Simulating measurable ecosystem carbon and nitrogen dynamics with the mechanistically defined MEMS 2.0 model

For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts to overcome these limitations have prompted the development of the new generation SOM models, including MEMS 1.0, which represents meas...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Biogeosciences Ročník 18; číslo 10; s. 3147 - 3171
Hlavní autoři: Zhang, Yao, Lavallee, Jocelyn M., Robertson, Andy D., Even, Rebecca, Ogle, Stephen M., Paustian, Keith, Cotrufo, M. Francesca
Médium: Journal Article
Jazyk:angličtina
Vydáno: Katlenburg-Lindau Copernicus GmbH 26.05.2021
Copernicus Publications, EGU
Copernicus Publications
Témata:
Accuracy
Analysis
Biogeochemistry
Calibration
Carbon
Carbon content
Decomposition
Dynamics
Ecosystem models
Ecosystems
Efficiency
Environmental aspects
ENVIRONMENTAL SCIENCES
environmental sciences & ecology
Evapotranspiration
Farming systems
Forest management
geology
Grasslands
Hypotheses
Immobilization
Microelectromechanical systems
Mineralization
Moisture content
Nitrogen
Organic matter
Plant growth
Primary production
Root zone
Seasonal variation
Seasonal variations
Simulation
Soil
Soil organic matter
Soil profiles
Soil properties
Soil temperature
Soil water
Soils
Stocks
Temperature
ISSN:1726-4189, 1726-4170, 1726-4189
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts to overcome these limitations have prompted the development of the new generation SOM models, including MEMS 1.0, which represents measurable biophysical SOM fractions, over the entire root zone, and embodies recent understanding of the processes that govern SOM dynamics. Here we present the result of continued development of the MEMS model, version 2.0. MEMS 2.0 is a full ecosystem model with modules simulating plant growth with above- and belowground inputs, soil water and temperature by layer, decomposition of plant inputs and SOM, and mineralization and immobilization of nitrogen (N). The model simulates two commonly measured SOM pools – particulate and mineral-associated organic matter (POM and MAOM, respectively). We present results of calibration and validation of the model with several grassland sites in the US. MEMS 2.0 generally captured the soil carbon (C) stocks (R2 of 0.89 and 0.6 for calibration and validation, respectively) and their distributions between POM and MAOM throughout the entire soil profile. The simulated soil N matches measurements but with lower accuracy (R2 of 0.73 and 0.31 for calibration and validation of total N in SOM, respectively) than for soil C. Simulated soil water and temperature were compared with measurements, and the accuracy is comparable to the other commonly used models. The seasonal variation in gross primary production (GPP; R2 = 0.83), ecosystem respiration (ER; R2 = 0.89), net ecosystem exchange (NEE; R2 = 0.67), and evapotranspiration (ET; R2 = 0.71) was well captured by the model. We will further develop the model to represent forest and agricultural systems and improve it to incorporate new understanding of SOM decomposition.
AbstractList For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts to overcome these limitations have prompted the development of the new generation SOM models, including MEMS 1.0, which represents measurable biophysical SOM fractions, over the entire root zone, and embodies recent understanding of the processes that govern SOM dynamics. Here we present the result of continued development of the MEMS model, version 2.0. MEMS 2.0 is a full ecosystem model with modules simulating plant growth with above- and belowground inputs, soil water and temperature by layer, decomposition of plant inputs and SOM, and mineralization and immobilization of nitrogen (N). The model simulates two commonly measured SOM pools – particulate and mineral-associated organic matter (POM and MAOM, respectively). We present results of calibration and validation of the model with several grassland sites in the US. MEMS 2.0 generally captured the soil carbon (C) stocks (R2 of 0.89 and 0.6 for calibration and validation, respectively) and their distributions between POM and MAOM throughout the entire soil profile. The simulated soil N matches measurements but with lower accuracy (R2 of 0.73 and 0.31 for calibration and validation of total N in SOM, respectively) than for soil C. Simulated soil water and temperature were compared with measurements, and the accuracy is comparable to the other commonly used models. The seasonal variation in gross primary production (GPP; R2 = 0.83), ecosystem respiration (ER; R2 = 0.89), net ecosystem exchange (NEE; R2 = 0.67), and evapotranspiration (ET; R2 = 0.71) was well captured by the model. We will further develop the model to represent forest and agricultural systems and improve it to incorporate new understanding of SOM decomposition.
For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts to overcome these limitations have prompted the development of the new generation SOM models, including MEMS 1.0, which represents measurable biophysical SOM fractions, over the entire root zone, and embodies recent understanding of the processes that govern SOM dynamics. Here we present the result of continued development of the MEMS model, version 2.0. MEMS 2.0 is a full ecosystem model with modules simulating plant growth with above- and belowground inputs, soil water and temperature by layer, decomposition of plant inputs and SOM, and mineralization and immobilization of nitrogen (N). The model simulates two commonly measured SOM pools - particulate and mineral-associated organic matter (POM and MAOM, respectively). We present results of calibration and validation of the model with several grassland sites in the US. MEMS 2.0 generally captured the soil carbon (C) stocks (R.sup.2 of 0.89 and 0.6 for calibration and validation, respectively) and their distributions between POM and MAOM throughout the entire soil profile. The simulated soil N matches measurements but with lower accuracy (R.sup.2 of 0.73 and 0.31 for calibration and validation of total N in SOM, respectively) than for soil C. Simulated soil water and temperature were compared with measurements, and the accuracy is comparable to the other commonly used models. The seasonal variation in gross primary production (GPP; R.sup.2 = 0.83), ecosystem respiration (ER; R.sup.2 = 0.89), net ecosystem exchange (NEE; R.sup.2 = 0.67), and evapotranspiration (ET; R.sup.2 = 0.71) was well captured by the model. We will further develop the model to represent forest and agricultural systems and improve it to incorporate new understanding of SOM decomposition.
