数字农科院2.0

Comparison Of Random Forest And Multiple Linear Regression Models For Estimation Of Soil Extracellular Enzyme Activities In Agricultural Reclaimed Coastal Saline Land

文献类型： 外文期刊

作者： Xie; XF; Wu; T; Zhu; M; Jiang; GJ; Xu; Y; Wang; XH; Pu; LJ

关键词： Soil Extracellular Enzyme; Coastal Reclamation; Random Forest Model; Multiple Linear Regression

期刊名称： Ecological Indicators

ISSN： 1470-160X

年卷期： 2021 年 120 卷

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： The alternations in soil physicochemical properties caused by the reclamation of coastal tidal land can strongly affect the activities of soil extracellular enzymes. Soil extracellular enzymes are one of the most active organic components in soil ecosystem, which is involved in almost all the biochemical reactions. Determining the importance of potential influencing factors of soil extracellular enzymes and thus estimating their activities are important for clarifying the biological mechanism of soil carbon and nitrogen cycling. In this study, the multiple linear regressions (MLR) and random forest (RF) models were conducted to estimate the activities of soil amylase and urease activities using covariates, such as soil water content (SWC), electrical conductivity (EC), total nitrogen (TN), total phosphorus (TP), and soil organic carbon (SOC) as well as the soil bulk density (BD) and pH. The results reveals that the amylase activity of fishpond was significantly higher than that of other land use types, while the urease activity of rape land, broad bean land, and fishpond were notably higher than that of bare flat, Spartina alterniflora, and uncultivated land. The RF model indicated that the SWC and TN is the main variable affecting amylase and urease activity, respectively. The RF model performed much better than MLR model in estimating the soil amylase and urease activity as it revealed much lower error indices (MAE and RMSE) and higher R-2 value. The superiority of RF model in estimating amylase and urease activity is due to its advantages to handle the nonlinear and hierarchical relationships between enzyme activities and covariates, and insensitivity to overfitting and the presence of noise in the data.

分类号：

  • 相关文献

[1]Volatile organic compounds from rice rhizosphere bacteria inhibit growth of the pathogen rhizoctonia solani. Wang Enzhao,Liu Xiongduo,Si Zhiyuan,Li Xu,Bi Jingjing,Dong Weiling,Chen Mingshun,Wang Sai,Zhang Jiayin,Song Alin,Fan Fenliang. 2021

[2]Changes in soil microbial community, enzyme activities and organic matter fractions under long-term straw return in north-central China. Zhao, Shicheng,Zhou, Wei,Qiu, Shaojun,Huang, Shaowen,He, Ping,He, Ping,Li, Kejiang.

[3]Impacts of Elevated Atmospheric CO2 and N Fertilization on N2O Emissions and Dynamics of Associated Soil Labile C Components and Mineral N in a Maize Field in the North China Plain. Fen Ma,Ming Li,Na Wei,Libing Dong,Xinyue Zhang,Xue Han,Kuo Li,Liping Guo. 2022

[4]Soil extracellular enzymes drive soil carbon accumulation under elevated CO2. Zhang, Yixuan,Sun, Siyi,Zhou, Jiacong,Van Groenigen, Kees Jan,Delgado-Baquerizo, Manuel,Ma, Ying,Moorhead, Daryl L.,Hungate, Bruce A.,Smith, Pete,Terrer, Cesar,Liu, Ji,Sinsabaugh, Robert L.,Guo, Liping,Ochoa-Hueso, Raul,Power, Sally A.,Eivind Olesen, Jorgen,Luo, Yiqi,Cao, Junji,Jiang, Mingkai,Feng, Zhaozhong,Luo, Min,Chen, Ji. 2026

[5]Source Identification of Heavy Metals in Surface Paddy Soils Using Accumulated Elemental Ratios Coupled with MLR. Jie Ma, Yali Chen, Liping Weng, Hao Peng, Zhongbin Liao, Yongtao Li. 2021

[6]Phosphorus transport in different soil types and the contribution of control factors to phosphorus retardation. Jie Ma,Yuling Ma,Rongfei Wei,Yali Chen,Liping Weng,Xiaoxue Ouyang,Yongtao Li. 2021

[7]Phosphorus transport in different soil types and the contribution of control factors to phosphorus retardation. Jie Ma,Yuling Ma,Rongfei Wei,Yali Chen,Liping Weng,Xiaoxue Ouyang,Yongtao Li. 2021

[8]Model prediction of herbicide residues in soybean oil: Relationship between physicochemical properties and processing factors. Zhang J., Li M., Kong Z., Bai T., Quan R., Gao T., Duan L., Liu Y., Fan B., Wang F.. 2022

作者其他论文 更多>>