{"title":"Studying the temporal bias of the steady-state approximation of 234Th-derived carbon export during phytoplankton blooms","authors":"Mingxian Guo, Peng Xiu, Kuanbo Zhou","doi":"10.3389/fmars.2025.1554932","DOIUrl":null,"url":null,"abstract":"The <jats:sup>234</jats:sup>Th–<jats:sup>238</jats:sup>U pair technique is widely used in estimating particulate organic carbon (POC) flux, typically with a steady-state (SS) assumption. There is often a temporal bias between the SS-derived and actual POC fluxes caused by neglecting the temporal change in <jats:sup>234</jats:sup>Th. However, this temporal bias has not been fully investigated due to the lack of continuous sampling of <jats:sup>234</jats:sup>Th profiles and sediment traps. Here, we develop a radioactive trace model of <jats:sup>234</jats:sup>Th built on a physical–biogeochemical model to simulate the scavenging of <jats:sup>234</jats:sup>Th in the water column by POC sinking processes at the South East Asia time series (SEATS) site. The seasonal patterns of the <jats:sup>234</jats:sup>Th profiles simulated by the model generally compared well with <jats:italic>in situ</jats:italic> observations. Analysis based on the model simulation suggests that the temporal bias can be depicted and reproduced in a simplified <jats:sup>234</jats:sup>Th continuity equation. By obtaining an analytical solution for the SS-derived POC flux from the simplified <jats:sup>234</jats:sup>Th equation, we found that the temporal bias results from the phase difference in time between the SS-derived and direct sinking POC fluxes. To provide a method that does not need repeated samplings to reduce this temporal bias for <jats:italic>in situ</jats:italic> observations, a modification term was constructed for the SS-derived POC flux from the analytical solution. Applying this term to the data obtained at the Bermuda Atlantic time series and SEATS reduced the bias by up to 67% and 34%, respectively. This study provides a feasible way to improve <jats:sup>234</jats:sup>Th-derived POC flux under the SS assumption.","PeriodicalId":12479,"journal":{"name":"Frontiers in Marine Science","volume":"73 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Marine Science","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3389/fmars.2025.1554932","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MARINE & FRESHWATER BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The 234Th–238U pair technique is widely used in estimating particulate organic carbon (POC) flux, typically with a steady-state (SS) assumption. There is often a temporal bias between the SS-derived and actual POC fluxes caused by neglecting the temporal change in 234Th. However, this temporal bias has not been fully investigated due to the lack of continuous sampling of 234Th profiles and sediment traps. Here, we develop a radioactive trace model of 234Th built on a physical–biogeochemical model to simulate the scavenging of 234Th in the water column by POC sinking processes at the South East Asia time series (SEATS) site. The seasonal patterns of the 234Th profiles simulated by the model generally compared well with in situ observations. Analysis based on the model simulation suggests that the temporal bias can be depicted and reproduced in a simplified 234Th continuity equation. By obtaining an analytical solution for the SS-derived POC flux from the simplified 234Th equation, we found that the temporal bias results from the phase difference in time between the SS-derived and direct sinking POC fluxes. To provide a method that does not need repeated samplings to reduce this temporal bias for in situ observations, a modification term was constructed for the SS-derived POC flux from the analytical solution. Applying this term to the data obtained at the Bermuda Atlantic time series and SEATS reduced the bias by up to 67% and 34%, respectively. This study provides a feasible way to improve 234Th-derived POC flux under the SS assumption.
期刊介绍:
Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide.
With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.