For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts to overcome these limitations have prompted the development of the new generation SOM models, including MEMS 1.0, which represents measurable biophysical SOM fractions, over the entire root zone, and embodies recent understanding of the processes that govern SOM dynamics. Here we present the result of continued development of the MEMS model, version 2.0. MEMS 2.0 is a full ecosystem model with modules simulating plant growth with above- and belowground inputs, soil water and temperature by layer, decomposition of plant inputs and SOM, and mineralization and immobilization of nitrogen (N). The model simulates two commonly measured SOM pools – particulate and mineral-associated organic matter (POM and MAOM, respectively). We present results of calibration and validation of the model with several grassland sites in the US. MEMS 2.0 generally captured the soil carbon (C) stocks ( R2 of 0.89 and 0.6 for calibration and validation, respectively) and their distributions between POM and MAOM throughout the entire soil profile. The simulated soil N matches measurements but with lower accuracy ( R2 of 0.73 and 0.31 for calibration and validation of total N in SOM, respectively) than for soil C. Simulated soil water and temperature were compared with measurements, and the accuracy is comparable to the other commonly used models. The seasonal variation in gross primary production (GPP; R2   =  0.83), ecosystem respiration (ER; R2   =  0.89), net ecosystem exchange (NEE; R2   =  0.67), and evapotranspiration (ET; R2   =  0.71) was well captured by the model. We will further develop the model to represent forest and agricultural systems and improve it to incorporate new understanding of SOM decomposition.
For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts to overcome these limitations have prompted the development of the new generation SOM models, including MEMS 1.0, which represents measurable biophysical SOM fractions, over the entire root zone, and embodies recent understanding of the processes that govern SOM dynamics. Here we present the result of continued development of the MEMS model, version 2.0. MEMS 2.0 is a full ecosystem model with modules simulating plant growth with above- and belowground inputs, soil water and temperature by layer, decomposition of plant inputs and SOM, and mineralization and immobilization of nitrogen (N). The model simulates two commonly measured SOM pools – particulate and mineral-associated organic matter (POM and MAOM, respectively). We present results of calibration and validation of the model with several grassland sites in the US. MEMS 2.0 generally captured the soil carbon (C) stocks (R2 of 0.89 and 0.6 for calibration and validation, respectively) and their distributions between POM and MAOM throughout the entire soil profile. The simulated soil N matches measurements but with lower accuracy (R2 of 0.73 and 0.31 for calibration and validation of total N in SOM, respectively) than for soil C. Simulated soil water and temperature were compared with measurements, and the accuracy is comparable to the other commonly used models. The seasonal variation in gross primary production (GPP; R2 = 0.83), ecosystem respiration (ER; R2 = 0.89), net ecosystem exchange (NEE; R2 = 0.67), and evapotranspiration (ET; R2 = 0.71) was well captured by the model. We will further develop the model to represent forest and agricultural systems and improve it to incorporate new understanding of SOM decomposition.
Audience Academic
Author Lavallee, Jocelyn M.
Cotrufo, M. Francesca
Robertson, Andy D.
Ogle, Stephen M.
Paustian, Keith
Zhang, Yao
Even, Rebecca
Author_xml – sequence: 1
  givenname: Yao
  orcidid: 0000-0002-2669-1378
  surname: Zhang
  fullname: Zhang, Yao
– sequence: 2
  givenname: Jocelyn M.
  surname: Lavallee
  fullname: Lavallee, Jocelyn M.
– sequence: 3
  givenname: Andy D.
  surname: Robertson
  fullname: Robertson, Andy D.
– sequence: 4
  givenname: Rebecca
  surname: Even
  fullname: Even, Rebecca
– sequence: 5
  givenname: Stephen M.
  surname: Ogle
  fullname: Ogle, Stephen M.
– sequence: 6
  givenname: Keith
  surname: Paustian
  fullname: Paustian, Keith
– sequence: 7
  givenname: M. Francesca
  surname: Cotrufo
  fullname: Cotrufo, M. Francesca
BackLink https://www.osti.gov/biblio/1784795$$D View this record in Osti.gov
BookMark eNp1kk1vEzEQhleoSLSBM1cLThw2tb3erH2sqgKRWiEROFv-GG8c7drFdgT59zgEoQaBfLA1et4ZvzNz1VyEGKBpXhO87Ilg13psCW87woaWYkqeNZdkoKuWES4unrxfNFc57zDuOOb9ZTNt_LyfVPFhRDOovE9KT4DAxHzIBWZkVNIxIBUsCr6kOEJA9hDU7E1G333ZorKFKjVbFXwu3qhpOiALzgew6OHuYYPoEqM5WpheNs-dmjK8-n0vmq_v777cfmzvP31Y397ct6bHrLRcc6eJWjnT90C0EAKG6rDvLdeANTOUcicGpolhvTOCYqeNEEyshHVAbbdo1qe8NqqdfEx-Vukgo_LyVyCmUapUvzqBNMBqKsspNYRxqrQ1zHHswOJalOma680pV6zmZDa-VKsmhgCmSDJwNoi-Qm9P0GOK3_aQi9zFfQrVo6R9R_FAMXlCjapW9sHFkpSZfTbyZrU6Tq6rc1k0y39Q9VioPa8zd77GzwTvzgSVKfCjjGqfs1xvPp-z1yfWpJhzAvenOwTL4xpJPUrC5ZGXxzWqiv4vRW1B3ZdaJCk__Vf3E0sCy-E
CitedBy_id crossref_primary_10_1016_j_jenvman_2024_121657
crossref_primary_10_1016_j_agee_2025_109798
crossref_primary_10_1016_j_geoderma_2024_116870
crossref_primary_10_3103_S0147687424700467
crossref_primary_10_1016_j_scitotenv_2024_174995
crossref_primary_10_1038_s41579_022_00695_z
crossref_primary_10_1016_j_agee_2024_108986
crossref_primary_10_1016_j_still_2025_106766
crossref_primary_10_1016_j_agee_2025_109871
crossref_primary_10_1016_j_still_2024_106441
crossref_primary_10_3390_agriculture14050679
crossref_primary_10_1111_gcb_17591
