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Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285)
Biological nitrogen fixation (BNF) from grain legumes is of significant importance in global agricultural ecosystems. Crops with BNF capability are expected to support the need to increase food production while reducing nitrogen (N) fertilizer input for agricultural sustainability, but quantificatio...
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| Published in: | Geoscientific Model Development 2022-01, Vol.15 (2), p.815-839 |
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| container_title | Geoscientific Model Development |
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| creator | Ma, Jianyong Olin, Stefan Anthoni, Peter Rabin, Sam S Bayer, Anita D Nyawira, Sylvia S Arneth, Almut |
| description | Biological nitrogen fixation (BNF) from grain legumes is of
significant importance in global agricultural ecosystems. Crops with BNF
capability are expected to support the need to increase food production
while reducing nitrogen (N) fertilizer input for agricultural
sustainability, but quantification of N fixing rates and BNF crop yields
remains inadequate on a global scale. Here we incorporate two legume crops
(soybean and faba bean) with BNF into a dynamic vegetation model LPJ-GUESS
(Lund–Potsdam–Jena General Ecosystem Simulator). The performance of this new
implementation is evaluated against observations from a range of water and N
management trials. LPJ-GUESS generally captures the observed response to
these management practices for legume biomass production, soil N uptake, and N
fixation, despite some deviations from observations in some cases. Globally,
simulated BNF is dominated by soil moisture and temperature, as well as N
fertilizer addition. Annual inputs through BNF are modeled to be
11.6±2.2 Tg N for soybean and 5.6±1.0 Tg N for all pulses,
with a total fixation of 17.2±2.9 Tg N yr−1 for all grain
legumes during the period 1981–2016 on a global scale. Our estimates show
good agreement with some previous statistical estimates but are relatively
high compared to some estimates for pulses. This study highlights the
importance of accounting for legume N fixation process when modeling C–N
interactions in agricultural ecosystems, particularly when it comes to
accounting for the combined effects of climate and land-use change on the global
terrestrial N cycle. |
| doi_str_mv | 10.5194/gmd-15-815-2022 |
| format | article |
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significant importance in global agricultural ecosystems. Crops with BNF
capability are expected to support the need to increase food production
while reducing nitrogen (N) fertilizer input for agricultural
sustainability, but quantification of N fixing rates and BNF crop yields
remains inadequate on a global scale. Here we incorporate two legume crops
(soybean and faba bean) with BNF into a dynamic vegetation model LPJ-GUESS
(Lund–Potsdam–Jena General Ecosystem Simulator). The performance of this new
implementation is evaluated against observations from a range of water and N
management trials. LPJ-GUESS generally captures the observed response to
these management practices for legume biomass production, soil N uptake, and N
fixation, despite some deviations from observations in some cases. Globally,
simulated BNF is dominated by soil moisture and temperature, as well as N
fertilizer addition. Annual inputs through BNF are modeled to be
11.6±2.2 Tg N for soybean and 5.6±1.0 Tg N for all pulses,
with a total fixation of 17.2±2.9 Tg N yr−1 for all grain
legumes during the period 1981–2016 on a global scale. Our estimates show
good agreement with some previous statistical estimates but are relatively
high compared to some estimates for pulses. This study highlights the
importance of accounting for legume N fixation process when modeling C–N
interactions in agricultural ecosystems, particularly when it comes to
accounting for the combined effects of climate and land-use change on the global
