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  • 标题:Habitat modelling limitations – Puck Bay, Baltic Sea – a case study
  • 本地全文:下载
  • 作者:Jan Marcin Węsławski ; Lucyna Kryla-Straszewska ; Joanna Piwowarczyk
  • 期刊名称:Oceanologia
  • 印刷版ISSN:0078-3234
  • 出版年度:2013
  • 卷号:55
  • 期号:1
  • 页码:1-17
  • DOI:10.5697/oc.55-1.167
  • 出版社:Elsevier B.V.
  • 摘要:The Natura 2000 sites and the Coastal Landscape Park in a shallow marine bay in the southern Baltic have been studied in detail for the distribution of benthic macroorganisms, species assemblages and seabed habitats. The relatively small Inner Puck Bay (104.8 km2) is one of the most thoroughly investigated marine areas in the Baltic: research has been carried out there continuously for over 50 years. Six physical parameters regarded as critically important for the marine benthos (depth, minimal temperature, maximum salinity, light, wave intensity and sediment type) were summarized on a GIS map showing unified patches of seabed and the near-bottom water conditions. The occurrence of uniform seabed forms is weakly correlated with the distributions of individual species or multi-species assemblages. This is partly explained by the characteristics of the local macrofauna, which is dominated by highly tolerant, eurytopic species with opportunistic strategies. The history and timing of the assemblage formation also explains this weak correlation. The distribution of assemblages formed by long-living, structural species (Zostera marina and other higher plants) shows the history of recovery following earlier disturbances. In the study area, these communities are still in the stage of recovery and recolonization, and their present distribution does not as yet match the distribution of the physical environmental conditions favourable to them. Our results show up the limitations of distribution modelling in coastal waters, where the history of anthropogenic disturbances can distort the picture of the present-day environmental control of biota distributions.
  • 关键词:Species distribution ; Seabed ; Habitat modelling ; Spatial and temporal boundaries ; Ecosystem-based management
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