Optimising POXC effective sensitivity as a soil indicator in Australian soils

Edward J. Jones , Yumi Hong , Vanessa Pino , Victoria Pauly , Kanika Singh , Damien Field , Alex B. McBratney
{"title":"Optimising POXC effective sensitivity as a soil indicator in Australian soils","authors":"Edward J. Jones ,&nbsp;Yumi Hong ,&nbsp;Vanessa Pino ,&nbsp;Victoria Pauly ,&nbsp;Kanika Singh ,&nbsp;Damien Field ,&nbsp;Alex B. McBratney","doi":"10.1016/j.soisec.2023.100116","DOIUrl":null,"url":null,"abstract":"<div><p>The continuum of soil organic carbon is currently not well represented by any single metric. Permanganate oxidizable carbon (POXC) has been widely utilized as a soil condition indicator due to its correlation with biological indicators and sensitivity to management effects over relatively short time periods. However, the ability of POXC to represent the continuum of soil organic carbon, and how this could improve the characterization of management effects, has not been sufficiently explored. This study investigated the relationship between permanganate concentration and POXC across nine permanganate concentrations ranging from 3 to 300 mM. An initial investigation was performed on ten cropped and uncropped topsoil pairs representing a diverse range of soil types across New South Wales, Australia, and an additional 52 sites were investigated in a farm-scale study. POXC was observed to increase monotonically and non-linearly with increasing permanganate concentration. POXC characteristics were developed by fitting a logistic function to the observed data, which facilitated calculation of the area under the curve (POXC<sub>AUC</sub>) and the theoretical maximum POXC (POXC<sub>max</sub>). The utility of the POXC characteristic was demonstrated with highly significant differences (p ≤ 0.002) observed in POXC<sub>AUC</sub> between cropped and uncropped sites. POXC<sub>AUC</sub> also displayed larger probability test statistics compared to any single permanganate concentration. The investigation also revealed that if a single concentration were to be utilized for australian soils, the 50 mM concentration was more effective at discerning land use effects in clayey (p = 0.000) and sandy (p = 0.049) sites compared to the widely adopted 20 mM concentration (p = 0.001; p = 0.312).</p></div>","PeriodicalId":74839,"journal":{"name":"Soil security","volume":"13 ","pages":"Article 100116"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667006223000333/pdfft?md5=b538e0f1d9d60b371817c38eebce8bea&pid=1-s2.0-S2667006223000333-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil security","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667006223000333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The continuum of soil organic carbon is currently not well represented by any single metric. Permanganate oxidizable carbon (POXC) has been widely utilized as a soil condition indicator due to its correlation with biological indicators and sensitivity to management effects over relatively short time periods. However, the ability of POXC to represent the continuum of soil organic carbon, and how this could improve the characterization of management effects, has not been sufficiently explored. This study investigated the relationship between permanganate concentration and POXC across nine permanganate concentrations ranging from 3 to 300 mM. An initial investigation was performed on ten cropped and uncropped topsoil pairs representing a diverse range of soil types across New South Wales, Australia, and an additional 52 sites were investigated in a farm-scale study. POXC was observed to increase monotonically and non-linearly with increasing permanganate concentration. POXC characteristics were developed by fitting a logistic function to the observed data, which facilitated calculation of the area under the curve (POXCAUC) and the theoretical maximum POXC (POXCmax). The utility of the POXC characteristic was demonstrated with highly significant differences (p ≤ 0.002) observed in POXCAUC between cropped and uncropped sites. POXCAUC also displayed larger probability test statistics compared to any single permanganate concentration. The investigation also revealed that if a single concentration were to be utilized for australian soils, the 50 mM concentration was more effective at discerning land use effects in clayey (p = 0.000) and sandy (p = 0.049) sites compared to the widely adopted 20 mM concentration (p = 0.001; p = 0.312).

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
优化POXC作为澳大利亚土壤指标的有效敏感性
土壤有机碳的连续体目前还不能用任何单一的度量来很好地表示。高锰酸盐可氧化碳(POXC)由于其与生物指标的相关性和对管理效果的敏感性,在较短的时间内被广泛用作土壤状况指标。然而,POXC代表土壤有机碳连续体的能力,以及它如何改善管理效果的表征,尚未得到充分的探索。本研究调查了9种高锰酸盐浓度范围为3 - 300 mM的高锰酸盐浓度与POXC之间的关系。对代表澳大利亚新南威尔士州不同土壤类型的10对作物和未作物表土进行了初步调查,并在农场规模的研究中调查了另外52个地点。POXC随高锰酸盐浓度的增加呈单调非线性增加。通过对观测数据拟合logistic函数得到POXC特征,便于计算曲线下面积(POXCAUC)和理论最大值POXC (poxmax)。POXC特征的效用被证明是高度显著差异(p≤0.002),观察到POXCAUC在修剪和未修剪的位点之间。与任何单一高锰酸盐浓度相比,POXCAUC也显示出更大的概率检验统计量。调查还表明,如果对澳大利亚土壤使用单一浓度,与广泛采用的20 mM浓度相比,50 mM浓度在识别粘土(p = 0.000)和沙质(p = 0.049)地点的土地利用效应方面更有效(p = 0.001;p = 0.312)。
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
Soil security
Soil security Soil Science
CiteScore
4.00
自引率
0.00%
发文量
0
审稿时长
90 days
期刊最新文献
Heavy metal pollution in farmland soils surrounding mining areas in China and the response of soil microbial communities Integration of indigenous and formal knowledge in the assessment of soil quality performance assessment using multiple factor analysis in Alborz central mountains Medium-term economic impacts of cover crop adoption in Maryland Using MIR and XRF spectroscopy to develop a heavy metal leaching potential model in Irish top soils Erratum regarding missing Conflict of Interest (COI) Statements in previously published articles
×
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