Modeling indirect N₂O emissions along the N cascade from cropland soils to rivers
The frequently observed discrepancy between estimations of N₂O emissions at regional or global scale based either on field data or inventories (bottom-up) or on direct atmospheric observations (top-down) suggests that riparian areas and river surfaces play a significant role as hot spots of emission...
Gespeichert in:
Veröffentlicht in: | Biogeochemistry 2020-03, Vol.148 (2), p.207-221 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 221 |
---|---|
container_issue | 2 |
container_start_page | 207 |
container_title | Biogeochemistry |
container_volume | 148 |
creator | Billen, Gilles Garnier, Josette Grossel, Agnès Thieu, Vincent Théry, Sylvain Hénault, Catherine |
description | The frequently observed discrepancy between estimations of N₂O emissions at regional or global scale based either on field data or inventories (bottom-up) or on direct atmospheric observations (top-down) suggests that riparian areas and river surfaces play a significant role as hot spots of emission. We developed a modeling procedure to assess N₂O emissions occurring during the transfer of water masses from the subroot water pool of the watershed to the outlet of the river drainage network, including their passage through riparian wetlands. The model was applied to three river basins of increasing size located in the sedimentary geological area of the Paris basin (France) and validated by its capability to predict river N₂O concentrations and fluxes across the river–atmosphere interface. At the scale of the Seine watershed, indirect emissions, i.e. emissions linked to agricultural practices but occurring elsewhere than directly at the field plot, are estimated to represent approximately 20% of the direct emissions from the watershed soils, in good agreement with previous estimates based on empirical accounting approaches. Denitrification in riparian zones is responsible for the largest share of these indirect emissions. The model results are very sensitive to the value of the ratio of N₂O versus (N₂ + N₂O), in the final products of denitrification in rivers and wetlands. By calibration on river N₂O concentrations, a value of 0.015 ± 0.05 is proposed for this ratio, in agreement with recent studies. This represents the main uncertainty factor of the model. In basins with conditions prone to increasing the value of this ratio, higher proportions of indirect N₂O emissions might possibly be observed. |
doi_str_mv | 10.1007/s10533-020-00654-x |
format | Article |
fullrecord | <record><control><sourceid>jstor_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_02553360v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>48727887</jstor_id><sourcerecordid>48727887</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-142e08e290413c9ab77e9b9a580fd49ce6799354f54f9e4e0ea8192ab39f69723</originalsourceid><addsrcrecordid>eNp9kM1KxTAQhYMoeP15AUEIuHJRnSRNkyxF_IOrLlRwF3LbqebS21yTKrr1UX0SoxXdCQMDk--cyRxCdhgcMAB1mBhIIQrgUABUsixeV8iESSUKyeT9KpkAq3TBZSXWyUZKcwAwCsSE3FyGBjvfP1DfNz5iPdCrj_f3a4oLn5IPfaKuC_l5eER6RWuXatcgbWNY0DqGZef6hqbgu0SHQKN_wZi2yFrruoTbP32T3J2e3B6fF9Prs4vjo2lRl8wMBSs5gkZuoGSiNm6mFJqZcVJD25SmxkoZI2TZ5jJYIqDTzHA3E6atjOJik-yPvo-us8voFy6-2eC8PT-a2q8ZcJlTqeCFZXZvZJcxPD1jGuw8PMc-f89yobkRldFVpvhI5dNSitj-2jKwX0HbMejsDPY7aPuaRWIUpQz3Dxj_rP9V7Y6qeRpC_N1TasWV1kp8Ai-2igI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2382936986</pqid></control><display><type>article</type><title>Modeling indirect N₂O emissions along the N cascade from cropland soils to rivers</title><source>Jstor Complete Legacy</source><source>Springer Nature - Complete Springer Journals</source><creator>Billen, Gilles ; Garnier, Josette ; Grossel, Agnès ; Thieu, Vincent ; Théry, Sylvain ; Hénault, Catherine</creator><creatorcontrib>Billen, Gilles ; Garnier, Josette ; Grossel, Agnès ; Thieu, Vincent ; Théry, Sylvain ; Hénault, Catherine</creatorcontrib><description>The frequently observed discrepancy between estimations of N₂O emissions at regional or global scale based either on field data or inventories (bottom-up) or on direct atmospheric observations (top-down) suggests that riparian areas and river surfaces play a significant role as hot spots of emission. We developed a modeling procedure to assess N₂O emissions occurring during the transfer of water masses