Quantifying carbon fluxes from primary production to mesopelagic fish using a simple food web model

Quantifying carbon fluxes from primary production to mesopelagic fish using a simple food web model
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DOI:
10.1093/icesjms/fsx234
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发表时间:
2019-05-01
影响因子:
3.3
通讯作者:
Mayor, Daniel J.
Mayor, Daniel J.
中科院分区:
农林科学2区
文献类型:
--
作者:
Anderson, Thomas R.;Martin, Adrian P.;Mayor, Daniel J.

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利用基于生态系统的流动分析模型,研究了初级生产力(PP)通过三类桡足类向中上层鱼类的碳转移:接近下沉颗粒的有害食肉动物、垂直迁徙动物和居住在表层海洋中的物种。该模型在世界海洋S至北纬40度范围内进行了参数化处理,以便将结果与最近根据使用声学技术进行的实地研究对这一纬度范围内中上层鱼类生物量的估计进行比较,估计结果类似于13GT(湿重)。中上层鱼类产量预计为PP的0.32%,假设鱼类寿命为1.5年,则预测中上层鱼类生物量为2.4Gt。模型集合被用来分析这一估计的不确定性,结果显示只有8%的模拟预测了生物量&10GT。这项工作强调了迁徙动物在将碳从表层海洋转移到中层海洋地带的重要性。它还突显了人们对中上层鱼类的生理生态、中上层食物网内的营养途径以及这些途径如何与表层海洋中的PP联系在一起所知甚少。在充分评估利用中上层鱼类作为可捕捞资源的潜力之前,需要更深入地了解这些相互作用的因素。
An ecosystem-based flow analysis model was used to study carbon transfer from primary production (PP) to mesopelagic fish via three groups of copepods: detritivores that access sinking particles, vertical migrators, and species that reside in the surface ocean. The model was parameterized for 40 degrees S to 40 degrees N in the world ocean such that results can be compared with recent estimates of mesopelagic fish biomass in this latitudinal range, based on field studies using acoustic technologies, of similar to 13 Gt (wet weight). Mesopelagic fish production was predicted to be 0.32% of PP which, assuming fish longevity of 1.5 years, gives rise to predicted mesopelagic fish biomass of 2.4 Gt. Model ensembles were run to analyse the uncertainty of this estimate, with results showing predicted biomass >10 Gt in only 8% of the simulations. The work emphasizes the importance of migrating animals in transferring carbon from the surface ocean to the mesopelagic zone. It also highlights how little is known about the physiological ecology of mesopelagic fish, trophic pathways within the mesopelagic food web, and how these link to PP in the surface ocean. A deeper understanding of these interacting factors is required before the potential for utilizing mesopelagic fish as a harvestable resource can be robustly assessed.