Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues

C and N mineralization kinetics of 25 catch crop (CC) residues, whose organic C:N ratio varied from 9.5 to 34.0, were studied during soil incubations under controlled conditions. Decomposition rates were rather similar for the different CC residues, 59% to 68% residue-C being mineralized after 168 d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Plant and soil 2009-12, Vol.325 (1-2), p.171-185
Hauptverfasser: Justes, E, Mary, B, Nicolardot, B
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 185
container_issue 1-2
container_start_page 171
container_title Plant and soil
container_volume 325
creator Justes, E
Mary, B
Nicolardot, B
description C and N mineralization kinetics of 25 catch crop (CC) residues, whose organic C:N ratio varied from 9.5 to 34.0, were studied during soil incubations under controlled conditions. Decomposition rates were rather similar for the different CC residues, 59% to 68% residue-C being mineralized after 168 days incubation. C mineralized during the first weeks was mainly correlated to the soluble C content of the residue. N mineralized from CC residues was much more variable (−4.9 to +38.0 mg N g⁻¹ added C at day 168), and was mainly related to the organic N content in residues. C and N mineralization kinetics were simulated with STICS residue decomposition model, using the previous parameterization mostly based on mature crop residues (Nicolardot et al. Plant Soil 228:83-103, 2001). A reasonable agreement was found between measured and simulated C kinetics but N mineralization was underestimated by the model. A new parameterization was carried out to improve N predictions. The fitting procedure was first applied independently to each CC residue in order to optimise the five parameters of the model. The relationships found between each optimised parameter and the C:N ratio of CC residues were similar to those obtained previously, indicating that the same model was applicable to all residues. The parameters of these relationships were fitted on a combined dataset including CC and mature residues. The new parameterisation lead to better simulations for CC residues, the errors of prediction (RMSE) for C and N mineralization being 32 and 1.8 mg g⁻¹ added C, respectively. For the whole dataset (68 residues), the RMSE were 50 and 3.3 mg g⁻¹ added C. The prediction quality is satisfactory with respect to the model simplicity and the single criterion of residue quality (C:N ratio).
doi_str_mv 10.1007/s11104-009-9966-4
format Article
fullrecord <record><control><sourceid>jstor_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01862342v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>24130472</jstor_id><sourcerecordid>24130472</sourcerecordid><originalsourceid>FETCH-LOGICAL-c425t-2240486b106473989a4c56459a60eace659e1aeec64b9d4760f9ccf5971c91e83</originalsourceid><addsrcrecordid>eNp9UU1v0zAYjhBIlMEP4ICwkDhwCLx2bKfmNlXAJlUg1E3iZr1znNYliYvtII1fx0_Dadbtxil68nzKb1G8pPCeAtQfIqUUeAmgSqWkLPmjYkFFXZUCKvm4WABUrIRa_XhaPItxDxOmclH8_T7ikFx764YtwaEhvW9s101odcRfSe8GG7BzfzA5P5CfGSZnIvEtMZjMjpjgDyTY6JrRRuIGEr3rPpIDBuxtsuHkzIa0syclaazx_cFHdyRz79jZSbO5ulxt5h2k9YH0mMZgj2OGSTjDU9_z4kmLXbQv7r5nxfXnT1eri3L97cvl6nxdGs5EKhnjwJfyhoLkdaWWCrkRkguFEiwaK4WyFK01kt-ohtcSWmVMK1RNjaJ2WZ0V7-bcHXb6EFyP4VZ7dPrifK2nf0CXklWc_aZZ-2bWHoL_lTcmvfdjGPI8zQCkkKKCLKKzKD9fjMG296kU9HRTPd9U55vq6aaaZ8_bu2CMBrs24GBcvDcyxqQAprKOzbqYqWFrw8OA_4W_mk37mHx4COW0Al6zzL-e-Ra9xm3IxdcbBpmlNaW5u_oH6-nGLw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>200656530</pqid></control><display><type>article</type><title>Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues</title><source>SpringerNature Journals</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Justes, E ; Mary, B ; Nicolardot, B</creator><creatorcontrib>Justes, E ; Mary, B ; Nicolardot, B</creatorcontrib><description>C and N mineralization kinetics of 25 catch crop (CC) residues, whose organic C:N ratio varied from 9.5 to 34.0, were studied during soil incubations under controlled conditions. Decomposition rates were rather similar for the different CC residues, 59% to 68% residue-C being mineralized after 168 days incubation. C mineralized during the first weeks was mainly correlated to the soluble C content of the residue. N mineralized from CC residues was much more variable (−4.9 to +38.0 mg N g⁻¹ added