Modeling diadromous fish loss from historical data: identification of anthropogenic drivers and testing of mitigation scenarios

HIGHLIGHTS

  • who: Marie-Line Merg and collaborators from the d'Histoire naturelle CP41, France, CNRS UMR, Campus Bridoux, Metz, France have published the Article: Modeling diadromous fish loss from historical data: Identification of anthropogenic drivers and testing of mitigation scenarios, in the Journal: PLOS ONE of December/19,/2019
  • what: The authors evaluated both the historical and current composition of diadromous fish assemblage throughout the metropolitan French hydrographic network, to identify the major factors associated with species loss in rivers and to evaluate different mitigation measures. To characterize the historical distribution of species, the authors focused . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?