{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/109638"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/109638","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Estimation of the global carbon fluxes due to agricultural management activities using a land surface model (ISAM)","abstract":"Agricultural activities contribute to global greenhouse gas (GHG) emissions and climate. The worldwide hike in the food demand due to the rapidly growing population over time has intensified agricultural activities, resulting in a significant amount of GHG emissions (e.g., CO2, CH4, and N2O). Previous global studies have focused on non-CO2 emissions (i.e., CH4, N2O) and ignored the CO2 emissions from the agriculture sector. This study uses a land surface model with spatially heterogeneous representations of agricultural land management practices to estimate the carbon dynamics induced by agricultural land management practices (i.e., planting crops, fertilization, irrigation, harvesting, and grazing) and land-use change (i.e., agricultural land expansion). The estimated global net carbon emission from agriculture and its related land-use change is 2.26 Pg C/yr (net source) in ca. 2010. The land management activities released 0.85 Pg C/yr (38%), and the land-use change activities emitted 1.41 Pg C/yr (62%). Cropland and grazing land released about 72% and 28% of the total agriculture emissions. Maize, rice, and wheat are the greatest contributing crops. South America (22%), North America (19%) and, South and Southeast Asia (13%) are the leading emitting regions. By quantifying the carbon emissions induced by different agricultural management practices, this study help in improving the representations of land management practices in the climate models.","abstract_html":"Agricultural activities contribute to global greenhouse gas (GHG) emissions and climate. The worldwide hike in the food demand due to the rapidly growing population over time has intensified agricultural activities, resulting in a significant amount of GHG emissions (e.g., CO2, CH4, and N2O). Previous global studies have focused on non-CO2 emissions (i.e., CH4, N2O) and ignored the CO2 emissions from the agriculture sector. This study uses a land surface model with spatially heterogeneous representations of agricultural land management practices to estimate the carbon dynamics induced by agricultural land management practices (i.e., planting crops, fertilization, irrigation, harvesting, and grazing) and land-use change (i.e., agricultural land expansion). The estimated global net carbon emission from agriculture and its related land-use change is 2.26 Pg C/yr (net source) in ca. 2010. The land management activities released 0.85 Pg C/yr (38%), and the land-use change activities emitted 1.41 Pg C/yr (62%). Cropland and grazing land released about 72% and 28% of the total agriculture emissions. Maize, rice, and wheat are the greatest contributing crops. South America (22%), North America (19%) and, South and Southeast Asia (13%) are the leading emitting regions. By quantifying the carbon emissions induced by different agricultural management practices, this study help in improving the representations of land management practices in the climate models.","abstract_has_math":false,"creators":["Sharma, Prateek"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Atmospheric Sciences","degree_department":null,"school":null,"contributors":["Jain, Atul"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-03-05T21:47:35Z","date_published":"2021-03-05T21:47:35Z","updated_at":"2026-07-22T22:24:50Z","subjects":["Land-use change","Greenhouse gas","Agricultural land management"],"languages":["en"],"rights":["Copyright 2020 Prateek Sharma"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/109638","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Jain, Atul"]},{"key":"dc:creator","label":"Author","values":["Sharma, Prateek"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-03-05T21:47:35Z","2023-03-05T21:47:41Z","2020-12-09","2020-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Atmospheric Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Land-use change","Greenhouse gas","Agricultural land management"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Prateek Sharma"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/109638"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Agricultural activities contribute to global greenhouse gas (GHG) emissions and climate. The worldwide hike in the food demand due to the rapidly growing population over time has intensified agricultural activities, resulting in a significant amount of GHG emissions (e.g., CO2, CH4, and N2O). Previous global studies have focused on non-CO2 emissions (i.e., CH4, N2O) and ignored the CO2 emissions from the agriculture sector. This study uses a land surface model with spatially heterogeneous representations of agricultural land management practices to estimate the carbon dynamics induced by agricultural land management practices (i.e., planting crops, fertilization, irrigation, harvesting, and grazing) and land-use change (i.e., agricultural land expansion). The estimated global net carbon emission from agriculture and its related land-use change is 2.26 Pg C/yr (net source) in ca. 2010. The land management activities released 0.85 Pg C/yr (38%), and the land-use change activities emitted 1.41 Pg C/yr (62%). Cropland and grazing land released about 72% and 28% of the total agriculture emissions. Maize, rice, and wheat are the greatest contributing crops. South America (22%), North America (19%) and, South and Southeast Asia (13%) are the leading emitting regions. By quantifying the carbon emissions induced by different agricultural management practices, this study help in improving the representations of land management practices in the climate models.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01","The student, Prateek Sharma, accepted the attached license on 2020-12-08 at 15:40.","The student, Prateek Sharma, submitted this Thesis for approval on 2020-12-08 at 15:58.","This Thesis was approved for publication on 2020-12-09 at 17:00.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16090 on 2021-03-04 at 16:33:52","Made available in DSpace on 2021-03-05T21:47:35Z (GMT). No. of bitstreams: 2 SHARMA-THESIS-2020.pdf: 2056440 bytes, checksum: d705a1b73fb26c011a36348d91590812 (MD5) LICENSE.txt: 4211 bytes, checksum: 467ba91beeeb4e27780330ec3fc69806 (MD5) Previous issue date: 2020-12-09","Embargo set by: Seth Robbins for item 117344 Lift date: 2023-03-05T21:47:41Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Estimation of the global carbon fluxes due to agricultural management activities using a land surface model (ISAM)"]}]}],"canonical_facts":{"dc:contributor":["Jain, Atul"],"dc:creator":["Sharma, Prateek"],"dc:date":["2021-03-05T21:47:35Z","2023-03-05T21:47:41Z","2020-12-09","2020-12"],"dc:description":["Agricultural activities contribute to global greenhouse gas (GHG) emissions and climate. The worldwide hike in the food demand due to the rapidly growing population over time has intensified agricultural activities, resulting in a significant amount of GHG emissions (e.g., CO2, CH4, and N2O). Previous global studies have focused on non-CO2 emissions (i.e., CH4, N2O) and ignored the CO2 emissions from the agriculture sector. This study uses a land surface model with spatially heterogeneous representations of agricultural land management practices to estimate the carbon dynamics induced by agricultural land management practices (i.e., planting crops, fertilization, irrigation, harvesting, and grazing) and land-use change (i.e., agricultural land expansion). The estimated global net carbon emission from agriculture and its related land-use change is 2.26 Pg C/yr (net source) in ca. 2010. The land management activities released 0.85 Pg C/yr (38%), and the land-use change activities emitted 1.41 Pg C/yr (62%). Cropland and grazing land released about 72% and 28% of the total agriculture emissions. Maize, rice, and wheat are the greatest contributing crops. South America (22%), North America (19%) and, South and Southeast Asia (13%) are the leading emitting regions. By quantifying the carbon emissions induced by different agricultural management practices, this study help in improving the representations of land management practices in the climate models.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01","The student, Prateek Sharma, accepted the attached license on 2020-12-08 at 15:40.","The student, Prateek Sharma, submitted this Thesis for approval on 2020-12-08 at 15:58.","This Thesis was approved for publication on 2020-12-09 at 17:00.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16090 on 2021-03-04 at 16:33:52","Made available in DSpace on 2021-03-05T21:47:35Z (GMT). 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