M. Bagheri-Bodaghabadi, A. Jafari, Mojtaba Zeraatpisheh, H. Owliaie, P. Finke, Ming Xu
{"title":"Numerical modelling of soil–landscape relationships using diversity indices and conditional probability: a case study from an Iranian arid region","authors":"M. Bagheri-Bodaghabadi, A. Jafari, Mojtaba Zeraatpisheh, H. Owliaie, P. Finke, Ming Xu","doi":"10.1071/sr22216","DOIUrl":"https://doi.org/10.1071/sr22216","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"58 2","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72463845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Álvaro José Gomes de Faria, S. H. Silva, Luiza Carvalho Alvarenga Lima, Renata Andrade, Lívia Botelho, L. C. A. Melo, L. Guilherme, N. Curi
{"title":"Rapid elemental prediction of heterogeneous tropical soils from pXRF data: a comparison of models via linear regressions and machine learning algorithms","authors":"Álvaro José Gomes de Faria, S. H. Silva, Luiza Carvalho Alvarenga Lima, Renata Andrade, Lívia Botelho, L. C. A. Melo, L. Guilherme, N. Curi","doi":"10.1071/sr22168","DOIUrl":"https://doi.org/10.1071/sr22168","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"3 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75499723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Context Quantifying soil organic carbon (SOC) depth distribution and its vertical transport is needed for both improved understanding of soil properties and behaviour as well as enhanced organic carbon sequestration. This is a global issue, that if better understood, could result in both more agriculturally productive soils as well as enhanced environmental outcomes.Aims Quantify whole soil-profile SOC and down-profile movement at a series of sites in south-east Australia.Methods Soil is sampled at regular intervals using cores and assessed for SOC and environmental tracer (137Cs) concentration.Key results Soils that have a high clay content (Vertosols) and crack (i.e. self mulching) have the highest SOC content. In high clay content soils, 137Cs is present at depths well below that at which it would be present by diffusive processes.Conclusions Surface soil, labelled with 137Cs is moving down the soil profile by advective processes to depths well below that possible by diffusive processes alone. Using local erosion rates and carbon input, it is estimated that less than 1% of SOC is delivered to the cracking soils by erosional processes and that the majority of SOC must be produced in situ.Implications Given that 137Cs is a relatively new environmental tracer (1945 onwards), this suggests that surface labelled soil is reaching depths of up to 80cm at decadal time scales. The methods and findings here have global applicability and provide insights into potential enhancement of carbon sequestration in both cropping and grazing landscapes.
{"title":"Understanding and quantifying whole soil-profile organic carbon transfer using an environmental tracer","authors":"G. R. Hancock","doi":"10.1071/sr22248","DOIUrl":"https://doi.org/10.1071/sr22248","url":null,"abstract":"Context Quantifying soil organic carbon (SOC) depth distribution and its vertical transport is needed for both improved understanding of soil properties and behaviour as well as enhanced organic carbon sequestration. This is a global issue, that if better understood, could result in both more agriculturally productive soils as well as enhanced environmental outcomes.Aims Quantify whole soil-profile SOC and down-profile movement at a series of sites in south-east Australia.Methods Soil is sampled at regular intervals using cores and assessed for SOC and environmental tracer (137Cs) concentration.Key results Soils that have a high clay content (Vertosols) and crack (i.e. self mulching) have the highest SOC content. In high clay content soils, 137Cs is present at depths well below that at which it would be present by diffusive processes.Conclusions Surface soil, labelled with 137Cs is moving down the soil profile by advective processes to depths well below that possible by diffusive processes alone. Using local erosion rates and carbon input, it is estimated that less than 1% of SOC is delivered to the cracking soils by erosional processes and that the majority of SOC must be produced in situ.Implications Given that 137Cs is a relatively new environmental tracer (1945 onwards), this suggests that surface labelled soil is reaching depths of up to 80cm at decadal time scales. The methods and findings here have global applicability and provide insights into potential enhancement of carbon sequestration in both cropping and grazing landscapes.","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135699344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Melloni, R. Melloni, R. Pastor-Jáuregui, A. Aguilar-Garrido, F. Martín-Peinado
{"title":"Microbiological indicators as sensitive indicators in the assessment of areas contaminated by heavy metals","authors":"E. Melloni, R. Melloni, R. Pastor-Jáuregui, A. Aguilar-Garrido, F. Martín-Peinado","doi":"10.1071/sr23012","DOIUrl":"https://doi.org/10.1071/sr23012","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"49 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75034169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agronomic soil tests can be used to estimate dissolved reactive phosphorus loss","authors":"D. Weaver, R. Summers, A. Neuhaus","doi":"10.1071/sr22167","DOIUrl":"https://doi.org/10.1071/sr22167","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"18 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72980323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Sartor, G. R. P. Andrade, S. Ying, R. Graham, R. Macedo, T. O. Ferreira
