A methodological framework integrating habitat suitability and landscape connectivity to identify optimal regions for insecticide application: A case study in Tongzhou, China
Guo, XL; Wanghe, KY; Ahmad, S; Nabi, G; Zhang, K; Zhu, LH; Lu, DG; Han, DZ; Zhou, K; Strelnikov, II
刊名JOURNAL OF KING SAUD UNIVERSITY SCIENCE
2022
卷号34期号:3
英文摘要Insecticide application is still a standard method in pest management. However, the current regions for insecticide application usually focus on the host of the pest but ignore the migration pathways, continually resulting in pests' periodic outbreaks. This research provides a valuable modeling framework to identify optimal regions for insecticide application to solve this problem. This modeling framework optimizes insecticide areas based on habitat suitability and landscape connectivity, combining the MaxEnt and circuit theory. We conducted a case study in Beijing, China, to elucidate the application of this modeling framework. The input data included 517 occurrence points of Semiothisa cinerearia collected in the fieldwork and the environmental variables related to the eco-physiological characteristics of this species. The results indicated that the Chinese scholar tree (Styphnolobium japonicum) was the most vulnerable species. Increasing the pesticide region by 11.9% at some crucial corridors of the target species, the pest management effectiveness increased by 27.7%, compared with the pesticide applied only to the Chinese scholar trees. In summary, this study proposed a convenient and efficient modeling methodology for planning optimal regions for insecticide application. (C) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University.
内容类型期刊论文
源URL[http://210.75.249.4/handle/363003/61249]  
专题西北高原生物研究所_中国科学院西北高原生物研究所
推荐引用方式
GB/T 7714
Guo, XL,Wanghe, KY,Ahmad, S,et al. A methodological framework integrating habitat suitability and landscape connectivity to identify optimal regions for insecticide application: A case study in Tongzhou, China[J]. JOURNAL OF KING SAUD UNIVERSITY SCIENCE,2022,34(3).
APA Guo, XL.,Wanghe, KY.,Ahmad, S.,Nabi, G.,Zhang, K.,...&Zhao, K.(2022).A methodological framework integrating habitat suitability and landscape connectivity to identify optimal regions for insecticide application: A case study in Tongzhou, China.JOURNAL OF KING SAUD UNIVERSITY SCIENCE,34(3).
MLA Guo, XL,et al."A methodological framework integrating habitat suitability and landscape connectivity to identify optimal regions for insecticide application: A case study in Tongzhou, China".JOURNAL OF KING SAUD UNIVERSITY SCIENCE 34.3(2022).
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