David J. Hodgson mostly deals with Ecology, Genetics, Zoology, Evolutionary ecology and Population projection. Ecology and Population growth are commonly linked in his work. While the research belongs to areas of Population growth, he spends his time largely on the problem of Semelparity and iteroparity, intersecting his research to questions surrounding Phylogenetic tree and Life history theory.
His Zoology research incorporates themes from Genetic variability, Ecotoxicology, Microsatellite, Allele and Zebrafish. The concepts of his Evolutionary ecology study are interwoven with issues in Conservation status, Open data, Matrix population models and Ecoregion. He has included themes like Econometrics and Distance measures in his Population projection study.
His main research concerns Ecology, Zoology, Population projection, Habitat and Genetics. His biological study spans a wide range of topics, including Adaptive radiation, Population growth and Biological dispersal. His study on Adaptive radiation also encompasses disciplines like
The study incorporates disciplines such as Clade, Phylogenetic tree, Zebrafish and Reproductive success in addition to Zoology. His Population projection research integrates issues from Ecoregion, Econometrics and Population model. In his study, which falls under the umbrella issue of Habitat, Sea turtle and Fishery is strongly linked to Foraging.
His primary areas of investigation include Ecology, Habitat, Wildlife, Muscardinus and Dormouse. His studies deal with areas such as Biological dispersal and Extinction as well as Ecology. His studies in Habitat integrate themes in fields like Foraging and Shore.
His Wildlife study integrates concerns from other disciplines, such as Disease and Social network. His research on Muscardinus also deals with topics like
David J. Hodgson mainly focuses on Ecology, Wildlife disease, Wildlife, Population projection and Population growth. His work on Habitat as part of his general Ecology study is frequently connected to Variance, thereby bridging the divide between different branches of science. In his study, Environmental planning, Ecology, Disease and Threatened species is inextricably linked to Social network, which falls within the broad field of Wildlife disease.
His Wildlife research is multidisciplinary, incorporating elements of Muscardinus, Dormouse, Woodland and Arboreal locomotion. His research integrates issues of Conservation status, Matrix population models, Evolutionary ecology and Ecoregion in his study of Population projection. His Population growth study incorporates themes from Extinction, Fecundity, Environmental change, Climate change and Diversity.
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.
A brief introduction to mixed effects modelling and multi-model inference in ecology.
.
PeerJ (2018)
Identification of 100 fundamental ecological questions
William J. Sutherland;Robert P. Freckleton;H. Charles J. Godfray;Steven R. Beissinger.
(2013)
Marine renewable energy: potential benefits to biodiversity? An urgent call for research
.
Journal of Applied Ecology (2009)
What do you mean, 'resilient'?
.
Trends in Ecology and Evolution (2015)
The Consequences of Feminization in Breeding Groups of Wild Fish
.
Environmental Health Perspectives (2010)
The compadre Plant Matrix Database: an open online repository for plant demography
Roberto Salguero-Gómez;Roberto Salguero-Gómez;Roberto Salguero-Gómez;Owen R. Jones;C. Ruth Archer;Yvonne M. Buckley;Yvonne M. Buckley.
Journal of Ecology (2015)
Fast-slow continuum and reproductive strategies structure plant life-history variation worldwide.
.
Proceedings of the National Academy of Sciences of the United States of America (2016)
The evolution of body size under environmental gradients in ectotherms: why should Bergmann's rule apply to lizards?
.
BMC Evolutionary Biology (2008)
COMADRE: a global data base of animal demography
.
Journal of Animal Ecology (2016)
Host ecology determines the relative fitness of virus genotypes in mixed‐genotype nucleopolyhedrovirus infections
D. J. Hodgson;R. B. Hitchman;A. J. Vanbergen;R. S. Hails.
Journal of Evolutionary Biology (2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Exeter
University of California, Berkeley
Animal and Plant Health Agency
University of Oxford
University of Exeter
University of Exeter
University of Exeter
University of Exeter
University of Exeter
University of Exeter
University of Utah
Imperial College London
Tel Aviv University
University of South Florida
Griffith University
Pennsylvania State University
University of Göttingen
Johannes Gutenberg University of Mainz
Indiana University
Spanish National Research Council
Arizona State University
University of Reading
University of Melbourne
University of Göttingen
University of California, San Diego
California Polytechnic State University