| Literature DB >> 35442650 |
Michael Gonsior1, Leanne Powers1, Madeline Lahm1, Shannon Leigh McCallister2.
Abstract
This perspective challenges our current understanding of the marine carbon cycle, including an alternative explanation of bulk 14C-DOM measurements. We propose the adoption of the carbon reactivity continuum concept previously established for lakes and sediments for the oceans using kinetic data and term this the marine DOM reactivity continuum. We need to gain a fundamental understanding of the biogeochemical drivers of surface water DOM concentrations and reactivity, biological carbon pump efficiency, and the autotrophic communities that are the ultimate but variable sources of marine DOM. This perspective is intended to shift our focus to a more inclusive kinetic model and may lead us to a more accurate assessment of the active and dynamic role marine DOM plays in the global carbon cycle. Currently, the kinetic data to establish and validate such a marine DOM reactivity continuum model are still lacking, and their resolution depends on the discovery of new organic tracers that span large differences in reactivity and microbial degradation rates. We may need to refocus our efforts in deciphering the structure and reactivity of marine organic molecules in a kinetic context, including the microbial and physicochemical constraints on molecular reactivity that are present in the deep ocean.Entities:
Keywords: kinetic model; marine DOM; organic tracers; reactivity continuum
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Year: 2022 PMID: 35442650 PMCID: PMC9069685 DOI: 10.1021/acs.est.1c08871
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 11.357
Figure 1Conceptual framework to develop the marine DOM reactivity continuum based on kinetic data of individual organic tracers and their determined and predicted degradation rates in the ocean. Examples for each category are provided; however, the list is by no means comprehensive.
Figure 2A: Hypothetical loss of individual compounds ([C]) over time (years) according to the reactivity continuum model, where line colors correspond to modeled (or hypothetical) decay coefficients. B: The dependency of k on different shape parameter values. Note: this hypothetical model has been initiated with an α value of 0.0588 yr–1 based on the published total dissolved amino acid (TDAA) decay rate and concentration at a 300 m depth at station Aloha, Pacific Ocean.[12]