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A Data-Validated Stoichiometric Model for the Priming Effect

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Abstract

Due to global warming, interest in sequestering carbon by appropriately managing soils has contributed to studying the dynamic exchange of carbon and nitrogen in soils and atmospheric CO\(_2\). The priming effect, or the intensified CO\(_2\) emissions from soil organic matter (SOM) decomposition in short periods by using labile substrates, has been a topic of interest over the last decades. A combination of two experimentally supported mechanisms explains the priming effect phenomenon, and for the first time, we combine them in a novel stoichiometric model. The model considers the effects of labile substrate utilization in soils during the SOM decomposition and how CO\(_2\) emissions rates are affected. Laboratory data and a local sensitivity analysis validate the accuracy and robustness of the model. We find an optimized ratio of labile carbon and nitrogen that intensifies SOM decomposition for different soil features. The priming effect is weakened as C/N in SOM increases for nutrient-poor soils and is independent of C/N in SOM for nutrient-rich soils. The time required for microorganisms to decompose SOM at its maximum rate is delayed only for labile carbon treatments and poor-nutrient soils but remains constant otherwise. Finally, the SOM degradation efficiency determines the priming effect’s acceleration or reduction under different soil treatments.

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References

  • Alijani MK, Wang H, Elser JJ (2015) Modeling the bacterial contribution to planktonic community respiration in the regulation of solar energy and nutrient availability. Ecol Complex 23:25–33

    Article  Google Scholar 

  • Beeckman F, Motte H, Beeckman T (2018) Nitrification in agricultural soils: impact, actors and mitigation. Current Opin Biotechnol 50:166–173

    Article  Google Scholar 

  • Bhatti J, Tarnocai C (2009) Influence of climate and land use change on carbon in agriculture, forest, and peatland ecosystems across Canada. Soil Carbon Sequestration Greenh Effect 57:47–70

    Google Scholar 

  • Blagodatskaya E, Kuzyakov Y (2008) Mechanisms of real and apparent priming effects and their dependence on soil microbial biomass and community structure: critical review. Biol Fertil Soils 45(2):115–131

    Article  Google Scholar 

  • Blagodatskaya E, Blagodatsky SA, Anderson TH et al (2007) Priming effects in chernozem induced by glucose and n in relation to microbial growth strategies. Appl Soil Ecol 37(1–2):95–105

    Article  Google Scholar 

  • Blagodatsky S, Blagodatskaya E, Yuyukina T et al (2010) Model of apparent and real priming effects: linking microbial activity with soil organic matter decomposition. Soil Biol Biochem 42(8):1275–1283

    Article  Google Scholar 

  • Chen R, Senbayram M, Blagodatsky S et al (2014) Soil C and N availability determine the priming effect: microbial N mining and stoichiometric decomposition theories. Global Change Biol 20(7):2356–2367

    Article  Google Scholar 

  • Craine JM, Morrow C, Fierer N (2007) Microbial nitrogen limitation increases decomposition. Ecology 88(8):2105–2113

    Article  Google Scholar 

  • Drake JE, Darby B, Giasson MA et al (2013) Stoichiometry constrains microbial response to root exudation-insights from a model and a field experiment in a temperate forest. Biogeosciences 10(2):821–838

    Article  Google Scholar 

  • Eppley RW, Rogers JN, McCarthy JJ (1969) Half-saturation constants for uptake of nitrate and ammonium by marine phytoplankton 1. Limnol Oceanogr 14(6):912–920

    Article  Google Scholar 

  • Falkowski P, Scholes R, Boyle E et al (2000) The global carbon cycle: a test of our knowledge of earth as a system. Science 290(5490):291–296

    Article  Google Scholar 

  • Fontaine S, Mariotti A, Abbadie L (2003) The priming effect of organic matter: a question of microbial competition? Soil Biol Biochem 35(6):837–843

    Article  Google Scholar 

  • Fontaine S, Hénault C, Aamor A et al (2011) Fungi mediate long term sequestration of carbon and nitrogen in soil through their priming effect. Soil Biol Biochem 43(1):86–96

    Article  Google Scholar 

  • Hessen DO, Ågren GI, Anderson TR et al (2004) Carbon sequestration in ecosystems: the role of stoichiometry. Ecology 85(5):1179–1192

