2020
DOI: 10.1111/ejss.13051
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Soil multifunctionality: Synergies and trade‐offs across European climatic zones and land uses

Abstract: With increasing societal demands for food security and environmental sustainability on land, the question arises: to what extent do synergies and trade‐offs exist between soil functions and how can they be measured across Europe? To address this challenge, we followed the functional land management approach and assessed five soil functions: primary productivity, water regulation and purification, climate regulation, soil biodiversity and nutrient cycling. Soil, management and climate data were collected from 9… Show more

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Cited by 48 publications
(41 citation statements)
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“…For example, the Soil Navigator decision support system was developed to assess and optimise various soil functions [90] on farm scale, incorporating soil management strategies. This was applied to monitor multiple soil functions at 94 sites across 13 European countries [91]. Vrebos et al [92] analysed and mapped four soil functions on agricultural lands across the EU.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the Soil Navigator decision support system was developed to assess and optimise various soil functions [90] on farm scale, incorporating soil management strategies. This was applied to monitor multiple soil functions at 94 sites across 13 European countries [91]. Vrebos et al [92] analysed and mapped four soil functions on agricultural lands across the EU.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, soil organic carbon is input into all five function models. This creates interconnections between soil functions as observed in the field; however, the threshold values and decision rules used to assess the input attributes are unique for each model [65]. As several indicators use the same input variables, statistical correlations among indicators are expected.…”
Section: Construction Of An Evaluation Methods System Of Soil Function 221 Construction Of Evaluation Indicator System At the Provincial mentioning
confidence: 99%
“…The problem that models are often right for the wrong reason (Kirchner, 2006), when only a single criterion is considered in model calibration (Houska et al, 2021), is added here as a challenge to calibration. When the focus is on increasing food production (Hamidov et al, 2018), soil processes are often compromised although soil functions have important feedbacks on ecosystem productivity, nutrient cycling, energy, and water (Deckmyn et al, 2020;Zwetsloot et al, 2020). This emphasizes the need to better calibrate the soil part in crop models beyond a limited consideration of classical agronomic variables such as only GY, AgBio, LAI, HI, or plant nutrient uptake and instead including soil related observations with high temporal and if feasible spatial (depth) resolution (Kersebaum et al, 2015).…”
Section: Modeling Agroecosystemsmentioning
confidence: 99%