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Fungal functional ecology: bringing a trait‐based approach to plant‐associated fungi
Author(s) -
Zanne Amy E.,
Abarenkov Kessy,
Afkhami Michelle E.,
AguilarTrigueros Carlos A.,
Bates Scott,
Bhatnagar Jennifer M.,
Busby Posy E.,
Christian Natalie,
Cornwell William K.,
Crowther Thomas W.,
FloresMoreno Habacuc,
Floudas Dimitrios,
Gazis Romina,
Hibbett David,
Kennedy Peter,
Lindner Daniel L.,
Maynard Daniel S.,
Milo Amy M.,
Nilsson Rolf Henrik,
Powell Jeff,
Schildhauer Mark,
Schilling Jonathan,
Treseder Kathleen K.
Publication year - 2020
Publication title -
biological reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.993
H-Index - 165
eISSN - 1469-185X
pISSN - 1464-7931
DOI - 10.1111/brv.12570
Subject(s) - functional ecology , ecology , biology , trait , functional diversity , guild , mycorrhizal fungi , evolutionary ecology , ecosystem , computer science , programming language , habitat , immunology , inoculation , host (biology)
Fungi play many essential roles in ecosystems. They facilitate plant access to nutrients and water, serve as decay agents that cycle carbon and nutrients through the soil, water and atmosphere, and are major regulators of macro‐organismal populations. Although technological advances are improving the detection and identification of fungi, there still exist key gaps in our ecological knowledge of this kingdom, especially related to function . Trait‐based approaches have been instrumental in strengthening our understanding of plant functional ecology and, as such, provide excellent models for deepening our understanding of fungal functional ecology in ways that complement insights gained from traditional and ‐omics‐based techniques. In this review, we synthesize current knowledge of fungal functional ecology, taxonomy and systematics and introduce a novel database of fungal functional traits (Fun Fun ). Fun Fun is built to interface with other databases to explore and predict how fungal functional diversity varies by taxonomy, guild, and other evolutionary or ecological grouping variables. To highlight how a quantitative trait‐based approach can provide new insights, we describe multiple targeted examples and end by suggesting next steps in the rapidly growing field of fungal functional ecology.

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