terrestrial N cycle.</description><identifier>ISSN: 1991-9603</identifier><identifier>ISSN: 1991-959X</identifier><identifier>ISSN: 1991-962X</identifier><identifier>EISSN: 1991-9603</identifier><identifier>EISSN: 1991-962X</identifier><identifier>DOI: 10.5194/gmd-15-815-2022</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Agricultural ecology ; Agricultural ecosystems ; Agricultural production ; Agricultural Science ; Agricultural Science, Forestry and Fisheries ; Agricultural Sciences ; Agriculture ; Analysis ; Biomass ; Broad beans ; Carbon ; Climate and land use ; Climate change ; Climate effects ; Crop yield ; Crops ; Earth and Related Environmental Sciences ; Ecosystems ; Environment models ; Environmental impact ; Estimates ; Fertilizers ; Fixation ; Food ; Food production ; Geovetenskap och miljövetenskap ; Grain ; Jordbruksvetenskap ; Land use ; Lantbruksvetenskap och veterinärmedicin ; Lantbruksvetenskap, skogsbruk och fiske ; Legumes ; Manures ; Modelling ; Natural Sciences ; Naturgeografi ; Naturvetenskap ; Nitrogen ; Nitrogen fixation ; Nitrogenation ; Physical Geography ; Simulators ; Soil ; Soil fertility ; Soil moisture ; Soil temperature ; Soybean ; Soybeans ; Sustainability ; Sustainable agriculture ; Symbionts ; Terrestrial environments ; Uptake ; Vegetation</subject><ispartof>Geoscientific Model Development, 2022-01, Vol.15 (2), p.815-839</ispartof><rights>COPYRIGHT 2022 Copernicus GmbH</rights><rights>2022. This work is published under https://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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c546t-ecfc3b17adb5c3ce01f39b9eaee2bcbddd4c6ab2c050202b1785c1dee368396f3</citedby><cites>FETCH-LOGICAL-c546t-ecfc3b17adb5c3ce01f39b9eaee2bcbddd4c6ab2c050202b1785c1dee368396f3</cites><orcidid>0000-0002-9336-5310 ; 0000-0001-5459-6506 ; 0000-0003-4095-1129 ; 0000-0001-6616-0822</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2623249251/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2623249251?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,44590,75126</link.rule.ids><backlink>$$Uhttps://lup.lub.lu.se/record/5f86df34-a8e2-4861-9ad7-05a47bbcddd7$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Ma, Jianyong</creatorcontrib><creatorcontrib>Olin, Stefan</creatorcontrib><creatorcontrib>Anthoni, Peter</creatorcontrib><creatorcontrib>Rabin, Sam S</creatorcontrib><creatorcontrib>Bayer, Anita D</creatorcontrib><creatorcontrib>Nyawira, Sylvia S</creatorcontrib><creatorcontrib>Arneth, Almut</creatorcontrib><title>Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285)</title><title>Geoscientific Model Development</title><description>Biological nitrogen fixation (BNF) from grain legumes is of
significant importance in global agricultural ecosystems. Crops with BNF
capability are expected to support the need to increase food production
while reducing nitrogen (N) fertilizer input for agricultural
sustainability, but quantification of N fixing rates and BNF crop yields
remains inadequate on a global scale. Here we incorporate two legume crops
(soybean and faba bean) with BNF into a dynamic vegetation model LPJ-GUESS
(Lund–Potsdam–Jena General Ecosystem Simulator). The performance of this new
implementation is evaluated against observations from a range of water and N
management trials. LPJ-GUESS generally captures the observed response to
these management practices for legume biomass production, soil N uptake, and N
fixation, despite some deviations from observations in some cases. Globally,
simulated BNF is dominated by soil moisture and temperature, as well as N
fertilizer addition. Annual inputs through BNF are modeled to be
11.6±2.2 Tg N for soybean and 5.6±1.0 Tg N for all pulses,
with a total fixation of 17.2±2.9 Tg N yr−1 for all grain
legumes during the period 1981–2016 on a global scale. Our estimates show
good agreement with some previous statistical estimates but are relatively
high compared to some estimates for pulses. This study highlights the
importance of accounting for legume N fixation process when modeling C–N
interactions in agricultural ecosystems, particularly when it comes to
accounting for the combined effects of climate and land-use change on the global
terrestrial N cycle.</description><subject>Agricultural ecology</subject><subject>Agricultural ecosystems</subject><subject>Agricultural production</subject><subject>Agricultural Science</subject><subject>Agricultural Science, Forestry and Fisheries</subject><subject>Agricultural Sciences</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Biomass</subject><subject>Broad beans</subject><subject>Carbon</subject><subject>Climate and land use</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Earth and Related Environmental Sciences</subject><subject>Ecosystems</subject><subject>Environment models</subject><subject>Environmental impact</subject><subject>Estimates</subject><subject>Fertilizers</subject><subject>Fixation</subject><subject>Food</subject><subject>Food production</subject><subject>Geovetenskap och 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symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285)</title><author>Ma, Jianyong ; Olin, Stefan ; Anthoni, Peter ; Rabin, Sam