Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning - Xiao, Yi; Xue, Jie; Zhang, Xianglin; Wang, Nan; Hong, Yongsheng; Jiang, Yefeng; Zhou, Yin; Teng, Hongfen; Hu, Bifeng; Lugato, Emanuele; Richer-de-Forges, Anne C.; Arrouays, Dominique; et al. (Geoderma, 2022)
Keywords: algorithms; carbon dioxide; climate; Earth Sciences; Environmental Sciences; Europe; Forward recursive feature selection; Global Changes; LUCAS Soil; Model ensemble; model validation; nitrogen; particulate organic carbon; pedotransfer functions; prediction; sand; Sciences of the Universe; Soil carbon fractions; soil erosion; soil minerals; soil organic carbon; topsoil; Europe; Model ensemble; Forward recursive feature selection; LUCAS Soil; Soil carbon fractions; carbon dioxide; nitrogen; Europe; soil organic carbon; topsoil; climate; soil minerals; pedotransfer function; particulate organic carbon; sand; model validation; prediction; model; soil erosion; algorithm