The impact of seasonal variation and forest type on soil organic carbon mineralization in typical forest ecosystems on the Chinese Loess Plateau

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Lie Xiao , Xuxu Min , Zhanbin Li , Peng Li , Shu Yu , Jianye Ma , Zhou Wang
{"title":"The impact of seasonal variation and forest type on soil organic carbon mineralization in typical forest ecosystems on the Chinese Loess Plateau","authors":"Lie Xiao ,&nbsp;Xuxu Min ,&nbsp;Zhanbin Li ,&nbsp;Peng Li ,&nbsp;Shu Yu ,&nbsp;Jianye Ma ,&nbsp;Zhou Wang","doi":"10.1016/j.ecolind.2025.114176","DOIUrl":null,"url":null,"abstract":"<div><div>The mineralization of soil organic carbon (SOC) is essential in the global carbon cycle. The forest type, season, and soil properties affect the characteristics of SOC mineralization in forest ecosystems, but their relative contributions remain unknown. In this study, soil samples from three typical forest types, <em>Pinus tabulaeformis</em> forest (PTF), <em>Quercus acutissima</em> forest (QAF), and mixed <em>P. tabulaeformis</em> and <em>Q. acutissima</em> forest (MF), were collected from China’s Loess Plateau throughout four seasons. Soil physicochemical factors, enzyme activity, microbial community composition, and SOC mineralization characteristics were investigated. Forest type, season, and their interactions significantly affected cumulative carbon mineralization (C<sub>m</sub>) and potentially mineralizable carbon (C<sub>0</sub>). Only seasonal variations significantly affected the mineralization rate constant (K). C<sub>m</sub> and C<sub>0</sub> were highest in spring, whereas the K values were highest in summer. Interestingly, the QAF forest had substantially lower C<sub>m</sub> and C<sub>0</sub> values in summer than the PTF and MF forests. Structural equation modeling (SEM) was used to determine the effects of forest type and season on SOC mineralization characteristics. SEMs explained 88%, 84%, and 58% of the variation in C<sub>m</sub>, C<sub>0</sub>, and K, respectively. The standardized total effects of season and forest type were −0.735 and −0.047 for C<sub>m</sub>, −0.485 and −0.004 for C<sub>0</sub>, and −0.446 and −0.117 for K. These findings show that on the Loess Plateau, seasonal fluctuations have a greater impact on SOC mineralization than forest type. They indicate that compared to coniferous and mixed forest types, broad-leaved forests had a relatively lower capacity for carbon mineralization. Our knowledge of the role of various environmental factors in controlling SOC dynamics in forest ecosystems is expanded by these studies.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114176"},"PeriodicalIF":7.0000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25011082","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The mineralization of soil organic carbon (SOC) is essential in the global carbon cycle. The forest type, season, and soil properties affect the characteristics of SOC mineralization in forest ecosystems, but their relative contributions remain unknown. In this study, soil samples from three typical forest types, Pinus tabulaeformis forest (PTF), Quercus acutissima forest (QAF), and mixed P. tabulaeformis and Q. acutissima forest (MF), were collected from China’s Loess Plateau throughout four seasons. Soil physicochemical factors, enzyme activity, microbial community composition, and SOC mineralization characteristics were investigated. Forest type, season, and their interactions significantly affected cumulative carbon mineralization (Cm) and potentially mineralizable carbon (C0). Only seasonal variations significantly affected the mineralization rate constant (K). Cm and C0 were highest in spring, whereas the K values were highest in summer. Interestingly, the QAF forest had substantially lower Cm and C0 values in summer than the PTF and MF forests. Structural equation modeling (SEM) was used to determine the effects of forest type and season on SOC mineralization characteristics. SEMs explained 88%, 84%, and 58% of the variation in Cm, C0, and K, respectively. The standardized total effects of season and forest type were −0.735 and −0.047 for Cm, −0.485 and −0.004 for C0, and −0.446 and −0.117 for K. These findings show that on the Loess Plateau, seasonal fluctuations have a greater impact on SOC mineralization than forest type. They indicate that compared to coniferous and mixed forest types, broad-leaved forests had a relatively lower capacity for carbon mineralization. Our knowledge of the role of various environmental factors in controlling SOC dynamics in forest ecosystems is expanded by these studies.

Abstract Image

黄土高原典型森林生态系统季节变化和森林类型对土壤有机碳矿化的影响
土壤有机碳矿化在全球碳循环中起着至关重要的作用。森林类型、季节和土壤性质影响森林生态系统有机碳矿化特征,但其相对贡献尚不清楚。本研究对中国黄土高原油松林(PTF)、针叶栎林(QAF)和油松与针叶松混交林(MF) 3种典型森林类型进行了四季取样。研究了土壤理化因子、酶活性、微生物群落组成和有机碳矿化特征。森林类型、季节及其相互作用显著影响累积碳矿化(Cm)和潜在矿化碳(C0)。只有季节变化对矿化速率常数(K)有显著影响。Cm和C0在春季最高,K值在夏季最高。有趣的是,QAF林在夏季的Cm和C0值明显低于PTF和MF林。利用结构方程模型(SEM)研究了森林类型和季节对有机碳矿化特征的影响。中小企业分别解释了Cm、C0和K变化的88%、84%和58%。季节和森林类型对Cm的标准化总效应分别为- 0.735和- 0.047,对C0的标准化总效应分别为- 0.485和- 0.004,对k的标准化总效应分别为- 0.446和- 0.117,表明黄土高原季节波动对有机碳矿化的影响大于森林类型。结果表明,与针叶林和混交林类型相比,阔叶林的碳矿化能力相对较低。这些研究扩大了我们对各种环境因素在控制森林生态系统有机碳动态中的作用的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
×
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:604180095
Book学术官方微信