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

ZHANG Chongliang; CHEN Yong; THOMPSON Katherine; REN Yiping

doi:10.1007/s13131-016-0822-0

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Article Navigation > Acta Oceanologica Sinica > 2016 > 35(4): 63-73

ZHANG Chongliang, CHEN Yong, THOMPSON Katherine, REN Yiping. Implementing a multispecies size-spectrum model in a data-poor ecosystem[J]. Acta Oceanologica Sinica, 2016, 35(4): 63-73. doi: 10.1007/s13131-016-0822-0

Citation:

ZHANG Chongliang, CHEN Yong, THOMPSON Katherine, REN Yiping. Implementing a multispecies size-spectrum model in a data-poor ecosystem[J]. Acta Oceanologica Sinica, 2016, 35(4): 63-73. doi: 10.1007/s13131-016-0822-0

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

doi: 10.1007/s13131-016-0822-0

1.
College of Fisheries, Ocean University of China, Qingdao 266003, China;School of Marine Sciences, University of Maine, Orono, Maine 04469, USA
2.
School of Marine Sciences, University of Maine, Orono, Maine 04469, USA
3.
College of Fisheries, Ocean University of China, Qingdao 266003, China

Received Date: 2015-05-19
Rev Recd Date: 2015-08-28

Abstract

Abstract

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.
- size-spectrum model,
- trophic interaction,
- data-poor,
- model parameterization,
- Haizhou Bay

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References(53)

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