{"title":"Complexity of clay minerals and its effects on silicon dynamics in hypersaline coastal wetland soils, Brazil","authors":"L. Sartor, G. R. P. Andrade, S. Ying, R. Graham, R. Macedo, T. O. Ferreira","doi":"10.1071/sr22245","DOIUrl":"https://doi.org/10.1071/sr22245","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"34 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79487019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Context . Urban greenspaces and natural areas are often recognised for their cultural services, but may also provide ecological services, including carbon (C) sequestration and storage. Aims . This study investigated the strength of the relationship between easily discernable ecosystem characteristics (e.g. topographic position, vegetation, and soil type) and soil C storage, and evaluated common conversion factors and methodologies used in soil C inventories. Methods . Sixty-seven full-depth (up to 5 m) soil cores were collected across nine community types in University of Central Florida ’ s Arboretum (Orlando, Florida, USA) and were analysed for bulk density, organic matter (OM) content, total C, and total nitrogen (N). Key results . Wetlands stored an average of 16 times more C than uplands and C density increased with soil depth. A 70% underestimation of soil C stocks would have occurred if sampling stopped at 50 cm. A strong linear relationship between soil C and OM supports the use of a 0.56 (C:OM) conversion factor for estimating soil organic C. Conclusions . The presence of wetlands is the key predictor of soil C and N storage, but the magnitude of storage varies widely among wetlands. Overall, the 225-ha study area stored 85 482 ± 3365 Mg of soil C. Implications . Urban natural areas should be evaluated for their ecosystem servicesseparately from their surroundingdevelopedlanduse/land cover with consideration for C storage potential. Leveraging topographic position, a site-speci fi c soil OM conversion factor, and depth to refusal testing can increase the accuracy and cost-effectiveness of soil C inventories.
{"title":"Wetland soil carbon storage exceeds uplands in an urban natural area (Florida, USA)","authors":"Jennifer D. Bennett, Lisa G. Chambers","doi":"10.1071/sr22235","DOIUrl":"https://doi.org/10.1071/sr22235","url":null,"abstract":"Context . Urban greenspaces and natural areas are often recognised for their cultural services, but may also provide ecological services, including carbon (C) sequestration and storage. Aims . This study investigated the strength of the relationship between easily discernable ecosystem characteristics (e.g. topographic position, vegetation, and soil type) and soil C storage, and evaluated common conversion factors and methodologies used in soil C inventories. Methods . Sixty-seven full-depth (up to 5 m) soil cores were collected across nine community types in University of Central Florida ’ s Arboretum (Orlando, Florida, USA) and were analysed for bulk density, organic matter (OM) content, total C, and total nitrogen (N). Key results . Wetlands stored an average of 16 times more C than uplands and C density increased with soil depth. A 70% underestimation of soil C stocks would have occurred if sampling stopped at 50 cm. A strong linear relationship between soil C and OM supports the use of a 0.56 (C:OM) conversion factor for estimating soil organic C. Conclusions . The presence of wetlands is the key predictor of soil C and N storage, but the magnitude of storage varies widely among wetlands. Overall, the 225-ha study area stored 85 482 ± 3365 Mg of soil C. Implications . Urban natural areas should be evaluated for their ecosystem servicesseparately from their surroundingdevelopedlanduse/land cover with consideration for C storage potential. Leveraging topographic position, a site-speci fi c soil OM conversion factor, and depth to refusal testing can increase the accuracy and cost-effectiveness of soil C inventories.","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"13 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90981069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Sampaio, S. Vicente, M. Antunes, C. Máguas, H. Trindade
{"title":"Soil origin impacts Acacia longifolia above and belowground development: water and nutrition as players","authors":"C. Sampaio, S. Vicente, M. Antunes, C. Máguas, H. Trindade","doi":"10.1071/sr22109","DOIUrl":"https://doi.org/10.1071/sr22109","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"49 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81472300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using environmental tracers to understand soil organic carbon and soil erosion on a steep slope hillslope in south-east Australia","authors":"G. Hancock","doi":"10.1071/sr22263","DOIUrl":"https://doi.org/10.1071/sr22263","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"16 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81697481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Xing, Chris Smith, E. Wang, Ben C. T. Macdonald, D. Wårlind
{"title":"Modelling nitrous oxide emissions: comparing algorithms in six widely used agro-ecological models","authors":"H. Xing, Chris Smith, E. Wang, Ben C. T. Macdonald, D. Wårlind","doi":"10.1071/sr22009","DOIUrl":"https://doi.org/10.1071/sr22009","url":null,"abstract":"","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"34 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83941817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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