| Bienvenido a CICESE
Datos Personales
Nombre:
Echavarría Heras Héctor Alonso
Categoría:
INVESTIGADOR TITULAR
SNI:
INVESTIGADOR II
Departamento:
DEPARTAMENTO DE ECOLOGIA MARINA
División:
DIVISIÓN DE OCEANOLOGÍA
Correo:
hetxavar@cicese.mx
Extensión:
24255
imagen del personal
Proyectos
Modelación aplicada al estudio de los efectos de la variabilidad climática en zostera marina l.
Líneas de investigación
Modelación matemática aplicada al estudio de procesos biológicos
Oceanografía biológica y pesquera
Uso y conservación de recursos marinos
Laboratorios
Modelación de Procesos biológicos y bioinformática
Hay 52 publicaciones.

Año

Autores / Publicación

2018

Montesinos Lopez, A., Villa Diharce, E., Echavarría Heras, H. A., & Leal Ramírez, C. (2018). Improved allometric proxies for eelgrass conservation. Journal of Coastal Conservation, 21. doi: https://doi.org/10.1007/s11852-018-0639-4. (ID: 23866)

2018

Cazarez Castro, N. R., Odreman Vera, M., Cardenas Maciel, S., Echavarría Heras, H. A., & Leal Ramírez, C. (2018). Fuzzy Differential Equations as a Tool for Teaching Uncertainty in Engineering and Science. Computación y Sistemas, 22(2), 11. doi: 10.13053/CyS-22-2-2947. (ID: 23867)

2018

Echavarría Heras, H. A., Leal Ramírez, C., Castro Rodriguez, J. R., Villa Diharce, E., & Castillo, O. (2018). A Takagi¿Sugeno-Kang Fuzzy Model Formalization of Eelgrass Leaf Biomass Allometry with Application to the Estimation of Average Biomass of Leaves in Shoots: Comparing the Reproducibility Strength of the Present Fuzzy and Related Crisp Proxies. In Oscar Castillo, Patricia Melin and Janusz Kacprzyk (Eds.), Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications (2da Edicion. ed., pp. 329-362). Springer. (ID: 23868)

2018

Echavarría Heras, H. A., Leal Ramírez, C., Villa Diharce, E., & Cazarez Castro, N. R. (2018). On the suitability of an allometric proxy for nondestructive estimation of average leaf dry weight in eelgrass shoots I: sensitivity analysis and examination of the influences of data quality, analysis method, and sample size on precision. Theoretical Biology and Medical Modelling, 15(4), 20. doi: 10.1186/s12976-018-0076-y. (ID: 23865)

2016

Leal Ramírez, C., Echavarría Heras, H. A., Castillo, O., & Montiel Arzate, E. (2016). On the Use of Parallel Genetic Algorithms for Improving the Efficiency of a Monte Carlo-Digital Image Based Approximation of Eelgrass Leaf Area I: Comparing the Performances of Simple and Master-Slaves Structures. In Patricia Melin, Oscar Castillo, Janusz Kacprzyk (Eds.), Nature-Inspired Design of Hybrid Intelligent Systems. Volume 667 of the series Studies in Computational Intelligence (pp. 431-455). Springer. (ID: 21486)

2015

Echavarría Heras, H. A., Leal Ramírez, C., Villa Diharce, E., & Cazarez Castro, N. R. (2015). The effect of parameter variability in the allometric projection of leaf growth rates for eelgrass (Zostera marina L.) II: the importance of data quality control procedures in bias reduction. Theoretical Biology and Medical Modelling, 12(30). doi: 10.1186/s12976-015-0025-y. (ID: 19518)

2015

Leal Ramírez, C., Echavarría Heras, H. A., & Castillo, O. (2015). Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass. In Patricia Melin, Oscar Castillo, Janusz Kacprzyk (Eds.), Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence (Vol. 601, pp. 291-303). Springer. (ID: 19288)

2015

Leal Ramírez, C., Castillo, O., Melin, P., & Echavarría Heras, H. A. (2015). A fuzzy cellular prey-predator model for pest control under sustainable bio-economic equilibrium: A formal description and simulation analysis study. APPLIED MATHEMATICAL MODELLING, 39(7), 1794-1803. doi: 10.1016/j.apm.2014.09.037. (ID: 17795)

2014

Echavarría Heras, H. A., Leal Ramírez, C., Diharce Villa, E., & Castillo, O. (2014). Using the value of Lin's concordance correlation coefficient as a criterion for efficient estimation of areas of leaves of eelgrass from noisy digital images. Source Code for Biology and Medicine. doi: 10.1186/s13029-014-0029-8. (ID: 17799)

2014

Solana Arellano, M. E., Echavarría Heras, H. A., Leal Ramírez, C., & Kun Seop, L. (2014). The effect of parameter variability in the allometric projection of leaf growth rates for eelgrass (Zostera marina L.). Latin American Journal of Aquatic Research, 42(5), 1099-1108. doi: 10.3856/vol42-issue5-fulltext-14. (ID: 17801)

2014

Echavarría Heras, H. A., Leal Ramírez, C., & Castillo, O. (2014). Surface aggregation patterns of LDL receptors near coated pits III: potential effects of combined retrograde membrane flow-diffusion and a polarized-insertion mechanism. Theoretical Biology and Medical Modelling, 11(23). doi: 10.1186/1742-4682-11-23. (ID: 17300)

2014

Leal Ramírez, C., & Echavarría Heras, H. A. (2014). A method for calculating the area of Zostera marina leaves from digital images with noise induced by humidity content. The Scientific World Journal, 11. doi: 10.1155/2014/786896. (ID: 17299)

2014

Solana Arellano, M. E., Díaz Castañeda, V. M., Flores Uzeta, O., Echavarría Heras, H. A., & Rubio Polania, J. C. (2014). Assessment of secondary production and efficiency of different mesh sizes to study benthic communities associated to a Zostera marina meadow. Annual Research & Review in Biology, 4(16), 2603-2616. doi: 10.9734/ARRB/2014/8508. (ID: 17386)

2013

Echavarría Heras, H. A., Solana Arellano, M. E., Leal Ramírez, C., & Franco Vizcaino, E. (2013). An allometric method for measuring leaf growth in eelgrass, Zostera marina, using leaf lenght data. Botánica Marina, 56(3), 275-286. doi: 10.1515/bot-2012-0215. (ID: 16412)

2013

Echavarría Heras, H. A., Solana Arellano, M. E., Leal Ramírez, C., & Castillo, O. (2013). Using allometric procedures to substantiate the plastochrone method for eelgrass leaf growth assessments. Theoretical Biology and Medical Modelling, 10(34). doi: 10.1186/1742-4682-10-34. (ID: 16413)