S ; Bayer, Anita D ; Nyawira, Sylvia S ; Arneth, Almut</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c546t-ecfc3b17adb5c3ce01f39b9eaee2bcbddd4c6ab2c050202b1785c1dee368396f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural ecology</topic><topic>Agricultural ecosystems</topic><topic>Agricultural production</topic><topic>Agricultural Science</topic><topic>Agricultural Science, Forestry and Fisheries</topic><topic>Agricultural Sciences</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Biomass</topic><topic>Broad beans</topic><topic>Carbon</topic><topic>Climate and land use</topic><topic>Climate change</topic><topic>Climate effects</topic><topic>Crop 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text</collection><collection>Directory of Open Access Journals</collection><jtitle>Geoscientific Model Development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Jianyong</au><au>Olin, Stefan</au><au>Anthoni, Peter</au><au>Rabin, Sam S</au><au>Bayer, Anita D</au><au>Nyawira, Sylvia S</au><au>Arneth, Almut</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285)</atitle><jtitle>Geoscientific Model Development</jtitle><date>2022-01-28</date><risdate>2022</risdate><volume>15</volume><issue>2</issue><spage>815</spage><epage>839</epage><pages>815-839</pages><issn>1991-9603</issn><issn>1991-959X</issn><issn>1991-962X</issn><eissn>1991-9603</eissn><eissn>1991-962X</eissn><abstract>Biological nitrogen fixation (BNF) from grain legumes is of
significant importance in global agricultural ecosystems. Crops with BNF
capability are expected to support the need to increase food production
while reducing nitrogen (N) fertilizer input for agricultural
sustainability, but quantification of N fixing rates and BNF crop yields
remains inadequate on a global scale. Here we incorporate two legume crops
(soybean and faba bean) with BNF into a dynamic vegetation model LPJ-GUESS
(Lund–Potsdam–Jena General Ecosystem Simulator). The performance of this new
implementation is evaluated against observations from a range of water and N
management trials. LPJ-GUESS generally captures the observed response to
these management practices for legume biomass production, soil N uptake, and N
fixation, despite some deviations from observations in some cases. Globally,
simulated BNF is dominated by soil moisture and temperature, as well as N
fertilizer addition. Annual inputs through BNF are modeled to be
11.6±2.2 Tg N for soybean and 5.6±1.0 Tg N for all pulses,
with a total fixation of 17.2±2.9 Tg N yr−1 for all grain
legumes during the period 1981–2016 on a global scale. Our estimates show
good agreement with some previous statistical estimates but are relatively
high compared to some estimates for pulses. This study highlights the
importance of accounting for legume N fixation process when modeling C–N
interactions in agricultural ecosystems, particularly when it comes to
accounting for the combined effects of climate and land-use change on the global
terrestrial N cycle.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/gmd-15-815-2022</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0002-9336-5310</orcidid><orcidid>https://orcid.org/0000-0001-5459-6506</orcidid><orcidid>https://orcid.org/0000-0003-4095-1129</orcidid><orcidid>https://orcid.org/0000-0001-6616-0822</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1991-9603 |
| ispartof | Geoscientific Model Development, 2022-01, Vol.15 (2), p.815-839 |
| issn | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X |
| language | eng |
| recordid | cdi_proquest_journals_2623249251 |
| source | Publicly Available Content Database |
| subjects | Agricultural ecology Agricultural ecosystems Agricultural production Agricultural Science Agricultural Science, Forestry and Fisheries Agricultural Sciences Agriculture Analysis Biomass Broad beans Carbon Climate and land use Climate change Climate effects Crop yield Crops Earth and Related Environmental Sciences Ecosystems Environment models Environmental impact Estimates Fertilizers Fixation Food Food production Geovetenskap och miljövetenskap Grain Jordbruksvetenskap Land use Lantbruksvetenskap och veterinärmedicin Lantbruksvetenskap, skogsbruk och fiske Legumes Manures Modelling Natural Sciences Naturgeografi Naturvetenskap Nitrogen Nitrogen fixation Nitrogenation Physical Geography Simulators Soil Soil fertility Soil moisture Soil temperature Soybean Soybeans Sustainability Sustainable agriculture Symbionts Terrestrial environments Uptake Vegetation |
| title | Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285) |
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