Integrating farmers’ perceptions into climate change assessment in the data-scarce Peruvian Amazon

Abstract

Climate change affects agriculture worldwide, with stronger socio-economic impacts in low-income countries where the lack of data hinders the implementation of effective interventions to face climate change effects. The paper proposes an approach to assess local effects associated with climate change in data-scarce contexts, integrating farmers’ perceptions with available climate data. The method is tested in the Upper Huallaga basin, in the Peruvian selva. [...] The proposed approach effectively allows for assessing climatic alterations, their effects, and locally driven adaptation measures in data-scarce regions, as well as providing some insights into trends in sub-daily meteorological events.