His primary scientific interests are in Ecology, Ecosystem, Food web, Food chain and Identification. While working on this project, Daniel C. Reuman studies both Ecology and Window of opportunity. The concepts of his Ecosystem study are interwoven with issues in Phytoplankton, Biodiversity, Productivity, Biomass and Metacommunity.
His studies deal with areas such as Allometry and Scaling as well as Food web. His Food chain research includes themes of River ecosystem, Community, Relative species abundance and Apex predator. His research in Identification focuses on subjects like Ecology, which are connected to Variety.
His primary areas of investigation include Ecology, Ecosystem, Food web, Climate change and Ecology. His Ecology study frequently draws connections to other fields, such as Biological dispersal. Daniel C. Reuman has researched Ecosystem in several fields, including Taxon, Sea surface temperature, Biodiversity and Plankton.
His research in Food web intersects with topics in Relative species abundance and Allometry. In his research, Standard deviation and Species distribution is intimately related to Population model, which falls under the overarching field of Climate change. His research integrates issues of Structure, Theoretical computer science and Identification in his study of Ecology.
Daniel C. Reuman mainly investigates Ecology, Copula, Statistics, Liebig's law of the minimum and Regression. His study brings together the fields of Local population and Ecology. His Copula research integrates issues from Extreme events, Extinction and Theoretical ecology.
His Statistics research incorporates themes from Ecological stability and Population variance. His Liebig's law of the minimum study frequently links to adjacent areas such as Tail dependence.
Plankton, Ecology, Proximate, Skewness and Statistics are his primary areas of study. Daniel C. Reuman interconnects Sea surface temperature, Continuous Plankton Recorder, Surrogate data, Ecosystem and Abiotic component in the investigation of issues within Plankton. Ecology and Theoretical computer science are frequently intertwined in his study.
His Proximate research includes a combination of various areas of study, such as Multiple factors and Taylor's law.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CONSUMER–RESOURCE BODY‐SIZE RELATIONSHIPS IN NATURAL FOOD WEBS
Ulrich Brose;Tomas Jonsson;Eric L. Berlow;Eric L. Berlow;Philip Warren.
Ecology (2006)
Identification of 100 fundamental ecological questions
William J. Sutherland;Robert P. Freckleton;H. Charles J. Godfray;Steven R. Beissinger.
Journal of Ecology (2013)
Global patterns in predator–prey size relationships reveal size dependency of trophic transfer efficiency
Carolyn Barnes;David Maxwell;Daniel C. Reuman;Simon Jennings;Simon Jennings.
Ecology (2010)
Priority research areas for ecosystem services in a changing world
Emily Nicholson;Georgina M. Mace;Paul R. Armsworth;Giles Atkinson.
Journal of Applied Ecology (2009)
Extinction debt and windows of conservation opportunity in the Brazilian Amazon.
Oliver R. Wearn;Oliver R. Wearn;Daniel C. Reuman;Daniel C. Reuman;Robert M. Ewers.
Science (2012)
Ecological Networks in a Changing Climate
Guy Woodward;Jonathan P. Benstead;Oliver S. Beveridge;Julia Blanchard.
Advances in Ecological Research (2010)
Three allometric relations of population density to body mass : theoretical integration and empirical tests in 149 food webs
Daniel C. Reuman;Christian Mulder;Dave Raffaelli;Joel E. Cohen.
Ecology Letters (2008)
Impacts of Warming on the Structure and Functioning of Aquatic Communities: Individual- to Ecosystem-Level Responses
Eoin J. O'Gorman;Doris E. Pichler;Georgina Adams;Georgina Adams;Jonathan P. Benstead.
Advances in Ecological Research (2012)
International migration beyond gravity: A statistical model for use in population projections
Joel E. Cohen;Marta Roig;Daniel C. Reuman;Cai GoGwilt.
Proceedings of the National Academy of Sciences of the United States of America (2008)
Food webs are more than the sum of their tritrophic parts
Joel E. Cohen;Daniella N. Schittler;David G. Raffaelli;Daniel C. Reuman.
Proceedings of the National Academy of Sciences of the United States of America (2009)
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