Integrating complexity in population modelling: From matrix to dynamic models
2024
Flores-García, Adrián | Dobson, John Y. | Fonfría, Eva S. | Garcia-Garcia, David | Bordehore, Cesar | Bordehore, Cesar | Fonfría, Eva S. | Garcia-Garcia, David | Dobson, John Y. | Universidad de Alicante. Departamento de Ecología | Universidad de Alicante. Departamento de Matemática Aplicada | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef" | Gestión y Restauración de Ecosistemas Terrestres y Marinos (GRE) | Geodesia por Satélites para la Observación de la Tierra y el Cambio Climático / Satellite Geodesy for Earth Observation and Climate Studies (SG)
Matrix models are widely used in population ecology studies and are valuable for analysing population dynamics, although they are limited in the use of time-varying parameters. This limitation can be overcome by dynamic models. In this study, we revisit a previously published study on a matrix model of a population of the box jellyfish Carybdea marsupialis (L. 1758) in the Western Mediterranean. A dynamic model integrating the transition matrix of the original model is developed in STELLA Architect with the following improvements: (1) Sensitivity study of the reliability of the methodology for calculating the transition matrix and estimation of the errors of the fitting parameters; (2) Closure of the jellyfish life cycle by adding the polyp stage. This will make it possible to simulate scenarios of ecological interest over several years such as a decline in food supply, jellyfish removal strategies, changes in drift currents and changes in substrate availability for planulae to settle. (3) The inclusion of more biological reality. In particular, a temporal pattern of strobilation is added, which improves the fit of the model to the field data.
اظهر المزيد [+] اقل [-]This work was supported by the project GVA-THINKINAZUL/2021/043 “A comprehensive marine observatory in the coast of Oliva-Dénia-Jávea for the conservation of biodiversity, observation of global change and promotion of the blue economy (OBSERMAR-CV)” to CB, supported by the Ministerio de Ciencia e Innovación of the Spanish Government and by Generalitat Valenciana-Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital with the funding from European Union NextGenerationEU (PRTR-C17.I1). Part of this research was conducted at the Marine Laboratory of the University of Alicante in Dénia https://web.ua.es/en/marlabdenia/ (Agreement Ajuntament de Dénia-Conselleria de Medio Ambiente, Agua, Infraestructuras y Territorio de la Generalitat Valenciana).
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
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