from the subroot water pool of the watershed to the outlet of the river drainage network, including their passage through riparian wetlands. The model was applied to three river basins of increasing size located in the sedimentary geological area of the Paris basin (France) and validated by its capability to predict river N₂O concentrations and fluxes across the river–atmosphere interface. At the scale of the Seine watershed, indirect emissions, i.e. emissions linked to agricultural practices but occurring elsewhere than directly at the field plot, are estimated to represent approximately 20% of the direct emissions from the watershed soils, in good agreement with previous estimates based on empirical accounting approaches. Denitrification in riparian zones is responsible for the largest share of these indirect emissions. The model results are very sensitive to the value of the ratio of N₂O versus (N₂ + N₂O), in the final products of denitrification in rivers and wetlands. By calibration on river N₂O concentrations, a value of 0.015 ± 0.05 is proposed for this ratio, in agreement with recent studies. This represents the main uncertainty factor of the model. In basins with conditions prone to increasing the value of this ratio, higher proportions of indirect N₂O emissions might possibly be observed.</description><identifier>ISSN: 0168-2563</identifier><identifier>EISSN: 1573-515X</identifier><identifier>DOI: 10.1007/s10533-020-00654-x</identifier><language>eng</language><publisher>Cham: Springer Science + Business Media</publisher><subject>Agricultural land ; Agricultural practices ; Atmospheric and Oceanic Physics ; Atmospheric models ; Biogeosciences ; Denitrification ; Drainage patterns ; Earth and Environmental Science ; Earth Sciences ; Ecology, environment ; Ecosystems ; Emission analysis ; Emissions ; Environmental Chemistry ; Fluxes ; Hot spots (geology) ; Life Sciences ; Modelling ; Nitrous oxide ; ORIGINAL PAPERS ; Outlets ; Physics ; Riparian land ; River basins ; Rivers ; Soil ; Soils ; Water masses ; Watersheds ; Wetlands</subject><ispartof>Biogeochemistry, 2020-03, Vol.148 (2), p.207-221</ispartof><rights>The Author(s) 2020</rights><rights>Biogeochemistry is a copyright of Springer, (2020). All Rights Reserved. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-142e08e290413c9ab77e9b9a580fd49ce6799354f54f9e4e0ea8192ab39f69723</citedby><cites>FETCH-LOGICAL-c419t-142e08e290413c9ab77e9b9a580fd49ce6799354f54f9e4e0ea8192ab39f69723</cites><orcidid>0000-0001-9416-9242 ; 0000-0002-1210-2499 ; 0000-0002-5753-8624 ; 0000-0001-5511-7343 ; 0000-0002-2659-9416</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48727887$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48727887$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,776,780,799,881,27901,27902,41464,42533,51294,57992,58225</link.rule.ids><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-02553360$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Billen, Gilles</creatorcontrib><creatorcontrib>Garnier, Josette</creatorcontrib><creatorcontrib>Grossel, Agnès</creatorcontrib><creatorcontrib>Thieu, Vincent</creatorcontrib><creatorcontrib>Théry, Sylvain</creatorcontrib><creatorcontrib>Hénault, Catherine</creatorcontrib><title>Modeling indirect N₂O emissions along the N cascade from cropland soils to rivers</title><title>Biogeochemistry</title><addtitle>Biogeochemistry</addtitle><description>The frequently observed discrepancy between estimations of N₂O emissions at regional or global scale based either on field data or inventories (bottom-up) or on direct atmospheric observations (top-down) suggests that riparian areas and river surfaces play a significant role as hot spots of emission. We developed a modeling procedure to assess N₂O emissions occurring during the transfer of water masses from the subroot water pool of the watershed to the outlet of the river drainage network, including their passage through riparian wetlands. The model was applied to three river basins of increasing size located in the sedimentary geological area of the Paris basin (France) and validated by its capability to predict river N₂O concentrations and fluxes across the river–atmosphere interface. At the scale of the Seine watershed, indirect emissions, i.e. emissions linked to agricultural practices but occurring elsewhere than directly