Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient

In this study, we investigate the responses of soil organic carbon (C) to nitrogen (N) and phosphorus (P) additions along a soil P stock gradient of five beech forest stands in Germany, using a modeling approach. Two different soil models with coupled C, N, and P cycles are used to simulate fertiliz...

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Main Authors: Lin Yu, Bernhard Ahrens, Thomas Wutzler, Sönke Zaehle, Marion Schrumpf
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Forests and Global Change
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/ffgc.2020.543112/full
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spelling doaj-4c911221309149bbba9e6c2a0bc2b3462020-11-25T03:55:08ZengFrontiers Media S.A.Frontiers in Forests and Global Change2624-893X2020-10-01310.3389/ffgc.2020.543112543112Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock GradientLin YuBernhard AhrensThomas WutzlerSönke ZaehleMarion SchrumpfIn this study, we investigate the responses of soil organic carbon (C) to nitrogen (N) and phosphorus (P) additions along a soil P stock gradient of five beech forest stands in Germany, using a modeling approach. Two different soil models with coupled C, N, and P cycles are used to simulate fertilization experiments conducted at the study sites. The first model, the stand-alone soil module of QUINCY (QUINCY-soil, Thum et al., 2019), is a conventional soil model that uses first-order kinetics to describe soil organic matter (SOM) turnover and represents microbial biomass only implicitly. The second model, the Jena Soil Model (JSM) (Yu et al., 2020), is a novel microbial soil model, which explicitly simulates microbial dynamics and describes the turnover of SOM as the consequence of several interactive processes, such as microbially mediated depolymerization of litter and SOM, organo-mineral association, and vertical transport. We applied both site-level models to five study sites and compared the modeled soil profile with observations. In addition, model scenarios were conducted to simulate the fertilization of N and P, and we further evaluate the effect of soil P stock, plant litter quality, and SOM CNP stoichiometry, on the responses of soil (heterotrophic) respiration (Rs) to nutrient addition. We found that the fitness between simulated and observed SOM profiles (defined as normalized root mean square ratios, Knrmsr) were generally better in JSM than in QUINCY-soil (Knrmsr larger by 0.03 ± 0.10 to 0.16 ± 0.06 for various soil measurements at all sites); The general pattern of observed Rs responses to nutrient fertilization, that N addition decreases Rs whereas P addition increases it, can be reproduced by JSM but not by QUINCY-soil. Our results indicated that a detailed explicit description of microbial processes and organo-mineral association is required to model plant-soil-microbial interactions, thus to better reproduce SOM profiles and their responses to nutrient additions. It highlights the need to better represent these processes in future model developments.https://www.frontiersin.org/article/10.3389/ffgc.2020.543112/fullphosphorusnitrogenmicrobestoichiometrysoil models
collection DOAJ
language English
format Article
sources DOAJ
author Lin Yu
Bernhard Ahrens
Thomas Wutzler
Sönke Zaehle
Marion Schrumpf
spellingShingle Lin Yu
Bernhard Ahrens
Thomas Wutzler
Sönke Zaehle
Marion Schrumpf
Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient
Frontiers in Forests and Global Change
phosphorus
nitrogen
microbe
stoichiometry
soil models
author_facet Lin Yu
Bernhard Ahrens
Thomas Wutzler
Sönke Zaehle
Marion Schrumpf
author_sort Lin Yu
title Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient
title_short Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient
title_full Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient
title_fullStr Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient
title_full_unstemmed Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient
title_sort modeling soil responses to nitrogen and phosphorus fertilization along a soil phosphorus stock gradient
publisher Frontiers Media S.A.
series Frontiers in Forests and Global Change
issn 2624-893X
publishDate 2020-10-01
description In this study, we investigate the responses of soil organic carbon (C) to nitrogen (N) and phosphorus (P) additions along a soil P stock gradient of five beech forest stands in Germany, using a modeling approach. Two different soil models with coupled C, N, and P cycles are used to simulate fertilization experiments conducted at the study sites. The first model, the stand-alone soil module of QUINCY (QUINCY-soil, Thum et al., 2019), is a conventional soil model that uses first-order kinetics to describe soil organic matter (SOM) turnover and represents microbial biomass only implicitly. The second model, the Jena Soil Model (JSM) (Yu et al., 2020), is a novel microbial soil model, which explicitly simulates microbial dynamics and describes the turnover of SOM as the consequence of several interactive processes, such as microbially mediated depolymerization of litter and SOM, organo-mineral association, and vertical transport. We applied both site-level models to five study sites and compared the modeled soil profile with observations. In addition, model scenarios were conducted to simulate the fertilization of N and P, and we further evaluate the effect of soil P stock, plant litter quality, and SOM CNP stoichiometry, on the responses of soil (heterotrophic) respiration (Rs) to nutrient addition. We found that the fitness between simulated and observed SOM profiles (defined as normalized root mean square ratios, Knrmsr) were generally better in JSM than in QUINCY-soil (Knrmsr larger by 0.03 ± 0.10 to 0.16 ± 0.06 for various soil measurements at all sites); The general pattern of observed Rs responses to nutrient fertilization, that N addition decreases Rs whereas P addition increases it, can be reproduced by JSM but not by QUINCY-soil. Our results indicated that a detailed explicit description of microbial processes and organo-mineral association is required to model plant-soil-microbial interactions, thus to better reproduce SOM profiles and their responses to nutrient additions. It highlights the need to better represent these processes in future model developments.
topic phosphorus
nitrogen
microbe
stoichiometry
soil models
url https://www.frontiersin.org/article/10.3389/ffgc.2020.543112/full
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