快循环和慢循环土壤有机碳的分离——土地利用变化地点的多方法比较

IF 5.6 1区 农林科学 Q1 SOIL SCIENCE Geoderma Pub Date : 2024-12-26 DOI:10.1016/j.geoderma.2024.117154
Marcus Schiedung, Pierre Barré, Christopher Peoplau
{"title":"快循环和慢循环土壤有机碳的分离——土地利用变化地点的多方法比较","authors":"Marcus Schiedung, Pierre Barré, Christopher Peoplau","doi":"10.1016/j.geoderma.2024.117154","DOIUrl":null,"url":null,"abstract":"Soil organic carbon (SOC) is significantly affected by land use change (LUC). Consequently, LUC is a major controlling factor of total SOC contents and SOC pool dynamics. Several methods have been developed to assess distinct SOC pools, which includes particle size separation, thermal analysis and soil reflectance mid-infrared spectroscopy. All of which are considered to have a potential as high through put methods to generate large datasets. Here, we used 23 sites covering six different types of LUC to assess differences in fast and slow cycling SOC derived from three approaches. We used i) particle size fractionation to obtain coarse (&gt;50 <ce:hsp sp=\"0.25\"></ce:hsp>µm) and fine (&lt;50 <ce:hsp sp=\"0.25\"></ce:hsp>µm) SOC fractions; ii) thermal Rock-Eval® 6 analysis in compilation with the PARTY<ce:inf loc=\"post\">SOC</ce:inf>v2.0<ce:inf loc=\"post\">EU</ce:inf> model to estimate active and stable SOC pools and iii) mid-infrared spectroscopy to determine the relative SOC composition and derive fast (aliphatic compounds) and slow (aromatic/carboxylic compounds) cycling SOC pools. The particle size SOC fractions and thermal SOC pools showed similar dynamics but differed substantially in the magnitude with LUC. The fine SOC fraction contained around two-thirds of the total SOC across all land uses and was strongly responsive by nearly matching the relative changes of total SOC (slope of 0.76 and R<ce:sup loc=\"post\">2</ce:sup> = 0.91). Therefore, the fine fraction SOC might be more dynamic than considered until now. In comparison, the stable SOC pool calculated using PARTY<ce:inf loc=\"post\">SOC</ce:inf>v2.0<ce:inf loc=\"post\">EU</ce:inf> was less responsive to the relative changes (slope of 0.43 and R<ce:sup loc=\"post\">2</ce:sup> = 0.72) and contained around 40 % of the total SOC. This underlines that both physical and thermal approaches separate biogeochemically distinct pools. The qualitative assessment by mid-infrared spectroscopy related well to the thermal SOC pools but not to the particle size fractions. The initial land-use SOC composition, as a ratio of the corresponding fast and slow cycling SOC pool, can be a suitable predictor for SOC evolution. This was particularly true for thermal and mid-infrared spectroscopy derived SOC pools. We show that three conceptually different methods (physical, thermal and mid-infrared spectroscopic) are suitable to determine SOC pool changes for a large diversity of LUC, but the sensitivity of the individual pools can differ strongly, depending on the method.","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"68 1","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Separating fast from slow cycling soil organic carbon – A multi-method comparison on land use change sites\",\"authors\":\"Marcus Schiedung, Pierre Barré, Christopher Peoplau\",\"doi\":\"10.1016/j.geoderma.2024.117154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soil organic carbon (SOC) is significantly affected by land use change (LUC). Consequently, LUC is a major controlling factor of total SOC contents and SOC pool dynamics. Several methods have been developed to assess distinct SOC pools, which includes particle size separation, thermal analysis and soil reflectance mid-infrared spectroscopy. All of which are considered to have a potential as high through put methods to generate large datasets. Here, we used 23 sites covering six different types of LUC to assess differences in fast and slow cycling SOC derived from three approaches. We used i) particle size fractionation to obtain coarse (&gt;50 <ce:hsp sp=\\\"0.25\\\"></ce:hsp>µm) and fine (&lt;50 <ce:hsp sp=\\\"0.25\\\"></ce:hsp>µm) SOC fractions; ii) thermal Rock-Eval® 6 analysis in compilation with the PARTY<ce:inf loc=\\\"post\\\">SOC</ce:inf>v2.0<ce:inf loc=\\\"post\\\">EU</ce:inf> model to estimate active and stable SOC pools and iii) mid-infrared spectroscopy to determine the relative SOC composition and derive fast (aliphatic compounds) and slow (aromatic/carboxylic compounds) cycling SOC pools. The particle size SOC fractions and thermal SOC pools showed similar dynamics but differed substantially in the magnitude with LUC. The fine SOC fraction contained around two-thirds of the total SOC across all land uses and was strongly responsive by nearly matching the relative changes of total SOC (slope of 0.76 and R<ce:sup loc=\\\"post\\\">2</ce:sup> = 0.91). Therefore, the fine fraction SOC might be more dynamic than considered until now. In comparison, the stable SOC pool calculated using PARTY<ce:inf loc=\\\"post\\\">SOC</ce:inf>v2.0<ce:inf loc=\\\"post\\\">EU</ce:inf> was less responsive to the relative changes (slope of 0.43 and R<ce:sup loc=\\\"post\\\">2</ce:sup> = 0.72) and contained around 40 % of the total SOC. This underlines that both physical and thermal approaches separate biogeochemically distinct pools. The qualitative assessment by mid-infrared spectroscopy related well to the thermal SOC pools but not to the particle size fractions. The initial land-use SOC composition, as a ratio of the corresponding fast and slow cycling SOC pool, can be a suitable predictor for SOC evolution. This was particularly true for thermal and mid-infrared spectroscopy derived SOC pools. We show that three conceptually different methods (physical, thermal and mid-infrared spectroscopic) are suitable to determine SOC pool changes for a large diversity of LUC, but the sensitivity of the individual pools can differ strongly, depending on the method.