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Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa
Dissertation (MSc (Genetics))--University of Pretoria, 2023.
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University of Pretoria
2024
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| _version_ | 1867613626299318272 |
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| access_status_str | Open Access |
| author2 | Greeff, Jacobus Maree |
| author_browse | Greeff, Jacobus Maree |
| author_facet | Greeff, Jacobus Maree |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc (Genetics))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/94519 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:39:08.341Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/94519 Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa Greeff, Jacobus Maree kinarychiman@gmail.com Russo, Isa-Rita Chiman, Kinary UCTD Genetics Ficus craterostoma Population genetics ABCtoolbox Sustainable Development Goals (SDGs) Natural and agricultural sciences theses SDG-13 SDG-13: Climate action Natural and agricultural sciences theses SDG-15 SDG-15: Life on land Dissertation (MSc (Genetics))--University of Pretoria, 2023. Over the past 2.58 million years, recurring glaciation cycles have influenced the distribution and demography of forest in South Africa. These cycles may have led to fluctuations in forest population number and size due to climatic factors. This is because one hypothesis for forest distribution in South Africa is that forests can only grow under specific climatic conditions that limit their distribution. In addition, it has been proposed that forests can only persist in areas protected from natural fires. Ficus craterostoma is a fig tree species confined to forests that should have experienced climatic and fire driven range limitations and potentially recent anthropogenic changes to its distribution. Anthropogenic events like the Bantu-speaking migration (approximately 800-500 YA) and the arrival of European settlers (around 400-300 YA) could have caused forests to contract due to exploitation. The recent history of this species and forests in general remains largely unexplored. Approximate Bayesian Computation analysis revealed that 1) severe bottlenecks occurred towards the end of last glacial maximum (LGM), 2) significant forest expansion was unlikely following the LGM and that 3) there was no human-induced effect on forests. Rather, after the historical bottleneck, forest populations recovered slightly but were unable to return to their once large populations. Therefore, I infer that fire and climate have limited forests in South Africa. NRF Postgraduate Bursary Genetics MSc (Genetics) Unrestricted Faculty of Natural and Agricultural Sciences SDG-13: Climate action SDG-15: Life on land 2024-02-13T09:12:05Z 2024-02-13T09:12:05Z 2024-04-27 2023-11-20 Dissertation * A2024 http://hdl.handle.net/2263/94519 https://figshare.com/s/a3a3069eaba06b8e8205 © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Genetics Ficus craterostoma Population genetics ABCtoolbox Sustainable Development Goals (SDGs) Natural and agricultural sciences theses SDG-13 SDG-13: Climate action Natural and agricultural sciences theses SDG-15 SDG-15: Life on land Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa |
| title | Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa |
| title_full | Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa |
| title_fullStr | Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa |
| title_full_unstemmed | Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa |
| title_short | Approximate Bayesian Computation on Ficus craterostoma genetic variation to understand the history of forests in South Africa |
| title_sort | approximate bayesian computation on ficus craterostoma genetic variation to understand the history of forests in south africa |
| topic | UCTD Genetics Ficus craterostoma Population genetics ABCtoolbox Sustainable Development Goals (SDGs) Natural and agricultural sciences theses SDG-13 SDG-13: Climate action Natural and agricultural sciences theses SDG-15 SDG-15: Life on land |
| url | http://hdl.handle.net/2263/94519 https://figshare.com/s/a3a3069eaba06b8e8205 |