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      End biodiversity loss through improved tracking of threatened invertebrates

      Research Group Ecological Modeling
      Resarch Environment Systems biology

      End biodiversity loss through improved tracking of threatened invertebrates

      Research Group Ecological Modeling
      Resarch Environment Systems biology

      Quick Facts

      Full project name

      End biodiversity loss through improved

      Duration

      April 2019 – March 2022

      Partners

      Zoological Research Museum Alexander Koenig, Germany.

      Financing

      FORMAS – young research leader.

      In today’s biodiversity crisis, there is an urgent need to monitor terrestrial and aquatic species in their natural habitats, especially those that may be endangered, invasive or elusive. Studies conducted within this project will lead to a new metod of tracking down threatened species, the results will be integrated into current monitoring programmes (e.g. red-listing) and action plans.

      In today’s biodiversity crisis, there is an urgent need to monitor terrestrial and aquatic species in their natural habitats, especially those that may be endangered, invasive or elusive.

      Collect population information

      Traditional species observation methods, based on acoustic or observational surveys are inefficient, costly and time consuming. On the other hand, DNA is continuously deposited in the environment from natural processes and this environmental DNA (eDNA) allows us to detect species and reconstruct their communities with a high level of sensitivity. These data can be used to obtain occurrence records and to collect more population information in field. Crucially, these data are necessary to inform management agencies about the current state of our biodiversity, and are especially urgent for species that are currently data deficient.

      Create new method to detect data deficient species  

      The aims of this study are to firstly identify occurrence records from diverse sources (databases, literature) and generate a database of distributional data for species of crustacean and mollusks that are data deficient in Sweden. Secondly, we aim to detect threatened species in Swedish marine, freshwater and terrestrial habitats using novel genomic methods (DNA metabarcoding, ddPCR).Finally, based on the new data, we will run species distribution and population models, to improve information on geographic range and population status for threatened invertebrates. The results will be integrated into current monitoring programmes (e.g. red-listing) and action plans.

      Project Leader

      Senior Lecturer in Bioscience

      Participating Researchers

      Partners and financing

      Zoological Research Museum Alexander Koenig
      Published: 1/10/2020
      Edited: 1/10/2020
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