{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110705"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110705","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Quantifying soil ecosystem services across different spatial scales to improve agricultural nitrogen management","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","abstract_has_math":false,"creators":["Xia, Yushu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Natural Res & Env Sciences","degree_department":null,"school":null,"contributors":["Wander, Michelle","Mulvaney, Richard","Yang, Wendy","Guan, Kaiyu","Martin, Nicolas"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T02:34:39Z","date_published":"2021-09-17T02:34:39Z","updated_at":"2026-07-22T22:24:52Z","subjects":["Nitrogen management","N2O emissions","Ecosystem Services","Process-based modeling","Remote Sensing","Soil Health","Corn nitrogen inputs","Management zone"],"languages":["en"],"rights":["Copyright 2021 Yushu Xia"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110705","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wander, Michelle","Mulvaney, Richard","Yang, Wendy","Guan, Kaiyu","Martin, Nicolas"]},{"key":"dc:creator","label":"Author","values":["Xia, Yushu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T02:34:39Z","2023-09-17T02:34:57Z","2021-04-22","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Natural Res & Env Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Nitrogen management","N2O emissions","Ecosystem Services","Process-based modeling","Remote Sensing","Soil Health","Corn nitrogen inputs","Management zone"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Yushu Xia"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110705"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","Management-associated soil ecosystem services (ESS) have been widely used to evaluate or interpret management goals such as agricultural productivity and environmental sustainability. However, efforts to quantify ESS are often complicated by controlling factors that vary across scales and interact to influence ecosystem processes. This dissertation explores how these factors vary across scales to inform frameworks used for modeling or estimating ESS by considering soil nitrogen (N) loss. First, a data fusion method was used to provide crop-specific N input data needed at U.S. county-level resolution. At the broad spatial scale, process-based modeling was coupled with improved datasets to estimate soil nitrous oxide (N2O) emissions from the U.S. Corn Belt before modeled results were evaluated using a metadata-based summarizing flux from a variety of management scenarios. At the regional scale, biomass N credits derived from cover crops were estimated by combining remote sensing imagery and site-specific covariates to estimate contributions to plant available N. At the field scale, a strategic sampling design was developed to quantify rain event-induced soil N2O fluxes, which were found to vary with field zones delineated with soil and site-based covariates. Finally, a systematic review of biochemical soil health indicators and their relationships to covariates, management and crop yield, soil organic C (SOC) stocks, and greenhouse gas (GHG) emissions was carried out to improve indicator’s utility for management. This dissertation illustrates the importance of using indicators and covariates to understand how inherent site and soil factors interact with management at different scales.","The student, Yushu Xia, accepted the attached license on 2021-04-20 at 15:02.","The student, Yushu Xia, submitted this Dissertation for approval on 2021-04-20 at 15:22.","This Dissertation was approved for publication on 2021-04-22 at 08:10.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16445 on 2021-09-16 at 17:04:08","Made available in DSpace on 2021-09-17T02:34:39Z (GMT). No. of bitstreams: 3 XIA-DISSERTATION-2021.pdf: 10288413 bytes, checksum: 792b825beef214888aa05931dcf5e120 (MD5) LICENSE.txt: 4206 bytes, checksum: 99334e120fd1c9607e19b6cbd0b3c091 (MD5) PROQUEST_LICENSE.txt: 4552 bytes, checksum: 8784cf503f1c87057ded26077228c1fa (MD5) Previous issue date: 2021-04-22","Embargo set by: Seth Robbins for item 118548 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Quantifying soil ecosystem services across different spatial scales to improve agricultural nitrogen management"]}]}],"canonical_facts":{"dc:contributor":["Wander, Michelle","Mulvaney, Richard","Yang, Wendy","Guan, Kaiyu","Martin, Nicolas"],"dc:creator":["Xia, Yushu"],"dc:date":["2021-09-17T02:34:39Z","2023-09-17T02:34:57Z","2021-04-22","2021-05"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","Management-associated soil ecosystem services (ESS) have been widely used to evaluate or interpret management goals such as agricultural productivity and environmental sustainability. However, efforts to quantify ESS are often complicated by controlling factors that vary across scales and interact to influence ecosystem processes. This dissertation explores how these factors vary across scales to inform frameworks used for modeling or estimating ESS by considering soil nitrogen (N) loss. First, a data fusion method was used to provide crop-specific N input data needed at U.S. county-level resolution. At the broad spatial scale, process-based modeling was coupled with improved datasets to estimate soil nitrous oxide (N2O) emissions from the U.S. Corn Belt before modeled results were evaluated using a metadata-based summarizing flux from a variety of management scenarios. At the regional scale, biomass N credits derived from cover crops were estimated by combining remote sensing imagery and site-specific covariates to estimate contributions to plant available N. At the field scale, a strategic sampling design was developed to quantify rain event-induced soil N2O fluxes, which were found to vary with field zones delineated with soil and site-based covariates. Finally, a systematic review of biochemical soil health indicators and their relationships to covariates, management and crop yield, soil organic C (SOC) stocks, and greenhouse gas (GHG) emissions was carried out to improve indicator’s utility for management. This dissertation illustrates the importance of using indicators and covariates to understand how inherent site and soil factors interact with management at different scales.","The student, Yushu Xia, accepted the attached license on 2021-04-20 at 15:02.","The student, Yushu Xia, submitted this Dissertation for approval on 2021-04-20 at 15:22.","This Dissertation was approved for publication on 2021-04-22 at 08:10.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16445 on 2021-09-16 at 17:04:08","Made available in DSpace on 2021-09-17T02:34:39Z (GMT). No. of bitstreams: 3 XIA-DISSERTATION-2021.pdf: 10288413 bytes, checksum: 792b825beef214888aa05931dcf5e120 (MD5) LICENSE.txt: 4206 bytes, checksum: 99334e120fd1c9607e19b6cbd0b3c091 (MD5) PROQUEST_LICENSE.txt: 4552 bytes, checksum: 8784cf503f1c87057ded26077228c1fa (MD5) Previous issue date: 2021-04-22","Embargo set by: Seth Robbins for item 118548 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/110705"],"dc:language":["en"],"dc:rights":["Copyright 2021 Yushu Xia"],"dc:subject":["Nitrogen management","N2O emissions","Ecosystem Services","Process-based modeling","Remote Sensing","Soil Health","Corn nitrogen inputs","Management zone"],"dc:title":["Quantifying soil ecosystem services across different spatial scales to improve agricultural nitrogen management"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Natural Res & Env Sciences"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:52Z"}