Chapter Development of a framework for modelling stand evapotranspiration at a local scale in a coastal mediterranean forest under climate change
This work presents a novel approach for local-scale quantification of stand plant transpiration. The methodology integrates leaf-scale gas exchange, meteorological, and soil water content data with satellite data to upscale results to the stand-scale. Field data enables the calibration of a photosyn...
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| Hauptverfasser: | , , |
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| Format: | Online |
| Sprache: | Englisch |
| Veröffentlicht: |
Firenze University Press
2025
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| Online-Zugang: | ONIX_20250801T173835_9791221505566_245 |
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| Zusammenfassung: | This work presents a novel approach for local-scale quantification of stand plant transpiration. The methodology integrates leaf-scale gas exchange, meteorological, and soil water content data with satellite data to upscale results to the stand-scale. Field data enables the calibration of a photosynthesis biochemical model, comprising three modules simulating species-specific net assimilation rates, stomatal conductance, and evapotranspiration rates (ET). ET values, calculated per species, calibrate a forest stand evapotranspiration (ETA) model based on NDVI. ET and ETA, along with other forest system fluxes, compute the forest water balance as soil water content (SWC). Both models effectively simulate SWC (R2species = 0.98, R2satellite = 0.96). Transpiration values and other water balance components are estimated using climate change scenarios (SSP 2.6 and SSP 8.5). Simulated stand evapotranspiration for 2022 is 1387.73 mm, while for SSP 2.6 and SSP 8.5 are 1216.49 mm and 1293.47 mm, respectively. |
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