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Global warming is one of the primary drivers of habitat loss and population decline in numerous species, including birds, amphibians and marine life. Avian embryos exhibit ectothermic phenotypes during most of their incubation period and are also vulnerable to rising temperatures when parents cannot cool the nests. This vulnerability stems from their unique respiratory mechanisms, which utilize eggshell pores to exchange respiratory gases. The number of pores is fixed at oviposition, and embryos may experience hypoxia during later developmental stages, especially when exposed to elevated ambient/incubation temperatures. Our preliminary study on zebra finch (Taeniopygia guttata castanotis) embryos, where we covered 30% of the shell surface with beeswax and incubated at high (38.9°C) temperature, revealed that half of the individuals that failed to hatch had developed oedema in the hind neck region. This study shows that such physical anomalies occur during incubation prior to death. We found that embryos with oedema had a higher head-to-body ratio, independent of their relative brain mass. Furthermore, oedema formation was correlated with darker-coloured hearts, suggesting reduced blood oxygenation in these embryos. These results highlight the physiological challenges embryos face under suboptimal incubation conditions. This article is part of the theme issue ‘The biology of the avian respiratory system’. 

Synopsis Climate resilience, a focus of many recent studies, has been examined from ecological, physiological, and evolutionary perspectives. However, sampling biases toward adults, males, and certain species have made establishing the link between environmental change and population-level change problematic. Here, we used data from four laboratory studies, in which we administered pre- and postnatal stressors, such as suboptimal incubation temperature, heat stress, and food restriction, to zebra finches. We then quantified hatching success, posthatch survival, and reproductive success, to parameterize age-structured population dynamics models with the goal of estimating the effect of the stressors on relative population growth rates. Using the same model structure, we tested the hypothesis that early life stages influence population growth rate more than later life stages. Our models suggested that stressful events during embryonic development, such as suboptimal incubation temperatures and reduced gas exchange for the embryos, have a greater total impact on population growth than posthatch stressors, such as heat stress and food restriction. However, among life history traits, differences in hatching success and sex ratio of offspring in response to stressors changed population growth rates more than differences in any other demographic rate estimates. These results suggest that when predicting population resilience against climate change, it is critical to account for effects of climate change on all life stages, including early stages of life, and to incorporate individuals’ physiology and stress tolerance that likely influence future stress responses, reproduction, and survival. 

Consolidating multiple workloads on a single flash-based storage device is now a common practice. We identify a new problem related to lifetime management in such settings: how should one partition device resources among consolidated workloads such that their allowed contributions to the device's wear (resulting from their writes including hidden writes due to garbage collection) may be deemed fairly assigned? When flash is used as a cache/buffer, such fairness is important because it impacts what and how much traffic from various workloads may be serviced using flash which in turn affects their performance. We first clarify why the write attribution problem (i.e., which workload contributed how many writes) is non-trivial. We then present a technique for it inspired by the Shapley value, a classical concept from cooperative game theory, and demonstrate that it is accurate, fair, and feasible. We next consider how to treat an overall "write budget" (i.e., total allowable writes during a given time period) for the device as a first-class resource worthy of explicit management. Towards this, we propose a novel write budget allocation technique. Finally, we construct a dynamic lifetime management framework for consolidated devices by putting the above elements together. Our experiments using real-world workloads demonstrate that our write allocation and attribution techniques lead to performance fairness across consolidated workloads.