| 数据稀缺生态系统中多种类质量谱模型的构建 |
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| 引用本文： | 张崇良,陈勇,THOMPSON Katherine,任一平.数据稀缺生态系统中多种类质量谱模型的构建[J].海洋学报(英文版),2016,35(4):63-73. |
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| 作者姓名： | 张崇良 陈勇 THOMPSON Katherine 任一平 |
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| 作者单位： | 中国海洋大学, 水产学院, 青岛, 中国 266003;美国缅因大学, 海洋科学学院, 奥罗诺, 美国 缅因州 04469,美国缅因大学, 海洋科学学院, 奥罗诺, 美国 缅因州 04469,美国缅因大学, 海洋科学学院, 奥罗诺, 美国 缅因州 04469,中国海洋大学, 水产学院, 青岛, 中国 266003 |
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| 基金项目： | The Special Fund for Agriscientific Research in the Public Interest under contract No.201303050; the Fundamental Research Funds for the Central Universities under contract Nos 201022001 and 201262004. |
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| 摘 要： | 多种类生态模型已经被广泛应用于渔业活动影响应预测和管理措施效果评估。质量谱模型是一种基于生理过程构建的生态模型,该模型为描述鱼类群落在个体摄食变异和随个体发生的生态位迁移提供了一个可行的方法。尽管生态模型在增进生态系统认识上具有重要意义,其应用在数据稀缺的渔业中受到很大限制。作为实践基于生态系统渔业管理(EBFM)的第一步,本研究构建了海州湾鱼类群落的质量谱模型。本研究详述了数据收集和模型参数化的过程,以促进该模型在数据稀缺的生态系统中未来的应用。作为一个范例,研究展示了不同捕捞努力量对生态系统的影响,并采用一套生态指标监测其动态。群落生物量、多样性指数、W指数,大鱼指数(LFI),平均体重和群落质量谱斜率对捕捞压力的响应呈非线性,最大的捕捞强度并非总是对鱼类群落产生最强的影响。本文强调了构建谱模型在生态研究中的的价值和可行性,并讨论了模型的局限性和改进的可能。本研究旨在促进质量谱模型的广泛应用以更好地支持基于生态系统的渔业管理。
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| 关 键 词： | 质量谱模型 营养交互 数据稀缺 参数化 海州湾 |
| 收稿时间： | 2015/5/19 0:00:00 |
| 修稿时间： | 2015/8/28 0:00:00 |
Implementing a multispecies size-spectrum model in a data-poor ecosystem |
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| ZHANG Chongliang,CHEN Yong,THOMPSON Katherine and REN Yiping.Implementing a multispecies size-spectrum model in a data-poor ecosystem[J].Acta Oceanologica Sinica,2016,35(4):63-73. |
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| Authors: | ZHANG Chongliang CHEN Yong THOMPSON Katherine and REN Yiping |
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| Institution: | 1.College of Fisheries, Ocean University of China, Qingdao 266003, China;School of Marine Sciences, University of Maine, Orono, Maine 04469, USA2.School of Marine Sciences, University of Maine, Orono, Maine 04469, USA3.College of Fisheries, Ocean University of China, Qingdao 266003, China |
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| 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. |
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| Keywords: | size-spectrum model trophic interaction data-poor model parameterization Haizhou Bay |
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