Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

1690 Citations (Scopus)

333 Downloads (Pure)

Keywords

@article{7dfa2be95b904dd9b02de723dd9e2141,

title = "Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning",

keywords = "international",

author = "Cameron Wagg and Klaus Schlaeppi and S. Banerjee and Eiko Kuramae and \{Van der Heijden\}, M.G.A.",

note = "6795, ME; Data archiving: data archived in ENA (PRJEB22310) (not NIOO data)",

year = "2019",

doi = "10.1038/s41467-019-12798-y",

language = "English",

volume = "10",

journal = "Nature Communications",

issn = "2041-1723",

publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning

AU - Wagg, Cameron

AU - Schlaeppi, Klaus

AU - Banerjee, S.

AU - Kuramae, Eiko

AU - Van der Heijden, M.G.A.

N1 - 6795, ME; Data archiving: data archived in ENA (PRJEB22310) (not NIOO data)

PY - 2019

Y1 - 2019

KW - international

U2 - 10.1038/s41467-019-12798-y

DO - 10.1038/s41467-019-12798-y

M3 - Article

SN - 2041-1723

VL - 10

JO - Nature Communications

JF - Nature Communications

M1 - 4841

ER -