at the field plot, are estimated to represent approximately 20% of the direct emissions from the watershed soils, in good agreement with previous estimates based on empirical accounting approaches. Denitrification in riparian zones is responsible for the largest share of these indirect emissions. The model results are very sensitive to the value of the ratio of N₂O versus (N₂ + N₂O), in the final products of denitrification in rivers and wetlands. By calibration on river N₂O concentrations, a value of 0.015 ± 0.05 is proposed for this ratio, in agreement with recent studies. This represents the main uncertainty factor of the model. In basins with conditions prone to increasing the value of this ratio, higher proportions of indirect N₂O emissions might possibly be observed.</description><subject>Agricultural land</subject><subject>Agricultural practices</subject><subject>Atmospheric and Oceanic Physics</subject><subject>Atmospheric models</subject><subject>Biogeosciences</subject><subject>Denitrification</subject><subject>Drainage patterns</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecology, environment</subject><subject>Ecosystems</subject><subject>Emission analysis</subject><subject>Emissions</subject><subject>Environmental Chemistry</subject><subject>Fluxes</subject><subject>Hot spots (geology)</subject><subject>Life Sciences</subject><subject>Modelling</subject><subject>Nitrous oxide</subject><subject>ORIGINAL PAPERS</subject><subject>Outlets</subject><subject>Physics</subject><subject>Riparian land</subject><subject>River basins</subject><subject>Rivers</subject><subject>Soil</subject><subject>Soils</subject><subject>Water masses</subject><subject>Watersheds</subject><subject>Wetlands</subject><issn>0168-2563</issn><issn>1573-515X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kM1KxTAQhYMoeP15AUEIuHJRnSRNkyxF_IOrLlRwF3LbqebS21yTKrr1UX0SoxXdCQMDk--cyRxCdhgcMAB1mBhIIQrgUABUsixeV8iESSUKyeT9KpkAq3TBZSXWyUZKcwAwCsSE3FyGBjvfP1DfNz5iPdCrj_f3a4oLn5IPfaKuC_l5eER6RWuXatcgbWNY0DqGZef6hqbgu0SHQKN_wZi2yFrruoTbP32T3J2e3B6fF9Prs4vjo2lRl8wMBSs5gkZuoGSiNm6mFJqZcVJD25SmxkoZI2TZ5jJYIqDTzHA3E6atjOJik-yPvo-us8voFy6-2eC8PT-a2q8ZcJlTqeCFZXZvZJcxPD1jGuw8PMc-f89yobkRldFVpvhI5dNSitj-2jKwX0HbMejsDPY7aPuaRWIUpQz3Dxj_rP9V7Y6qeRpC_N1TasWV1kp8Ai-2igI</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Billen, Gilles</creator><creator>Garnier, Josette</creator><creator>Grossel, Agnès</creator><creator>Thieu, Vincent</creator><creator>Théry, Sylvain</creator><creator>Hénault, Catherine</creator><general>Springer Science + Business Media</general><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>LK8</scope><scope>M0S</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-9416-9242</orcidid><orcidid>https://orcid.org/0000-0002-1210-2499</orcidid><orcidid>https://orcid.org/0000-0002-5753-8624</orcidid><orcidid>https://orcid.org/0000-0001-5511-7343</orcidid><orcidid>https://orcid.org/0000-0002-2659-9416</orcidid></search><sort><creationdate>20200301</creationdate><title>Modeling indirect N₂O emissions along the N cascade from cropland soils to rivers</title><author>Billen, Gilles ; Garnier, Josette ; Grossel, Agnès ; Thieu, Vincent ; Théry, Sylvain ; Hénault, Catherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-142e08e290413c9ab77e9b9a580fd49ce6799354f54f9e4e0ea8192ab39f69723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agricultural land</topic><topic>Agricultural practices</topic><topic>Atmospheric and Oceanic Physics</topic><topic>Atmospheric models</topic><topic>Biogeosciences</topic><topic>Denitrification</topic><topic>Drainage patterns</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecology, environment</topic><topic>Ecosystems</topic><topic>Emission analysis</topic><topic>Emissions</topic><topic>Environmental Chemistry</topic><topic>Fluxes</topic><topic>Hot spots (geology)</topic><topic>Life Sciences</topic><topic>Modelling</topic><topic>Nitrous oxide</topic><topic>ORIGINAL PAPERS</topic><topic>Outlets</topic><topic>Physics</topic><topic>Riparian land</topic><topic>River basins</topic><topic>Rivers</topic><topic>Soil</topic><topic>Soils</topic><topic>Water