Eco-epidemiological predator–prey models: A review of models in ordinary differential equations

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Enith A. Gómez-Hernández , Felipe N. Moreno-Gómez , Fernando Córdova-Lepe , Moisés Bravo-Gaete , Nelson A. Velásquez , Hugo A. Benítez
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引用次数: 0

Abstract

Eco-epidemiology integrates ecological and epidemiological approaches to analyze both the impact of infectious diseases on ecological communities and how interspecific interactions can alter disease dynamics. With the aim of extracting general principles of eco-epidemiological dynamics, this article presents a review of the literature focusing on predator–prey type ordinary differential equation models with disease in one of the species. We included 81 articles that were categorized according to prey growth function, disease transmission function, epidemiological model compartments, and predator functional response. The findings reveal that these models share a common mathematical lineage, which in turn facilitates the construction of models based on the general assumptions identified in this study. The most prevalent models tend to assume logistic prey growth, a bilinear incidence rate for disease transmission, an epidemiological model of the Susceptible–Infected type, and a Holling Type II predator functional response.

生态流行病学捕食者-猎物模型:常微分方程模型综述
生态流行病学综合了生态学和流行病学的方法,既分析传染病对生态群落的影响,也分析种间相互作用如何改变疾病的动态。为了提取生态流行病学动态的一般原理,本文对文献进行了综述,重点是捕食者-猎物类型的常微分方程模型,其中一个物种存在疾病。我们收录了 81 篇文章,按照猎物生长函数、疾病传播函数、流行病学模型区间和捕食者功能响应进行了分类。研究结果表明,这些模型有着共同的数学脉络,这反过来又促进了基于本研究确定的一般假设的模型构建。最普遍的模型倾向于假定猎物的增长是逻辑的、疾病传播的发病率是双线性的、流行病学模型是易感-被感染类型的、捕食者的功能反应是霍林 II 型的。
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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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