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@GlobalEcologyFlinders

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RupertLovesEcology/README.md
  • 👋 Hi, I’m @RupertLovesEcology. I'm a freshwater ecologist with a special interest in creating decision support tools for conservation managers using existing datasets.
  • 👀 From a biotic persepctive, I’m interested in amphibians, freshwater fishes and environmental water. Analytically, I'm interested in population and community models, and decision support tools.
  • 🌱 I’m currently learning genetic algorithms for optimisation of agent-based, metapopulation models. Also learning dynamic multi-species occupancy models.
  • 💞️ I’m looking to collaborate on anything really. Reach out, lets talk : )
  • 📫 How to reach me [email protected]

Popular repositories Loading

  1. RiverRegulation_Frog_PopModel RiverRegulation_Frog_PopModel Public

    This code underpins the aspatial stochastic population model presented in the article "Modelling effects of water regulation on the population viability of threatened amphibians"

    R 1 3

  2. Data-Entry-Portal-Visual-Studio-VBA- Data-Entry-Portal-Visual-Studio-VBA- Public

    Working repository for a database front end for use in the field.

    Visual Basic

  3. Lraniformis-Metapopulation-model Lraniformis-Metapopulation-model Public

    This code and data underpin the publication "Stochastic metapopulation dynamics of a threatened amphibian to guide optimal water delivery"

    R 2

  4. Optimising-stochastic-metapopulation-model-in-a-multiuser-system Optimising-stochastic-metapopulation-model-in-a-multiuser-system Public

    This project uses a genetic sorting algorithm to optimise region-wide conservation for a threatened amphibian.

    R

  5. RupertLovesEcology RupertLovesEcology Public

    Config files for my GitHub profile.

  6. Sustainable-Harvest-L.raniformis Sustainable-Harvest-L.raniformis Public

    code and data to inform safe harvest strategies for Litoria raniformis for conservation. These analyses underpin the manuscript "Stochastic population models guide the sustainable wild harvest of a…

    R 1