CIRAD, UMR CBGP, F-34398, Montpellier, France.
Centre National de Lutte Anti-Acridienne, BP 125, Inezgane, Morocco.
Pest Manag Sci. 2018 Jan;74(1):46-58. doi: 10.1002/ps.4648. Epub 2017 Oct 5.
Preventive management of locust plagues works in some cases but still fails frequently. The role of funding institution awareness was suggested as a potential facilitating factor for cyclic locust plagues. We designed a multi-agent system to represent the events of locust plague development and a management system with three levels: funding institution, national control unit and field teams. A sensitivity analysis identified the limits and improvements of the management system.
The model generated cyclic locust plagues through a decrease in funding institution awareness. The funding institution could improve its impact by increasing its support by just a few percent. The control unit should avoid hiring too many field teams when plagues bring in money, in order to ensure that surveys can be maintained in times of recession. The more information the teams can acquire about the natural system, the more efficient they will be.
We argue that anti-locust management should be considered as a complex adaptive system. This not only would allow managers to prove to funders the random aspect of their needs, but would also enable funders and decision-makers to understand and integrate their own decisions into the locust dynamics that still regularly affect human populations. © 2017 Society of Chemical Industry.
蝗灾的预防性管理在某些情况下奏效,但仍经常失败。资金机构意识被认为是周期性蝗灾的一个潜在促进因素。我们设计了一个多主体系统来表示蝗灾发展的事件,以及一个具有三个层次的管理系统:资金机构、国家控制单位和实地团队。敏感性分析确定了管理系统的局限性和改进。
该模型通过降低资金机构的意识来产生周期性的蝗灾。资金机构只需增加其支持的几个百分点,就可以提高其影响力。当蝗灾带来收益时,控制单位应避免雇用过多的实地团队,以确保在经济衰退时仍能维持调查。团队获取的有关自然系统的信息越多,他们的效率就越高。
我们认为,防治蝗灾管理应被视为一个复杂的自适应系统。这不仅可以使管理者向资金提供者证明其需求的随机性,还可以使资金提供者和决策者理解并将自己的决策纳入仍经常影响人类的蝗灾动态。© 2017 化学工业学会。