Observatorio de I+D+i UPM

Memorias de investigación
Cursos, seminarios y tutoriales:
Tiempos de colapso y recuperación en sistemas con explotación no lineal y estocasticidad demográfica
Año:2019
Áreas de investigación
  • Aplicaciones a ciencias geológicas y biológicas,
  • Economía ecológica
Datos
Descripción
Recent collapses of many fisheries across the globe have challenged the mathematical ap- proach to these systems through classic bioeconomic models. Decimated populations did not recover as fast as predicted by these models and depensatory effects were introduced to better fit the dynamics at low population abundances. Alternative to depensation, mod- eling captures by non-linear harvesting functions produces equivalent outcomes at small abundances, and the dynamics undergoes a bifurcation leading to population collapse and recovery once catching effort s are above or below certain thresholds, respectively. The time that a population takes to undergo these transitions has been mostly overlooked in bioeconomic contexts, though. In this work we quantify analytically and numerically the times associated to these collapse and recovery transitions in a model incorporating non- linear harvesting and immigration in the presence and absence of demographic stochas- ticity. Counterintuitively, although species at low abundances are prone to extinction due to demographic stochasticity, our results show that stochastic collapse and recovery times are upper bounded by their deterministic estimates. This occurs over the full range of im- migration rates. Our work may have relevant quantitative implications in the context of fishery management and rebuilding.
Internacional
No
Nombre congreso
Seminario invitado en el Departamento de Economía Financiera, Actuarial y Estadística
Entidad organizadora
Facultad de Ciencias Económicas y Empresariales. Universidad Complutense de Madrid
Nacionalidad Entidad
ESPAÑA
Lugar/Ciudad de impartición
Madrid
Fecha inicio
29/11/2019
Fecha fin
29/11/2019
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jose Angel Capitan Gomez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Matemática Aplicada
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