masses</topic><topic>Watersheds</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Billen, Gilles</creatorcontrib><creatorcontrib>Garnier, Josette</creatorcontrib><creatorcontrib>Grossel, Agnès</creatorcontrib><creatorcontrib>Thieu, Vincent</creatorcontrib><creatorcontrib>Théry, Sylvain</creatorcontrib><creatorcontrib>Hénault, Catherine</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Biogeochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Billen, Gilles</au><au>Garnier, Josette</au><au>Grossel, Agnès</au><au>Thieu, Vincent</au><au>Théry, Sylvain</au><au>Hénault, Catherine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling indirect N₂O emissions along the N cascade from cropland soils to rivers</atitle><jtitle>Biogeochemistry</jtitle><stitle>Biogeochemistry</stitle><date>2020-03-01</date><risdate>2020</risdate><volume>148</volume><issue>2</issue><spage>207</spage><epage>221</epage><pages>207-221</pages><issn>0168-2563</issn><eissn>1573-515X</eissn><abstract>The frequently observed discrepancy between estimations of N₂O emissions at regional or global scale based either on field data or inventories (bottom-up) or on direct atmospheric observations (top-down) suggests that riparian areas and river surfaces play a significant role as hot spots of emission. We developed a modeling procedure to assess N₂O emissions occurring during the transfer of water masses from the subroot water pool of the watershed to the outlet of the river drainage network, including their passage through riparian wetlands. The model was applied to three river basins of increasing size located in the sedimentary geological area of the Paris basin (France) and validated by its capability to predict river N₂O concentrations and fluxes across the river–atmosphere interface. At the scale of the Seine watershed, indirect emissions, i.e. emissions linked to agricultural practices but occurring elsewhere than directly at the field plot, are estimated to represent approximately 20% of the direct emissions from the watershed soils, in good agreement with previous estimates based on empirical accounting approaches. Denitrification in riparian zones is responsible for the largest share of these indirect emissions. The model results are very sensitive to the value of the ratio of N₂O versus (N₂ + N₂O), in the final products of denitrification in rivers and wetlands. By calibration on river N₂O concentrations, a value of 0.015 ± 0.05 is proposed for this ratio, in agreement with recent studies. This represents the main uncertainty factor of the model. In basins with conditions prone to increasing the value of this ratio, higher proportions of indirect N₂O emissions might possibly be observed.</abstract><cop>Cham</cop><pub>Springer Science + Business Media</pub><doi>10.1007/s10533-020-00654-x</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9416-9242</orcidid><orcidid>https://orcid.org/0000-0002-1210-2499</orcidid><orcidid>https://orcid.org/0000-0002-5753-8624</orcidid><orcidid>https://orcid.org/0000-0001-5511-7343</orcidid><orcidid>https://orcid.org/0000-0002-2659-9416</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0168-2563 |
ispartof | Biogeochemistry, 2020-03, Vol.148 (2), p.207-221 |
issn | 0168-2563 1573-515X |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_02553360v1 |
source | Jstor Complete Legacy; Springer Nature - Complete Springer Journals |
subjects | Agricultural land Agricultural practices Atmospheric and Oceanic Physics Atmospheric models Biogeosciences Denitrification Drainage patterns Earth and Environmental Science Earth Sciences Ecology, environment Ecosystems Emission analysis Emissions Environmental Chemistry Fluxes Hot spots (geology) Life Sciences Modelling Nitrous oxide ORIGINAL PAPERS Outlets Physics Riparian land River basins Rivers Soil Soils Water masses Watersheds Wetlands |
title | Modeling indirect N₂O emissions along the N cascade from cropland soils to rivers |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T22%3A33%3A32IST&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=Modeling%20indirect%20N%E2%82%82O%20emissions%20along%20the%20N%20cascade%20from%20cropland%20soils%20to%20rivers&rft.jtitle=Biogeochemistry&rft.au=Billen,%20Gilles&rft.date=2020-03-01&rft.volume=148&rft.issue=2&rft.spage=207&rft.epage=221&rft.pages=207-221&rft.issn=0168-2563&rft.eissn=1573-515X&rft_id=info:doi/10.1007/s10533-020-00654-x&rft_dat=%3Cjstor_hal_p%3E48727887%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=2382936986&rft_id=info:pmid/&rft_jstor_id=48727887&rfr_iscdi=true |