    Article  Google Scholar 

  • Janssens I, Dieleman W, Luyssaert S et al (2010) Reduction of forest soil respiration in response to nitrogen deposition. Nature Geosci 3(5):315–322

    Article  Google Scholar 

  • Kong JD, Salceanu P, Wang H (2018) A stoichiometric organic matter decomposition model in a chemostat culture. J Math Biol 76(3):609–644

    Article  MathSciNet  MATH  Google Scholar 

  • Kuzyakov Y (2010) Priming effects: interactions between living and dead organic matter. Soil Biol Biochem 42(9):1363–1371

    Article  Google Scholar 

  • Kuzyakov Y, Friedel J, Stahr K (2000) Review of mechanisms and quantification of priming effects. Soil Biol Biochem 32(11–12):1485–1498

    Article  Google Scholar 

  • Lal R, Follett RF (2009) Soil carbon sequestration and the greenhouse effect, vol 57. ASA-CSSA-SSSA

  • Lawrence CR, Neff JC, Schimel JP (2009) Does adding microbial mechanisms of decomposition improve soil organic matter models? A comparison of four models using data from a pulsed rewetting experiment. Soil Biol Biochem 41(9):1923–1934

    Article  Google Scholar 

  • Manlay RJ, Feller C, Swift M (2007) Historical evolution of soil organic matter concepts and their relationships with the fertility and sustainability of cropping systems. Agric Ecosyst Environ 119(3–4):217–233

    Article  Google Scholar 

  • Martin JP (1971) Decomposition and binding action of polysaccharides in soil. Soil Biol Biochem 3(1):33–41

    Article  Google Scholar 

  • Moorhead DL, Sinsabaugh RL (2006) A theoretical model of litter decay and microbial interaction. Ecol Monogr 76(2):151–174

    Article  Google Scholar 

  • Neill C, Gignoux J (2006) Soil organic matter decomposition driven by microbial growth: a simple model for a complex network of interactions. Soil Biol Biochem 38(4):803–811

    Article  Google Scholar 

  • Smith OL (1982) Soil microbiology: a model of decomposition and nutrient cycling. CRC Press, Inc., Boca Raton

    Google Scholar 

  • Sterner RW, Elser JJ (2017) Ecological stoichiometry. Princeton University Press, Princeton

    Google Scholar 

  • Stotzky G (2000) Soil Biochemistry. In: Books in soils, plants, and the environment. CRC Press, 200, https://books.google.ca/books?id=VI9N7b16CRoC

  • Sylvia DM, Fuhrmann JJ, Hartel PG, et al (2005) Principles and applications of soil microbiology. QR111 S674 2005, Pearson

  • Tate RL (1995) Soil microbiology. Wiley, New York

    Google Scholar 

  • Wang H, Jiang L, Weitz JS (2009) Bacterivorous grazers facilitate organic matter decomposition: a stoichiometric modeling approach. FEMS Microbiol Ecol 69(2):170–179

    Article  Google Scholar 

  • Wang H, Sterner RW, Elser JJ (2012) On the strict homeostasis assumption in ecological stoichiometry. Ecol Modell 243:81–88

    Article  Google Scholar 

  • Wang H, Lu Z, Raghavan A (2018) Weak dynamical threshold for the strict homeostasis assumption in ecological stoichiometry. Ecol Modell 384:233–240

    Article  Google Scholar 

Download references

Acknowledgements

P Venegas Garcia was partially supported by El Consejo Nacional de Ciencia y Tecnologia (CONACYT #709985) and University of Alberta. H Wang was partially supported by Natural Sciences and Engineering Research Council of Canada (Collaborative Research and Development Grant, Individual Discovery Grant RGPIN-2020-03911, Discovery Accelerator Supplement Award RGPAS-2020-00090). This project was partially supported by Natural Sciences and Engineering Research Council of Canada (Collaborative Research and Development Grant).

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Venegas Garcia, P., Wang, H. A Data-Validated Stoichiometric Model for the Priming Effect. Bull Math Biol 85, 53 (2023). https://doi.org/10.1007/s11538-023-01160-5

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