Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types
Abstract Peatlands are significant carbon reservoirs vulnerable to climate change and land use change such as drainage for cultivation or forestry. We modified the ORCHIDEE‐PEAT global land surface model, which has a detailed description of peat processes, by incorporating three new peatland‐specifi...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2025-06-01
|
| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025MS004940 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849434375263879168 |
|---|---|
| author | Liyang Liu Chunjing Qiu Yi Xi Elodie Salmon Aram Kalhori Rebekka R. E. Artz Christophe Guimbaud Matthias Peichl Joshua L. Ratcliffe Koffi Dodji Noumonvi Efrén López‐Blanco Jiří Dušek Tiina Markkanen Torsten Sachs Mika Aurela Thu‐Hang Nguyen Annalea Lohila Ivan Mammarella Philippe Ciais |
| author_facet | Liyang Liu Chunjing Qiu Yi Xi Elodie Salmon Aram Kalhori Rebekka R. E. Artz Christophe Guimbaud Matthias Peichl Joshua L. Ratcliffe Koffi Dodji Noumonvi Efrén López‐Blanco Jiří Dušek Tiina Markkanen Torsten Sachs Mika Aurela Thu‐Hang Nguyen Annalea Lohila Ivan Mammarella Philippe Ciais |
| author_sort | Liyang Liu |
| collection | DOAJ |
| description | Abstract Peatlands are significant carbon reservoirs vulnerable to climate change and land use change such as drainage for cultivation or forestry. We modified the ORCHIDEE‐PEAT global land surface model, which has a detailed description of peat processes, by incorporating three new peatland‐specific plant functional types (PFTs), namely deciduous broadleaf shrub, moss and lichen, as well as evergreen needleleaf tree in addition to previously peatland graminoid PFT to simulate peatland vegetation dynamic and soil CO2 fluxes. Model parameters controlling photosynthesis, autotrophic respiration, and carbon decomposition have been optimized using eddy‐covariance observations from 14 European peatlands and a Bayesian optimization approach. Optimization was conducted for each individual site (single‐site calibration) or all sites simultaneously (multi‐site calibration). Single‐site calibration performed better, particularly for gross primary production (GPP), with root mean square deviation (RMSD) reduced by 53%. While multi‐site calibration showed limited improvement (e.g., RMSD of GPP reduced by 22%) due to the model's inability to account for spatial parameter variations under different climatic contexts (trait‐climate correlations). Site‐optimized parameters, such as Q10, the temperature sensitivity of heterotrophic respiration, revealed strong empirical relationships with environmental factors, such as air temperature. For instance, Q10 decreased significantly at warmer sites, consistent with independent field data. To improve the model by using the lessons from single‐site optimization, we incorporated two key trait‐climate relationships for Q10 and Vcmax (maximum carboxylation rate) into a new version of the ORCHIDEE‐PEAT models. Using this description of spatial variability of parameters holds significant promise for improving the accuracy of carbon cycle simulations in peatlands. |
| format | Article |
| id | doaj-art-f9177e8ea8ef4c2aac4dcfe7151e3375 |
| institution | Kabale University |
| issn | 1942-2466 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj-art-f9177e8ea8ef4c2aac4dcfe7151e33752025-08-20T03:26:39ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662025-06-01176n/an/a10.1029/2025MS004940Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional TypesLiyang Liu0Chunjing Qiu1Yi Xi2Elodie Salmon3Aram Kalhori4Rebekka R. E. Artz5Christophe Guimbaud6Matthias Peichl7Joshua L. Ratcliffe8Koffi Dodji Noumonvi9Efrén López‐Blanco10Jiří Dušek11Tiina Markkanen12Torsten Sachs13Mika Aurela14Thu‐Hang Nguyen15Annalea Lohila16Ivan Mammarella17Philippe Ciais18Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA–CNRS–UVSQ Université Paris‐Saclay Gif‐sur‐Yvette FranceResearch Center for Global Change and Complex Ecosystems School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaLaboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA–CNRS–UVSQ Université Paris‐Saclay Gif‐sur‐Yvette FranceLaboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA–CNRS–UVSQ Université Paris‐Saclay Gif‐sur‐Yvette FranceGFZ Helmholtz Centre for Geosciences Potsdam GermanyThe James Hutton Institute Aberdeen UKLaboratoire de Physique et de Chimie de l'Environnement et de l'Espace LPC2E CNRS OSUC University Orleans Orleans FranceDepartment of Forest Ecology and Management Swedish University of Agricultural Sciences Umeå SwedenDepartment of Forest Ecology and Management Swedish University of Agricultural Sciences Umeå SwedenDepartment of Forest Ecology and Management Swedish University of Agricultural Sciences Umeå SwedenDepartment of Ecoscience Arctic Research Center Aarhus University Frederiksborgvej Roskilde DenmarkGlobal Change Research Institute of the Czech Academy of Sciences Brno Czech RepublicClimate System Research Finnish Meteorological Institute Helsinki