Soil-Microbial Interactions in Rice-Loach-Shrimp Integrated Farming: Multivariate Analysis of Ecological Intensification

Author:

Zeng Wentao1ORCID,Zhang Yidan1,Luo Wen1,Zhu Yuling1,Yin Hao1,Lan Xuan1,Ye Shaowen234

Affiliation:

1. School of Life and Environmental Sciences, Shaoxing University, Huancheng West Road 508, Shaoxing 312000, China

2. Yangtze Eco-Environment Engineering Research Center, China Three Gorges Corporation, Wuhan 430014, China

3. Hubei Key Laboratory of Three Gorges Project for Conservation of Fishes, Yichang 443100, China

4. Chinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang 443100, China

Abstract

Ecological intensification of agriculture is crucial for sustainable food production, yet the complex soil-microbial interactions in integrated farming systems remain poorly understood. This five-year study compared a Rice-Loach-Shrimp (RLS) integrated system with conventional Rice Monoculture (RM) using advanced multivariate techniques, including correlation analysis, Principal Component Analysis, Random Forest modeling, and Structural Equation Modeling. The RLS system exhibited higher values for key soil health indicators compared to RM, although the overall correlation patterns were similar. Stronger correlations among soil organic matter, enzyme activities, and microbial populations were observed in RLS, suggesting a more tightly coupled soil ecosystem. Available phosphorus and soil organic matter were identified as primary drivers of microbial community structure. The RLS system showed a slightly higher mean pH and weaker correlations between pH and other indicators compared to RM, indicating potential altered biogeochemical processes. Complex cascading effects among soil properties, enzyme activities, and microbial populations were revealed in RLS. These soil health benefits persisted throughout the study period, demonstrating the potential of RLS as an effective ecological intensification strategy for sustainable rice production.

Funder

National Natural Science Foundation of China

Zhejiang Province Public Welfare Technology Application Research Project

Zhejiang Provincial Natural Science Foundation of China

Publisher

MDPI AG

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