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Bridging the gap between small-scale high-resolution and large-scale low-resolution marine studies
Transcript of Bridging the gap between small-scale high-resolution and large-scale low-resolution marine studies
The University of Sydney, Australia
Bridging the gap between small scale high resolution and large scale low resolution marine studies
How to collect data at ecological relevant resolutions across management relevant extents???
Conservation challenges are best solved by a multidisciplinary approach
Case study Solitary Islands Marine Park, Australia: we used AUV imagery to investigate:
How structural complexity may explain benthic dynamics
How this relationship changes inside and outside different zones
The imagery was also used to reconstruct 3D models for outreach
Marine conservation planning is based on spatial models that predict species distributions
Models are based on data (useless w/out representativity of the area)
Best available data is collected in situ, BUT a few transects are NOT representative of a larger area
Remote sensing and ship swath mapping can cover large spatial extents, BUT at low resolution (not enough to learn about ecological processes or ecosystem trajectories)
marine ecology + robotics + computer vision
Autonomous Underwater Vehicles (AUV)
AUV can cover large areas
Computer vision can characterize benthic populations and measure habitat structural complexity at high-resolution
Marine ecology investigates spatial patterns of benthic organisms and how they relate to structural complexity across multiple scales
These data feeds management tools such as threat maps and species distribution models
4 sites x 6 plots (20 x 20 m)
x 50 images (1 x 1 m)
The gap between small and large scale surveys in marine ecology
High-resolution data at large-spatial extents improve spatial managent tools
Technology is here! <--> Images & robots
Real world problems need multidisciplinary approaches