Foraging Behavior of Benthic Fish as an Indicator of Ecosystem State in Shallow Lakes

Foraging Behavior of Benthic Fish as an Indicator of Ecosystem State in Shallow Lakes
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底栖鱼类的觅食行为作为浅湖生态系统状态的指标

DOI:
10.1560/ijee.53.3.407
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发表时间:
2007
期刊:
Israel Journal of Zoology
影响因子:
--
通讯作者:
Erika Nilsson
Erika Nilsson
中科院分区:
--
文献类型:
--
作者:
A. Persson;Erika Nilsson

文献摘要

被引文献

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在本文中,我们建议底栖鱼类的觅食行为可以用来评估浅水湖泊生态系统的现状。浅水湖泊可能会显示清晰和浑浊的状态之间的转变,底栖动物觅食的沉积物再悬浮在底栖无脊椎动物有助于维持浑浊的状态。我们认为,放弃密度(GUD)的底栖鱼类觅食在实验补丁可能提供有用的信息管理浅水湖泊生态系统。鱼类使沉积物再悬浮的速度是底栖鱼类和底栖无脊椎动物丰度的函数。基于觅食行为、栖息地质量和长期生长前景之间的经验关系,以及栖息地质量和沉积物再悬浮率之间的经验关系,我们得出结论,当(i)底栖生物生物量、最大底栖动物尺寸和放弃密度高,(ii)底栖动物生物量低,(iii)低比例的底栖动物种群高于根据尖端密度预测的最大底栖动物大小,并且当相对捕食成本高时,估计为风险和安全栖息地之间的GUD差异。虽然是第一步,这里介绍的方法应有助于预测生态系统状态之间的切换概率,以及确定适当的减排战略,以防止这种转变。(减)
In this paper we propose that the foraging behavior of benthic fish can be used to assess the current state of shallow lake ecosystems. Shallow lakes may display shifts between clear and turbid states, where sediment resuspension by benthivores foraging on benthic invertebrates contributes to maintaining the turbid state. We suggest that the giving-up density (GUD) of benthic fish foraging in experimental patches may provide useful information for managing shallow lake ecosystems. The rate of sediment resuspension by fish is a function of the abundance of both benthic fish and benthic invertebrates. Based on the empirical relationship between foraging behavior, habitat quality, and long-term growth prospects, and between habitat quality and rate of sediment resuspension, we conclude that systems should be more resistant to switches from a clear to a turbid state when (i) benthos biomass, maximum benthivore size, and giving up density are high, (ii) benthivore biomass is low, (iii) a low fraction of benthivore population is above the maximum benthivore size predicted from giving tip density, and when relative predation cost is high, estimated as the difference in GUD between risky and safe habitats. Although a first step, the methods introduced here should serve to facilitate predicting the probability of switching between ecosystem states, as well as to identify suitable abatement strategies for preventing such shifts. (Less)