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A general model of hormesis in biological systems and its application to pest management

文献类型： 外文期刊

作者： Tang, Sanyi 1 ; Liang, Juhua 1 ; Xiang, Changcheng 2 ; Xiao, Yanni 3 ; Wang, Xia 1 ; Wu, Jianhong 4 ; Li, Guoping 5 ; Che 1 ;

作者机构： 1.Shaanxi Normal Univ, Sch Math & Informat Sci, Xian 710119, Shaanxi, Peoples R China

2.Hubei Univ Nationalities, Dept Math, Enshi 445000, Peoples R China

3.Xi An Jiao Tong Univ, Dept Appl Math, Xian 710049, Shaanxi, Peoples R China

4.York Univ, Lab Ind & Appl Math, Toronto, ON M3J 1P3, Canada

5.Henan Acad Agr Sci, Inst Plant Protect, 116 Huayuan Rd, Zhengzhou 450002, Henan, Peoples R China

6.Univ Greenwich Medway, Nat Resources Inst, Cent Ave, Chatham ME4 4TB, Kent, England

7.Imperial Coll London, Sch Publ Hlth, Dept Infect Dis Epidemiol, St Marys Campus,Norfolk Pl, London W2 1PG, England

关键词： ecological paradox; Ricker equation; Apolygus lucorum; pest control; complex dynamics; stability

期刊名称：JOURNAL OF THE ROYAL SOCIETY INTERFACE （ 影响因子：4.118； 五年影响因子：4.523 ）

ISSN： 1742-5689

年卷期： 2019 年 16 卷 157 期

页码：

收录情况： SCI

摘要： Hormesis, a phenomenon whereby exposure to high levels of stressors is inhibitory but low (mild, sublethal and subtoxic) doses are stimulatory, challenges decision-making in the management of cancer, neurodegenerative diseases, nutrition and ecotoxicology. In the latter, increasing amounts of a pesticide may lead to upsurges rather than declines of pests, ecological paradoxes that are difficult to predict. Using a novel re-formulation of the Ricker population equation, we show how interactions between intervention strengths and dose timings, dose-response functions and intrinsic factors can model such paradoxes and hormesis. A model with three critical parameters revealed hormetic biphasic dose and dose timing responses, either in a J-shape or an inverted U-shape, yielding a homeostatic change or a catastrophic shift and hormetic effects in many parameter regions. Such effects were enhanced by repeated pulses of low-level stimulations within one generation at different dose timings, thereby reducing threshold levels, maximum responses and inhibition. The model provides insights into the complex dynamics of such systems and a methodology for improved experimental design and analysis, with wide-reaching implications for understanding hormetic effects in ecology and in medical and veterinary treatment decision-making. We hypothesized that the dynamics of a discrete generation pest control system can be determined by various three-parameter spaces, some of which reveal the conditions for occurrence of hormesis, and confirmed this by fitting our model to both hormetic data from the literature and to a non-hormetic dataset on pesticidal control of mirid bugs in cotton.

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