AN OPEN-SYSTEM APPROACH TO COMPLEX BIOLOGICAL NETWORKS

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dc.contributor.authorRebolledo, Rolando
dc.contributor.authorNavarrete, Sergio A.
dc.contributor.authorKefi, Sonia
dc.contributor.authorRojas, Sergio
dc.contributor.authorMarquet, Pablo A.
dc.date.accessioned2025-01-23T21:15:19Z
dc.date.available2025-01-23T21:15:19Z
dc.date.issued2019
dc.description.abstractBiological diversity is essential for the maintenance of the ecosystem functions that support life on the planet. Inherent to this diversity is the seemingly endless way in which the biological entities of a natural system interact and affect each other at local and regional scales, conforming complex ecological networks permeable to external forcing. Existing approaches to capture and model such complexity typically make unrealistic or excessively restrictive assumptions. Here we use concepts from open dynamical systems and metacommunity theory to develop a framework in which the system dynamics is a function of both interspecific interactions in the focal system (e.g., a local community of coexisting species) and unobserved biotic and abiotic interactions with the local and regional environment (e.g., the metacommunity). Species in the vital system interact through direct exchanges of biomass (i.e., trophic interactions), as well as through altering the acquisition and/or transformation of biomass by other species (nontrophic interactions). Interactions are affected by environmental fluctuations and by migration and emigration processes, which can take place at different time scales and can be modeled by stochastic differential equations driven by a mixture of continuous and discontinuous processes. In this manner, the proposed framework provides a wider and more flexible representation of the complexity of ecological systems, in comparison with the closed-system paradigm that isolates the system from the environment. Because the core model explicitly recognizes the existence of local and regional processes, it is also a natural starting point to examine spatially structured networks.
dc.fuente.origenWOS
dc.identifier.doi10.1137/17M1153431
dc.identifier.eissn1095-712X
dc.identifier.issn0036-1399
dc.identifier.urihttps://doi.org/10.1137/17M1153431
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/101080
dc.identifier.wosidWOS:000466418400007
dc.issue.numero2
dc.language.isoen
dc.pagina.final640
dc.pagina.inicio619
dc.revistaSiam journal on applied mathematics
dc.rightsacceso restringido
dc.subjectopen-system dynamics
dc.subjectLevy processes
dc.subjectecological networks
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.ods08 Decent Work and Economic Growth
dc.subject.ods09 Industry, Innovation and Infrastructure
dc.subject.ods13 Climate Action
dc.subject.ods06 Clean Water and Sanitation
dc.subject.ods14 Life Below Water
dc.subject.ods15 Life on Land
dc.subject.ods12 Responsible Consumption and Production
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.subject.odspa08 Trabajo decente y crecimiento económico
dc.subject.odspa09 Industria, innovación e infraestructura
dc.subject.odspa13 Acción por el clima
dc.subject.odspa06 Agua limpia y saneamiento
dc.subject.odspa14 Vida submarina
dc.subject.odspa15 Vida de ecosistemas terrestres
dc.subject.odspa12 Producción y consumo responsable
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleAN OPEN-SYSTEM APPROACH TO COMPLEX BIOLOGICAL NETWORKS
dc.typeartículo
dc.volumen79
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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