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Predicting Consumer Biomass Size-Structure Production Catch Potential Responses to Fishing and Associated Uncertainties in the World’s Marine Ecosystems

机译:预测世界海洋生态系统中的消费者生物量规模结构产量捕捞潜力对捕鱼的反应以及相关的不确定性

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摘要

Existing estimates of fish and consumer biomass in the world’s oceans are disparate. This creates uncertainty about the roles of fish and other consumers in biogeochemical cycles and ecosystem processes, the extent of human and environmental impacts and fishery potential. We develop and use a size-based macroecological model to assess the effects of parameter uncertainty on predicted consumer biomass, production and distribution. Resulting uncertainty is large (e.g. median global biomass 4.9 billion tonnes for consumers weighing 1 g to 1000 kg; 50% uncertainty intervals of 2 to 10.4 billion tonnes; 90% uncertainty intervals of 0.3 to 26.1 billion tonnes) and driven primarily by uncertainty in trophic transfer efficiency and its relationship with predator-prey body mass ratios. Even the upper uncertainty intervals for global predictions of consumer biomass demonstrate the remarkable scarcity of marine consumers, with less than one part in 30 million by volume of the global oceans comprising tissue of macroscopic animals. Thus the apparently high densities of marine life seen in surface and coastal waters and frequently visited abundance hotspots will likely give many in society a false impression of the abundance of marine animals. Unexploited baseline biomass predictions from the simple macroecological model were used to calibrate a more complex size- and trait-based model to estimate fisheries yield and impacts. Yields are highly dependent on baseline biomass and fisheries selectivity. Predicted global sustainable fisheries yield increases ≈4 fold when smaller individuals (< 20 cm from species of maximum mass < 1kg) are targeted in all oceans, but the predicted yields would rarely be accessible in practice and this fishing strategy leads to the collapse of larger species if fishing mortality rates on different size classes cannot be decoupled. Our analyses show that models with minimal parameter demands that are based on a few established ecological principles can support equitable analysis and comparison of diverse ecosystems. The analyses provide insights into the effects of parameter uncertainty on global biomass and production estimates, which have yet to be achieved with complex models, and will therefore help to highlight priorities for future research and data collection. However, the focus on simple model structures and global processes means that non-phytoplankton primary production and several groups, structures and processes of ecological and conservation interest are not represented. Consequently, our simple models become increasingly less useful than more complex alternatives when addressing questions about food web structure and function, biodiversity, resilience and human impacts at smaller scales and for areas closer to coasts.
机译:关于世界海洋中鱼类和消费者生物量的现有估计是完全不同的。这给鱼类和其他消费者在生物地球化学循环和生态系统过程中的作用,对人类和环境的影响程度以及渔业潜力造成不确定性。我们开发并使用基于大小的宏观生态模型来评估参数不确定性对预测的消费者生物量,生产和分布的影响。产生的不确定性很大(例如,全球生物量中值49亿吨,重量在1克至1000千克之间的消费者;不确定性区间为2至104亿吨;不确定性区间为90%,在0.3至261亿吨之间),并且主要是由营养性不确定性驱动的转移效率及其与捕食者-被捕者体重比的关系。甚至对全球消费者生物量预测的不确定性上限也显示出海洋消费者的显着稀缺,在构成宏观动物组织的全球海洋中,按体积计,三千万分之一不到。因此,在地表和沿海水域中经常看到的海洋生物的高密度以及经常参观的丰富的热点地区,很可能给社会上许多人对丰富的海洋动物的印象。从简单的宏观生态模型得出的未利用的基线生物量预测值用于校准更为复杂的基于大小和性状的模型,以估计渔业产量和影响。产量高度依赖于基线生物量和渔业选择性。当在所有海洋中针对较小个体(距最大质量小于1kg的物种<20厘米)作为目标时,全球可持续渔业的预测产量将增加约4倍,但实践中几乎无法获得预测的产量,而且这种捕捞策略导致更大面积的渔业崩溃如果无法区分不同规模类别的捕捞死亡率,则无法确定物种。我们的分析表明,基于一些已建立的生态学原理的具有最小参数需求的模型可以支持对各种生态系统的公平分析和比较。这些分析提供了参数不确定性对全球生物量和产量估计值的影响的见解,而这尚需借助复杂的模型才能实现,因此将有助于突出显示未来研究和数据收集的重点。然而,对简单模型结构和全球过程的关注意味着非浮游植物的初级生产以及生态和保护利益的若干群体,结构和过程没有得到体现。因此,在解决有关食物网的结构和功能,生物多样性,适应力和人类影响的问题时,我们的简单模型在较小规模上以及更靠近海岸的地区变得越来越不实用。

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  • 年(卷),期 -1(10),7
  • 年度 -1
  • 页码 e0133794
  • 总页数 28
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