野生动物人畜共患病病原体的竞争和边缘效应

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Enith A. Gómez-Hernández , Felipe N. Moreno-Gómez , Moisés Bravo-Gaete , Fernando Córdova-Lepe
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引用次数: 0

摘要

土地使用的变化是人畜共患疾病增加的一个基本因素,对生态系统和人类都有影响。林区与其周围环境之间的边缘效应改变了物种分布,进而改变了人畜共患病野生动物的动态。周长与面积比高的斑块可能会出现更明显的边缘效应,这就证明了研究疾病动态中斑块形状的重要性。此外,物种之间的竞争,尤其是作为疫源地的物种与非疫源地的物种之间的竞争,在生态流行病学动态中起着至关重要的作用。在这种情况下,我们的研究采用 Lotka-Volterra 模型来探讨两个物种之间的竞争动态。我们在宿主物种中引入了一个内部分类,分为易感和感染两个部分,并使用与边缘效应相关参数有关的函数来模拟疾病传播率。具体来说,传播率区分了核心区域和斑块边缘的易感个体和感染个体之间的相互作用,是一个取决于斑块形状指数的函数,也是边缘效应和宿主密度的函数。我们预测,虽然竞争会减少疾病在宿主之间的传播,但边缘效应却会增加疾病在宿主之间的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Competition and edge effect in wildlife zoonotic agents

The Land-use change emerges as a fundamental factor in the increase in zoonotic diseases, affecting both ecosystems and human populations. The edge effect between forested areas and their surrounding environments, modifies species distribution, and consequently the dynamics zoonotic wildlife. Patches with high perimeter-to-area ratios may experience a more pronounced edge effect, justifying the relevance of studying patch shape in a disease dynamics. In addition, competition between species, especially between those that act as reservoirs and those that do not, plays a crucial role in eco-epidemiological dynamics. In this context, our study addresses competition dynamics between two species employ the Lotka–Volterra model. We introduce an internal classification in the host species with two compartments, susceptible and infected, and model the disease transmission rate using a function linked to parameters associated with the edge effect. Specifically, the transmission rate differentiates interactions between susceptible and infected individuals in the core area and the edge of the patch, being a function dependent on the shape index of the patch, and is of the edge effect and host density. We predicted that, although competition can decrease the spread of the disease among hosts, the edge effect can paradoxically increase it.

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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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