crossref_primary_10_19047_0136_1694_2025_124_309_366
crossref_primary_10_1007_s10533_023_01066_3
crossref_primary_10_1186_s13021_024_00260_6
crossref_primary_10_1016_j_soilad_2025_100047
crossref_primary_10_1016_j_soilbio_2025_109983
crossref_primary_10_1038_s41561_022_01100_3
crossref_primary_10_1016_j_geoderma_2025_117408
crossref_primary_10_3389_fenvs_2023_1171194
crossref_primary_10_1093_plcell_koac303
crossref_primary_10_1016_j_soilbio_2022_108648
crossref_primary_10_5194_soil_10_349_2024
crossref_primary_10_1016_j_fcr_2025_109909
crossref_primary_10_1016_j_soilad_2025_100039
crossref_primary_10_1038_s41467_023_38700_5
crossref_primary_10_1016_j_scitotenv_2025_180097
crossref_primary_10_1016_j_geoderma_2022_116208
crossref_primary_10_3390_land12081630
crossref_primary_10_1038_s43247_025_02681_8
crossref_primary_10_1016_j_soilbio_2023_109272
crossref_primary_10_1029_2021MS002622
crossref_primary_10_1029_2021JG006593
crossref_primary_10_1016_j_envsoft_2024_106291
crossref_primary_10_1016_j_earscirev_2023_104462
crossref_primary_10_1016_j_geoderma_2022_116050
crossref_primary_10_1016_j_geoderma_2024_116851
crossref_primary_10_5194_soil_8_113_2022
crossref_primary_10_1016_j_rse_2025_114857
crossref_primary_10_1016_j_geodrs_2025_e00947
crossref_primary_10_1016_j_geoderma_2022_116254
crossref_primary_10_5194_soil_10_441_2024
crossref_primary_10_1016_j_still_2023_105976
crossref_primary_10_5194_bg_22_1427_2025
crossref_primary_10_54033_cadpedv22n11_084
crossref_primary_10_1186_s42408_022_00132_9
crossref_primary_10_3390_agronomy12020485
crossref_primary_10_1007_s11104_025_07766_z
crossref_primary_10_1007_s10533_025_01216_9
crossref_primary_10_1016_j_soilbio_2024_109517
crossref_primary_10_1016_j_geoderma_2023_116681
crossref_primary_10_1016_j_geodrs_2024_e00885
crossref_primary_10_1016_j_jia_2023_09_012
crossref_primary_10_1038_s41561_024_01384_7
crossref_primary_10_1016_j_agee_2024_108904
crossref_primary_10_1111_gcb_15782
crossref_primary_10_5194_bg_21_4077_2024
crossref_primary_10_5194_gmd_17_931_2024
crossref_primary_10_1016_j_scitotenv_2025_178913
Cites_doi 10.2134/jpa1992.0001
10.1002/eco.1455
10.1007/BF00333714
10.1007/s10533-015-0101-8
10.1002/2015GB005239
10.1007/s10533-017-0409-7
10.1111/j.1365-2389.2006.00855.x
10.1111/gcb.13980
10.1111/gcb.14482
10.2134/agronj2008.0140s
10.5194/bg-11-3899-2014
10.1016/j.soilbio.2008.08.007
10.1111/j.1365-2486.2011.02496.x
10.1038/nature04514
10.2136/sssaj1995.03615995005900050019x
10.1007/s11104-019-04070-5
10.1111/gcb.12475
10.1016/j.soilbio.2016.06.007
10.1139/a98-001
10.1890/15-2110.1
10.1111/nph.12235
10.1038/nclimate2436
10.1890/12-0681.1
10.5194/bg-11-2341-2014
10.1038/s41561-018-0258-6
10.5194/hess-15-3701-2011
10.1007/s10533-011-9679-7
10.1002/2014JG002660
10.5194/bg-10-399-2013
10.5194/gmd-13-4413-2020
10.1038/nmicrobiol.2017.105
10.1007/s10533-018-0428-z
10.2111/08-255.1
10.2134/agronj2003.1352
10.2136/sssaj1983.03615995004700030023x
10.1111/j.1469-8137.2010.03427.x
10.1007/s10533-004-0898-z
10.1007/s10533-014-9982-1
10.1007/s11104-017-3236-7
10.1038/35048672
10.1111/gcb.13237
10.1007/s11104-013-1600-9
10.1007/s10533-007-9103-5
10.1016/j.soilbio.2007.03.007
10.1146/annurev-earth-060614-105038
10.1002/esp.3520
10.1002/jpln.200700048
10.4141/S01-035
10.1016/j.soilbio.2013.12.032
10.2136/sssaj1987.03615995005100050015x
10.1079/9781845939700.0000
10.1016/j.soilbio.2018.06.025
10.1111/gcb.12113
10.1061/(ASCE)0733-9437(2003)129:1(53)
10.1016/j.apsoil.2016.10.002
10.1111/gcb.14859
10.1890/05-0150
10.1023/A:1016125726789
10.1111/gcb.12144
10.1016/S0016-7061(97)00087-6
10.1007/s10021-011-9512-0
10.4067/S0718-95162011000400003
10.1016/j.soilbio.2019.01.010
10.3389/fmicb.2014.00022
10.1016/j.quaint.2011.02.037
10.1016/S0022-1694(01)00515-7
10.5194/bg-16-1225-2019
10.1007/BF02390180
10.1007/s100219900070
10.2134/agronj2017.06.0328
10.1016/j.soilbio.2018.01.003
10.1007/BF02181830
10.2136/sssaj2005.0117
10.5194/gmd-11-937-2018
10.1046/j.1365-2389.2001.00417.x
10.5194/bg-18-1241-2021
10.1080/00103629409369035
10.1016/j.ecolmodel.2014.11.002
10.1007/s10533-016-0197-5
10.1016/S0921-8181(98)00040-X
10.1007/s10533-018-0509-z
10.2134/jeq2017.08.0313
10.1002/2013JG002379
10.1080/00103629209368733
10.1093/acprof:oso/9780199683093.001.0001
10.1007/s10533-018-0424-3
10.1890/06-1847.1
10.1175/2007JTECHA930.1
10.1002/ecs2.1234
10.2307/1941109
10.1515/johh-2017-0055
10.1073/pnas.1710465114
10.1016/j.agrformet.2018.01.026
10.1007/s11104-010-0391-5
10.1111/gcb.12832
10.1111/j.1365-2389.2008.01026.x
10.3168/jds.S0022-0302(91)78551-2
10.5194/bg-2020-493
10.1016/j.geoderma.2020.114529
10.1111/ele.12802
10.1111/j.1365-2486.2007.01415.x
10.1007/s10533-015-0079-2
10.1016/j.envsoft.2020.104642
10.1111/ejss.12114_2
10.1016/j.soilbio.2015.06.008
10.1029/2018GB006077
10.1093/jpe/rtn002
10.1002/2014MS000358
10.2134/jeq2012.0486
10.1038/s41467-017-01998-z
10.1029/92JD00509
10.1016/j.envsoft.2015.08.013
10.1038/s41467-017-01116-z
10.1111/j.1365-2486.2005.001010.x
10.1017/CBO9781107415324.015
10.1016/j.soilbio.2010.04.003
10.5194/bg-10-1717-2013
10.1016/bs.agron.2014.10.005
10.1038/nature16069
10.1111/gcb.12982
10.5194/gmd-6-2165-2013
10.1023/A:1004213929699
10.1016/j.geoderma.2018.07.008
10.1038/s41561-019-0484-6
10.1029/2012JG001960
10.3389/fevo.2019.00382
10.1038/ngeo2520
10.1007/978-3-642-61094-3_17
10.1038/35095041
10.5194/bg-12-2471-2015
10.2136/sssaj2011.0340
10.1029/2020JG005750
ContentType Journal Article
Copyright COPYRIGHT 2021 Copernicus GmbH
2021. 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.