\",\"PeriodicalId\":12511,\"journal\":{\"name\":\"Geoderma\",\"volume\":\"68 1\",\"pages\":\"\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2024-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoderma\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1016/j.geoderma.2024.117154\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoderma","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.geoderma.2024.117154","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

土壤有机碳(SOC)受土地利用变化(LUC)影响显著。因此,土壤有机碳含量是土壤有机碳总含量和有机碳池动态的主要控制因素。目前已经开发了几种方法来评估不同的有机碳库,包括粒度分离、热分析和土壤反射率中红外光谱。所有这些都被认为具有作为高吞吐量方法生成大型数据集的潜力。在这里,我们使用了覆盖6种不同类型LUC的23个站点来评估三种方法得出的快循环和慢循环SOC的差异。我们使用i)粒度分馏获得粗(>50µm)和细(<50µm) SOC分数;ii)使用PARTYSOCv2.0EU模型编译热Rock-Eval®6分析,以估计活跃和稳定的SOC池;iii)中红外光谱测定相对SOC组成,并得出快速(脂肪族化合物)和缓慢(芳香/羧基化合物)循环的SOC池。颗粒级有机碳组分和热有机碳池的动态变化与陆面碳变化相似,但在量级上存在较大差异。在所有土地利用中,土壤有机碳精细组分约占总有机碳的三分之二,对土壤有机碳的相对变化响应强烈(斜率为0.76,R2 = 0.91)。因此,精细组分SOC可能比目前所认为的更具动态性。相比之下,使用PARTYSOCv2.0EU计算的稳定SOC池对相对变化的响应较小(斜率为0.43,R2 = 0.72),约占总SOC的40%。这强调了物理和热方法将不同的生物地球化学池分开。中红外光谱定性评价与热固碳池相关,但与颗粒级别无关。初始土地利用有机碳组成作为相应的快循环和慢循环有机碳库的比值,可以作为土壤有机碳演变的合适预测因子。对于热光谱和中红外光谱衍生的SOC池来说尤其如此。我们发现三种概念上不同的方法(物理、热光谱和中红外光谱)适用于确定LUC多样性大的SOC池变化,但单个池的灵敏度可能存在很大差异,这取决于方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Separating fast from slow cycling soil organic carbon – A multi-method comparison on land use change sites
Soil organic carbon (SOC) is significantly affected by land use change (LUC). Consequently, LUC is a major controlling factor of total SOC contents and SOC pool dynamics. Several methods have been developed to assess distinct SOC pools, which includes particle size separation, thermal analysis and soil reflectance mid-infrared spectroscopy. All of which are considered to have a potential as high through put methods to generate large datasets. Here, we used 23 sites covering six different types of LUC to assess differences in fast and slow cycling SOC derived from three approaches. We used i) particle size fractionation to obtain coarse (>50 µm) and fine (<50 µm) SOC fractions; ii) thermal Rock-Eval® 6 analysis in compilation with the PARTYSOCv2.0EU model to estimate active and stable SOC pools and iii) mid-infrared spectroscopy to determine the relative SOC composition and derive fast (aliphatic compounds) and slow (aromatic/carboxylic compounds) cycling SOC pools. The particle size SOC fractions and thermal SOC pools showed similar dynamics but differed substantially in the magnitude with LUC. The fine SOC fraction contained around two-thirds of the total SOC across all land uses and was strongly responsive by nearly matching the relative changes of total SOC (slope of 0.76 and R2 = 0.91). Therefore, the fine fraction SOC might be more dynamic than considered until now. In comparison, the stable SOC pool calculated using PARTYSOCv2.0EU was less responsive to the relative changes (slope of 0.43 and R2 = 0.72) and contained around 40 % of the total SOC. This underlines that both physical and thermal approaches separate biogeochemically distinct pools. The qualitative assessment by mid-infrared spectroscopy related well to the thermal SOC pools but not to the particle size fractions. The initial land-use SOC composition, as a ratio of the corresponding fast and slow cycling SOC pool, can be a suitable predictor for SOC evolution. This was particularly true for thermal and mid-infrared spectroscopy derived SOC pools. We show that three conceptually different methods (physical, thermal and mid-infrared spectroscopic) are suitable to determine SOC pool changes for a large diversity of LUC, but the sensitivity of the individual pools can differ strongly, depending on the method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geoderma
Geoderma 农林科学-土壤科学
CiteScore
11.80
自引率
6.60%
发文量
597
审稿时长
58 days
期刊介绍: Geoderma - the global journal of soil science - welcomes authors, readers and soil research from all parts of the world, encourages worldwide soil studies, and embraces all aspects of soil science and its associated pedagogy. The journal particularly welcomes interdisciplinary work focusing on dynamic soil processes and functions across space and time.
期刊最新文献
Seasonal soil water origins and determinants in an alpine hillslope on the northeastern Qinghai-Tibet Plateau Low-severity wildfire prevents catastrophic impacts on fungal communities and soil carbon stability in a fire-affected Douglas-fir ecosystem Thermogravimetric data suggest synergy between different organic fractions and clay in soil structure formation Rhizodeposition stimulates soil carbon decomposition and promotes formation of mineral-associated carbon with increased clay content Mycorrhizal and nutrient controls of carbon sequestration in tropical rainforest soil
×
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