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Microplastics deplete soil available nutrients: a global meta-analysis with machine learning reveals critical thresholds and interactive controls

dc.contributor.authorXiang, Yangzhou
dc.contributor.authorPeñuelas, Josep
dc.contributor.authorRillig, Matthias C.
dc.contributor.authorLuo, Xuqiang
dc.contributor.authorNizzetto, Luca
dc.contributor.authorAkkanen, Jarkko
dc.contributor.authorLiu, Ying
dc.contributor.authorLuo, Yang
dc.contributor.authorYao, Bin
dc.contributor.authorLi, Yuan
dc.contributor.departmentid4100211410
dc.contributor.orcidhttps://orcid.org/0000-0003-1047-0690
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2026-05-15T09:47:16Z
dc.date.issued2026
dc.description.abstractMicroplastics (MPs) contamination threatens soil nutrient bioavailability, yet quantitative understanding of effect magnitudes and controlling factors remains fragmented across diverse environmental contexts. Here, we synthesized 206 studies (2853 observations) spanning 12 countries and diverse agricultural systems (soil pH 4.5–8.5; organic matter 5–80 g kg–1) to quantify MPs impacts on soil available nitrogen (AN), phosphorus (AP), and potassium (AK). We integrated random-effects meta-analysis using log response ratios (lnRR) with eXtreme Gradient Boosting (XGBoost) machine learning interpreted through SHapley Additive exPlanations (SHAP) to identify non-linear relationships and interactive controls. The dataset comprised predominantly controlled experiments (pot: 49%; incubation: 50%; field: 1%), with geographical concentration in East Asia (92%). Across all experimental setups, MPs significantly depleted AN by 5.3%, AP by 9.4%, and AK by 7.0% relative to controls. However, effects were context-dependent: pot/incubation studies showed significant depletion, while field studies reported no significant changes. XGBoost models (R2 = 0.44–0.62) indicated hierarchical control structures, with soil pH dominating AN responses (relative importance: 18.4%) and MPs concentration governing AP (15.2%) and AK (14.8%). SHAP analysis identified critical thresholds: particle size effects plateaued above 100 μm, concentration impacts saturated beyond 10 g kg–1, and pH-dependent reversals shifted from depletion in acidic soils to enrichment under alkaline conditions. Biodegradable plastics (e.g., PLA, PBAT) caused equal or greater short-term nutrient immobilization than conventional polymers, though mechanisms likely differ: biodegradable MPs may stimulate microbial biomass growth that temporarily sequesters nutrients, whereas conventional plastics primarily act through surface sorption. Partial dependence analysis indicated synergistic interactions: small particles (<50 μm) combined with high concentrations (>30 g kg–1) induced depletion 1.5–2.3-fold beyond additive expectations. These findings establish quantitative thresholds for risk assessment and demonstrate that MPs-induced nutrient limitation, observed primarily in controlled settings, could affect crop yields, necessitating interventions to prevent irreversible soil fertility degradation, though field-scale validation remains essential.
dc.format.pagerange14 p.
dc.identifier.citationHow to cite: Yangzhou Xiang, Josep Peñuelas, Matthias C. Rillig, Xuqiang Luo, Luca Nizzetto, Jarkko Akkanen, Ying Liu, Yang Luo, Bin Yao, Yuan Li, Microplastics deplete soil available nutrients: a global meta-analysis with machine learning reveals critical thresholds and interactive controls, Water Research, Volume 301, 2026, 126056, ISSN 0043-1354, https://doi.org/10.1016/j.watres.2026.126056
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/104043
dc.identifier.urlhttps://doi.org/10.1016/j.watres.2026.126056
dc.identifier.urnURN:NBN:fi-fe2026051545674
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationei
dc.okm.discipline1172
dc.okm.discipline1181
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa2 = Osittain avoimessa julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherElsevier
dc.relation.articlenumber126056
dc.relation.doi10.1016/j.watres.2026.126056
dc.relation.ispartofseriesWater research
dc.relation.issn0043-1354
dc.relation.issn1879-2448
dc.relation.volume301
dc.rightsCC BY 4.0
dc.source.justusid140366
dc.subjectsoil–water interface
dc.subjectnutrient bioavailability
dc.subjectmeta-analysis
dc.subjectmachine learning
dc.subjectsorption dynamics
dc.tehOHFO-Balance-2
dc.titleMicroplastics deplete soil available nutrients: a global meta-analysis with machine learning reveals critical thresholds and interactive controls
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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