Copyright_xml – notice: COPYRIGHT 2021 Copernicus GmbH
– notice: 2021. 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.
CorporateAuthor Colorado State Univ., Fort Collins, CO (United States)
CorporateAuthor_xml – sequence: 0
  name: Colorado State Univ., Fort Collins, CO (United States)
DBID AAYXX
CITATION
ISR
7QO
7SN
7TG
7TN
7UA
8FD
8FE
8FG
8FH
ABJCF
ABUWG
AEUYN
AFKRA
ATCPS
AZQEC
BBNVY
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
FR3
GNUQQ
H95
H96
HCIFZ
KL.
L.G
L6V
LK8
M7N
M7P
M7S
P64
PATMY
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
PYCSY
OTOTI
DOA
DOI 10.5194/bg-18-3147-2021
DatabaseName CrossRef
Gale In Context: Science
Biotechnology Research Abstracts
Ecology Abstracts
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Water Resources Abstracts
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Natural Science Collection
ProQuest Materials Science & Engineering
ProQuest Central (Alumni)
One Sustainability
ProQuest Central UK/Ireland
Agricultural & Environmental Science Collection
ProQuest Central Essentials
Biological Science Database
ProQuest Central
Continental Europe Database
Technology collection
Natural Science Collection
ProQuest Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
ProQuest Central Student
Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
SciTech Premium Collection
Meteorological & Geoastrophysical Abstracts - Academic
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Engineering Collection
ProQuest Biological Science Collection
Algology Mycology and Protozoology Abstracts (Microbiology C)
Biological Science Database
Engineering Database
Biotechnology and BioEngineering Abstracts
Environmental Science Database
Earth, Atmospheric & Aquatic Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering collection
Environmental Science Collection
OSTI.GOV
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
ProQuest Central Student
ProQuest Central Essentials
SciTech Premium Collection
ProQuest Central China
Water Resources Abstracts
Environmental Sciences and Pollution Management
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
Meteorological & Geoastrophysical Abstracts
Natural Science Collection
Biological Science Collection
Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources
ProQuest Central (New)
Engineering Collection
Engineering Database
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
Continental Europe Database
Biological Science Database
Ecology Abstracts
Biotechnology and BioEngineering Abstracts
Environmental Science Collection
ProQuest One Academic UKI Edition
Environmental Science Database
Engineering Research Database
ProQuest One Academic
Meteorological & Geoastrophysical Abstracts - Academic
ProQuest One Academic (New)
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Technology Collection
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
ProQuest Engineering Collection
Biotechnology Research Abstracts
Oceanic Abstracts
ProQuest Central Korea
Algology Mycology and Protozoology Abstracts (Microbiology C)
Agricultural & Environmental Science Collection
ProQuest SciTech Collection
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ASFA: Aquatic Sciences and Fisheries Abstracts
Materials Science & Engineering Collection
DatabaseTitleList CrossRef


Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Open Access Full Text
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: PIMPY
  name: Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
Geology
Environmental Sciences
EISSN 1726-4189
EndPage 3171
ExternalDocumentID oai_doaj_org_article_ce4f97d822c1482abdc4f80fed0e714b
1784795
A663147300
10_5194_bg_18_3147_2021
GroupedDBID 23N
2WC
2XV
4P2
5GY
5VS
7XC
8FE
8FG
8FH
8R4
8R5
AAFWJ
AAYXX
ABJCF
ABUWG
ADBBV
AENEX
AEUYN
AFFHD
AFKRA
AFPKN
AHGZY
ALMA_UNASSIGNED_HOLDINGS
ATCPS
BANNL
BBNVY
BCNDV
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
BPHCQ
CCPQU
CITATION
E3Z
EBD
EBS
EDH
EJD
GROUPED_DOAJ
H13
HCIFZ
HH5
IAO
IEA
ISR
ITC
KQ8
L6V
L8X
LK5
LK8
M7P
M7R
M7S
MM-
M~E
OK1
OVT
P2P
PATMY
PCBAR
PHGZM
PHGZT
PIMPY
PQGLB
PQQKQ
PROAC
PTHSS
PYCSY
Q2X
RKB
RNS
TR2
XSB
~02
7QO
7SN
7TG
7TN
7UA
8FD
AZQEC
C1K
DWQXO
F1W
FR3
GNUQQ
H95
H96
KL.
L.G
M7N
P64
PKEHL
PQEST
PQUKI
PRINS
3V.
BBORY
OTOTI
ID FETCH-LOGICAL-c504t-8b8fb1a6fc55e1b999e719455d8be0b4c228f974b1c45fc920fbc994969dfe2d3
IEDL.DBID M7P
ISICitedReferencesCount 76
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000657136600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1726-4189
1726-4170
IngestDate Tue Oct 14 19:03:55 EDT 2025
Thu Dec 05 06:30:50 EST 2024
Fri Jul 25 12:28:21 EDT 2025
Sat Nov 29 13:11:19 EST 2025
Sat Nov 29 10:07:43 EST 2025
Wed Nov 26 09:33:57 EST 2025
Sat Nov 29 04:25:32 EST 2025
Tue Nov 18 21:19:34 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 10
Language English
License https://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c504t-8b8fb1a6fc55e1b999e719455d8be0b4c228f974b1c45fc920fbc994969dfe2d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
AR0000826; 1743237; 2016003; 4550183252
National Science Foundation (NSF)
Shell Inc.
