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Alex J. Dumbrell

Researcher at University of Essex

Publications -  78
Citations -  4064

Alex J. Dumbrell is an academic researcher from University of Essex. The author has contributed to research in topics: Biodiversity & Ecosystem. The author has an hindex of 28, co-authored 75 publications receiving 3110 citations. Previous affiliations of Alex J. Dumbrell include Bangor University & University of York.

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Relative roles of niche and neutral processes in structuring a soil microbial community

TL;DR: One of the most comprehensive investigations of community-level processes acting on soil microbes is revealed, revealing a community that although influenced by stochastic processes, still responded in a predictable manner to a major abiotic niche axis, soil pH.
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Distinct seasonal assemblages of arbuscular mycorrhizal fungi revealed by massively parallel pyrosequencing

TL;DR: A seasonally changing supply of host-plant carbon, reflecting changes in temperature and sunshine hours, may be the driving force in regulating the temporal dynamics of AM fungal communities.
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DNA metabarcoding-Need for robust experimental designs to draw sound ecological conclusions.

TL;DR: This book is dedicated to the victims of the Paris terror attacks of 22 July 1997, which claimed the lives of 129 people and injured more than 200 others.
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Idiosyncrasy and overdominance in the structure of natural communities of arbuscular mycorrhizal fungi: is there a role for stochastic processes?

TL;DR: E ecological models derived from studies on larger organisms to microbial communities highlight that, to a first approximation, microbial communities follow similar processes and have similar patterns to those of macroorganisms, but also the need for large-scale microbial data sets, if to understand the patterns and processes regulating global biodiversity.
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Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks.

TL;DR: A new global-scale, ecological approach to biomonitoring emerging within the next decade that can detect ecosystem change accurately, cheaply, and generically is envisioned.