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Author Radujković, D.; Vicca, S.; van Rooyen, M.; Wilfahrt, P.; Brown, L.; Jentsch, A.; Reinhart, K.O.; Brown, C.; De Gruyter, J.; Jurasinski, G.; Askarizadeh, D.; Bartha, S.; Beck, R.; Blenkinsopp, T.; Cahill, J.; Campetella, G.; Canullo, R.; Chelli, S.; Enrico, L.; Fraser, L.; Hao, X.; Henry, H.A.L.; Hohn, M.; Jouri, M.H.; Koch, M.; Lawrence Lodge, R.; Li, F.Y.; Lord, J.M.; Milligan, P.; Minggagud, H.; Palmer, T.; Schröder, B.; Szabó, G.; Zhang, T.; Zimmermann, Z.; Verbruggen, E. pdf  url
doi  openurl
  Title Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context‐dependency Type A1 Journal article
  Year (down) 2023 Publication Molecular ecology Abbreviated Journal  
  Volume 32 Issue 24 Pages 6924-6938  
  Keywords A1 Journal article; Plant and Ecosystems (PLECO) – Ecology in a time of change  
  Abstract Environmental circumstances shaping soil microbial communities have been studied extensively. However, due to disparate study designs, it has been difficult to resolve whether a globally consistent set of predictors exists, or context‐dependency prevails. Here, we used a network of 18 grassland sites (11 of those containing regional plant productivity gradients) to examine (i) if similar abiotic or biotic factors predict both large‐scale (across sites) and regional‐scale (within sites) patterns in bacterial and fungal community composition, and (ii) if microbial community composition differs consistently at two levels of regional plant productivity (low vs. high). Our results revealed that bacteria were associated with particular soil properties (such as base saturation) and both bacteria and fungi were associated with plant community composition across sites and within the majority of sites. Moreover, a discernible microbial community signal emerged, clearly distinguishing high and low‐productivity soils across different grasslands independent of their location in the world. Hence, regional productivity differences may be typified by characteristic soil microbial communities across the grassland biome. These results could encourage future research aiming to predict the general effects of global changes on soil microbial community composition in grasslands and to discriminate fertile from infertile systems using generally applicable microbial indicators.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 001090315100001 Publication Date 2023-10-24  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0962-1083 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 4.9 Times cited Open Access  
  Notes Approved Most recent IF: 4.9; 2023 IF: 6.086  
  Call Number UA @ admin @ c:irua:200464 Serial 9194  
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