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dc.contributor.author손승우-
dc.date.accessioned2024-05-09T01:38:58Z-
dc.date.available2024-05-09T01:38:58Z-
dc.date.issued2023-06-23-
dc.identifier.citationCHAOS, v. 33, NO 063151, Page. 1-7en_US
dc.identifier.issn1089-7682en_US
dc.identifier.issn1054-1500en_US
dc.identifier.urihttps://information.hanyang.ac.kr/#/eds/detail?an=edselc.2-52.0-85162741450&dbId=edselcen_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/190230-
dc.description.abstractIt is well-known that interactions between species determine the population composition in an ecosystem. Conventional studies have focused on fixed population structures to reveal how interactions shape population compositions. However, interaction structures are not fixed but change over time due to invasions. Thus, invasion and interaction play an important role in shaping communities. Despite its importance, however, the interplay between invasion and interaction has not been well explored. Here, we investigate how invasion affects the population composition with interactions in open evolving ecological systems considering generalized Lotka–Volterra-type dynamics. Our results show that the system has two distinct regimes. One is characterized by low diversity with abrupt changes of dominant species in time, appearing when the interaction between species is strong and invasion slowly occurs. On the other hand, frequent invasions can induce higher diversity with slow changes in abundances despite strong interactions. It is because invasion happens before the system reaches its equilibrium, which drags the system from its equilibrium all the time. All species have similar abundances in this regime, which implies that fast invasion induces regime shift. Therefore, whether invasion or interaction dominates determines the population composition.en_US
dc.description.sponsorshipY. Park and H. J. Park were supported by the National Research Foundation (NRF) grant funded by the Korea Government (MSIT) (Grant No. 2020R1A2C1101894). S.-W. Son was supported by the NRF of Korea through Grant No. NRF-2020R1A2C2010875 and also partially supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant, funded by the MSIT, No. 2020-0-01343, Artificial Intelligence Convergence Research Center (Hanyang University ERICA). T. Shimada was supported by JSPS KAKENHI (Grant No. 23K03256). This work was supported by INHA UNIVERSITY Research Grant as well. We also acknowledge the hospitality at APCTP where part of this work was done. This work was supported under the framework of an international cooperation program managed by the National Research Foundation of Korea (No. NRF-2022K2A9A2A07000211).en_US
dc.languageen_USen_US
dc.publisherAIP PUBLISHINGen_US
dc.relation.ispartofseriesv. 33, NO 063151;1-7-
dc.subjectPopulation ecologyen_US
dc.subjectEvolutionary dynamicsen_US
dc.titleInvasion and interaction determine population composition in an open evolving ecological systemen_US
dc.typeArticleen_US
dc.relation.no063151-
dc.relation.volume33-
dc.identifier.doi10.1063/5.0142978en_US
dc.relation.page1-7-
dc.relation.journalCHAOS-
dc.contributor.googleauthorPark, Youngjai-
dc.contributor.googleauthorShimada, Takashi-
dc.contributor.googleauthorSon, Seung-Woo-
dc.contributor.googleauthorPark, Hye Jin-
dc.relation.code2023041781-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E]-
dc.sector.departmentDEPARTMENT OF APPLIED PHYSICS-
dc.identifier.pidsonswoo-


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