浮游细菌群落对胶状海洋浮游动物大量繁殖崩溃的反应及其对海洋营养平衡影响的动态种群建模

IF 3.8 3区 地球科学 Q1 OCEANOGRAPHY Progress in Oceanography Pub Date : 2024-07-18 DOI:10.1016/j.pocean.2024.103312
Filip Strniša , Tinkara Tinta , Gerhard J. Herndl , Gregor Kosec
{"title":"浮游细菌群落对胶状海洋浮游动物大量繁殖崩溃的反应及其对海洋营养平衡影响的动态种群建模","authors":"Filip Strniša ,&nbsp;Tinkara Tinta ,&nbsp;Gerhard J. Herndl ,&nbsp;Gregor Kosec","doi":"10.1016/j.pocean.2024.103312","DOIUrl":null,"url":null,"abstract":"<div><p>The diverse microbial community in the ocean, encompassing various metabolic types, interacts with the wide array of compounds in the dissolved organic matter (DOM) pool, thereby influencing the ocean’s biogeochemical state and, consequently, the global climate. Our understanding of the interactions between specific DOM constituents and microbial consortia remains limited, necessitating further refinement to achieve a mechanistic comprehension of the relationship between the DOM field and the microbial metabolic network. Attaining this level of understanding is crucial for accurately predicting the marine ecosystem’s response to natural and anthropogenic perturbations. To address this gap, we developed a bacterial population model based on the von Foerster equation. This model aims to describe the complex microbial-mediated degradation of gelatinous zooplankton (hereinafter ‘jellyfish’) detritus, as an important, but largely overlooked source of DOM in the ocean. By considering microbial growth and decay, as well as DOM uptake, and nutrient release, the model is able to describe the microbial community’s life cycle, and the biochemical transformations of the jellyfish-derived organic matter. We fitted the model to results of laboratory microcosm experiments conducted to simulate scenarios experienced by ambient microbiomes during decay of two different jellyfish species in the northern Adriatic Sea. By interpreting the fitted parameters, we highlight the differences in the microbial response to different jellyfish species, namely how these affect the microbial community composition and the release of nutrients. This model has been specifically designed for integration with ocean circulation models to create a comprehensive physical-biogeochemical ocean model. Such an extended model can be utilized for multi-scale simulations to assess the system’s response to jellyfish and jellyfish-derived organic matter. Given that jellyfish blooms may become more prevalent under future ocean scenarios, this modeling approach is essential for understanding their potential impact on marine ecosystems.</p></div>","PeriodicalId":20620,"journal":{"name":"Progress in Oceanography","volume":"227 ","pages":"Article 103312"},"PeriodicalIF":3.8000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0079661124001186/pdfft?md5=fef5384c0dcfb18661850914afd16299&pid=1-s2.0-S0079661124001186-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Dynamic population modeling of bacterioplankton community response to gelatinous marine zooplankton bloom collapse and its impact on marine nutrient balance\",\"authors\":\"Filip Strniša ,&nbsp;Tinkara Tinta ,&nbsp;Gerhard J. Herndl ,&nbsp;Gregor Kosec\",\"doi\":\"10.1016/j.pocean.2024.103312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The diverse microbial community in the ocean, encompassing various metabolic types, interacts with the wide array of compounds in the dissolved organic matter (DOM) pool, thereby influencing the ocean’s biogeochemical state and, consequently, the global climate. Our understanding of the interactions between specific DOM constituents and microbial consortia remains limited, necessitating further refinement to achieve a mechanistic comprehension of the relationship between the DOM field and the microbial metabolic network. Attaining this level of understanding is crucial for accurately predicting the marine ecosystem’s response to natural and anthropogenic perturbations. To address this gap, we developed a bacterial population model based on the von Foerster equation. This model aims to describe the complex microbial-mediated degradation of gelatinous zooplankton (hereinafter ‘jellyfish’) detritus, as an important, but largely overlooked source of DOM in the ocean. By considering microbial growth and decay, as well as DOM uptake, and nutrient release, the model is able to describe the microbial community’s life cycle, and the biochemical transformations of the jellyfish-derived organic matter. We fitted the model to results of laboratory microcosm experiments conducted to simulate scenarios experienced by ambient microbiomes during decay of two different jellyfish species in the northern Adriatic Sea. By interpreting the fitted parameters, we highlight the differences in the microbial response to different jellyfish species, namely how these affect the microbial community composition and the release of nutrients. This model has been specifically designed for integration with ocean circulation models to create a comprehensive physical-biogeochemical ocean model. Such an extended model can be utilized for multi-scale simulations to assess the system’s response to jellyfish and jellyfish-derived organic matter. Given that jellyfish blooms may become more prevalent under future ocean scenarios, this modeling approach is essential for understanding their potential impact on marine ecosystems.</p></div>\",\"PeriodicalId\":20620,\"journal\":{\"name\":\"Progress in Oceanography\",\"volume\":\"227 \",\"pages\":\"Article 103312\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0079661124001186/pdfft?md5=fef5384c0dcfb18661850914afd16299&pid=1-s2.0-S0079661124001186-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Oceanography\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0079661124001186\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OCEANOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Oceanography","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079661124001186","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