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
ORCID 0000-0002-2669-1378
0000000226691378
OpenAccessLink https://www.proquest.com/docview/2532072015?pq-origsite=%requestingapplication%
PQID 2532072015
PQPubID 105740
PageCount 25
ParticipantIDs doaj_primary_oai_doaj_org_article_ce4f97d822c1482abdc4f80fed0e714b
osti_scitechconnect_1784795
proquest_journals_2532072015
gale_infotracmisc_A663147300
gale_infotracacademiconefile_A663147300
gale_incontextgauss_ISR_A663147300
crossref_primary_10_5194_bg_18_3147_2021
crossref_citationtrail_10_5194_bg_18_3147_2021
PublicationCentury 2000
PublicationDate 2021-05-26
PublicationDateYYYYMMDD 2021-05-26
PublicationDate_xml – month: 05
  year: 2021
  text: 2021-05-26
  day: 26
PublicationDecade 2020
PublicationPlace Katlenburg-Lindau
PublicationPlace_xml – name: Katlenburg-Lindau
– name: United States
PublicationTitle Biogeosciences
PublicationYear 2021
Publisher Copernicus GmbH
Copernicus Publications, EGU
Copernicus Publications
Publisher_xml – sequence: 0
  name: Copernicus Publications, EGU
– name: Copernicus GmbH
– name: Copernicus Publications
References ref57
ref56
ref59
ref58
ref53
ref52
ref55
ref54
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref44
ref43
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref100
ref101
ref40
ref35
ref34
ref37
ref36
ref31
ref148
ref30
ref33
ref146
ref32
ref147
ref39
ref38
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref13
ref12
ref15
ref128
ref14
ref129
ref97
ref126
ref96
ref127
ref11
ref99
ref124
ref10
ref98
ref125
ref17
ref16
ref19
ref18
ref93
ref133
ref92
ref134
ref95
ref131
ref94
ref132
ref130
ref91
ref90
ref89
ref139
ref86
ref137
ref85
ref138
ref88
ref135
ref87
ref136
ref82
ref144
ref81
ref145
ref84
ref142
ref83
ref143
ref140
ref141
ref80
ref79
ref108
ref78
ref109
ref106
ref107
ref75
ref104
ref74
ref105
ref77
ref102
ref76
ref103
ref2
ref1
ref71
ref111
ref70
ref112
ref73
ref72
ref110
ref68
ref119
ref67
ref117
ref69
ref118
ref64
ref115
ref63
ref116
ref66
ref113
ref65
ref114
ref60
ref122
ref123
ref62
ref120
ref61
ref121
References_xml – ident: ref77
  doi: 10.2134/jpa1992.0001
– ident: ref14
  doi: 10.1002/eco.1455
– ident: ref85
– ident: ref57
  doi: 10.1007/BF00333714
– ident: ref120
  doi: 10.1007/s10533-015-0101-8
– ident: ref76
  doi: 10.1002/2015GB005239
– ident: ref1
  doi: 10.1007/s10533-017-0409-7
– ident: ref148
  doi: 10.1111/j.1365-2389.2006.00855.x
– ident: ref5
  doi: 10.1111/gcb.13980
– ident: ref116
  doi: 10.1111/gcb.14482
– ident: ref93
  doi: 10.2134/agronj2008.0140s
– ident: ref137
  doi: 10.5194/bg-11-3899-2014
– ident: ref46
  doi: 10.1016/j.soilbio.2008.08.007
– ident: ref13
– ident: ref26
  doi: 10.1111/j.1365-2486.2011.02496.x
– ident: ref32
  doi: 10.1038/nature04514
– ident: ref36
  doi: 10.2136/sssaj1995.03615995005900050019x
– ident: ref125
  doi: 10.1007/s11104-019-04070-5
– ident: ref22
  doi: 10.1111/gcb.12475
– ident: ref19
  doi: 10.1016/j.soilbio.2016.06.007
– ident: ref140
– ident: ref82
– ident: ref133
  doi: 10.1139/a98-001
– ident: ref110
  doi: 10.1890/15-2110.1
– ident: ref66
  doi: 10.1111/nph.12235
– ident: ref121
  doi: 10.1038/nclimate2436
– ident: ref134
  doi: 10.1890/12-0681.1
– ident: ref128
  doi: 10.5194/bg-11-2341-2014
– ident: ref115
  doi: 10.1038/s41561-018-0258-6
– ident: ref132
  doi: 10.5194/hess-15-3701-2011
– ident: ref38
  doi: 10.1007/s10533-011-9679-7
– ident: ref3
– ident: ref15
  doi: 10.1002/2014JG002660
– ident: ref83
– ident: ref12
  doi: 10.5194/bg-10-399-2013
– ident: ref67
  doi: 10.5194/gmd-13-4413-2020
– ident: ref73
  doi: 10.1038/nmicrobiol.2017.105
– ident: ref68
  doi: 10.1007/s10533-018-0428-z
– ident: ref91
  doi: 10.2111/08-255.1
– ident: ref98
  doi: 10.2134/agronj2003.1352
– ident: ref126
  doi: 10.2136/sssaj1983.03615995004700030023x
– ident: ref34
  doi: 10.1111/j.1469-8137.2010.03427.x
– ident: ref35
  doi: 10.1007/s10533-004-0898-z
– ident: ref8
  doi: 10.1007/s10533-014-9982-1
– ident: ref124
  doi: 10.1007/s11104-017-3236-7
– ident: ref33
  doi: 10.1038/35048672
– ident: ref44
  doi: 10.1111/gcb.13237
– ident: ref55
– ident: ref48
  doi: 10.1007/s11104-013-1600-9
– ident: ref60
  doi: 10.1007/s10533-007-9103-5
– ident: ref130
  doi: 10.1016/j.soilbio.2007.03.007
– ident: ref10
  doi: 10.1146/annurev-earth-060614-105038
– ident: ref49
– ident: ref59
  doi: 10.1002/esp.3520
