Upscaling Gross Primary Production from Leaf to Canopy for Potato Crop (Solanum tuberosum L.)
Estimating gross primary production (GPP) is important to understand the land–atmosphere CO2 exchange for major agroecosystems. Eddy covariance (EC) measurements provide accurate and reliable information about GPP, but flux measurements are often not available. Upscaling strategies gain importanc...
| Main Authors: | , , , |
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| Format: | article |
| Language: | Inglés |
| Published: |
MDPI
2025
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2225-1154/10/9/127 http://hdl.handle.net/20.500.12324/40599 https://doi.org/10.3390/ cli10090127 |
| Summary: | Estimating gross primary production (GPP) is important to understand the land–atmosphere
CO2 exchange for major agroecosystems. Eddy covariance (EC) measurements provide accurate and
reliable information about GPP, but flux measurements are often not available. Upscaling strategies
gain importance as an alternative to the limitations of the use of the EC. Although the potato provides
an important agroecosystem for worldwide carbon balance, there are currently no studies on potato
GPP upscaling processes. This study reports two GPP scaling-up approaches from the detailed
leaf-level characterization of gas exchange of potatoes. Multilayer and big leaf approaches were
applied for extrapolating chamber and biometric measurements from leaf to canopy. Measurements
of leaf area index and photosynthesis were performed from planting to the end of the canopy life
cycle using an LP-80 ceptometer and an IRGA Li-Cor 6800, respectively. The results were compared
to concurrent measurements of surface–atmosphere GPP from the EC measurements. Big-leaf models
were able to simulate the general trend of GPP during the growth cycle, but they overestimated
the GPP during the maximum LAI phase. Multilayer models correctly reproduced the behavior of
potato GPP and closely predicted both: the daily magnitude and half-hourly variation in GPP when
compared to EC measurements. Upscaling is a reliable alternative, but a good treatment of LAI and
the photosynthetic light-response curves are decisive factors to achieve better GPP estimates. The
results improved the knowledge of the biophysical control in the carbon fluxes of the potato crop. |
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