Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo

The flora of the Cape Floristic Region is amongst the most diverse and unique on the planet, due mainly to the unique climate of this region. The effects of climate change are threatening many sensitive ecosystems around the world and so it is important to understand how factors of climate change ma...

Full description

Saved in:
Bibliographic Details
Main Author: Govender, Serayen
Other Authors: Altwegg, Andreas
Format: Thesis
Language:English
English
Published: Department of Statistical Sciences 2025
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613227401084928
access_status_str Open Access
author Govender, Serayen
author2 Altwegg, Andreas
author_browse Altwegg, Andreas
Govender, Serayen
author_facet Altwegg, Andreas
Govender, Serayen
author_sort Govender, Serayen
collection Thesis
description The flora of the Cape Floristic Region is amongst the most diverse and unique on the planet, due mainly to the unique climate of this region. The effects of climate change are threatening many sensitive ecosystems around the world and so it is important to understand how factors of climate change may affect the Cape Floristic Region. This paper investigates the effect of changing rainfall seasonality on certain important species of plants in the Cape Floristic Region. The species are selected from different biomes and I focus on two growth forms, namely reseeder and resprouter. Data from an experiment conducted between two biomes in the Cape Floristic Region is used to model the growth of the two growth forms post- fire. Rainfall in this experiment is artificially manipulated on replicated plots at the two experiment sites. The population growth is modelled using state-space models, incorporating both an ecological process model and an observation model. This allows us to account for errors both in the observation of the data as well as in the natural variability in the biological state process that generated the data in order to account for both measurement and process error. My results suggest that increased summer rainfall in the Cape Floristic Region has a positive effect on the populations of reseeder species in both biomes and has little effect on the populations of resprouter species. A multivariate state-space model is also proposed to investigate the effects of interactions of species growth, within the replicated plots.
format Thesis
id oai:open.uct.ac.za:11427/42104
institution University of Cape Town (South Africa)
language English
eng
last_indexed 2026-06-10T12:32:47.627Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Department of Statistical Sciences
publisherStr Department of Statistical Sciences
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/42104 A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo Govender, Serayen Altwegg, Andreas Vegetation Karoo The flora of the Cape Floristic Region is amongst the most diverse and unique on the planet, due mainly to the unique climate of this region. The effects of climate change are threatening many sensitive ecosystems around the world and so it is important to understand how factors of climate change may affect the Cape Floristic Region. This paper investigates the effect of changing rainfall seasonality on certain important species of plants in the Cape Floristic Region. The species are selected from different biomes and I focus on two growth forms, namely reseeder and resprouter. Data from an experiment conducted between two biomes in the Cape Floristic Region is used to model the growth of the two growth forms post- fire. Rainfall in this experiment is artificially manipulated on replicated plots at the two experiment sites. The population growth is modelled using state-space models, incorporating both an ecological process model and an observation model. This allows us to account for errors both in the observation of the data as well as in the natural variability in the biological state process that generated the data in order to account for both measurement and process error. My results suggest that increased summer rainfall in the Cape Floristic Region has a positive effect on the populations of reseeder species in both biomes and has little effect on the populations of resprouter species. A multivariate state-space model is also proposed to investigate the effects of interactions of species growth, within the replicated plots. 2025-11-04T10:09:58Z 2025-11-04T10:09:58Z 2025 2025-11-04T10:06:28Z Thesis / Dissertation Masters MSc http://hdl.handle.net/11427/42104 en eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town
spellingShingle Vegetation
Karoo
Govender, Serayen
A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
thesis_degree_str Master's
title A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
title_full A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
title_fullStr A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
title_full_unstemmed A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
title_short A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
title_sort population dynamics model for analysing the effect of rainfall seasonality on vegetation in the karoo
topic Vegetation
Karoo
url http://hdl.handle.net/11427/42104
work_keys_str_mv AT govenderserayen apopulationdynamicsmodelforanalysingtheeffectofrainfallseasonalityonvegetationinthekaroo
AT govenderserayen populationdynamicsmodelforanalysingtheeffectofrainfallseasonalityonvegetationinthekaroo