Bird and bat populations in forests are affected by the stand management and climate change, both of which operate at large temporal and spatial scales. In France, birds and bats are not yet systematically tracked with standardised, replicable, and efficient technological means. We will establish a network of automated sound recorders over all RENECOFOR forest plots, located in mature forest stands dominated by single tree species to conduct passive acoustic monitoring of bird and bat vocalisations. We will quantify the sound detection spaces covered to standardise the data in space. The periodical audio recordings will be analysed by deep convolutional networks and random subsets of their species detections will be validated by taxonomic experts to standardise the results. The dataset will be used to analyse the effect of local vegetation phenology (ONF), micro-climate (task 3.2), regional climate change and landscape composition on flying vertebrate presence, activity, phenology, and density.