McKirdy, Simon J. [2 ]
Chu, Dong [1 ]
机构
[1] Qingdao Agr Univ, Coll Plant Hlth & Med, Shandong Engn Res Ctr Environm Friendly Agr Pest M, Qingdao 266109, Peoples R China
[2] Murdoch Univ, Harry Butler Inst, Perth, WA 6150, Australia
[3] Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100193, Peoples R China
[4] Qingdao Agr Univ, Coll Econ, Qingdao 266109, Peoples R China
[5] Hebei Dahaituo Natl Nat Reserve Management Ctr, Chicheng 075500, Peoples R China
关键词
CLIMATE-CHANGE; POPULATIONS; IMPACTS; THREAT; MAXENT;
D O I
10.1038/s41598-022-26443-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Potato cyst nematodes (PCNs), golden (yellow) cyst nematode (Globodera rostochiensis, gPCN) and pale (white) cyst nematode (G. pallida, pPCN), are important invasive pests in many countries and regions where they can cause significant yield and economic loss for agriculture. Prediction and identification of habitats suitable for PCNs are critical for developing biosecurity strategies, both pre and post border, to maximise the potential for early elimination should an incursion occur. To date, the potential global distribution of PCNs has not been thoroughly studied. Therefore, this study conducted a species distribution model to illustrate the potential global distribution of PCNs and risk regions. In this study, the Maximum Entropy Model (Maxent) associated with the Geographic Information System (GIS) was employed to reveal the potential distribution of the gPCN and pPCN. In addition to bioclimate, soil quality was also included in the model. The global cultivated lands, whether the susceptible hosts were present or not, were used to assess the maximum potential risk regions. The limitation factors for PCNs distribution were also assessed. Results showed that 66% of the global land surface was suitable for gPCN or pPCN or both, and both species can colonise more than 75% of the global cultivated lands. The coldest quarter's mean temperature and precipitation were critical limitations in unsuitable regions. In summary, the global risk maps of PCNs contribute valuable additional information that complements previous national/regional distribution predictions. The results of this distribution research will contribute practical support for decision-makers and practitioners to implement biosecurity strategies from a global perspective, that incorporate prevention or promptly enforce control practices to limit the damage caused by future incursions.
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页数:10
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