dc.contributor.advisor |
Tuck, Ian |
en |
dc.contributor.advisor |
Roberts, Jim |
en |
dc.contributor.author |
Hare, Luther |
en |
dc.date.accessioned |
2020-10-15T01:52:41Z |
|
dc.date.available |
2020-10-15T01:52:41Z |
|
dc.date.issued |
2020 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/53271 |
|
dc.description |
Full Text is available to authenticated members of The University of Auckland only. |
en |
dc.description.abstract |
Fishery managers in New Zealand are responsible for managing fish stocks and mitigating the effects of
fishing on non-target species. Part of this responsibility is to consider how a changing climate impacts
the productivity of fisheries. A change in fishery productivity not only affects economic activities
related to fishing, but also the species which rely on these fish for survival. If the link between the
environment and fishery productivity is not understood and considered in management decisions, then
there is a potential for poor outcomes from both the fishing industry and the broader marine ecosystem.
Without knowledge of how productivity in ecosystems respond to environmental changes, it is difficult
to plan for the effects of a changing climate. Therefore, it is in the interest of fishery managers to
clearly understand link between environmental drivers fishery productivity.
This research aims to identify which environmental drivers may be influencing productivity and survivorship
of certain species in the New Zealand Sub-Antarctic exclusive economic zone. This begins
by preparing the data for analysis, which requires and extensive consideration of why values are missing
and how to impute them. After imputation, change-point analysis finds locations in the univariate
time series where distributional changes occur. Then dynamic factor analysis identifies latent trends
common to multiple species and fits environmental drivers to determine which are useful explanatory
variables for the dynamic factor models. The results of the change-point analysis provides a few potential
relationships between environmental drivers and the fauna. However, the analysis results in no
definite conclusions. The dynamic factor analysis indicates that wind patterns may affect recruitment
for hake, hoki and southern blue whiting. The analysis also identifies two latent trends which describe
general changes in southern arrow squid, scampi, northern royal albatross, Gibson’s albatross and New
Zealand sea lion productivity and survivorship in the Sub-Antarctic. |
|
dc.publisher |
ResearchSpace@Auckland |
en |
dc.relation.ispartof |
Masters Thesis - University of Auckland |
en |
dc.relation.isreferencedby |
UoA |
en |
dc.rights |
Restricted Item. Full Text is available to authenticated members of The University of Auckland only. |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ |
en |
dc.title |
An exploration of the relationships between environmental drivers and fauna in the Sub-Antarctic |
en |
dc.type |
Thesis |
en |
thesis.degree.discipline |
statistics |
|
thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Masters |
en |
dc.date.updated |
2020-09-24T07:22:08Z |
en |
dc.rights.holder |
Copyright: the author |
en |
dc.identifier.wikidata |
Q112952248 |
|