Modelling the Rhizosphere Priming Effect in Combination with Soil FoodWebs to Quantify Interaction between Living Plant, Soil Biota and Soil Organic Matter

A model of rhizosphere priming effect under impact of root exudate input into rhizosphere soil was developed as an important process of the plant-soil interaction. The model was based on the concept of nitrogen (N) mining, compensating for the N scarcity in exudates for microbial growth by accelerating SOM mineralisation. In the model, N deficiency for microbial growth is covered (“mined”) by the increased SOM mineralisation depending on the C:N ratio of the soil and exudates. The new aspect in the model is a food web procedure, which calculates soil fauna feeding on microorganisms, the return of faunal by-products to SOM and mineral N production for root uptake. The model verification demonstrated similar magnitude of the priming effect in simulations as in the published experimental data. Model testing revealed high sensitivity of the simulation results to N content in exudates. Simulated CO2 emission from the priming can reach 10–40% of CO2 emission from the whole Ah horizon of boreal forest soil depending on root exudation rates. This modeling approach with including food web activity allows quantifying wider aspects of the priming effect functioning including ecologically important available N production.

Авторы
Chertov O.1 , Kuzyakov Y. 2, 3 , Priputina I.4 , Frolov P. 4 , Shanin V.4, 5 , Grabarnik P.4
Журнал
Издательство
MDPI AG
Номер выпуска
19
Язык
Английский
Страницы
2605
Статус
Опубликовано
Том
11
Год
2022
Организации
  • 1 Bingen University of Applied Sciences
  • 2 Georg-August-Universität Göttingen
  • 3 Agro-Technological Institute, RUDN University
  • 4 Institute of Physicochemical and Biological Problems in Soil Science
  • 5 Center for Forest Ecology and Productivity of the Russian Academy of Sciences
Ключевые слова
priming effect modelling; root exudates; rhizosphere interactions; nitrogen mining; soil food web; available nitrogen
Дата создания
28.12.2023
Дата изменения
28.12.2023
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/100468/
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