A network approach for inferring species associations from co-occurrence data

Naia Morueta-Holme; Benjamin Blonder; Brody Sandel; Brian J. McGill; Robert K. Peet; Jeffrey E. Ott; Cyrille Violle; Brian J. Enquist; Peter M. Jørgensen; Jens-Christian Svenning

doi:10.1111/ecog.01892

A network approach for inferring species associations from co-occurrence data

Naia Morueta-Holme, Benjamin Blonder, Brody Sandel, Brian J. McGill, Robert K. Peet, Jeffrey E. Ott, Cyrille Violle, Brian J. Enquist, Peter M. Jørgensen, Jens-Christian Svenning

59 Citations (Scopus)

Original language	English
Journal	Ecography
Volume	39
Issue number	12
Pages (from-to)	1139-1150
Number of pages	12
ISSN	0906-7590
DOIs	https://doi.org/10.1111/ecog.01892
Publication status	Published - 1 Dec 2016
Externally published	Yes

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title = "A network approach for inferring species associations from co-occurrence data",

author = "Naia Morueta-Holme and Benjamin Blonder and Brody Sandel and McGill, {Brian J.} and Peet, {Robert K.} and Ott, {Jeffrey E.} and Cyrille Violle and Enquist, {Brian J.} and J{\o}rgensen, {Peter M.} and Jens-Christian Svenning",

year = "2016",

month = dec,

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doi = "10.1111/ecog.01892",

language = "English",

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journal = "Ecography",

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T1 - A network approach for inferring species associations from co-occurrence data

AU - Morueta-Holme, Naia

AU - Blonder, Benjamin

AU - Sandel, Brody

AU - McGill, Brian J.

AU - Peet, Robert K.

AU - Ott, Jeffrey E.

AU - Violle, Cyrille

AU - Enquist, Brian J.

AU - Jørgensen, Peter M.

AU - Svenning, Jens-Christian

PY - 2016/12/1

Y1 - 2016/12/1

U2 - 10.1111/ecog.01892

DO - 10.1111/ecog.01892

M3 - Journal article

SN - 0906-7590

VL - 39

SP - 1139

EP - 1150

JO - Ecography

JF - Ecography

IS - 12

ER -

A network approach for inferring species associations from co-occurrence data

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