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Accueil du site → Doctorat → Afrique du Sud → 2018 → The role of indigenous knowledge systems in seasonal prediction and adaptation to climate change and variability amongst smallholder farmers in Bikita, Zimbabwe

University of KwaZulu-Natal (2018)

The role of indigenous knowledge systems in seasonal prediction and adaptation to climate change and variability amongst smallholder farmers in Bikita, Zimbabwe

Mafongoya, Owen

Titre : The role of indigenous knowledge systems in seasonal prediction and adaptation to climate change and variability amongst smallholder farmers in Bikita, Zimbabwe

Auteur : Mafongoya, Owen.

Université de soutenance : University of KwaZulu-Natal

Grade : Doctor of Philosophy (PhD) Rural Development and Resource Management 2018

Résumé
Climate change and variability have serious threats on rainfed agriculture in Zimbabwe. Poor and vulnerable smallholder farmers are facing serious food insecurity. Vulnerability to droughts is worsened by poverty, limited financial capital and access to technology. These factors limit their ability to cope, adapt and build resilience to climate change shocks and stresses. Local farmers’ adaptive potential, planning and preparedness are affected because of absence of adequate seasonal forecasting information. Smallholder farmers usually get forecasting information from indigenous knowledge indicators and scientific forecasts. Due to limited technology, they rely more on indigenous indicators. This study scrutinized local farmer vulnerability and the subsequent indigenous adaptation strategies used in coping with climate change risks and hazards. In using indigenous knowledge in coping and adaptation, the study interrogated the role of social capital and local institutions in reducing their vulnerability to disasters. The role of social capital and local institutions was scrutinized in the context local farmer indigenous knowledge and adaptation. Data in this study was collected using Focus Group Discussions, key informant interviews and structured questionnaires. The collected data was discussed based on the Sustainable Livelihoods Framework. Results revealed majority of smallholder farmers, particularly women, are vulnerable to droughts and diseases. Their adaptive potential is constrained by their limited access weather and seasonal information. Seasonal forecasting information helps them in planning and making decisions which reduces vulnerability to climate change risks and hazards. Despite the presence of multiple indigenous indicators for seasonal forecasting, seasonal information still remains problematic for local farmers.

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