Estimating connectivity

Type: 
Master Thesis subject (30 ECTS)
programme: 
EMBC+
Many coastal marine organisms have sedentary adults but a far-dispersing egg or larval phase, such that the ongoing survival of geographically separated populations can depend upon each other. This concept of interdependence is referred to as connectivity, and is commonly quantified through the connectivity matrix. Although the connectivity matrix appears throughout the metapopulation literature, it is very difficult, if not impossible, to measure connectivity directly. As a result it has become increasingly common to estimate connectivity based on numerical ocean models, which provide a complete, but probably incorrect, picture of connectivity. This project involves applying inverse techniques to combine the limited available observations with numerical model output to determine best guess connectivity matrices. It will also explore how uncertainty in the estimate of connectivity can influence predictions of metapopulation models.
Number of students: 
1
academic year: 
2016-2017
Contact person email: 
contact person first name: 
Christopher
contact person last name: 
Aiken
Reference Number: RP-47741