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Ellen L. Fry

Researcher at University of Manchester

Publications -  37
Citations -  2172

Ellen L. Fry is an academic researcher from University of Manchester. The author has contributed to research in topics: Ecosystem & Plant community. The author has an hindex of 18, co-authored 29 publications receiving 1014 citations. Previous affiliations of Ellen L. Fry include Imperial College London & University of Western Sydney.

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TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
- 01 Jan 2020 - 
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
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Combatting global grassland degradation.

Richard D. Bardgett, +23 more
TL;DR: In this paper, the authors examine the current state of global grasslands and explore the extent and dominant drivers of their degradation, and set out the steps needed to protect these systems and promote their restoration.
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Fifty important research questions in microbial ecology

Rachael E. Antwis, +28 more
- 03 Apr 2017 - 
TL;DR: 50 research questions of fundamental importance to the science or application of microbial ecology are identified, with the intention of summarising the field and bringing focus to new research avenues.
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Drought reduces floral resources for pollinators

Benjamin B. Phillips, +6 more
- 07 Jun 2018 - 
TL;DR: The findings indicate that drought has a substantial impact on the availability of floral resources in calcareous grassland, which will have consequences for pollinator behaviour and populations.
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Plant attributes explain the distribution of soil microbial communities in two contrasting regions of the globe.

Manuel Delgado-Baquerizo, +10 more
- 01 Jul 2018 - 
TL;DR: It is reported that aboveground plant community attributes, such as diversity and cover, and functional traits can predict a unique portion of the variation in the diversity and community composition of soil bacteria and fungi that cannot be explained by soil abiotic properties and climate.