School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK, 73019, USA.
Sci Data. 2024 Jul 11;11(1):758. doi: 10.1038/s41597-024-03603-7.
The apparent optimum air temperature for vegetation photosynthesis (T) is a key temperature parameter in terrestrial ecosystem models estimating daily photosynthesis or gross primary production (GPP, g C/m/day). To date, most models use biome-specific T (T) parameter values. Given vegetation acclimation and adaptation to local climate, site-specific T (T) is needed to reduce uncertainties in estimating daily GPP across the scales from site to region and the globe. Previous studies have demonstrated using the Enhanced Vegetation Index (EVI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) images and daytime air temperature data to estimate the T at the eddy covariance tower sites. This study used MODIS-derived EVI and ERA5 climate data to estimate and generate global T data products from 2000 to 2019. The T of individual pixels within a biome has large variation, which clearly cannot be represented accurately by the widely used T. Therefore, using this global dataset of T estimates might significantly affect GPP simulation in current ecosystem models.
对植被光合作用(T)而言,最适空气温度是估计日光合作用或总初级生产力(GPP,g C/m/天)的陆地生态系统模型中的关键温度参数。迄今为止,大多数模型都使用生物群落特定的 T(T)参数值。鉴于植被对当地气候的适应和调整,需要特定地点的 T(T)来减少从地点到区域和全球范围内估计日 GPP 的不确定性。先前的研究已经证明,可以使用中分辨率成像光谱仪(MODIS)图像和白天空气温度数据从增强植被指数(EVI)中得出,以估算涡度协方差塔站点的 T。本研究使用 MODIS 衍生的 EVI 和 ERA5 气候数据来估算和生成 2000 年至 2019 年的全球 T 数据产品。生物群落内各个像素的 T 变化很大,显然无法通过广泛使用的 T 准确表示。因此,使用这种全球 T 估算数据集可能会显著影响当前生态系统模型中的 GPP 模拟。