描述番茄叶螨生物防治的捕食-拟寄生物数学模型

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Felipe Alves Rubio , Flávio Cardoso Montes , Geisel Alpízar-Brenes , José Roberto Postali Parra , Josemeri Aparecida Jamielniak , Luís Pedro Lombardi Junior , Thomas Nogueira Vilches
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引用次数: 2

摘要

番茄叶螨(Meyrick)(鳞翅目,Gelechiidae)或番茄叶螨,是南美洲番茄作物最具破坏性的害虫之一。利用拟寄生虫和捕食者作为害虫的生物防治剂是化学杀虫剂的替代品,也是一种环境安全的策略。然而,种间三方相互作用(害虫-寄生虫-捕食者)的结果可能会带来惊喜。因此,问题在于敌人的组合如何能够最有效地减少害虫密度。我们用一个常微分方程模型来检验这一点。形式分析和数值分析表明,联合使用两种生物防治剂比单独使用两种生物防治剂更能有效地减少番茄叶螨的数量。具体而言,数值结果表明,在仅由拟寄生虫进行生物控制的情况下,与单独使用拟寄生虫相比,引入捕食者使成年图塔种群减少28%,减少了对番茄作物的危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A predator-parasitoid mathematical model to describe the biological control of the tomato leafminer Tuta absoluta

The Tuta absoluta (Meyrick) (Lepidoptera, Gelechiidae), or tomato leafminer, is one of the most devastating pests of tomato crops in South America. The use of parasitoids and predators as biocontrol agents of this pest is an alternative to chemical insecticides and an environmentally safe strategy. However, an outcome of a three-way interspecific interaction (pest-parasitoid-predator) may bring surprises. The question is thus how a combination of enemies can contribute most effectively to reduction of the pest density. We examine this using an ordinary differential equations model. The formal and numerical analyses show that the joint use of both biological controls is the best option to decrease the tomato leafminer population, in contrast to the use of each biological control agent separately. Specifically, the numerical results show that in a scenario where the only biological control is given by the parasitoid, the introduction of the predator decreases the adult Tuta population by 28%, reducing even more the damage caused in tomato crops compared to the use of parasitoid alone.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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