dc.creator | Duan, Yingying | es |
dc.creator | Rong, Haina | es |
dc.creator | Qi, Dunwu | es |
dc.creator | Valencia Cabrera, Luis | es |
dc.creator | Zhang, Gexiang | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2021-04-22T10:39:17Z | |
dc.date.available | 2021-04-22T10:39:17Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Duan, Y., Rong, H., Qi, D., Valencia Cabrera, L., Zhang, G. y Pérez Jiménez, M.d.J. (2020). A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System. Complexity, 2020 (Article ID 1312824) | |
dc.identifier.issn | 1076-2787 | es |
dc.identifier.uri | https://hdl.handle.net/11441/107567 | |
dc.description.abstract | Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological
populations. *ese models, providing distributed parallel devices, have shown a great potential to imitate the rich features
observed in the behaviour of species and their interactions and key elements to understand and model ecosystems. Compared
with differential equations, membrane computing models, also known as P systems, can model more complex biological
phenomena due to their modularity and their ability to enclose the evolution of different environments and simulate, in
parallel, different interrelated processes. In this paper, a comprehensive survey of membrane computing models for ecosystems
is given, taking a giant panda ecosystem as an example to assess the model performance. *is work aims at modelling a number
of species using P systems with different membrane structure types to predict the number of individuals depending on
parameters such as reproductive rate, mortality rate, and involving processes as rescue or release. Firstly, the computing models
are introduced conceptually, describing the main elements constituting the syntax of these systems and explaining the semantics
of the rules involved. Next, various modelled species (including endangered animals, plants, and bacteria) are
summarized, and some computer tools are presented. *en, a discussion follows on the use of P systems for ecosystem
modelling. Finally, a case study on giant pandas in Chengdu Base is analysed, concluding that the study in this field by using
PDP systems can provide a valuable tool to deepen into the knowledge about the evolution of the population. *is could
ultimately help in the decision-making processes of the managers of the ecosystem to increase the species diversity and modify
the adaptability. Besides, the impacts of natural disasters on the population dynamics of the species should also be considered.
*e analysis performed throughout the paper has taken into consideration this fact in order to increase the reliability of the
prospects making use of the models designed. | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad TIN2017-89842-P (MABICAP) | es |
dc.format | application/pdf | es |
dc.format.extent | 26 | es |
dc.language.iso | eng | es |
dc.publisher | Hindawi | es |
dc.relation.ispartof | Complexity, 2020 (Article ID 1312824) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2017-89842-P (MABICAP) | es |
dc.relation.publisherversion | https://www.hindawi.com/journals/complexity/2020/1312824/ | es |
dc.identifier.doi | 10.1155/2020/1312824 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.journaltitle | Complexity | es |
dc.publication.volumen | 2020 | es |
dc.publication.issue | Article ID 1312824 | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | es |