Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 26 min ago
Peer-reviewedCC BY 4.0Mathematics

Bayesian Parameter Estimation of Cannibalism Dynamics in Larval Atractosteus tropicus Under Different Feeding Conditions

  • Juan Carlos González-Aguirre1
  • María Fernanda Jiménez1,2
  • Gamaliel Blé2
  • Rafael Martínez-García3
  • Carlos Alfonso Álvarez-González3
  • Alam Yair Hidalgo1,2
  1. 1Tecnológico Nacional de México-Instituto Tecnológico Superior de Comalcalco, Carretera Vecinal Comalcalco-Paraiso Km. 2, Rancheria Occidente 3ra. Sección, Comalcalco C.P. 86650, Tabasco, Mexico
  2. 2División Académica de Ciencias Básicas, Universidad Juárez Autónoma de Tabasco, Carretera Cunduacán-Jalpa de Méndez, Km. 1, Cunduacán C.P. 86690, Tabasco, Mexico
  3. 3Laboratorio de Fisiología en Recursos Acuáticos (LAFIRA), División Académica de Ciencias Biológicas, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Cárdenas Km. 0.5, Villahermosa C.P. 86039, Tabasco, Mexico
Open at sourceDOICite

Abstract

In this work, Bayesian estimation is performed for the parameters of a mathematical model, formulated as a system of ordinary differential equations, that describes cannibalism dynamics in larval populations of Atractosteus tropicus reared in a pond. The model divides the population into three subclasses: vulnerable, cannibalistic, and non-vulnerable individuals. Parameter estimation is conducted under two scenarios: a fed population and an unfed population. Correlation matrices are calculated for both cases. For the fed population, the most influential parameters are food quality and the time devoted to managing cannibalistic individuals. In contrast, for the unfed population, the strongest correlation occurs between the mortality rate and the transition rate of cannibalistic individuals to the non-vulnerable class. Therefore, providing larvae with high-quality food substantially reduces cannibalism and the handling time required and, consequently, increases the survival of the species.

Related

  1. Bioequivalence of tegomil fumarate gastro-resistant capsules versus dimethyl fumarate gastro-resistant capsules under different fed conditions: two randomized, crossover, phase I studies
    Katja Zietz, Simona Rizea Savu, Lina Remis +3
    Frontiers in neurologyPeer-reviewedCC BYFull textNeurologyEurope PMC
  2. In Vivo Cardiac Biomechanical Model Parameter Estimation from Ultrafast Shear Wave Elastography
    Camilla Ferrario, Maelys Venet, Olivier Villemain +1
    Biomechanics and Modeling in MechanobiologyPeer-reviewedCC BY 4.0Full textSystems & synthetic biologyMedical imaging & radiologyHAL
  3. Parameter Estimation for the Intravoxel Incoherent Motion-diffusional Kurtosis Imaging Model Using Synthetic Q-space Learning Toward Breast Tumor Diagnosis
    Kousei Konya, Yuki Ichinoseki, Erina Kato +5
    Magnetic Resonance in Medical SciencesPeer-reviewedCC BYFull textMedical imaging & radiologyJ-STAGE
  4. Impact of parameter settings on the estimation of drug exposure with the individualized dispensing patterns method
    Laëtitia Gosselin, Clara Lévy, Noémie Sève +6
    British Journal of Clinical PharmacologyPeer-reviewedCC BY-NC-ND 4.0Full textGeneral medicinePMC
  5. Adapting familiar object use to altered structure under different viewing conditions
    Riccardo Proietti, Irene Sciulli, Annalisa Bosco +2
    PsyArXivPreprintCC0Full textPhysiologyOSF

Cite

BibTeXRIS
BibTeX
@article{gonzalezaguirre2026bayesian,
  title = {{Bayesian Parameter Estimation of Cannibalism Dynamics in Larval Atractosteus tropicus Under Different Feeding Conditions}},
  author = {Juan Carlos González-Aguirre and María Fernanda Jiménez and Gamaliel Blé and Rafael Martínez-García and Carlos Alfonso Álvarez-González and Alam Yair Hidalgo},
  journal = {Mathematics},
  year = {2026},
  month = oct,
  doi = {10.3390/math14213855},
  url = {https://www.mdpi.com/2227-7390/14/21/3855},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Bayesian Parameter Estimation of Cannibalism Dynamics in Larval Atractosteus tropicus Under Different Feeding Conditions
AU  - Juan Carlos González-Aguirre
AU  - María Fernanda Jiménez
AU  - Gamaliel Blé
AU  - Rafael Martínez-García
AU  - Carlos Alfonso Álvarez-González
AU  - Alam Yair Hidalgo
PY  - 2026
DA  - 2026/10/22
JO  - Mathematics
DO  - 10.3390/math14213855
UR  - https://www.mdpi.com/2227-7390/14/21/3855
AB  - In this work, Bayesian estimation is performed for the parameters of a mathematical model, formulated as a system of ordinary differential equations, that describes cannibalism dynamics in larval populations of Atractosteus tropicus reared in a pond. The model divides the population into three subclasses: vulnerable, cannibalistic, and non-vulnerable individuals. Parameter estimation is conducted under two scenarios: a fed population and an unfed population. Correlation matrices are calculated for both cases. For the fed population, the most influential parameters are food quality and the time devoted to managing cannibalistic individuals. In contrast, for the unfed population, the strongest correlation occurs between the mortality rate and the transition rate of cannibalistic individuals to the non-vulnerable class. Therefore, providing larvae with high-quality food substantially reduces cannibalism and the handling time required and, consequently, increases the survival of the species.
SN  - 2227-7390
ER  -