Full Text

Turn on search term navigation

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Although the literature concerning vulnerabilities to climate change (CC) has been growing, research continues to be silent on approaches that can enhance the adaptive capacities of resource-poor communities that are vulnerable to the adverse effects of CC by translating indigenous knowledge (IK) into actionable adaptation strategies. This assertion is premised on the absence of concerted efforts to incorporate IK into science-based adaptation strategies. We attempt to address this gap by using a multidisciplinary investigative approach that taps into the perceptions of local people in the Maluti-a-Phofung Local Municipality in the Free state province of South Africa and what is available in the literature. This approach is helpful because it ensures that local people’s perceptions, alongside other objectively informed insights, are systematically integrated into the co-designing of actionable climate-change adaption strategies. Given these and other considerations, we invite the scientific community and those interested in sustainability to complement our efforts by providing suggestions on the way forward.

Details

Title
Translating Indigenous Knowledge into Actionable Climate-Change Adaption Strategies: A Case Study of Maluti-a-Phofung Local Municipality, Free State Province, South Africa
Author
Muchaku, Shadreck 1   VIAFID ORCID Logo  ; Grey Magaiza 1 ; Hamandawana, Hamisai 2 

 Centre for Gender and Africa Studies, University of the Free State, Phuthaditjhaba 9866, South Africa 
 ARU-Risk and Vulnerability Science Centre, University of the Free State, Phuthaditjhaba 9866, South Africa 
First page
1558
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2767298261
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.