C at day 168), and was mainly related to the organic N content in residues. C and N mineralization kinetics were simulated with STICS residue decomposition model, using the previous parameterization mostly based on mature crop residues (Nicolardot et al. Plant Soil 228:83-103, 2001). A reasonable agreement was found between measured and simulated C kinetics but N mineralization was underestimated by the model. A new parameterization was carried out to improve N predictions. The fitting procedure was first applied independently to each CC residue in order to optimise the five parameters of the model. The relationships found between each optimised parameter and the C:N ratio of CC residues were similar to those obtained previously, indicating that the same model was applicable to all residues. The parameters of these relationships were fitted on a combined dataset including CC and mature residues. The new parameterisation lead to better simulations for CC residues, the errors of prediction (RMSE) for C and N mineralization being 32 and 1.8 mg g⁻¹ added C, respectively. For the whole dataset (68 residues), the RMSE were 50 and 3.3 mg g⁻¹ added C. The prediction quality is satisfactory with respect to the model simplicity and the single criterion of residue quality (C:N ratio).</description><identifier>ISSN: 0032-079X</identifier><identifier>EISSN: 1573-5036</identifier><identifier>DOI: 10.1007/s11104-009-9966-4</identifier><identifier>CODEN: PLSOA2</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>Agricultural sciences ; Agricultural soils ; Agronomy ; Agronomy. Soil science and plant productions ; Animal, plant and microbial ecology ; Biological and medical sciences ; Biomedical and Life Sciences ; Calibration ; Carbon ; Catch crops ; Crop residues ; Crop science ; Datasets ; Decomposition ; Ecology ; Fundamental and applied biological sciences. Psychology ; General agronomy. Plant production ; Kinetics ; Life Sciences ; Mineralization ; Minerals ; Nitrogen ; Organic soils ; Parameterization ; Parametric models ; Plant Physiology ; Plant Sciences ; Plants ; Regular Article ; Soil biochemistry ; Soil science ; Soil Science &amp; Conservation ; Soil study ; Soil-plant relationships. Soil fertility ; Soil-plant relationships. Soil fertility. Fertilization. Amendments ; Soils</subject><ispartof>Plant and soil, 2009-12, Vol.325 (1-2), p.171-185</ispartof><rights>Springer Science+Business Media B.V. 2009</rights><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-2240486b106473989a4c56459a60eace659e1aeec64b9d4760f9ccf5971c91e83</citedby><cites>FETCH-LOGICAL-c425t-2240486b106473989a4c56459a60eace659e1aeec64b9d4760f9ccf5971c91e83</cites><orcidid>0000-0003-1852-4243</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24130472$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24130472$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,315,781,785,804,886,27929,27930,41493,42562,51324,58022,58255</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22265029$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://institut-agro-dijon.hal.science/hal-01862342$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Justes, E</creatorcontrib><creatorcontrib>Mary, B</creatorcontrib><creatorcontrib>Nicolardot, B</creatorcontrib><title>Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues</title><title>Plant and soil</title><addtitle>Plant Soil</addtitle><description>C and N mineralization kinetics of 25 catch crop (CC) residues, whose organic C:N ratio varied from 9.5 to 34.0, were studied during soil incubations under controlled conditions. Decomposition rates were rather similar for the different CC residues, 59% to 68% residue-C being mineralized after 168 days incubation. C mineralized during the first weeks was mainly correlated to the soluble C content of the residue. N mineralized from CC residues was much more variable (−4.9 to +38.0 mg N g⁻¹ added C at day 168), and was mainly related to the organic N content in residues. C and N mineralization kinetics were simulated with STICS residue decomposition model, using the previous parameterization mostly based on mature crop residues (Nicolardot et al. Plant Soil 228:83-103, 2001). A reasonable agreement was found between measured and simulated C kinetics but N mineralization was underestimated by the model. A new parameterization was carried out to improve