MiPrime:微生物介导的有机添加剂对可测量的土壤有机碳组分的影响及相关诱导效应模型

IF 9.8 1区 农林科学 Q1 SOIL SCIENCE Soil Biology & Biochemistry Pub Date : 2024-10-18 DOI:10.1016/j.soilbio.2024.109618
D.D. Kok , L. Scherer , W. de Vries , P.M. van Bodegom
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引用次数: 0

摘要

引导效应会影响有机添加剂在土壤中固碳的效率。然而,目前很少有土壤模型包含启动效应。那些包含引诱效应的模型通常基于操作定义的土壤池,并且隐含地只允许正引诱效应。这就限制了模型过程与实验数据的验证,阻碍了我们固碳策略的优化。为了解决这些不足,我们开发了 MiPrime,它提供了一个框架,用于从机理上模拟有机改良剂对微生物介导的碳组分转化的影响,这些碳组分可通过简便的土壤提取方法进行量化。MiPrime 可通过模拟土壤外源(即有机改良剂衍生)和内源(即土壤)池中矿化碳、微生物生物量、可溶解碳、热水提取碳和不溶解碳组分的变化,评估有机改良剂对土壤碳动态的影响,包括启动效应。利用马尔可夫链蒙特卡洛方法对三种同位素标记的路边草(一种鲜草产品、一种堆肥产品和一种 Bokashi 发酵产品)的培养数据进行模型参数校准后,MiPrime 能够非常准确地模拟五种成分复杂的有机改良剂(即三种路边草以及非同位素标记的木屑、水草和芦苇)在土壤中碳组分的变化。用实验数据对模型结果进行验证表明,总碳量的变化得到了很好的预测,但在预测矿化率以及土壤内源库中可溶解碳、热水提取碳和不溶解碳组分的变化方面仍有改进余地。因此,MiPrime 为建立有机改良剂对可测量土壤碳组分影响的机理模型迈出了第一步,可作为设计有效固碳战略和了解有机改良剂影响的新工具。
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MiPrime: A model for the microbially mediated impacts of organic amendments on measurable soil organic carbon fractions and associated priming effects
Priming effects can influence the efficiency with which organic amendments sequester carbon in the soil. Yet, few soil models currently include priming effects. Those models that do are often based on operationally defined soil pools and implicitly allow only for positive priming effects. This limits the verification of model processes with experimental data and hinders the optimization of our carbon sequestration strategies. To address these shortcomings, we developed MiPrime, which offers a framework for the mechanistic modelling of organic amendment impacts on microbially mediated transformation of carbon fractions that are quantifiable through parsimonious soil extraction methods. MiPrime allows for assessment of organic amendment impacts on soil carbon dynamics, including priming effects, by simulating changes in mineralized, microbial biomass, dissolvable, hot water extractable and insoluble carbon fractions in soil exogenous (i.e. organic amendment-derived) and endogenous (i.e. soil) pools. After calibration of model parameters using Markov Chain Monte Carlo methods to incubation data of three types of isotopically labelled roadside grasses (a fresh grass product, a compost thereof, and a Bokashi-fermented product thereof), MiPrime was able to simulate changes in carbon fractions of the soil with a good degree of accuracy for five compositionally complex organic amendments, namely the three types of roadside grasses, as well as non-isotopically labelled wood chips and water weeds and reeds. Validation of the model results with experimental data demonstrates that changes in total carbon were very well predicted but that there is room for improvement in predicting mineralization rates and changes in dissolvable, hot water extractable and insoluble carbon fractions in the soil endogenous pool. MiPrime thus offers an initial step towards the mechanistic modelling of organic amendment impacts on measurable soil carbon fractions and can operate as a new tool for designing effective carbon sequestration strategies and understanding organic amendment impacts.
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来源期刊
Soil Biology & Biochemistry
Soil Biology & Biochemistry 农林科学-土壤科学
CiteScore
16.90
自引率
9.30%
发文量
312
审稿时长
49 days
期刊介绍: Soil Biology & Biochemistry publishes original research articles of international significance focusing on biological processes in soil and their applications to soil and environmental quality. Major topics include the ecology and biochemical processes of soil organisms, their effects on the environment, and interactions with plants. The journal also welcomes state-of-the-art reviews and discussions on contemporary research in soil biology and biochemistry.
期刊最新文献
Corrigendum to “Input of high-quality litter reduces soil carbon losses due to priming in a subtropical pine forest” [Soil Biology and Biochemistry 194 (2024) 109444] Temperature-dependent soil storage: changes in microbial viability and respiration in semiarid grasslands The need to update and refine concepts relating to mineral-associated organic matter saturation in soil Editorial Board Are there links between nutrient inputs and the response of microbial carbon use efficiency or soil organic carbon? A meta-analysis
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