8 pahes, The poultry sector is large and expanding in the global South, playing a central role in providing increased protein to a rapidly growing base of consumers. The sector includes small backyard farms, small commercial operations, and very large, complex enterprises. Although there is substantial literature on climate adaptation by crop farmers and large livestock farmers, such information is limited for poultry. This study focuses on the effects of higher temperatures on commercial poultry farms in southwest Nigeria and their adaptation strategies. We use a rich set of in-depth interviews to describe how poultry farmers are adapting to higher temperatures and their reasons for adopting particular practices. In general, interviewees are aware that temperatures have increased over time and that heat stress reduces poultry productivity in terms of weight gain and laying capacity. They are knowledgeable and are not passively enduring the adverse effects of higher temperatures as they have adopted a range of adaptation practices. This study identified three main adaptation strategies: (i) keeping drinking water cool, (ii) keeping the building cool and increasing ventilation, and (iii) giving birds medicines and supplements that help them cope with increased heat. Small farms tend to adopt simple and low-cost practices, and large farms tend to adopt more sophisticated and expensive approaches, in line with the nature of their respective operations. The paper’s findings can help address gaps in strategies aiming to help this critically important sector of the food system be robust to future environmental change.
25pgs, We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
