Validación de la asimilación de carbono a través de la producción primaria bruta (PPB) estimada mediante teledetección en dos ecosistemas del Parque Nacional de Doñana: marisma estacional y matorrales mediterráneos xerófilos

Doñana National Park is located in the southwest of the Iberian Peninsula. This protected area faces significant environmental challenges due to more frequent and extreme drought events and plays a key role as a biodiversity hotspot. Understanding carbon dynamics is essential to advance our knowledge of climate change effects on natural land covers and the ecosystem services they provided. In this study, a Light Use Efficiency (LUE) model has been applied to estimate Gross Primary Production (GPP) for two types of featured ecosystems of Doñana: xeric shrubland, characterized by its summer drought resistance, and the seasonal marshes, which flood and dry up every year, and it is the habitat of grasslands and aquatic plants dependent on hydroperiod. Model validation was carried out using in-situ data collected by Energy and Carbon Flux Towers (Eddy covariance, EC) installed in both ecosystems. LUE model inputs were based on remote sensing and reanalysis data: i) Sentinel-2 Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), ii) solar radiation reanalysis data (ERA5-Land), and iii) Sentinel-2 Land Surface Water Index (LSWI). Our methodology has proven to be accurate, with root mean square error (RMSE) lower than 0.50 g C / m2 and coefficients of determination (R2) of 0.82 for marshes and 0.67 for xeric shrublands. Once validated, this remote sensing and LUE model-based approach enabled the long-term monitoring of carbon dynamics for two different ecosystems of Doñana, contributing to a better understanding of the responses of these natural systems to climate change during the study period.

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Validation of carbon assimilation through gross primary production (GPP) estimated by remote sensing in two ecosystems of the Doñana National Park: seasonal marshand and xerophilous Mediterranean scrub

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