海洋中的微生物群落多种多样,包括各种代谢类型,它们与溶解有机物(DOM)池中的各种化合物相互作用,从而影响海洋的生物地球化学状态,进而影响全球气候。我们对特定溶解有机物成分和微生物群之间相互作用的了解仍然有限,需要进一步完善,才能从机理上理解溶解有机物领域和微生物代谢网络之间的关系。要准确预测海洋生态系统对自然和人为扰动的反应,获得这种程度的理解至关重要。为了填补这一空白,我们开发了基于 von Foerster 方程的细菌种群模型。该模型旨在描述复杂的微生物介导的胶状浮游动物(以下简称 "水母")残骸降解过程,这是海洋中重要的、但在很大程度上被忽视的 DOM 来源。通过考虑微生物的生长和衰变、DOM 吸收和营养物质释放,该模型能够描述微生物群落的生命周期以及水母有机物的生化转化。我们将该模型与实验室微宇宙实验结果进行了拟合,以模拟亚得里亚海北部两种不同水母物种腐烂过程中环境微生物群落所经历的情景。通过解释拟合参数,我们强调了微生物对不同水母物种反应的差异,即这些差异如何影响微生物群落的组成和营养物质的释放。该模型专门设计用于与海洋环流模型集成,以创建一个综合的物理-生物地球化学海洋模型。这种扩展模型可用于多尺度模拟,以评估系统对水母和水母衍生有机物的反应。鉴于在未来的海洋情况下,水母水华可能会变得更加普遍,这种建模方法对于了解水母水华对海洋生态系统的潜在影响至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Dynamic population modeling of bacterioplankton community response to gelatinous marine zooplankton bloom collapse and its impact on marine nutrient balance

The diverse microbial community in the ocean, encompassing various metabolic types, interacts with the wide array of compounds in the dissolved organic matter (DOM) pool, thereby influencing the ocean’s biogeochemical state and, consequently, the global climate. Our understanding of the interactions between specific DOM constituents and microbial consortia remains limited, necessitating further refinement to achieve a mechanistic comprehension of the relationship between the DOM field and the microbial metabolic network. Attaining this level of understanding is crucial for accurately predicting the marine ecosystem’s response to natural and anthropogenic perturbations. To address this gap, we developed a bacterial population model based on the von Foerster equation. This model aims to describe the complex microbial-mediated degradation of gelatinous zooplankton (hereinafter ‘jellyfish’) detritus, as an important, but largely overlooked source of DOM in the ocean. By considering microbial growth and decay, as well as DOM uptake, and nutrient release, the model is able to describe the microbial community’s life cycle, and the biochemical transformations of the jellyfish-derived organic matter. We fitted the model to results of laboratory microcosm experiments conducted to simulate scenarios experienced by ambient microbiomes during decay of two different jellyfish species in the northern Adriatic Sea. By interpreting the fitted parameters, we highlight the differences in the microbial response to different jellyfish species, namely how these affect the microbial community composition and the release of nutrients. This model has been specifically designed for integration with ocean circulation models to create a comprehensive physical-biogeochemical ocean model. Such an extended model can be utilized for multi-scale simulations to assess the system’s response to jellyfish and jellyfish-derived organic matter. Given that jellyfish blooms may become more prevalent under future ocean scenarios, this modeling approach is essential for understanding their potential impact on marine ecosystems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Progress in Oceanography
Progress in Oceanography 地学-海洋学
CiteScore
7.20
自引率
4.90%
发文量
138
审稿时长
3 months
期刊介绍: Progress in Oceanography publishes the longer, more comprehensive papers that most oceanographers feel are necessary, on occasion, to do justice to their work. Contributions are generally either a review of an aspect of oceanography or a treatise on an expanding oceanographic subject. The articles cover the entire spectrum of disciplines within the science of oceanography. Occasionally volumes are devoted to collections of papers and conference proceedings of exceptional interest. Essential reading for all oceanographers.
期刊最新文献
Perspectives on Northern Gulf of Alaska salinity field structure, freshwater pathways, and controlling mechanisms Seasonal variations of the cold intermediate layer on the Newfoundland and Labrador Shelf Changes in prey-predator interactions in an Arctic food web under climate change Reduced phytoplankton biomass in a subtropical plume-upwelling system induced by typhoons Bailu and Podul C:N stoichiometry and the fate of organic carbon in ecosystems of the northwest Pacific Ocean
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1