Thesis icon

Thesis

Inferring eco-evolutionary feedbacks from time series data using neural ordinary differential equations

Abstract:

Ecological and evolutionary dynamics were thought to operate on different time scales. Recent evidence showed that evolution could be rapid enough to interplay with ecological dynamics and form eco-evolutionary feedbacks. These feedbacks are hard to identify in nature, due to the complexity of the mechanisms and the difficulty of obtaining phenotypic, demographic, and environmental variables. We lack quantitative evidence on feedback effects in real systems, which prevents us from painting a ...

Expand abstract

Actions


Access Document


Files:

Authors


More by this author
Division:
MPLS
Department:
Zoology
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Supervisor
ORCID:
0000-0001-9371-9003
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Examiner
ORCID:
0000-0003-0250-0423
Role:
Examiner
More from this funder
Name:
University of Oxford
Funder identifier:
http://dx.doi.org/10.13039/501100000769
Programme:
Oxford-Oxitec Graduate Scholarship
More from this funder
Name:
Natural Environment Research Council (NERC)
Funder identifier:
http://dx.doi.org/10.13039/501100000270
Programme:
NERC Doctoral Training Partnership (DTP)
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP