Multiple Soil Health Assessment Methods for Evaluating Effects of Organic Fertilization in Farmland Soil of Agro-Pastoral Ecotone

Huayu Lu, Ke Ma, Xiangyang Chen, Shiwei Zhou, Yiwei Li, Zecheng Zhang, Chu Wang, Fu Chen and Xinya Wen ()
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Huayu Lu: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Ke Ma: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Xiangyang Chen: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Shiwei Zhou: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Yiwei Li: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Zecheng Zhang: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Chu Wang: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Fu Chen: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Xinya Wen: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China

Agriculture, 2024, vol. 14, issue 4, 1-19

Abstract: The incorporation of organic fertilizer is an important practice to improve the sustainability and productivity of crop production and decrease environmental pollution from crop-livestock systems in global agriculture. However, establishing an evaluation dataset is still the main challenge for quickly and effectively assessing the effect of management measures on farmland soil health. Hereby, we developed a minimum dataset (MDS) using three methods (network analysis (NA), random forest analysis (RF), and principal component analysis (PCA)). Based on MDS and two scoring functions (nonlinear (NL) and linear scoring curve (L)), the SHI (soil health index framework) was constructed to assess soil health conditions under four fertilization treatments (no fertilization, CK; only chemical fertilizer, NPK; only cow manure, MF; 50% chemical fertilizer + 50% cow manure, NPKM) in the northern ecotone of China. The results showed that the MDS-based on SHIs were positively correlated with each other and SHI-TDS (total dataset), verifying the consistency of soil health assessment models. Higher R 2 was observed in the fitting of SHIs based on NA and TDS, which suggested that nMDS (minimum dataset based on network analysis) could represent most of the information in the TDS. The SHI-NL-nMDS (based on network analysis and nonlinear scoring curve) has the highest ability of sensitivity and accuracy, which indicates that compared with PCA and RF, the SHI based on NA can better embody farmland sol ecosystem functions. In addition, crop yield was significantly positive relative to SHI (soil health index). The incorporation of cow manure and chemical fertilizer improved soil health and increased crop yield. These results indicate that network analysis was a reliable technology for determining the minimum dataset in the evaluation of farmland soil health, and incorporating livestock manure could improve soil health and crop yield in this study area.

Keywords: manure; soil ecosystem function; multivariate evaluation methods; minimum dataset; soil health assessment (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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