Distinct features of topsoil carbon fractions across urban forests in eastern China

IF 4 2区 农林科学 Q2 SOIL SCIENCE European Journal of Soil Science Pub Date : 2024-10-08 DOI:10.1111/ejss.13586
Hongbo Guo, Tao He, Xiaofei Gao, Nan Xia, Yang Tang, Yuehan Tian, Enzai Du
{"title":"Distinct features of topsoil carbon fractions across urban forests in eastern China","authors":"Hongbo Guo,&nbsp;Tao He,&nbsp;Xiaofei Gao,&nbsp;Nan Xia,&nbsp;Yang Tang,&nbsp;Yuehan Tian,&nbsp;Enzai Du","doi":"10.1111/ejss.13586","DOIUrl":null,"url":null,"abstract":"<p>Rapid urbanization has increased the areas of urban forests that store considerable soil carbon (C). Different soil C fractions may show distinctive contents and spatial patterns in view of their contrasting sensitivities to various drivers. However, current studies on soil C fractions are mostly limited to natural ecosystems and little is known about the large-scale patterns and drivers of soil C fractions in urban forests. Based on a field survey of urban forests across a north–south transect in eastern China, we analysed the spatial variations and main drivers of topsoil (surface layer, 0–10 cm; subsurface layer, 10–20 cm) C fractions (i.e., soil organic C, SOC; soil inorganic C, SIC; particulate organic C, POC; mineral-associated organic C, MAOC). Our results showed that topsoil contents of POC, MAOC and SOC changed non-linearly with latitude, with lowest values occurring in the cities in the warm temperate region. In contrast, SIC content showed the highest values in the warm temperate region. POC instead of MAOC was found to be a major fraction of SOC in urban forests. The spatial variation in topsoil POC content was mainly explained by mean annual temperature, soil clay and silt content, and park age. The spatial variation in MAOC content was mainly explained by soil clay and silt content, mean annual precipitation, mean annual temperature and park age. In contrast, the spatial variation in SIC content was mainly explained by mean annual precipitation and soil pH. These findings demonstrate distinct features of different soil C fractions in urban forests and provide useful implications for urban soil carbon management.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"75 5","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Soil Science","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejss.13586","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Rapid urbanization has increased the areas of urban forests that store considerable soil carbon (C). Different soil C fractions may show distinctive contents and spatial patterns in view of their contrasting sensitivities to various drivers. However, current studies on soil C fractions are mostly limited to natural ecosystems and little is known about the large-scale patterns and drivers of soil C fractions in urban forests. Based on a field survey of urban forests across a north–south transect in eastern China, we analysed the spatial variations and main drivers of topsoil (surface layer, 0–10 cm; subsurface layer, 10–20 cm) C fractions (i.e., soil organic C, SOC; soil inorganic C, SIC; particulate organic C, POC; mineral-associated organic C, MAOC). Our results showed that topsoil contents of POC, MAOC and SOC changed non-linearly with latitude, with lowest values occurring in the cities in the warm temperate region. In contrast, SIC content showed the highest values in the warm temperate region. POC instead of MAOC was found to be a major fraction of SOC in urban forests. The spatial variation in topsoil POC content was mainly explained by mean annual temperature, soil clay and silt content, and park age. The spatial variation in MAOC content was mainly explained by soil clay and silt content, mean annual precipitation, mean annual temperature and park age. In contrast, the spatial variation in SIC content was mainly explained by mean annual precipitation and soil pH. These findings demonstrate distinct features of different soil C fractions in urban forests and provide useful implications for urban soil carbon management.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国东部城市森林表土碳组分的不同特征
快速的城市化增加了城市森林的面积,这些森林储存了大量的土壤碳(C)。鉴于不同土壤碳组分对各种驱动因素的敏感性不同,它们可能会表现出不同的含量和空间模式。然而,目前有关土壤碳组分的研究大多局限于自然生态系统,对城市森林土壤碳组分的大尺度模式和驱动因素知之甚少。基于对中国东部南北横断面城市森林的实地调查,我们分析了表土(表层,0-10 cm;地下层,10-20 cm)C组分(即土壤有机C,SOC;土壤无机C,SIC;颗粒有机C,POC;矿物相关有机C,MAOC)的空间变化和主要驱动因素。我们的研究结果表明,表层土壤中的 POC、MAOC 和 SOC 含量随纬度的变化呈非线性变化,其中暖温带地区城市的含量最低。相比之下,暖温带地区的 SIC 含量最高。在城市森林中,POC 而不是 MAOC 是 SOC 的主要成分。表土 POC 含量的空间变化主要由年平均温度、土壤粘土和粉土含量以及公园年龄解释。MAOC 含量的空间变化主要由土壤粘土和淤泥含量、年平均降水量、年平均气温和公园年龄解释。相比之下,SIC 含量的空间变化主要由年平均降水量和土壤 pH 值解释。这些研究结果表明了城市森林不同土壤碳组分的不同特征,为城市土壤碳管理提供了有益的启示。
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 去求助
来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
期刊最新文献
Easily mobilized metals and acidity in acid sulfate soils across the Swedish coastal plains ‘Shifting gears ain't easy’: Disciplinary resistances to perspective shifts in soil science and how to move forward Cover cropping in organic reduced tillage systems: Maximizing soil cover or plant above ground biomass input? No relationship between outputs of simple humus balance calculators (VDLUFA and STAND) and soil organic carbon trends A GSD-driven approach to deriving stochastic soil strength parameters under hybrid machine learning models
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1