Modeling carbon and water fluxes in agro-pastoral systems under contrasting climates and different management practices

• VISTOCK model capability was extended to estimate carbon fluxes in grasslands • GRASSVISTOCK model, integrated with RothC model, simulates system carbon exchanges • Higher temperature and lower precipitation negatively affect above-ground biomass • Carbon uptake capacity is increased in an enriched CO 2 environment Grasslands are worldwide spread ecosystems involved in the provision of multiple functional services, including biomass production and carbon storage. However, the increasingly adverse climate and non-optimised farm management are threatening these ecosystems. In this study, the original semi-mechanistic remotely sensed-driven VISTOCK model, which simulates grass growth as limited by thermal and water stress, was modified and integrated with the RothC model to simulate the ecosystem fluxes. The new model (GRASSVISTOCK) showed satisfactory performance in simulating above-ground biomass (AGB) in dry matter (d.m.) and fractional transpirable soil water (FTSW) along Alps (AGB, RMSE = 85.39 g d.m. m −2 ; FTSW, RMSE = 0.21) and Mediterranean (AGB, RMSE = 136.84 g d.m. m −2 ; FTSW, RMSE = 0.13) grasslands. Also, GRASSVISTOCK was able to simulate the net ecosystem exchange (NEE - RMSE = 0.03 Mg C ha −1 ), the gross primary production (RMSE = 0.04 Mg C ha −1 ), the ecosystem respiration (RMSE = 0.04 Mg C ha −1 ) and the evapotranspiration (RMSE = 1.44 mm), where these observations were available (Alps). The model was applied under present and two climate datasets characterised by temperature increase and precipitation decrease (+2 °C temperature, -10 % precipitation) and reference or enriched CO 2 concentration (394 vs. 540.5 ppm) scenarios. The results showed that, while changes in temperature and precipitation alone had a negative impact by increasing NEE (+0.69 Mg C ha −1 ) and decreasing total biomass (-0.20 Mg d.m. ha −1 ) in the reference CO 2 scenario, the enriched atmospheric CO 2 concentration partially smoothed the NEE trend (+0.27 Mg C ha −1 ) and increased total biomass (+0.60 Mg d.m. ha −1 ) compared to the present period. It is concluded that the GRASSVISTOCK model represents a first step towards an integrated tool for estimating the performance of the agro-pastoral systems in terms of biomass production, water and carbon fluxes, in the face of ongoing climate change.

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Journal
Agricultural and Forest Meteorology
Published
2025-03-23
DOI
https://doi.org/10.1016/j.agrformet.2025.110486
Citations
1
Primary Topic
Plant Water Relations and Carbon Dynamics
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article
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1.11
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article

Modeling carbon and water fluxes in agro-pastoral systems under contrasting climates and different management practices

Lorenzo Brilli, Daniela Dalmonech, Edoardo Cremonese, Marta Galvagno et al.
1 citations
Agricultural and Forest Meteorology
Plant Water Relations and Carbon Dynamics
1.11
article

Modeling carbon and water fluxes in agro-pastoral systems under contrasting climates and different management practices

Lorenzo Brilli, Daniela Dalmonech, Edoardo Cremonese, Marta Galvagno, Nicolina Staglianó, Luisa Leolini, Iris Feigenwinter, Alessio Collalti, Marco Bindi, Gianluca Filippa, Marco Moriondo, Camilla Dibari, Edoardo Bellini, Giovanni Argenti, Aldo Dal Prà, Georg Wohlfahrt, Sergi Costafreda-Aumedes, Davide Cammarano
article en
1 citations

Abstract

• VISTOCK model capability was extended to estimate carbon fluxes in grasslands • GRASSVISTOCK model, integrated with RothC model, simulates system carbon exchanges • Higher temperature and lower precipitation negatively affect above-ground biomass • Carbon uptake capacity is increased in an enriched CO 2 environment Grasslands are worldwide spread ecosystems involved in the provision of multiple functional services, including biomass production and carbon storage. However, the increasingly adverse climate and non-optimised farm management are threatening these ecosystems. In this study, the original semi-mechanistic remotely sensed-driven VISTOCK model, which simulates grass growth as limited by thermal and water stress, was modified and integrated with the RothC model to simulate the ecosystem fluxes. The new model (GRASSVISTOCK) showed satisfactory performance in simulating above-ground biomass (AGB) in dry matter (d.m.) and fractional transpirable soil water (FTSW) along Alps (AGB, RMSE = 85.39 g d.m. m −2 ; FTSW, RMSE = 0.21) and Mediterranean (AGB, RMSE = 136.84 g d.m. m −2 ; FTSW, RMSE = 0.13) grasslands. Also, GRASSVISTOCK was able to simulate the net ecosystem exchange (NEE - RMSE = 0.03 Mg C ha −1 ), the gross primary production (RMSE = 0.04 Mg C ha −1 ), the ecosystem respiration (RMSE = 0.04 Mg C ha −1 ) and the evapotranspiration (RMSE = 1.44 mm), where these observations were available (Alps). The model was applied under present and two climate datasets characterised by temperature increase and precipitation decrease (+2 °C temperature, -10 % precipitation) and reference or enriched CO 2 concentration (394 vs. 540.5 ppm) scenarios. The results showed that, while changes in temperature and precipitation alone had a negative impact by increasing NEE (+0.69 Mg C ha −1 ) and decreasing total biomass (-0.20 Mg d.m. ha −1 ) in the reference CO 2 scenario, the enriched atmospheric CO 2 concentration partially smoothed the NEE trend (+0.27 Mg C ha −1 ) and increased total biomass (+0.60 Mg d.m. ha −1 ) compared to the present period. It is concluded that the GRASSVISTOCK model represents a first step towards an integrated tool for estimating the performance of the agro-pastoral systems in terms of biomass production, water and carbon fluxes, in the face of ongoing climate change.

Agricultural and Forest MeteorologyVol. 367
Agenzia Regionale per la Protezione Ambientale del Piemonte (IT), Universität Innsbruck (AT), Aarhus University (DK), ETH Zurich (CH), Danish Cattle Research Centre (DK), Istituto per il Sistema Produzione Animale in Ambiente Mediterraneo (IT), Institute of Biosciences and Bioresources (IT), CIMA Research Foundation (IT), University of Florence (IT), University of Palermo (IT)
Climate action
Openalex Percentile: Top 26%
Plant Water Relations and Carbon Dynamics
1.11
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