Ecosystem-based management is the dominant paradigm for species-rich, but data-poor coral reef fisheries. But its operationalisation is hindered by a lack of information on the natural organisation of coral reefs as determined by distinct
biophysical processes operating across scales in space and time, and therefore how that organisation is affected by local human impacts. Understanding how natural and human drivers interact to determine ecological organisation is critical to the
local, context specific and spatially explicit application of ecosystem assessments for management, such as prioritizing management areas based on recovery potential and degree of depletion from an unimpacted baseline state. FISHSCALE
not only addresses that knowledge gap, but for the first time uses a unique natural experiment of unprecedented scale with a novel combination of trait-based approaches and high-resolution oceanographic modelling to reveal the relative
influence of interacting biophysical environmental drivers and local human impacts on the functional structure of reef-fish communities across scales (from reefs to regional). Using existing multidisciplinary data spanning 45° of latitude and 65° of
longitude across 39 central western Pacific islands, this project will use predictive models to identify the natural biophysical mechanisms that best explain the spatial variation of reef-fish functional diversity across scales. It will then model how local human impacts disrupt those biophysical relationships, and explicitly quantify the relative impact of different human disturbances (from fishing to coastal development). Collectively, the results of FISHSCALE will advance our capacity to
predict spatial patterns in the structure of reef-fish communities, providing insight into relative ecosystem health and stability, and therefore advance the science underpinning ecosystem-based management of data poor coral reef systems.
This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 844213.