– ident: ref64
  doi: 10.1002/jpln.200700048
– ident: ref31
  doi: 10.4141/S01-035
– ident: ref9
  doi: 10.1016/j.soilbio.2013.12.032
– ident: ref89
  doi: 10.2136/sssaj1987.03615995005100050015x
– ident: ref117
  doi: 10.1079/9781845939700.0000
– ident: ref92
  doi: 10.1016/j.soilbio.2018.06.025
– ident: ref27
  doi: 10.1111/gcb.12113
– ident: ref47
  doi: 10.1061/(ASCE)0733-9437(2003)129:1(53)
– ident: ref75
  doi: 10.1016/j.apsoil.2016.10.002
– ident: ref135
– ident: ref69
  doi: 10.1111/gcb.14859
– ident: ref63
  doi: 10.1890/05-0150
– ident: ref111
  doi: 10.1023/A:1016125726789
– ident: ref80
  doi: 10.1111/gcb.12144
– ident: ref112
  doi: 10.1016/S0016-7061(97)00087-6
– ident: ref43
  doi: 10.1007/s10021-011-9512-0
– ident: ref136
  doi: 10.4067/S0718-95162011000400003
– ident: ref113
  doi: 10.1016/j.soilbio.2019.01.010
– ident: ref81
  doi: 10.3389/fmicb.2014.00022
– ident: ref62
  doi: 10.1016/j.quaint.2011.02.037
– ident: ref95
– ident: ref86
  doi: 10.1016/S0022-1694(01)00515-7
– ident: ref97
  doi: 10.5194/bg-16-1225-2019
– ident: ref87
  doi: 10.1007/BF02390180
– ident: ref40
  doi: 10.1007/s100219900070
– ident: ref145
  doi: 10.2134/agronj2017.06.0328
– ident: ref72
  doi: 10.1016/j.soilbio.2018.01.003
– ident: ref138
– ident: ref56
  doi: 10.1007/BF02181830
– ident: ref102
  doi: 10.2136/sssaj2005.0117
– ident: ref18
  doi: 10.5194/gmd-11-937-2018
– ident: ref23
  doi: 10.1046/j.1365-2389.2001.00417.x
– ident: ref106
  doi: 10.5194/bg-18-1241-2021
– ident: ref99
  doi: 10.1080/00103629409369035
– ident: ref139
  doi: 10.1016/j.ecolmodel.2014.11.002
– ident: ref79
  doi: 10.1007/s10533-016-0197-5
– ident: ref90
  doi: 10.1016/S0921-8181(98)00040-X
– ident: ref123
  doi: 10.1007/s10533-018-0509-z
– ident: ref17
  doi: 10.2134/jeq2017.08.0313
– ident: ref88
  doi: 10.1002/2013JG002379
– ident: ref105
  doi: 10.1080/00103629209368733
– ident: ref11
  doi: 10.1093/acprof:oso/9780199683093.001.0001
– ident: ref94
  doi: 10.1007/s10533-018-0424-3
– ident: ref30
  doi: 10.1890/06-1847.1
– ident: ref103
  doi: 10.1175/2007JTECHA930.1
– ident: ref51
  doi: 10.1002/ecs2.1234
– ident: ref52
  doi: 10.2307/1941109
– ident: ref107
  doi: 10.1515/johh-2017-0055
– ident: ref7
– ident: ref41
  doi: 10.1073/pnas.1710465114
– ident: ref109
  doi: 10.1016/j.agrformet.2018.01.026
– ident: ref100
  doi: 10.1007/s11104-010-0391-5
– ident: ref118
  doi: 10.1111/gcb.12832
– ident: ref58
  doi: 10.1111/j.1365-2389.2008.01026.x
– ident: ref114
  doi: 10.3168/jds.S0022-0302(91)78551-2
– ident: ref143
  doi: 10.5194/bg-2020-493
– ident: ref42
  doi: 10.1016/j.geoderma.2020.114529
– ident: ref122
  doi: 10.1111/ele.12802
– ident: ref101
– ident: ref141
  doi: 10.1111/j.1365-2486.2007.01415.x
– ident: ref119
  doi: 10.1007/s10533-015-0079-2
– ident: ref146
  doi: 10.1016/j.envsoft.2020.104642
– ident: ref6
  doi: 10.1111/ejss.12114_2
– ident: ref2
  doi: 10.1016/j.soilbio.2015.06.008
– ident: ref37
  doi: 10.1029/2018GB006077
– ident: ref142
  doi: 10.1093/jpe/rtn002
– ident: ref108
  doi: 10.1002/2014MS000358
– ident: ref144
  doi: 10.2134/jeq2012.0486
– ident: ref54
  doi: 10.1038/s41467-017-01998-z
– ident: ref71
  doi: 10.1029/92JD00509
– ident: ref131
  doi: 10.1016/j.envsoft.2015.08.013
– ident: ref39
  doi: 10.1038/s41467-017-01116-z
– ident: ref96
  doi: 10.1111/j.1365-2486.2005.001010.x
– ident: ref4
– ident: ref24
  doi: 10.1017/CBO9781107415324.015
– ident: ref84
– ident: ref65
  doi: 10.1016/j.soilbio.2010.04.003
– ident: ref127
  doi: 10.5194/bg-10-1717-2013
– ident: ref61
  doi: 10.1016/bs.agron.2014.10.005
– ident: ref70
  doi: 10.1038/nature16069
– ident: ref20
  doi: 10.1111/gcb.12982
– ident: ref21
  doi: 10.5194/gmd-6-2165-2013
– ident: ref129
– ident: ref50
  doi: 10.1023/A:1004213929699
– ident: ref74
  doi: 10.1016/j.geoderma.2018.07.008
– ident: ref29
  doi: 10.1038/s41561-019-0484-6
– ident: ref104
  doi: 10.1029/2012JG001960
– ident: ref16
  doi: 10.3389/fevo.2019.00382
– ident: ref28
  doi: 10.1038/ngeo2520
– ident: ref25
  doi: 10.1007/978-3-642-61094-3_17
– ident: ref53
  doi: 10.1038/35095041
– ident: ref45
  doi: 10.5194/bg-12-2471-2015
– ident: ref78
  doi: 10.2136/sssaj2011.0340
– ident: ref147
  doi: 10.1029/2020JG005750
SSID ssj0038085
Score 2.5870697
Snippet For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil....
