Gross primary productivity from leaf-age-dependent light use efficiency (LA-LUE) model over pantropical evergreen broadleaved forests

Tropical and subtropical evergreen broadleaved forests (TEFs) contribute more than one-third of terrestrial gross primary productivity (GPP). However, the continental-scale leaf phenology-photosynthesis nexus over TEFs is still poorly understood to date. This knowledge gap hinders most light use efficiency (LUE) models from accurately simulating the GPP seasonality in TEFs. Leaf age is the crucial plant trait to link the dynamics of leaf phenology with GPP seasonality. Thus, here we incorporated the seasonal leaf area index (LAI) of different leaf age cohorts into a widely-used LUE model (i.e., EC-LUE) and proposed a novel leaf-age-dependent LUE model (denoted as LA-LUE model). At the site level, the LA-LUE model (average R2 = 0.59, average RMSE = 1.23 gC m−2 d−1) performs better than the EC-LUE model in simulating the GPP seasonality across the nine TEFs sites (average R2 = 0.18; average RMSE = 1.87 gC m-2 d-1). At the continental scale, the monthly GPP estimates from the LA-LUE model ..., On the basis of the theory of light use efficiency, the LA-LUE model was proposed by incorporating the seasonal leaf area index (LAI) of different leaf age cohorts into the EC-LUE (Eddy Covariance – Light Use Efficiency) model. To do this, three LAI cohorts (i.e., LAIyoung, LAImature, and LAIold) were introduced to reconstruct the dynamic maximum light use efficiency (εmax) and absorbed photosynthetically active radiation (APAR) for young leaves, mature leaves, and old leaves. After that, the product of εmax and APAR of sunlit and shaded leaves were accumulated to each leaf age cohort, respectively, and then to simulate the total GPP. It utilizes a new leaf-age-dependent leaf area index (Lad-LAI) product in combination with ERA5 air temperature, dew temperature, and mean surface downward short-wave radiation flux data and NOAA Earth System Research Laboratories CO2 concentration product to produce a coherent seasonal data record of GPP over pantropical evergreen broadleaved forests. The..., , # Gross primary productivity from leaf-age-dependent light use efficiency (LA-LUE) model over pantropical evergreen broadleaved forests [https://doi.org/10.5061/dryad.m0cfxppck](https://doi.org/10.5061/dryad.m0cfxppck) ## Description of the data and file structure This dataset mainly contains monthly temporal resolution, 0.25° × 0.25° spatial resolution gross primary productivity (GPP) estimation from leaf-age-dependent light use efficiency model (LA-LUE) over pantropical evergreen broadleaved forests during 2001-2018. The mapped extent is longitude (-180, 180) and latitude (-30, 30). The MatLab code LALUE_Model.m and Parameters.txt contain the information to create the LA-LUE GPP dataset. ## Sharing/Access information The leaf-age-dependent leaf area index data are available from [https://doi.org/10.6084/m9.figshare.21700955.v4](https://doi.org/10.6084/m9.figshare.21700955.v4) ## **Code/Software** The LA-LUE GPP dataset was obtained by MatLab R2023b and stored in .tif file form...热带与亚热带常绿阔叶林（Tropical and subtropical evergreen broadleaved forests, TEFs）贡献了全球陆地总初级生产力（Gross Primary Productivity, GPP）的三分之一以上。然而迄今为止，学界对TEFs在大陆尺度上的叶片物候-光合作用关联机制仍知之甚少。这一认知缺口使得多数光能利用效率（Light Use Efficiency, LUE）模型难以准确模拟TEFs的GPP季节动态。叶片年龄是连接叶片物候动态与GPP季节变化的关键植物性状。因此，本研究将不同叶龄组的季节动态叶面积指数（Leaf Area Index, LAI）引入一款广泛应用的LUE模型（即EC-LUE模型），提出了一种全新的叶龄依赖型LUE模型（记为LA-LUE模型）。 在站点尺度上，LA-LUE模型（平均决定系数R²=0.59，平均均方根误差RMSE=1.23 gC·m⁻²·d⁻¹）在9个TEFs站点的GPP季节动态模拟中表现优于EC-LUE模型（EC-LUE模型平均R²=0.18，平均RMSE=1.87 gC·m⁻²·d⁻¹）。在大陆尺度上，LA-LUE模型生成的月度GPP估算结果……基于光能利用效率理论，本研究通过将不同叶龄组的季节动态LAI引入EC-LUE（涡度协方差-光能利用效率）模型，构建了LA-LUE模型。 为此，本研究引入3个叶龄组LAI（即LAIyoung、LAImature与LAIold），分别重构幼叶、成熟叶与老叶的动态最大光能利用效率（εmax）与吸收光合有效辐射（APAR）。随后，分别将阳叶与阴叶的εmax与APAR的乘积累加到对应叶龄组，最终模拟得到总GPP。本研究利用一款全新的叶龄依赖型叶面积指数（Lad-LAI）数据集，结合ERA5气温、露点温度与地表向下平均短波辐射通量数据，以及美国国家海洋和大气管理局（NOAA）地球系统研究实验室的CO₂浓度数据集，生成了泛热带常绿阔叶林的连续GPP季节动态数据记录。 # 基于叶龄依赖型光能利用效率（LA-LUE）模型的泛热带常绿阔叶林总初级生产力 [https://doi.org/10.5061/dryad.m0cfxppck](https://doi.org/10.5061/dryad.m0cfxppck) ## 数据与文件结构说明 本数据集主要包含2001-2018年间泛热带常绿阔叶林的叶龄依赖型光能利用效率（LA-LUE）模型估算的总初级生产力（GPP）数据，其时间分辨率为月度，空间分辨率为0.25°×0.25°。数据制图范围为经度(-180, 180)、纬度(-30, 30)。MatLab脚本LALUE_Model.m与Parameters.txt文件包含了LA-LUE GPP数据集的构建方法与参数信息。 ## 共享/获取信息 叶龄依赖型叶面积指数数据集可从以下链接获取：[https://doi.org/10.6084/m9.figshare.21700955.v4](https://doi.org/10.6084/m9.figshare.21700955.v4) ## **代码/软件** LA-LUE GPP数据集通过MatLab R2023b生成，存储格式为.tif文件……