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Policy brief: Round goby – a threat or a new resource?
  • Language: en
  • Pages: 20

Policy brief: Round goby – a threat or a new resource?

Originating from the Ponto-Caspian region, the invasive round goby has since 1990 spread in the Baltic Sea region, now with established populations throughout the area. The fish is a strong competitor for food, shelter and nesting sites, and has a high tolerance towards a broad range of temperatures and salinities. In many places, it exerts negative effects on the local fish fauna and benthic community, and its presence may compromise descriptors of Good Environmental Status under the Marine Strategy Framework Directive. Furthermore, Marine protected areas, constructed to protect valuable and threatened species or habitats, may be compromised by its presence. Notably however, round goby is also an emerging prey for larger fish, marine mammals and birds, thus providing positive effects to the invaded ecosystems. In some areas, it also supports fisheries, adding positively to society.

The Life-cycle of Sandeel
  • Language: en

The Life-cycle of Sandeel

  • Type: Book
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  • Published: 2010
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  • Publisher: Unknown

None

DFU rapport
  • Language: da

DFU rapport

  • Type: Book
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  • Published: 2006
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  • Publisher: Unknown

None

Acta Ichthyologica Et Piscatoria
  • Language: en
  • Pages: 334

Acta Ichthyologica Et Piscatoria

  • Type: Book
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  • Published: 2007
  • -
  • Publisher: Unknown

None

Entomologiske meddelelser
  • Language: da
  • Pages: 478

Entomologiske meddelelser

  • Type: Book
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  • Published: 1978
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  • Publisher: Unknown

None

Spatial and Spatio-temporal Bayesian Models with R - INLA
  • Language: en
  • Pages: 322

Spatial and Spatio-temporal Bayesian Models with R - INLA

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations