A model-data fusion approach to analyse carbon dynamics in managed grasslands

Vasileios Myrgiotis; Emanuel Blei; Rob Clement; Stephanie K. Jones; Ben Keane; Mark A. Lee; Peter E. Levy; Robert M. Rees; Ute M. Skiba; Thomas Luke Smallman; Sylvia Toet; Mathew Williams

doi:10.1016/j.agsy.2020.102907

A model-data fusion approach to analyse carbon dynamics in managed grasslands

Vasileios Myrgiotis, Emanuel Blei, Rob Clement, Stephanie K. Jones, Ben Keane, Mark A. Lee, Peter E. Levy, Robert M. Rees, Ute M. Skiba, Thomas Luke Smallman, Sylvia Toet, Mathew Williams

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	102907
Journal	Agricultural Systems
Volume	184
DOIs	https://doi.org/10.1016/j.agsy.2020.102907
Publication status	Published - Sept 2020
Externally published	Yes

Keywords

Carbon sequestration
Model-data fusion
Primary production
UK grasslands

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10.1016/j.agsy.2020.102907

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@article{a4e44a7d86bf48428de4889f78dc87ed,

title = "A model-data fusion approach to analyse carbon dynamics in managed grasslands",

keywords = "Carbon sequestration, Model-data fusion, Primary production, UK grasslands",

author = "Vasileios Myrgiotis and Emanuel Blei and Rob Clement and Jones, {Stephanie K.} and Ben Keane and Lee, {Mark A.} and Levy, {Peter E.} and Rees, {Robert M.} and Skiba, {Ute M.} and Smallman, {Thomas Luke} and Sylvia Toet and Mathew Williams",

note = "Funding Information: VM and MW devised the study concept. VM developed DALEC-Grass, implemented the MDF and undertook the analysis with support from all authors. Remaining authors provided data from the study sites. VM led the writing, with support from MW and LS. All authors contributed to the text. This study was supported by the Natural Environment Research Council (NERC) of the UK through the Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies (Soils-R-GGREAT) project, and the NERC GHG Programme GREENHOUSE project. This work was also part funded by the Scottish Government's Strategic Research Programme . We thank Anthony Bloom (JPL-NASA) for his support in development of CARDAMOM . We thank Tim Hill (University of Exeter) for access to eddy covariance instrumentation used at Crichton. Funding Information: VM and MW devised the study concept. VM developed DALEC-Grass, implemented the MDF and undertook the analysis with support from all authors. Remaining authors provided data from the study sites. VM led the writing, with support from MW and LS. All authors contributed to the text. This study was supported by the Natural Environment Research Council (NERC) of the UK through the Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies (Soils-R-GGREAT) project, and the NERC GHG Programme GREENHOUSE project. This work was also part funded by the Scottish Government's Strategic Research Programme. We thank Anthony Bloom (JPL-NASA) for his support in development of CARDAMOM. We thank Tim Hill (University of Exeter) for access to eddy covariance instrumentation used at Crichton. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2020",

month = sep,

doi = "10.1016/j.agsy.2020.102907",

language = "English",

volume = "184",

journal = "Agricultural Systems",

issn = "0308-521X",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - A model-data fusion approach to analyse carbon dynamics in managed grasslands

AU - Myrgiotis, Vasileios

AU - Blei, Emanuel

AU - Clement, Rob

AU - Jones, Stephanie K.

AU - Keane, Ben

AU - Lee, Mark A.

AU - Levy, Peter E.

AU - Rees, Robert M.

AU - Skiba, Ute M.

AU - Smallman, Thomas Luke

AU - Toet, Sylvia

AU - Williams, Mathew

N1 - Funding Information: VM and MW devised the study concept. VM developed DALEC-Grass, implemented the MDF and undertook the analysis with support from all authors. Remaining authors provided data from the study sites. VM led the writing, with support from MW and LS. All authors contributed to the text. This study was supported by the Natural Environment Research Council (NERC) of the UK through the Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies (Soils-R-GGREAT) project, and the NERC GHG Programme GREENHOUSE project. This work was also part funded by the Scottish Government's Strategic Research Programme . We thank Anthony Bloom (JPL-NASA) for his support in development of CARDAMOM . We thank Tim Hill (University of Exeter) for access to eddy covariance instrumentation used at Crichton. Funding Information: VM and MW devised the study concept. VM developed DALEC-Grass, implemented the MDF and undertook the analysis with support from all authors. Remaining authors provided data from the study sites. VM led the writing, with support from MW and LS. All authors contributed to the text. This study was supported by the Natural Environment Research Council (NERC) of the UK through the Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies (Soils-R-GGREAT) project, and the NERC GHG Programme GREENHOUSE project. This work was also part funded by the Scottish Government's Strategic Research Programme. We thank Anthony Bloom (JPL-NASA) for his support in development of CARDAMOM. We thank Tim Hill (University of Exeter) for access to eddy covariance instrumentation used at Crichton. Publisher Copyright: © 2020 Elsevier Ltd

PY - 2020/9

Y1 - 2020/9

KW - Carbon sequestration

KW - Model-data fusion

KW - Primary production

KW - UK grasslands

UR - http://www.scopus.com/inward/record.url?scp=85089355284&partnerID=8YFLogxK

U2 - 10.1016/j.agsy.2020.102907

DO - 10.1016/j.agsy.2020.102907

M3 - Article

AN - SCOPUS:85089355284

SN - 0308-521X

VL - 184

JO - Agricultural Systems

JF - Agricultural Systems

M1 - 102907

ER -

A model-data fusion approach to analyse carbon dynamics in managed grasslands

Keywords

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