Quantifying synergistic effects of artificial and environmental variables on potato nutrient use efficiency in China
文献类型： 外文期刊
作者： Liu, Yingxia 1 ; Sheng, Yinsheng 2 ; Xu, Xinpeng 2 ; Ma, Jinchuan 1 ; Ding, Wencheng 2 ; He, Ping 2 ; Ma, Junwei 1 ;
作者机构： 1.Zhejiang Acad Agr Sci, Inst Environm Resource Soil & Fertilizers, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China
2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid, Beijing 100081, Peoples R China
3.Jilin Agr Univ, Coll Resources & Environm, Changchun 130118, Peoples R China
关键词： Partial factor productivity; Partial nutrient balance; Artificial and environmental variables; Model uncertainty; Potato; China
期刊名称：JOURNAL OF CLEANER PRODUCTION （ 影响因子：11.1； 五年影响因子：11.0 ）
ISSN： 0959-6526
年卷期： 2023 年 432 卷
页码：
收录情况： SCI
摘要： Excessive use of fertilizer has decreased nutrient use efficiency (NUE), which leads to serious resource waste and environmental pollution. Improving potato NUE is instrumental in reducing fertilizer loss and ensuring agricultural sustainable development. Currently, potato NUE exhibits great spatial variation, and the explanatory variables of potato NUE have not been comprehensively elucidated. To address these challenges, 1850 samples and 56 corresponding explanatory variables were extracted from 19 provinces in the main potato producing areas, and the NUE models were established using random forest model, in which the uncertainty was determined by quantile regression forest model. The results indicated that the partial factor productivity (PFP) and partial nutrient balance (PNB) for nitrogen (N) and phosphorus (P) in northeast China were the highest, while the PFP and PNB for potassium (K) in the northwest were the highest. South China exhibited the lowest NUE. The prediction models had good performance, with better performance of PFP models than PNB models. The models demonstrated that the relative importance of explanatory variables was agricultural management practices (AMPs) > topography > climate > soil > crop > economy. NUE model uncertainty was higher in northwest China (Shaanxi, Gansu, Ningxia) and southwest China (Hubei). In this case, model prediction might have higher performance when constructing a model with data from each region. The findings of this study could have far-reaching implications for policymakers toward understanding the spatial variation of potato NUE. More efforts should be undertaken to investigate the effects of AMPs and topography, which are beneficial for the cleaner production of potato and environmental sustainability.
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