Predicting reptile species distributions and biogeographic patterns within Kruger National Park

Magister Scientiae (Biodiversity and Conservation Biology) - MSc (Biodiv and Cons Biol) === Knowledge of global reptile ecology is limited and there remains much to understand in terms of detailed reptile species information, including that of their distributions. In South Africa, despite being one...

Full description

Bibliographic Details
Main Author: Barends, Jody Michael
Other Authors: Maritz, Bryan
Language:en
Published: University of the Western Cape 2019
Subjects:
Online Access:http://hdl.handle.net/11394/6745
id ndltd-netd.ac.za-oai-union.ndltd.org-uwc-oai-etd.uwc.ac.za-11394-6745
record_format oai_dc
spelling ndltd-netd.ac.za-oai-union.ndltd.org-uwc-oai-etd.uwc.ac.za-11394-67452019-07-19T03:12:45Z Predicting reptile species distributions and biogeographic patterns within Kruger National Park Barends, Jody Michael Maritz, Bryan Biogeography Geographic information systems (GIS) Kruger National Park Reptile fauna Biodiversity monitoring Magister Scientiae (Biodiversity and Conservation Biology) - MSc (Biodiv and Cons Biol) Knowledge of global reptile ecology is limited and there remains much to understand in terms of detailed reptile species information, including that of their distributions. In South Africa, despite being one of SANParks best-studied reserves, surprisingly little is known about the distributions and spatial ecology of reptiles within Kruger National Park (KNP). Management within KNP follows a strategic adaptive management strategy which monitors the statuses of animals using species or group specific indicators. Indicators are given predetermined upper and lower ranges of acceptable fluctuation before actions are taken. These ranges are referred to as thresholds of potential concern (TPCs), and for reptiles these are based on changes to their distributions across the landscape of KNP. An apparent lack of high-quality reptile distribution data inhibits the effective monitoring of the statuses of these animals within KNP, which in turn limits management and conservation options. In this study, I use several methods to quantify available reptile occurrence data which formed the foundations for predicting the distributions of these species across KNP by means of species distribution modelling, with a view to gaining novel insight into reptile assemblage structure across the landscape of KNP. 2019-05-09T07:28:21Z 2019-05-09T07:28:21Z 2018 http://hdl.handle.net/11394/6745 en University of the Western Cape University of the Western Cape
collection NDLTD
language en
sources NDLTD
topic Biogeography
Geographic information systems (GIS)
Kruger National Park
Reptile fauna
Biodiversity monitoring
spellingShingle Biogeography
Geographic information systems (GIS)
Kruger National Park
Reptile fauna
Biodiversity monitoring
Barends, Jody Michael
Predicting reptile species distributions and biogeographic patterns within Kruger National Park
description Magister Scientiae (Biodiversity and Conservation Biology) - MSc (Biodiv and Cons Biol) === Knowledge of global reptile ecology is limited and there remains much to understand in terms of detailed reptile species information, including that of their distributions. In South Africa, despite being one of SANParks best-studied reserves, surprisingly little is known about the distributions and spatial ecology of reptiles within Kruger National Park (KNP). Management within KNP follows a strategic adaptive management strategy which monitors the statuses of animals using species or group specific indicators. Indicators are given predetermined upper and lower ranges of acceptable fluctuation before actions are taken. These ranges are referred to as thresholds of potential concern (TPCs), and for reptiles these are based on changes to their distributions across the landscape of KNP. An apparent lack of high-quality reptile distribution data inhibits the effective monitoring of the statuses of these animals within KNP, which in turn limits management and conservation options. In this study, I use several methods to quantify available reptile occurrence data which formed the foundations for predicting the distributions of these species across KNP by means of species distribution modelling, with a view to gaining novel insight into reptile assemblage structure across the landscape of KNP.
author2 Maritz, Bryan
author_facet Maritz, Bryan
Barends, Jody Michael
author Barends, Jody Michael
author_sort Barends, Jody Michael
title Predicting reptile species distributions and biogeographic patterns within Kruger National Park
title_short Predicting reptile species distributions and biogeographic patterns within Kruger National Park
title_full Predicting reptile species distributions and biogeographic patterns within Kruger National Park
title_fullStr Predicting reptile species distributions and biogeographic patterns within Kruger National Park
title_full_unstemmed Predicting reptile species distributions and biogeographic patterns within Kruger National Park
title_sort predicting reptile species distributions and biogeographic patterns within kruger national park
publisher University of the Western Cape
publishDate 2019
url http://hdl.handle.net/11394/6745
work_keys_str_mv AT barendsjodymichael predictingreptilespeciesdistributionsandbiogeographicpatternswithinkrugernationalpark
_version_ 1719228784026058752