Implementing a multispecies size-spectrum model in a data-poor ecosystem

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• 作者：Chongliang Zhang ; Yong Chen ; Katherine Thompson ; Yiping Ren
• 关键词：size ; spectrum model ; trophic interaction ; data ; poor ; model parameterization ; Haizhou Bay
• 刊名：Acta Oceanologica Sinica
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：35
• 期：4
• 页码：63-73
• 全文大小：843 KB
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• 作者单位：Chongliang Zhang (1) (2)
  Yong Chen (2)
  Katherine Thompson (2)
  Yiping Ren (1)
  
  1. College of Fisheries, Ocean University of China, Qingdao, 266003, China
  2. School of Marine Sciences, University of Maine, Orono, Maine, 04469, USA
  
• 刊物主题：Oceanography; Climatology; Ecology; Engineering Fluid Dynamics; Marine & Freshwater Sciences; Environmental Chemistry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1869-1099

文摘

Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size-spectrum models are one type of physiologically-structured ecological model that provide a feasible approach to describing fish communities in terms of individual dietary variation and ontogenetic niche shift. Despite the potential of ecological models in improving our understanding of ecosystems, their application is usually limited for data-poor fisheries. As a first step in implementing ecosystem-based fisheries management (EBFM), this study built a size-spectrum model for the fish community in the Haizhou Bay, China. We describe data collection procedures and model parameterization to facilitate the implementation of such size-spectrum models for future studies of data-poor ecosystems. The effects of fishing on the ecosystem were exemplified with a range of fishing effort and were monitored with a set of ecological indicators. Total community biomass, biodiversity index, W-statistic, LFI (Large fish index), MeanW (mean body weight) and Slope (slope of community size spectra) showed a strong non-linear pattern in response to fishing pressure, and largest fishing effort did not generate the most drastic responses in certain scenarios. We emphasize the value and feasibility of developing size-spectrum models to capture ecological dynamics and suggest limitations as well as potential for model improvement. This study aims to promote a wide use of this type of model in support of EBFM.