Spatial distribution of indigenous climate indicator development for rural smallholder farmers in Nkomazi local municipality, South Africa

نویسندگان

چکیده

Abstract This study aimed at smallholder farmers to use their indigenous knowledge in combination with modern climate indicators when making farming decisions Nkomazi Local Municipality, South Africa. Twelve villages were sampled municipality based on of IKS 100 participants applying both qualitative and quantitative research methods. ArcMap v10.7.1 software was used map the distribution these villages, SPSS v25.0 analyse data. Qualitative data analysed through thematic analysis which is interpret patterns meaning within The most relied for weather predictions included animals (31%) followed by plants (26%). Poynton model predicted negative results a 5 0 C temperature increase, that if hot temperatures continue rising, farmers' will decline or disappear, it difficult rural make informed farm-level decisions. Therefore, suggests an integration Indigenous Knowledge Systems (IKS) local adapt change, have access updated agricultural information ability

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ژورنال

عنوان ژورنال: Climatic Change

سال: 2023

ISSN: ['0165-0009', '1573-1480']

DOI: https://doi.org/10.1007/s10584-023-03536-x