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Laura Williams

Researcher at University of Minnesota

Publications -  29
Citations -  1723

Laura Williams is an academic researcher from University of Minnesota. The author has contributed to research in topics: Biodiversity & Ecosystem. The author has an hindex of 11, co-authored 24 publications receiving 1113 citations. Previous affiliations of Laura Williams include Monash University, Clayton campus & Monash University.

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Revisiting the Holy Grail: using plant functional traits to understand ecological processes

TL;DR: In this article, the authors highlight recent work and outstanding questions in three areas: (i) selecting relevant traits; (ii) describing intraspecific trait variation and incorporating this variation into models; and (iii) scaling trait data to community and ecosystem-level processes.
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Spatial complementarity in tree crowns explains overyielding in species mixtures

TL;DR: Evidence is provided that one form of complementarity in plant communities—complementarity among crowns in canopy space—is a mechanism, related to light interception and use, that links biodiversity with ecosystem productivity and may contribute to diversity-enhanced productivity in forests.
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Early stage litter decomposition across biomes

Ika Djukic, +309 more
TL;DR: In this article, the potential litter decomposition was investigated by using standardized substrates (Rooibos and Green tea) for comparison of litter mass loss at 336 sites (ranging from
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Functional identity is the main driver of diversity effects in young tree communities

TL;DR: Results from the first tree diversity experiment that separated the effect of selection from that of complementarity by varying community composition in high-density plots along a gradient of FD, independent of species richness and testing for the effects of FD and community weighted means of traits on stem biomass increment.
Journal Article

Revisiting the Holy Grail: Using plant functional traits to understand ecological processes

TL;DR: The utility of trait‐based approaches in ecology will benefit from efforts that demonstrate how these traits and indices influence organismal, community, and ecosystem processes across vegetation types, which may be achieved through meta‐analysis and enhancement of trait databases.