Climate change-related risks and adaptation strategies as perceived in dairy cattle farming systems in Tunisia
Amamou, Hajer | Sassi, Mohsen Ben | Aouadi, Hatem | Khemiri, Hichem | Mahouachi, Mokhtar | Beckers, Yves | Hammami, Hedi
The perception of risks due to climate change by farmers and the measures they take to address those risks are of paramount importance in policy-making if the implementations of targeted adaptation and mitigation strategies are to be economically and environmentally sustainable. This study focused on Tunisian dairy farmers’ perceptions of the risks and the actions taken to cope with changes attributable to climate change. Using a bottom-up approach, 566 surveys were carried out randomly among dairy farmers throughout Tunisia. A total of 70 diagnostic variables relating to farm characteristics, resources, management, performances and profit, in addition to climate change risk perception and adaptation strategies, were identified and analyzed. Using multivariate statistical analysis, four dairy farming groups were identified. The largest proportions of farmers belonged to the two above-ground dairy systems: without utilized agricultural areas; and with non-dairy utilized agricultural areas (Clusters 1 and 2). A minority of farmers belonged to medium-sized and large farms that specialized in milk production (Clusters 3 and 4) and has access to sufficient land, water and capital resources. In all the clusters, almost all the farmers perceived that the greatest impact of climate change would be on cow performance and forage production. The attitudes of the farmers towards adaptation to climate change are associated with farm typology. They focused mainly on increasing water capacity for livestock and crop production and improving livestock and housing conditions. The knowledge obtained from this study could be helpful for decision-makers and stakeholders in efforts to develop policies for farm management practices that address climate change and can be adapted to the country’s diverse farming systems.
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