Literature DB >> 24186459

Modeling the microbial food web.

H W Ducklow1.   

Abstract

Models of the microbial food web have their origin in the debate over the importance of bacteria as an energetic subsidy for higher trophic levels leading to harvestable fisheries. Conceptualization of the microbial food web preceded numerical models by 10-15 years. Pomeroy's work was central to both efforts. Elements necessary for informative and comprehensive models of microbial loops in plankton communities include coupled carbon and nitrogen flows utilizing a size-based approach to structuring and parameterizing the food web. Realistic formulation of nitrogen flows requires recognition that both nitrogenous and nonnitrogenous organic matter are important substrates for bacteria. Nitrogen regeneration driven by simple mass-specific excretion constants seems to overestimate the role of bacteria in the regeneration process. Quantitative assessment of the link-sink question, in which the original loop models are grounded, requires sophisticated analysis of size-based trophic structures. The effects of recycling complicate calculation of the link between bacteria or dissolved organic matter and mesozooplankton, and indirect effects show that the link might be much stronger than simple analyses have suggested. Examples drawn from a series of oceanic mixed layer plankton models are used to illustrate some of these points. Single-size class models related to traditional P-Z-N approaches are incapable of simulating bacterial biomass cycles in some locations (e.g., Bermuda) but appear to be adequate for more strongly seasonal regimes at higher latitudes.

Entities:  

Year:  1994        PMID: 24186459     DOI: 10.1007/BF00166822

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  4 in total

1.  Measurement of microbial activity and growth in the ocean by rates of stable ribonucleic Acid synthesis.

Authors:  D M Karl
Journal:  Appl Environ Microbiol       Date:  1979-11       Impact factor: 4.792

2.  Frequency of dividing cells, a new approach to the determination of bacterial growth rates in aquatic environments.

Authors:  A Hagström; U Larsson; P Hörstedt; S Normark
Journal:  Appl Environ Microbiol       Date:  1979-05       Impact factor: 4.792

3.  Bacterioplankton secondary production estimates for coastal waters of british columbia, antarctica, and california.

Authors:  J A Fuhrman; F Azam
Journal:  Appl Environ Microbiol       Date:  1980-06       Impact factor: 4.792

4.  The uptake of inorganic nutrients by heterotrophic bacteria.

Authors:  D L Kirchman
Journal:  Microb Ecol       Date:  1994-09       Impact factor: 4.552

  4 in total
  3 in total

1.  Modeling the microbial loop: An estuarine modeler's perspective.

Authors:  R L Wetzel
Journal:  Microb Ecol       Date:  1994-09       Impact factor: 4.552

2.  Aggregation and disaggregation of microbial food webs.

Authors:  R R Christian
Journal:  Microb Ecol       Date:  1994-09       Impact factor: 4.552

3.  Bacterial growth efficiency in a partly eutrophicated bay of South China Sea: Implication for anthropogenic impacts and potential hypoxia events.

Authors:  Xing-Yu Song; Hua-Xue Liu; Yu Zhong; Ye-Hui Tan; Geng Qin; Kai-Zhi Li; Ping-Ping Shen; Liang-Min Huang; You-Shao Wang
Journal:  Ecotoxicology       Date:  2015-05-30       Impact factor: 2.823

  3 in total

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