N predictions. The fitting procedure was first applied independently to each CC residue in order to optimise the five parameters of the model. The relationships found between each optimised parameter and the C:N ratio of CC residues were similar to those obtained previously, indicating that the same model was applicable to all residues. The parameters of these relationships were fitted on a combined dataset including CC and mature residues. The new parameterisation lead to better simulations for CC residues, the errors of prediction (RMSE) for C and N mineralization being 32 and 1.8 mg g⁻¹ added C, respectively. For the whole dataset (68 residues), the RMSE were 50 and 3.3 mg g⁻¹ added C. The prediction quality is satisfactory with respect to the model simplicity and the single criterion of residue quality (C:N ratio).</description><subject>Agricultural sciences</subject><subject>Agricultural soils</subject><subject>Agronomy</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Calibration</subject><subject>Carbon</subject><subject>Catch crops</subject><subject>Crop residues</subject><subject>Crop science</subject><subject>Datasets</subject><subject>Decomposition</subject><subject>Ecology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>Kinetics</subject><subject>Life Sciences</subject><subject>Mineralization</subject><subject>Minerals</subject><subject>Nitrogen</subject><subject>Organic soils</subject><subject>Parameterization</subject><subject>Parametric models</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plants</subject><subject>Regular Article</subject><subject>Soil biochemistry</subject><subject>Soil science</subject><subject>Soil Science &amp; Conservation</subject><subject>Soil study</subject><subject>Soil-plant relationships. Soil fertility</subject><subject>Soil-plant relationships. Soil fertility. Fertilization. Amendments</subject><subject>Soils</subject><issn>0032-079X</issn><issn>1573-5036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UU1v0zAYjhBIlMEP4ICwkDhwCLx2bKfmNlXAJlUg1E3iZr1znNYliYvtII1fx0_Dadbtxil68nzKb1G8pPCeAtQfIqUUeAmgSqWkLPmjYkFFXZUCKvm4WABUrIRa_XhaPItxDxOmclH8_T7ikFx764YtwaEhvW9s101odcRfSe8GG7BzfzA5P5CfGSZnIvEtMZjMjpjgDyTY6JrRRuIGEr3rPpIDBuxtsuHkzIa0syclaazx_cFHdyRz79jZSbO5ulxt5h2k9YH0mMZgj2OGSTjDU9_z4kmLXbQv7r5nxfXnT1eri3L97cvl6nxdGs5EKhnjwJfyhoLkdaWWCrkRkguFEiwaK4WyFK01kt-ohtcSWmVMK1RNjaJ2WZ0V7-bcHXb6EFyP4VZ7dPrifK2nf0CXklWc_aZZ-2bWHoL_lTcmvfdjGPI8zQCkkKKCLKKzKD9fjMG296kU9HRTPd9U55vq6aaaZ8_bu2CMBrs24GBcvDcyxqQAprKOzbqYqWFrw8OA_4W_mk37mHx4COW0Al6zzL-e-Ra9xm3IxdcbBpmlNaW5u_oH6-nGLw</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Justes, E</creator><creator>Mary, B</creator><creator>Nicolardot, B</creator><general>Dordrecht : Springer Netherlands</general><general>Springer</general><general>Springer Netherlands</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>88A</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>SOI</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-1852-4243</orcidid></search><sort><creationdate>20091201</creationdate><title>Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues</title><author>Justes, E ; Mary, B ; Nicolardot, B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-2240486b106473989a4c56459a60eace659e1aeec64b9d4760f9ccf5971c91e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agricultural sciences</topic><topic>Agricultural soils</topic><topic>Agronomy</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Calibration</topic><topic>Carbon</topic><topic>Catch crops</topic><topic>Crop residues</topic><topic>Crop science</topic><topic>Datasets</topic><topic>Decomposition</topic><topic>Ecology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agronomy. Plant production</topic><topic>Kinetics</topic><topic>Life Sciences</topic><topic>Mineralization</topic><topic>Minerals</topic><topic>Nitrogen</topic><topic>Organic soils</topic><topic>Parameterization</topic><topic>Parametric models</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plants</topic><topic>Regular Article</topic><topic>Soil biochemistry</topic><topic>Soil science</topic><topic>Soil Science &amp; Conservation</topic><topic>Soil study</topic><topic>Soil-plant relationships. Soil fertility</topic><topic>Soil-plant relationships. Soil