Oxford University Press (OUP), Monthly Notices of the Royal Astronomical Society, 2019
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Abstract It remains a major challenge to derive a theory of cloud-scale ($\lesssim 100$ pc) star formation and feedback, describing how galaxies convert gas into stars as a function of the galactic environment. Progress has been hampered by a lack of robust empirical constraints on the giant molecular cloud (GMC) lifecycle. We address this problem by systematically applying a new statistical method for measuring the evolutionary timeline of the GMC lifecycle, star formation, and feedback to a sample of nine nearby disc galaxies, observed as part of the PHANGS-ALMA survey. We measure the spatially-resolved (∼100 pc) CO-to-Hα flux ratio and find a universal de-correlation between molecular gas and young stars on GMC scales, allowing us to quantify the underlying evolutionary timeline. GMC lifetimes are short, typically $10{-}30~{{\rm Myr}}$, and exhibit environmental variation, between and within galaxies. At kpc-scale molecular gas surface densities $Σ _{\rm H_2}\ge 8~\mbox{M$_\odot $}~{{\rm pc}}^{-2}$, the GMC lifetime correlates with time-scales for galactic dynamical processes, whereas at $Σ _{\rm H_2}\le 8~\mbox{M$_\odot $}~{{\rm pc}}^{-2}$ GMCs decouple from galactic dynamics and live for an internal dynamical time-scale. After a long inert phase without massive star formation traced by Hα (75 − 90 per cent of the cloud lifetime), GMCs disperse within just $1{-}5~{{\rm Myr}}$ once massive stars emerge. The dispersal is most likely due to early stellar feedback, causing GMCs to achieve integrated star formation efficiencies of 4 − 10 per cent. These results show that galactic star formation is governed by cloud-scale, environmentally-dependent, dynamical processes driving rapid evolutionary cycling. GMCs and H ii regions are the fundamental units undergoing these lifecycles, with mean separations of $100{-}300~{{\rm pc}}$ in star-forming discs. Future work should characterise the multi-scale physics and mass flows driving these lifecycles.