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Soil net nitrogen mineralisation across global grasslands

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • A.C. Risch
  • S. Zimmermann
  • R. Ochoa-Hueso
  • M. Schütz
  • B. Frey
  • J.L. Firn
  • P.A. Fay
  • F. Hagedorn
  • E.T. Borer
  • E.W. Seabloom
  • W.S. Harpole
  • J.M.H. Knops
  • R.L. McCulley
  • M.L. Silveira
  • P.B. Adler
  • S. Báez
  • L.A. Biederman
  • J.M. Blair
  • C.S. Brown
  • M.C. Caldeira
  • S.L. Collins
  • P. Daleo
  • A. di Virgilio
  • A. Ebeling
  • N. Eisenhauer
  • E. Esch
  • A. Eskelinen
  • N. Hagenah
  • Y. Hautier
  • K.P. Kirkman
  • A.S. MacDougall
  • J.L. Moore
  • S.A. Power
  • S.M. Prober
  • C. Roscher
  • M. Sankaran
  • J. Siebert
  • K.L. Speziale
  • P.M. Tognetti
  • R. Virtanen
  • L. Yahdjian
  • B. Moser
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Article number4981
<mark>Journal publication date</mark>31/10/2019
<mark>Journal</mark>Nature Communications
Issue number1
Volume10
Number of pages10
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Soil nitrogen mineralisation (Nmin), the conversion of organic into inorganic N, is important for productivity and nutrient cycling. The balance between mineralisation and immobilisation (net Nmin) varies with soil properties and climate. However, because most global-scale assessments of net Nmin are laboratory-based, its regulation under field-conditions and implications for real-world soil functioning remain uncertain. Here, we explore the drivers of realised (field) and potential (laboratory) soil net Nmin across 30 grasslands worldwide. We find that realised Nmin is largely explained by temperature of the wettest quarter, microbial biomass, clay content and bulk density. Potential Nmin only weakly correlates with realised Nmin, but contributes to explain realised net Nmin when combined with soil and climatic variables. We provide novel insights of global realised soil net Nmin and show that potential soil net Nmin data available in the literature could be parameterised with soil and climate data to better predict realised Nmin.