Organic matter DYnamic model (OMDY) predicts the wood debris decomposition of ten Mediterranean species

IF 3.9 2区 农林科学 Q1 AGRONOMY Plant and Soil Pub Date : 2025-01-07 DOI:10.1007/s11104-024-07143-2
Sabrina Spigno, Fabrizio Cartenì, Mohamed Idbella, Alfonso Piscitelli, Michele Staiano, Silvana Cangemi, Riccardo Spaccini, Stefano Mazzoleni, Giuliano Bonanomi, Francesco Giannino
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Abstract

Backgrounds and Aims

Forest litter is mainly composed by leaves, roots and wood debris (WD) residues. WD decomposition in Mediterranean ecosystems has received less attention compared to other materials and to boreal, tropical and temperate biomes. The OMDY model describes organic matter decomposition using 13C NMR spectroscopy.

Methods

The mass loss and the 13C NMR of ten mediterranean wood and shrub species were monitored for a long-term (5 years) experiment. The regularized generalized regression LASSO was used to select the NMR spectra regions more predictable for the WD decomposition. The OMDY model was applied to simulate the long-term decomposition experiment of ten mediterranean wood and shrub species.

Results

WD species, chemical composition and decomposition time significantly influenced the dynamics of the remaining mass during the decomposition. The NMR analysis revealed an increase in alkyl C and carbonyl C while a decrease in di-O-alkyl C and O-alkyl C. Pistacia lentiscus L. showed the highest decomposition, with a O-alkyl C declining and alkyl C rising. Erica arborea L. decomposed less, showing smaller decreases in O-alkyl C, lower alkyl C accumulation. The LASSO method identified three chemical regions as crucial for WD decomposition. The OMDY model, using as input these NMR molecular regions, demonstrated a high capacity to describe long-term WD decomposition.

Conclusions

The model is adaptable to describe the decomposition of wood. The results show that the model is general, as NMR can describe different materials' spectra and ordinary differential equations predict their reduction.

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有机质动态模型(OMDY)预测了10种地中海树种的木材碎片分解
背景与目的森林凋落物主要由叶、根和木屑(WD)残留物组成。与其他物质和北方、热带和温带生物群落相比,地中海生态系统中的WD分解受到的关注较少。OMDY模型使用13C核磁共振光谱描述有机物分解。方法长期(5年)监测地中海地区10种乔木和灌木的质量损失和13C核磁共振。采用正则化广义回归LASSO选择更可预测的NMR波谱区域进行WD分解。采用OMDY模型模拟了地中海地区10种乔灌木的长期分解试验。结果腐解过程中,腐解物种类、化学成分和分解时间对残留质量的动态变化有显著影响。核磁共振分析显示,烷基C和羰基C增加,二o -烷基C和o -烷基C减少,黄首木的分解率最高,o -烷基C下降,烷基C上升。Erica arborea L.分解较少,o -烷基C下降较小,烷基C积累较低。LASSO方法确定了三个对WD分解至关重要的化学区域。使用这些核磁共振分子区域作为输入的OMDY模型显示了描述长期WD分解的高能力。结论该模型适用于描述木材的分解过程。结果表明,该模型具有通用性,核磁共振可以描述不同物质的光谱,常微分方程可以预测其还原。
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来源期刊
Plant and Soil
Plant and Soil 农林科学-农艺学
CiteScore
8.20
自引率
8.20%
发文量
543
审稿时长
2.5 months
期刊介绍: Plant and Soil publishes original papers and review articles exploring the interface of plant biology and soil sciences, and that enhance our mechanistic understanding of plant-soil interactions. We focus on the interface of plant biology and soil sciences, and seek those manuscripts with a strong mechanistic component which develop and test hypotheses aimed at understanding underlying mechanisms of plant-soil interactions. Manuscripts can include both fundamental and applied aspects of mineral nutrition, plant water relations, symbiotic and pathogenic plant-microbe interactions, root anatomy and morphology, soil biology, ecology, agrochemistry and agrophysics, as long as they are hypothesis-driven and enhance our mechanistic understanding. Articles including a major molecular or modelling component also fall within the scope of the journal. All contributions appear in the English language, with consistent spelling, using either American or British English.
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