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首页> 外文期刊>Estuarine Coastal and Shelf Science >Modeling spatial patterns of limits to production of deposit-feeders and ectothermic predators in the northern Bering Sea
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Modeling spatial patterns of limits to production of deposit-feeders and ectothermic predators in the northern Bering Sea

机译：对白令海北部沉积物饲养者和地热掠食者的生产限制进行空间建模

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摘要

Network models can help generate testable predictions and more accurate projections of food web responses to environmental change. Such models depend on predator prey interactions throughout the network. When a predator currently consumes all of its prey's production, the prey's biomass may change substantially with loss of the predator or invasion by others. Conversely, if production of deposit-feeding prey is limited by organic matter inputs, system response may be predictable from models of primary production. For sea floor communities of shallow Arctic seas, increased temperature could lead to invasion or loss of predators, while reduced sea ice or change in wind-driven currents could alter organic matter inputs. Based on field data and models for three different sectors of the northern Bering Sea, we found a number of cases where all of a prey's production was consumed but the taxa involved varied among sectors. These differences appeared not to result from numerical responses of predators to abundance of preferred prey. Rather, they appeared driven by stochastic variations in relative biomass among taxa, due largely to abiotic conditions that affect colonization and early post-larval survival. Oscillatory tendencies of top-down versus bottom-up interactions may augment these variations. Required inputs of settling microalgae exceeded existing estimates of annual primary production by 50%; thus, assessing limits to bottom-up control depends on better corrections of satellite estimates to account for production throughout the water column. Our results suggest that in this Arctic system, stochastic abiotic conditions outweigh deterministic species interactions in food web responses to a varying environment. (C) 2014 Elsevier Ltd. All rights reserved.
机译：网络模型可以帮助生成可测试的预测，以及食物网对环境变化的更准确预测。这样的模型取决于整个网络中捕食者与猎物之间的相互作用。当捕食者当前消耗其所有猎物的生产量时，捕食者的生物量可能会随着捕食者的损失或被他人入侵而发生实质性变化。相反，如果存款喂养的猎物的生产受到有机物输入的限制，则系统响应可以通过初级生产模型来预测。对于北极浅海的海床群落，温度升高可能导致掠食者的入侵或损失，而减少的海冰或风力驱动的变化可能会改变有机物的输入。根据白令海北部三个不同地区的实地数据和模型，我们发现了许多情况，其中所有猎物的生产都被消耗掉了，但涉及的分类单元却有所不同。这些差异似乎不是由捕食者对大量偏好猎物的数字反应引起的。相反，它们似乎是由于分类单元之间相对生物量的随机变化而驱动的，这主要是由于非生物条件影响了定殖和幼体后早期存活。自上而下与自下而上的交互作用的振荡趋势可能会加剧这些差异。沉淀微藻所需的投入超过了年度初级产量的现有估计值50％；因此，评估自下而上控制的极限取决于对卫星估计值的更好校正，以考虑整个水柱的产量。我们的研究结果表明，在这种北极系统中，随机的非生物条件要比确定性物种在食物网对变化的环境响应中的相互作用更为重要。 （C）2014 Elsevier Ltd.保留所有权利。

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