fertility. Fertilization. Amendments</topic><topic>Soils</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Justes, E</creatorcontrib><creatorcontrib>Mary, B</creatorcontrib><creatorcontrib>Nicolardot, B</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Biology Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Plant and soil</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Justes, E</au><au>Mary, B</au><au>Nicolardot, B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues</atitle><jtitle>Plant and soil</jtitle><stitle>Plant Soil</stitle><date>2009-12-01</date><risdate>2009</risdate><volume>325</volume><issue>1-2</issue><spage>171</spage><epage>185</epage><pages>171-185</pages><issn>0032-079X</issn><eissn>1573-5036</eissn><coden>PLSOA2</coden><abstract>C and N mineralization kinetics of 25 catch crop (CC) residues, whose organic C:N ratio varied from 9.5 to 34.0, were studied during soil incubations under controlled conditions. Decomposition rates were rather similar for the different CC residues, 59% to 68% residue-C being mineralized after 168 days incubation. C mineralized during the first weeks was mainly correlated to the soluble C content of the residue. N mineralized from CC residues was much more variable (−4.9 to +38.0 mg N g⁻¹ added C at day 168), and was mainly related to the organic N content in residues. C and N mineralization kinetics were simulated with STICS residue decomposition model, using the previous parameterization mostly based on mature crop residues (Nicolardot et al. Plant Soil 228:83-103, 2001). A reasonable agreement was found between measured and simulated C kinetics but N mineralization was underestimated by the model. A new parameterization was carried out to improve N predictions. The fitting procedure was first applied independently to each CC residue in order to optimise the five parameters of the model. The relationships found between each optimised parameter and the C:N ratio of CC residues were similar to those obtained previously, indicating that the same model was applicable to all residues. The parameters of these relationships were fitted on a combined dataset including CC and mature residues. The new parameterisation lead to better simulations for CC residues, the errors of prediction (RMSE) for C and N mineralization being 32 and 1.8 mg g⁻¹ added C, respectively. For the whole dataset (68 residues), the RMSE were 50 and 3.3 mg g⁻¹ added C. The prediction quality is satisfactory with respect to the model simplicity and the single criterion of residue quality (C:N ratio).</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><doi>10.1007/s11104-009-9966-4</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-1852-4243</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0032-079X
ispartof Plant and soil, 2009-12, Vol.325 (1-2), p.171-185
issn 0032-079X
1573-5036
language eng
recordid cdi_hal_primary_oai_HAL_hal_01862342v1
source SpringerNature Journals; JSTOR Archive Collection A-Z Listing
subjects Agricultural sciences
Agricultural soils
Agronomy
Agronomy. Soil science and plant productions
Animal, plant and microbial ecology
Biological and medical sciences
Biomedical and Life Sciences
Calibration
Carbon
Catch crops
Crop residues
Crop science
Datasets
Decomposition
Ecology
Fundamental and applied biological sciences. Psychology
General agronomy. Plant production
Kinetics
Life Sciences
Mineralization
Minerals
Nitrogen
Organic soils
Parameterization
Parametric models
Plant Physiology
Plant Sciences
Plants
Regular Article
Soil biochemistry
Soil science
Soil Science & Conservation
Soil study
Soil-plant relationships. Soil fertility
Soil-plant relationships. Soil fertility. Fertilization. Amendments
Soils
title Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T03%3A12%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Quantifying%20and%20modelling%20C%20and%20N%20mineralization%20kinetics%20of%20catch%20crop%20residues%20in%20soil:%20parameterization%20of%20the%20residue%20decomposition%20module%20of%20STICS%20model%20for%20mature%20and%20non%20mature%20residues&rft.jtitle=Plant%20and%20soil&rft.au=Justes,%20E&rft.date=2009-12-01&rft.volume=325&rft.issue=1-2&rft.spage=171&rft.epage=185&rft.pages=171-185&rft.issn=0032-079X&rft.eissn=1573-5036&rft.coden=PLSOA2&rft_id=info:doi/10.1007/s11104-009-9966-4&rft_dat=%3Cjstor_hal_p%3E24130472%3C/jstor_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=200656530&rft_id=info:pmid/&rft_jstor_id=24130472&rfr_iscdi=true