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Evaluating ecosystem structure and functioning of the East China sea shelf ecosystem, China

  • Yunkai Li
  • , Yong Chen
  • , Derek Olson
  • , Na Yu
  • , Liqiao Chen*
  • *Corresponding author for this work
  • East China Normal University
  • Shanghai Ocean University
  • University of Maine

Research output: Contribution to journalArticlepeer-review

Abstract

As China’s second-largest large marine ecosystem, the East China Sea Shelf has suffered from overfishing, eutrophication, and physical disturbance over the last several decades. A trophic mass-balance model of this ecosystem was developed in order to characterize the structure and functioning of its food web, to identify its keystone species, and to quantify the ecological impacts of fishing that it sustained during the early 2000s. Using a multivariate statistical analysis, we identified 38 functional groups for the trophic model, including fish and invertebrate groups targeted and not targeted by fisheries. Pelagic sharks and rays were identified as the keystone species in the ecosystem. Strong benthic–pelagic coupling was indicated in this ecosystem. In particular, this study highlighted the interdependent relationships that exist among plankton, benthic invertebrates, and detritus. Recent fishing activities were characterized by high exploitation rates for various commercially targeted and non-targeted species, leading to the removal of much of the ecosystem’s fishable production. Overall, our findings give a preliminary explanation of the current problems of eutrophication and fishery depletion and other changes in the East China Sea Shelf, and highlight the need for developing ecosystem-based fisheries management.

Original languageEnglish
Pages (from-to)331-351
Number of pages21
JournalHydrobiologia
Volume636
Issue number1
DOIs
StatePublished - 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • East China Sea Shelf
  • Ecopath with Ecosim
  • Fishing impact
  • Food web model
  • Keystone species
  • Network analysis

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