FinlandGFZ Helmholtz Centre for Geosciences Potsdam GermanyClimate System Research Finnish Meteorological Institute Helsinki FinlandLaboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA–CNRS–UVSQ Université Paris‐Saclay Gif‐sur‐Yvette FranceClimate System Research Finnish Meteorological Institute Helsinki FinlandFaculty of Science Institute for Atmospheric and Earth System Research/Physics, University of Helsinki Helsinki FinlandLaboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA–CNRS–UVSQ Université Paris‐Saclay Gif‐sur‐Yvette FranceAbstract Peatlands are significant carbon reservoirs vulnerable to climate change and land use change such as drainage for cultivation or forestry. We modified the ORCHIDEE‐PEAT global land surface model, which has a detailed description of peat processes, by incorporating three new peatland‐specific plant functional types (PFTs), namely deciduous broadleaf shrub, moss and lichen, as well as evergreen needleleaf tree in addition to previously peatland graminoid PFT to simulate peatland vegetation dynamic and soil CO2 fluxes. Model parameters controlling photosynthesis, autotrophic respiration, and carbon decomposition have been optimized using eddy‐covariance observations from 14 European peatlands and a Bayesian optimization approach. Optimization was conducted for each individual site (single‐site calibration) or all sites simultaneously (multi‐site calibration). Single‐site calibration performed better, particularly for gross primary production (GPP), with root mean square deviation (RMSD) reduced by 53%. While multi‐site calibration showed limited improvement (e.g., RMSD of GPP reduced by 22%) due to the model's inability to account for spatial parameter variations under different climatic contexts (trait‐climate correlations). Site‐optimized parameters, such as Q10, the temperature sensitivity of heterotrophic respiration, revealed strong empirical relationships with environmental factors, such as air temperature. For instance, Q10 decreased significantly at warmer sites, consistent with independent field data. To improve the model by using the lessons from single‐site optimization, we incorporated two key trait‐climate relationships for Q10 and Vcmax (maximum carboxylation rate) into a new version of the ORCHIDEE‐PEAT models. Using this description of spatial variability of parameters holds significant promise for improving the accuracy of carbon cycle simulations in peatlands.https://doi.org/10.1029/2025MS004940peatlandcarbon cycleORCHIDEE‐PEATCO2 fluxes |
| spellingShingle | Liyang Liu Chunjing Qiu Yi Xi Elodie Salmon Aram Kalhori Rebekka R. E. Artz Christophe Guimbaud Matthias Peichl Joshua L. Ratcliffe Koffi Dodji Noumonvi Efrén López‐Blanco Jiří Dušek Tiina Markkanen Torsten Sachs Mika Aurela Thu‐Hang Nguyen Annalea Lohila Ivan Mammarella Philippe Ciais Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types Journal of Advances in Modeling Earth Systems peatland carbon cycle ORCHIDEE‐PEAT CO2 fluxes |
| title | Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types |
| title_full | Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types |
| title_fullStr | Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types |
| title_full_unstemmed | Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types |
| title_short | Assessing CO2 Fluxes for European Peatlands in ORCHIDEE‐PEAT With Multiple Plant Functional Types |
| title_sort | assessing co2 fluxes for european peatlands in orchidee peat with multiple plant functional types |
| topic | peatland carbon cycle ORCHIDEE‐PEAT CO2 fluxes |
| url | https://doi.org/10.1029/2025MS004940 |
| work_keys_str_mv | AT liyangliu assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT chunjingqiu assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT yixi assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT elodiesalmon assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT aramkalhori assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT rebekkareartz assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT christopheguimbaud assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT matthiaspeichl assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT joshualratcliffe assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT koffidodjinoumonvi assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT efrenlopezblanco assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT jiridusek assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT tiinamarkkanen assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT torstensachs assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT mikaaurela assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT thuhangnguyen assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT annalealohila assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT ivanmammarella assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes AT philippeciais assessingco2fluxesforeuropeanpeatlandsinorchideepeatwithmultipleplantfunctionaltypes |