Enith A. Gómez-Hernández , Felipe N. Moreno-Gómez , Moisés Bravo-Gaete , Fernando Córdova-Lepe
{"title":"野生动物人畜共患病病原体的竞争和边缘效应","authors":"Enith A. Gómez-Hernández , Felipe N. Moreno-Gómez , Moisés Bravo-Gaete , Fernando Córdova-Lepe","doi":"10.1016/j.ecolmodel.2024.110838","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"496 ","pages":"Article 110838"},"PeriodicalIF":2.6000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Competition and edge effect in wildlife zoonotic agents\",\"authors\":\"Enith A. Gómez-Hernández , Felipe N. Moreno-Gómez , Moisés Bravo-Gaete , Fernando Córdova-Lepe\",\"doi\":\"10.1016/j.ecolmodel.2024.110838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"496 \",\"pages\":\"Article 110838\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002266\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380024002266","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
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.
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/).