For decades, predominant soil biogeochemical models have used conceptual soil organic matter (SOM) pools and only simulated them to a shallow depth in soil....
SourceID doaj
osti
proquest
gale
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 3147
SubjectTerms Accuracy
Analysis
Biogeochemistry
Calibration
Carbon
Carbon content
Decomposition
Dynamics
Ecosystem models
Ecosystems
Efficiency
Environmental aspects
ENVIRONMENTAL SCIENCES
environmental sciences & ecology
Evapotranspiration
Farming systems
Forest management
geology
Grasslands
Hypotheses
Immobilization
Microelectromechanical systems
Mineralization
Moisture content
Nitrogen
Organic matter
Plant growth
Primary production
Root zone
Seasonal variation
Seasonal variations
Simulation
Soil
Soil organic matter
Soil profiles
Soil properties
Soil temperature
Soil water
Soils
Stocks
Temperature
SummonAdditionalLinks – databaseName: Copernicus Publications
  dbid: RKB
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3faxQxEA5yKPjib_FslSCCvmybbJLd5LFKi4It4in0LeTnUbjuyu1V6H_vTHZ7eIj4oK-7M2w2M5l8Ccn3EfIaKn5MTvAqNFpUUkVX6SxVhYKjycfAkiskrp_aszN9fm4-_yL1hWfCRnrgseMOQ5LZtBHmsYCUlQ78ZdYsp8hSy6XHe-tQanGdjhpuYw0WmhUxTpidm0rylo2kPoBW5KFfVhy3BJGhgNV8Zz4qtP3b4jzrYZT9VqPLxHNy_x-a_IDcm9AmPRpdHpJbqXtE7oz6k9ePyWpxcVnku7olvSybhXiRisKKdCR4psGtfd9R10UKQ3_dQ7bROGrYDxS3cCngR3DF68OF8dmtVtc0pgzYNdLT49MFrQ8YLXI7T8i3k-Ov7z9Uk_xCFRSTm0p7nT13TQ5KJe4BSULrjVQqap-Yl6GuNfyn9DxIlYOpWfbBGGkaE3Oqo3hKZl3fpWeECp1EjgClvAtSCOGdga5PCRKlbUzdzsnBTRBsmLjJUSJjZWGNglGzfmm5thg1i1Gbk7dbh-8jLcefTd9hhLZmyKddHkDI7BQy-7eQzckrzAmLjBkdHslZuqthsB8XX-wRYDb4lmBsTt5MRrmH1gc33XCAPkCSrR3L_R1LGNJh5_Uepp4FEIRMvgGPPIWN5S1ACaPA-SYj7VRwBlujwEcLaE49_x__u0fuYt_hMYm62SezzfoqvSC3w4_NxbB-WcbaT3RKKmo
  priority: 102
  providerName: Copernicus Gesellschaft
– databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1daxQxFA2yKPgifuLaKkEEfZk2mSQzyWOVFgVbxFXoW8jnUtjOyM5W6L_33szs4iLii6-zN-zMyc3NSUjOIeQNVPyYnOBVaLSopIqu0lmqCg1Hk4-BJVdEXD-3Fxf68tJ8-c3qC8-EjfLAI3DHIcls2gjzWEDJSgftZdYsp8hSy6XH6stas11MjTVYaFbMOGF2birJWzaK-gBbkcd-WXHcEkSFAlbzvfmoyPbvivOsh1H2R40uE8_ZQ_JgYoz0ZHzTR-RO6h6Te6OH5O0TslpcXRcLrm5Jr8uGH16GorCqHEWaaXBr33fUdZHC8F33kDE0jj70A8VtWAocEJriFeCi2uxWq1saUwb-Gen56fmC1keMFsucp-T72em3Dx-ryUKhCorJTaW9zp67JgelEvfABgE0I5WK2ifmZahrDfBKz4NUOZiaZR-MkaYxMac6imdk1vVdek6o0EnkCHTIuyCFEN4ZgC8l6Oy2MXU7J0dbIG2Y9MXR5mJlYZ2ByFu_tFxbRN4i8nPybtfgxyit8ffQ99gzuzDUxC4PIFPslCn2X5kyJ6-xXy2qXnR4rGbpbobBflp8tSfAu-C_BGNz8nYKyj28fXDTLQXAAIWy9iIP9yJhWIa9nw8wfSwQGVTjDXhsKWwsb4EOGAWNt1llp6Ix2BpNOlpgZOrF__jeA3IfscOjDnVzSGab9U16Se6Gn5urYf2qjJdfK6EXpQ
  priority: 102
  providerName: Directory of Open Access Journals
Title Simulating measurable ecosystem carbon and nitrogen dynamics with the mechanistically defined MEMS 2.0 model
URI https://www.proquest.com/docview/2532072015
https://www.osti.gov/biblio/1784795
https://doaj.org/article/ce4f97d822c1482abdc4f80fed0e714b
Volume 18
WOSCitedRecordID wos000657136600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAGF
  databaseName: Copernicus Publications
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: RKB
  dateStart: 20040101
  isFulltext: true
  titleUrlDefault: http://publications.copernicus.org/open-access_journals/open_access_journals_a_z.html
  providerName: Copernicus Gesellschaft
– providerCode: PRVAON
  databaseName: DOAJ Open Access Full Text
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: DOA
  dateStart: 20040101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: M~E
  dateStart: 20040101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: AUTh Library subscriptions: ProQuest Central
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: BENPR
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Biological Science Database
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: M7P
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/biologicalscijournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Continental Europe Database
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: BFMQW
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/conteurope
