E
Emily B. Graham
Researcher at Pacific Northwest National Laboratory
Publications - 89
Citations - 2988
Emily B. Graham is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Ecosystem & Hyporheic zone. The author has an hindex of 20, co-authored 79 publications receiving 1866 citations. Previous affiliations of Emily B. Graham include University of Colorado Boulder & Battelle Memorial Institute.
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Journal ArticleDOI
Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?
Emily B. Graham,Emily B. Graham,Joseph E. Knelman,Joseph E. Knelman,Andreas Schindlbacher,Steven D. Siciliano,Marc Breulmann,Anthony C. Yannarell,J. M. Beman,Guy C. J. Abell,Laurent Philippot,James I. Prosser,Arnaud Foulquier,Jorge Curiel Yuste,Helen C. Glanville,Davey L. Jones,Roey Angel,Janne Salminen,Ryan J. Newton,Helmut Bürgmann,Lachlan J. Ingram,Ute Hamer,Henri M.P. Siljanen,Krista Peltoniemi,Karin Potthast,Lluís Bañeras,Martin Hartmann,Samiran Banerjee,Ri Qing Yu,Geraldine Nogaro,Andreas Richter,Marianne Koranda,Sarah C. Castle,Marta Goberna,Bongkeun Song,Amitava Chatterjee,Olga C. Nunes,Ana R. Lopes,Yiping Cao,Aurore Kaisermann,Sara Hallin,Michael S. Strickland,Jordi Garcia-Pausas,Josep Barba,Hojeong Kang,Kazuo Isobe,Sokratis Papaspyrou,Roberta Pastorelli,Alessandra Lagomarsino,Eva S. Lindström,Nathan Basiliko,Diana R. Nemergut,Diana R. Nemergut +52 more
TL;DR: In this article, a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets is presented.
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Relationships between protein-encoding gene abundance and corresponding process are commonly assumed yet rarely observed
Jennifer D. Rocca,Edward K. Hall,Edward K. Hall,Jay T. Lennon,Sarah E. Evans,Mark P. Waldrop,James B. Cotner,Diana R. Nemergut,Emily B. Graham,Matthew D. Wallenstein +9 more
TL;DR: A meta-analysis of the relationships between gene and/or transcript abundances and corresponding process rates found that within studies there was a significant but weak positive relationship between gene abundance and the corresponding process.
Journal ArticleDOI
Linking microbial community structure and microbial processes: an empirical and conceptual overview
Raven L. Bier,Emily S. Bernhardt,Claudia M. Boot,Emily B. Graham,Emily B. Graham,Edward K. Hall,Jay T. Lennon,Diana R. Nemergut,Diana R. Nemergut,Brooke B. Osborne,Clara Ruiz-González,Joshua P. Schimel,Mark P. Waldrop,Matthew D. Wallenstein +13 more
TL;DR: It is suggested that few publications report statistically testing structure-process links, and when links are tested for they often occur but share few commonalities in the processes or structures that were linked and the techniques used for measuring them.
Journal ArticleDOI
Understanding how microbiomes influence the systems they inhabit.
Edward K. Hall,Emily S. Bernhardt,Raven L. Bier,Mark A. Bradford,Claudia M. Boot,James B. Cotner,Paul A. del Giorgio,Sarah E. Evans,Emily B. Graham,Emily B. Graham,Stuart E. Jones,Jay T. Lennon,Kenneth J. Locey,Diana R. Nemergut,Brooke B. Osborne,Jennifer D. Rocca,Jennifer D. Rocca,Joshua P. Schimel,Mark P. Waldrop,Matthew D. Wallenstein +19 more
TL;DR: The importance of considering known microbial processes to inform the understanding of the role of microbial communities in ecosystem processes is discussed, and a move away from approaches based solely on correlation analyses is discussed.
Journal ArticleDOI
Do we need to understand microbial communities to predict ecosystem function? A comparison of statistical models of nitrogen cycling processes
Emily B. Graham,William R. Wieder,William R. Wieder,Jonathan W. Leff,Jonathan W. Leff,Samantha R. Weintraub,Alan R. Townsend,Cory C. Cleveland,Laurent Philippot,Diana R. Nemergut +9 more
TL;DR: The results suggest that environmental factors the authors did not measure may be more important in structuring communities and regulating processes in October than in May, and temporal dynamics are key to understanding the relationships between edaphic factors, microbial communities and ecosystem function in this system.