Land use, but not distance, drives fungal beta diversity. Issue 11 (25th August 2021)

• Record Type: Journal Article
• Authors: Marion, Zachary H.; Orwin, Kate H.; Wood, Jamie R.; Holdaway, Robert J.; Dickie, Ian A.
• Is Part Of: Ecology. Volume 102:Issue 11(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-08-25
• Subjects: Bayesian modeling -- beta regression -- biotic homogenization -- dissimilarity -- diversity profile -- effective diversity -- fungal diversity -- Hill numbers -- land‐use intensification -- phyllosphere -- rhizosphere -- species turnover; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.3487
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: Fungi are one of the most diverse taxonomic groups on the planet, but much of their diversity and community organization remains unknown, especially at local scales. Indeed, a consensus on how fungal communities change across spatial or temporal gradients—beta diversity—remains nascent. Here, we use a data set of plant‐associated fungal communities (leaf, root, and soil) across multiple land uses from a New Zealand–wide study to look at fungal community turnover at small spatial scales (<1 km). Using hierarchical Bayesian beta regressions and Hill‐number–based diversity profiles, we show that fungal communities are often markedly dissimilar at even small distances, regardless of land use. Moreover, diversity profile plots indicate that leaf, root, and soil‐associated communities show different patterns in the dominance or rarity of dissimilar species. Leaf‐associated communities differed from site to site in their low‐abundance species, whereas root‐associated communities differed between sites in the dominant species; soil‐associated communities were intermediate. Land‐use differences were largely driven by the lower turnover between high‐productivity grassland sites. Further, we discuss the implications and benefits of using diversity profile plots of turnover to draw inferences into the mechanisms of how communities are structured across spatial gradients.