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Earth, Atmospheric & Aquatic Science Database
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: PCBAR
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/eaasdb
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database (subscription)
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: M7S
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Environmental Science Database (subscripiton)
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: PATMY
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/environmentalscience
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 1726-4189
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0038085
  issn: 1726-4189
  databaseCode: PIMPY
  dateStart: 20100601
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3da9swEBdbusFe9l2WtgtiDLYXt7It2_LTaEbKypYQkg26J6HPUEjtNk4HfdnfvjvZyQhje9mLIdYJ27rT6XQ5_X6EvAWPb51K48jkIo14ZlUkPM8iJBx12hrmVABx_VJMJuLiopx2CbemK6vc-MTgqG1tMEd-kiCDQQHLVfbh-iZC1ij8d7Wj0LhP9hAlIQmle9ONJ04FC5ScsEbnEY8L1kL7QMzCT_QiijExiDgFLIl3VqUA3r910b0a5tofnjosP2dP_vfFn5LHXeBJT1tLeUbuueo5edhSUd69IMv55VVg8qoW9CrkDfFMFYXNaYv1TI1a6bqiqrIUvMCqBsOjtqWzbyhmcymEktAVTxIH8Ge1XN5R6zyEsZaOR-M5TY4ZDcw7L8m3s9HXj5-ijokhMhnj60ho4XWscm-yzMUagkpXwChmmRXaMc1NkggPOxMdG555UybMa1OWvMxL611i033Sq-rKvSI0FS71FqIqrQxP01SrEsbfObCZIi-Tok-ON5qQpoMpR7aMpYTtCqpO6oWMhUTVSVRdn7zfdrhuETr-LjpE1W7FEFo73KhXC9nNVGkch0-xEDgZxEhVYLDcC-adZfDRXPfJGzQMieAZFVbnLNRt08jz-UyeQvgGz0oZ65N3nZCv4e2N6g47wBgg3taO5NGOJMxus9N8iPYnIR5CUF-D1U9mLeMCoooyg84bm5Od72nkb4M7-HfzIXmEo4K1EEl-RHrr1a17TR6YH-vLZjUge8PRZDobhCzFIEyscJ3j9ecI2qfn4-l3-DX7PPwFzqwrug
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbhMxFLVKCoINb0RoAQuBYDOtZ8bzWlRVgVaNmkQRKVJZGT-jSMlMyaSg_BTfyL3zCIoQ7Lpgm7lOYvs-jj32OYS8hoxvrAx9T8dp6PHISC91PPJQcNQqo5mVFYlrPxkO04uLbLRFfrZ3YfBYZZsTq0RtCo175PsBKhgkUK6iw8tvHqpG4dvVVkKjdoszu_oBS7byoPcR5vdNEJwcn3849RpVAU9HjC-9VKVO-TJ2OoqsrwAg2QRW8lFkUmWZ4joIUgcoW_maR05nAXNKZxnP4sw4G5gQvvcG2ebo7B2yPeoNRl_a3B-mrBIBBVQQe9xPWE0mBCiJ76uJ5-NWJDIjsMDfqIOVXMC6KHQKiO4_akNV8E7u_W9DdZ_cbaA1Papj4QHZsvlDcqsW21w9IrPxdF5pleUTOq92RvHWGIXld81mTbVcqCKnMjcU8tyigNCiZpXL-VSXFPerKYBlaIp3pSt6azmbraixDoC6oYPjwZgGe4xW2kKPyedr6eoT0smL3D4lNExt6AzgRiU1D8NQyQzm21qIiiTOgqRL9tqZF7ohYkc9kJmABRm6ilAT4acCXUWgq3TJu3WDy5qD5O-m79GV1mZIHl59UCwmoslFQlsOXTEADTWywEoISe5S5qxh0GmuuuQVOqJAepAczx9N5FVZit74kzgCgAq_FTLWJW8bI1fAv9eyuc4BY4CMYhuWuxuWkL_0xuMd9HcBiA9pizWe79JL4SeAm7IIGrc-LprsWorfDv7s349fktun54O-6PeGZzvkDo4QnvwI4l3SWS6u7HNyU39fTsvFiyaQKfl63QHxC2TChAM
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbhMxFLVKCogNb0RoAQuBYDON5-1ZINTSRkRtokKo6M74GUVKZkomBeXX-DrunUdQhGDXBduMJ4k959577LHPIeQlZHxjZeh7OuGhF8VGetxFsYeGo1YZzaysRFxP0tGIn59np1vkZ3sWBrdVtjmxStSm0LhG3gvQwSCFchX3XLMt4vSw_-7im4cOUvimtbXTqCFybFc_YPpWvh0cwrN-FQT9o8_vP3iNw4CnYxYtPa64U75MnI5j6ysgSzaFWX0cG64sU5EOAu6AcStfR7HTWcCc0lkWZUlmnA1MCN97jWzzJOGsQ7YP-sOPX9o6EHJWGYICQ0i8yE9ZLSwEjCnqqYnn47IkqiSwwN-oiZV1wLpAdAqI9D_qRFX8-nf-52G7S243lJvu1zFyj2zZ_D65UZtwrh6Q2Xg6rzzM8gmdVyumeJqMwrS8VrmmWi5UkVOZGwr5b1FAyFGzyuV8qkuK69gUSDTcimeoK9lrOZutqLEOCLyhw6PhmAZ7jFaeQw_J2ZV09RHp5EVuHxMachs6A3xSSR2FYahkBs_eWoiWNMmCtEv2WhQI3Qi0o0_ITMBEDWEj1ET4XCBsBMKmS96sb7iotUn-3vQAYbVuhqLi1QfFYiKaHCW0jaArBiijRnVYCaEaOc6cNQw6HakueYGgFCgbkiOSJvKyLMVg_EnsA3GF3woZ65LXTSNXwL_XsjnmAWOASmMbLXc3WkJe0xuXdxD7Apggyhlr3Pell8JPgU9lMdzc4l00WbcUv8H-5N-Xn5ObEAXiZDA63iG3cIBwQ0iQ7JLOcnFpn5Lr-vtyWi6eNTFNyderjodfTXKMow
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Simulating+measurable+ecosystem+carbon+and+nitrogen+dynamics+with+the+mechanistically+defined+MEMS+2.0+model&rft.jtitle=Biogeosciences&rft.au=Zhang%2C+Yao&rft.au=Lavallee%2C+Jocelyn+M&rft.au=Robertson%2C+Andy+D&rft.au=Even%2C+Rebecca&rft.date=2021-05-26&rft.pub=Copernicus+GmbH&rft.issn=1726-4170&rft.volume=18&rft.issue=10&rft.spage=3147&rft_id=info:doi/10.5194%2Fbg-18-3147-2021&rft.externalDocID=A663147300
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1726-4189&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1726-4189&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1726-4189&client=summon