Abstract

AbstractSoils are indispensable for the provision of several functions. Agricultural intensification and its focus on increasing primary productivity (PP) poses a threat to soil quality, due to increases in nutrient loads, greenhouse gas emissions and declining biodiversity. The EU Horizon 2020 Landmark project has developed multi‐criteria decision models to assess five soil functions: PP, nutrient cycling (NC), soil biodiversity and habitat provision (B‐HP), climate mitigation and water regulation, simultaneously in agricultural fields. Using these algorithms, we evaluated the supply of PP, NC and B‐HP of 31 grasslands and 21 croplands as low, medium or high. The multi‐criteria decision models showed that 38% of the farms had a medium to high supply of all three soil functions, whereas only one cropland had a high supply for all three. Forty‐eight per cent of the farms were characterized by a high supply of PP and NC. We observed a clear trade‐off between these two functions and B‐HP. Multivariate statistical analyses indicated that higher organic inputs combined with a lower mineral fertilization concur with higher biodiversity scores while maintaining a medium delivery of PP and NC. Additionally, we compared the outputs of the model predictions to independent variables that served as proxies for the soil functions and found: (a) croplands (but not grasslands) with high PP had a higher standardized yield than those with medium PP; (b) grasslands (but not croplands) with high NC had a significantly lower fungal to bacterial biomass ratio, suggesting faster decomposition channels; and (c) a positive though non‐significant trend between B‐HP score and rank according to soil invertebrate biodiversity. These comparisons suggest a successful upscaling of the models from field to farm level. Our study highlights the need for systematic collection of management‐related data for the assessment of soil functions. Multifunctionality can be achieved in agricultural soils; however, without specifically managing for it, biodiversity might come at a loss.Highlights We study how well soils can provide primary productivity, nutrient cycling and biodiversity. We study trade‐offs and synergies among soil functions, as well as the drivers of these relationships. Soil biodiversity is largely sacrificed for primary productivity and nutrient cycling Changes in pesticide and fertilizer management can increase soil multifunctionality.

Highlights

  • Humans derive multiple benefits from the soil system

  • We evaluated the performance of three out of the five soil functions (PP, nutrient cycling (NC) and biodiversity and habitat provision (B-HP)) in 52 Dutch farms using the multi-criteria decision models (MCDMs) developed by Debeljak et al (2019) after adjustment for use at the farm level

  • For the grassland farms we found no significant differences between the standardized yield for farms categorized into the low, medium or high supply of primary productivity (PP) (ANOVA, F = 2.13, p-value = .15)

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Summary

| INTRODUCTION

Humans derive multiple benefits from the soil system. Soils provide us with feed, fibre and fuel, cycle and mobilize nutrients, control diseases, regulate the climate, maintain water quality and provide a habitat to support biodiversity, amongst other things (Dominati, Patterson, & Mackay, 2010). Data were collected by Wageningen Economic Research from commercial farms through the Minerals Policy Monitoring Programme (RIVM 2019-0026, 2019), aimed at monitoring the effectiveness of the Nitrates Directive (EU, 1991) and the National Minerals Policy (MANFQ & MIWM, 2017) These data provide data on farm nutrient balances, including information on the type and amount of manure and mineral fertilization as well as the yield and area cover for each crop (Tables S1 and S2). Cation exchange capacity, groundwater depth and salinity were not measured in the field but were calculated using published transfer functions or extracted from local maps (Tables S2 and S3; De Vries, 2007; Dufour, 2000; Helling, Chesters, & Corey, 1964; Rawls, 1983; RIZA, 2004)

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