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The Wildlife Observatory of Australia

aka  WildObs

Australia's new one-stop-shop for information on camera trap deployment, collation, and synthesis, in partnership with TERN

Background to WildObs

The Wildlife Observatory (aka WildObs) has one overarching goal: Equipping Australia to address our most pressing wildlife questions with robust data and analysis tools. For example, we were largely caught flatfooted when the megafires hit and had to scramble to initiate brand new projects to assess impacts and track recovery. In the future, we can be ready to resample existing long-term monitoring sites using a standardized protocol, avoiding a time lag between an unpredictable event and measurement of the effects on wildlife communities. Many terrestrial animals can be efficiently monitored with camera traps, and there is a government-funded organization already committed to hosting biodiversity survey data, the Terrestrial Ecosystem Research Network (TERN). There is a general consensus amongst researchers, stakeholders and landscape managers for a need to efficiently improve Australia's wildlife monitoring via camera trap standardization, data collation, and synthesis.

 

Therefore, the role of WildObs will be to: 

  1. establish TERN-approved manual for standardized repeatable cameras deployments

  2. promote the use of this new standard and data sharing with TERN

  3. host annual workshops to build trust and collaborations across Australia's many camera trapping organizations (and to listen and remedy any problems)

  4. provide robust easy-to-use analytical tools back to the data providers

Meet the leardership team

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Prof Glenda Wardle

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(U Sydney)

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Emma Spencer, PhD

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Co-founder, Chief Investigator (WWF, U Sydney)

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Matthew Luskin, PhD

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Founder, Chief Investigator (UQ)

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Paul Meek, PhD

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Co-founder, Cheif Investigator (NSW DPI)

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Guru Siddeswara, PhD

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Co-founder, Cheif Investigator (TERN)

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Tom Bruce, PhD

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Lead WildObs postdoc

  • Wet Tropics datasets

  • Review paper of Australian cam trapping

  • Invasive species 

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Zachary Amir

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ECL-WildObs PhD candidate at UQ

Lead for:

  • Multi-site multi-season detectability-corrected occupancy and abundance for all species

  • Basesian hierarchal models run via UQ supercomputer/HPC

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©2018 Matthew Luskin

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