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Richard D. Bardgett

Researcher at University of Manchester

Publications -  397
Citations -  62700

Richard D. Bardgett is an academic researcher from University of Manchester. The author has contributed to research in topics: Ecosystem & Soil biology. The author has an hindex of 115, co-authored 381 publications receiving 51685 citations. Previous affiliations of Richard D. Bardgett include Lancaster University & English Nature.

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Nitrogen enrichment modifies plant community structure via changes to plant–soil feedback

TL;DR: Evidence is provided that N enrichment modifies plant–soil feedback relationships and that these modifications may affect plant community composition.
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Amino acids as a nitrogen source in temperate upland grasslands: the use of dual labelled (13C, 15N) glycine to test for direct uptake by dominant grasses.

TL;DR: This study of temperate upland grasslands used glycine-2-(13)C-(15)N and ((15)NH4)(2)SO(4) labelling techniques to test the hypothesis that plant species which dominate 'unimproved' semi-natural grasslands (Festuca-Agrostis-Galium) are able to utilise amino acid N for growth, whereas those plants which dominate '.
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Plant–microbial linkages and ecosystem nitrogen retention: lessons for sustainable agriculture

TL;DR: The use of nitrogen in fertilizer has doubled the amount of reactive N in the biosphere, leading to increased greenhouse gas emissions and nutrient enrichment in aquatic and terrestrial ecosystems as mentioned in this paper, despite the global impact of N, many uncertainties exist about the factors that determine the loss and retention of fertilizer-associated N in terrestrial ecosystems.
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Legacy effects of grassland management on soil carbon to depth.

TL;DR: It is shown that carbon in grassland soils is vulnerable to management and that these management effects can be detected to considerable depth down the soil profile, albeit at decreasing significance with depth.
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Plant attributes explain the distribution of soil microbial communities in two contrasting regions of the globe.

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.