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
Sabrina Spigno, Fabrizio Cartenì, Mohamed Idbella, Alfonso Piscitelli, Michele Staiano, Silvana Cangemi, Riccardo Spaccini, Stefano Mazzoleni, Giuliano Bonanomi, Francesco Giannino
{"title":"Organic matter DYnamic model (OMDY) predicts the wood debris decomposition of ten Mediterranean species","authors":"Sabrina Spigno, Fabrizio Cartenì, Mohamed Idbella, Alfonso Piscitelli, Michele Staiano, Silvana Cangemi, Riccardo Spaccini, Stefano Mazzoleni, Giuliano Bonanomi, Francesco Giannino","doi":"10.1007/s11104-024-07143-2","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Backgrounds and Aims</h3><p>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 <sup>13</sup>C NMR spectroscopy.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>The mass loss and the <sup>13</sup>C 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.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>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. <i>Pistacia lentiscus</i> L<i>.</i> showed the highest decomposition, with a O-alkyl C declining and alkyl C rising. <i>Erica arborea</i> 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.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>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.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"7 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant and Soil","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11104-024-07143-2","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

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.

求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信