Global datasets of leaf photosynthetic capacity for ecological and earth system research

نویسندگان

چکیده

Abstract. The maximum rate of Rubisco carboxylation (Vcmax) determines leaf photosynthetic capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial information lacking, hindering global ecological research. Here, we convert chlorophyll content (LCC) retrieved from satellite data to Vcmax, based on plants' optimal distribution nitrogen between light harvesting pathways. We also derive Vcmax (GOME-2) observations sun-induced fluorescence (SIF) as proxy photosynthesis using assimilation technique. These two independent products agree well (r2=0.79,RMSE=15.46µmol m−2 s−1, P<0.001) compare with 3672 ground-based measurements (r2=0.69,RMSE=13.8µmol s−1 P<0.001 SIF; r2=0.55,RMSE=18.28µmol LCC). LCC-derived product used constrain retrieval TROPical Ozone Mission (TROPOMI) SIF produce an optimized both LCC information. distributions these are compatible computed optimality theory meteorological variables, importantly reveal additional influence land cover, irrigation, soil pH, capacity. satellite-based approaches primed play major role in ecosystem three remote sensing SIF, LCC, SIF+LCC available at https://doi.org/10.5281/zenodo.6466968 (Chen et al., 2022), code implementing https://github.com/SmithEcophysLab/optimal_vcmax_R https://doi.org/10.5281/zenodo.5899564 (last access: 31 August 2022) (Smith 2022).

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ژورنال

عنوان ژورنال: Earth System Science Data

سال: 2022

ISSN: ['1866-3516', '1866-3508']

DOI: https://doi.org/10.5194/essd-14-4077-2022