![]() ![]() The status of all owls is imperfectly known within the most suburban parts of the Sydney metropolitan area and on surrounding semi-rural properties. The Southern Boobook and the Barn Owl may be common in the region, but their distribution and abundance appears to have been under-represented by official records. The Grass Owl appears to be a rare vagrant to the Sydney region. The Barking Owl appears to be uncommon and of concern because this species is poorly conserved in national parks of the region and its habitat is threatened by continued clearing for agriculture and urban developments. The Sooty Owl and the Masked Owl are restricted to a few such locations near Sydney, but both are more common in the wetter and the drier forests, respectively, of the Central Coast. The Powerful Owl is widely distributed, albeit at very low population density, throughout the outer suburbs of the greater metropolitan area, particularly where these suburbs adjoin substantial areas of bushland and reserves. Information is also presented on aspects of the ecology (diet, habitat, nest sites, roost sites, breeding success) of these species in the Sydney region. Records made during the past decade have been compared, where possible, with records made since the beginning of the twentieth century. The distribution of records for the seven species of owls that have been recorded in the Sydney region are presented. The findings demonstrate that computational modelling can (1) inform more-than-human design and (2) guide scientific data collection for more inclusive ecosystem management. Outcomes establish techniques for urban-scale planning, site selection, tree-scale fitting, and nest-scale form-making. The tools include algorithmic mapping, 3D-scanning, generative modelling, digital fabrication and augmented-reality assembly. The proposed approach simulates owls' perception of the city based on scientific evidence. The case-study project tests this approach by applying computational modelling to the design of prosthetic habitats for the powerful owl (Ninox strenua). This paper hypothesises that a multi-scale modelling approach can support inclusive, more-than-human design. Established workflows for this type of designing do not exist. However, designing for the needs and preferences of nonhuman lifeforms is challenging. In many cases, artificial replacement habitats become necessary. Human construction activities destroy or damage habitats of non-human lifeforms. ![]() We also utilized real-time running re-training with a high speed camera and IMU’s to transfer his alignment training to running itself.Anthropogenic degradation of the environment is pervasive and expanding. This was a valuable step in “re-training” the neuromotor pathways with a high amount of feedback initially, followed by decreasing feedback with faster movements. We also utilized IMU’s for biofeedback during single leg alignment drills and a camera from the posterior perspective so that the client could see in real-time his pelvic drop, trunk lean, and hip adduction. We used EMG biofeedback with a progressive exercise program that included isometrics, strength training, and dynamic single leg alignment drills. We therefore started our treatment by focusing on EMG activation of the gluteal muscles. ![]()
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