2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

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5/25/2021  |   2:00 PM - 3:30 PM   |  MAPPING GLOBAL FRESHWATER INSECT BIODIVERSITY AT A FINE RESOLUTION   |  Virtual Platform

MAPPING GLOBAL FRESHWATER INSECT BIODIVERSITY AT A FINE RESOLUTION

Along with the ongoing decline in freshwater biodiversity emerges the urgent need to protect what is being threatened. The accurate mapping of global freshwater habitats and biodiversity at a fine resolution is fundamental for assessing their vulnerability and directing effective conservation planning. Our work is one of the first coordinated efforts to map freshwater habitats and capture the actual spatial patterns of aquatic biodiversity on a fine resolution, at the global extent. We are using a newly developed seamless, standardized stream network of 90m spatial resolution to model the potential genus distributions of four insect orders that are used as proxies for the overall state of freshwater biodiversity (Ephemeroptera, Plecoptera, Trichoptera and Odonata; EPTO). In this talk, we will explore the environmental and topographical variables that mostly influence EPTO distributions based on an extensive dataset of insect occurrence records and the Random Forest algorithm. The most relevant predictors will be used for mapping genus distributions using spatially explicit Species Distribution Models (SDM), taking into account the connectivity between basins. The output of these analyses will aid in indicating irreplaceable habitats worldwide under a novel freshwater-specific spatial conservation planning framework.

  • Big data
  • Data science
  • Machine learning

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Presenters/Authors

Afroditi Grigoropoulou (), IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, afroditi.grigoropoulou@igb-berlin.de;


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Jaime Ricardo García Márquez (), Leibniz-Institute of Freshwater Ecology and Inland Fisheries, marquez@igb-berlin.de;


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Sami Domisch (), Leibniz Institute of Freshwater Ecology and Inland Fisheries, domisch@igb-berlin.de;


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