Abstract

AbstractSoil quality (SQ) is the ability of soil to provide ecosystem functions and services. Implementation of a certain agricultural system can affect SQ and therefore play an essential role in achieving sustainable agriculture. The aim of this study was to explore how agricultural systems (conventional vs. organic), grazing regime (non‐grazed vs. grazed) and the different proportions of temporary grass‐clover leys in crop rotations (ley time proportion, LTP) affect SQ within a mixed (cropping and pasture/dairy system) commercial farming enterprise in the UK. Seven SQ indicators were evaluated, including chemical (pH; available phosphorus (P); potassium (K)), physical (bulk density, BD; aggregate stability, AS) and biological (total carbon (C); microbial biomass carbon, MBC) sectors. All SQ indicators were measured at three depth intervals (0–0.15, 0.15–0.30, 0.30–0.60 m), except for AS and MBC, which were only considered for the topsoil (0–0.15 m). The findings reflected existing knowledge on the advantages of organic vs. conventional systems for SQ indicators, with the former showing higher MBC and similar K, BD, AS and C in the 0–0.30‐m compared to the latter. Lower topsoil available P in organic systems can be related to the lack of measurements in all P pools. When grazing was included: (a) both agricultural systems showed higher topsoil available P, C and MBC; and (b) there was a higher topsoil K in organic systems, whereas it positively affected topsoil BD and C (0.15–0.30 m) in conventional systems. Increasing LTP to 30–40% of the full crop rotation increased topsoil AS and C (0–0.30 m) in a linear fashion. Subsoil conditions (>0.30 m) favoured K, BD and C in conventional systems, but these results should be considered carefully. It was concluded that both organic and conventional systems delivered similar levels of SQ and that reviving mixed farming systems may be a key factor for delivering multifunctional agroecosystems that maintain SQ and optimize ecosystem services.Highlights Single‐farm comparison of top‐ and subsoil quality in organic and non‐organic systems. The organic system increased microbial biomass carbon but decreased topsoil available phosphorus. Grazing increased topsoil available phosphorus, carbon concentration and microbial biomass carbon. Temporary leys in rotations increased topsoil aggregate stability and carbon concentration. Mixed farming is a key factor for delivering multifunctional agroecosystems.

Highlights

  • Intensification of agricultural activity in the last century has supported rapid growth in the global population, it has contributed to significant environmental impacts

  • This research was performed in commercial mixed farm in northern England to investigate the impacts of organic and non-organic agricultural systems on soil quality (SQ) indicators in both the topsoil and subsoil

  • The length of pasture leys in the rotation was positively related to Soil quality (SQ) regardless of the type of agricultural system, and a grass-clover ley period length equivalent to 30–40% of the full crop rotation is needed to increase aggregate stability (AS) and soil C concentration in a linear fashion

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Summary

Introduction

Intensification of agricultural activity in the last century has supported rapid growth in the global population, it has contributed to significant environmental impacts. SQ encompasses the capacity of the soil to deliver key functions within a particular ecosystem/land use and to sustain biological productivity whilst maintaining or even improving water and air quality and human, plant and animal health (Bünemann et al, 2018; Doran, 2002; Karlen et al, 1997). Based on this definition, it is impossible to directly measure SQ due to its complexity, but it is possible to pursue SQ to ensure sustainability in any given ecosystem. The selection of soil quality indicators is crucial, and they should be sufficiently diverse to represent chemical, physical and biological soil properties; the most studied ones are total soil carbon (C), pH, phosphorus (P), water storage and bulk density (BD) (Bünemann et al, 2018)

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