Codling, Edward A and Dumbrell, Alex J (2013) Bridging the gap between theory and data in ecological models. Ecological Complexity, 16. pp. 1-8. DOI https://doi.org/10.1016/j.ecocom.2013.09.003
Codling, Edward A and Dumbrell, Alex J (2013) Bridging the gap between theory and data in ecological models. Ecological Complexity, 16. pp. 1-8. DOI https://doi.org/10.1016/j.ecocom.2013.09.003
Codling, Edward A and Dumbrell, Alex J (2013) Bridging the gap between theory and data in ecological models. Ecological Complexity, 16. pp. 1-8. DOI https://doi.org/10.1016/j.ecocom.2013.09.003
Abstract
In September 2011, the University of Essex, UK, hosted an interdisciplinary conference, Mathematical and Theoretical Ecology 2011 (MATE 2011), with the theme of 'Linking models with ecological processes'. The aim of the meeting was to create discussion and debate between modellers and empiricists working in ecology. A wide range of topics were discussed at the meeting including evolutionary and community models of ecosystem structure, epidemiological models, non-linear models of population dynamics, spatiotemporal models, individual and collective movement behaviour, and applications of ecological models to engineering problems. In this introductory article, we provide a report of the MATE 2011 meeting, and briefly review the most recent relevant research in the fields of mathematical and theoretical ecology. We introduce and summarise the eight contributed articles that were selected for this special issue. The diverse range of topics and the wide range of mathematical, statistical and computational tools used illustrate the broad appeal and depth of research in the rich field of mathematical and theoretical ecology. © 2013 Elsevier B.V.
Item Type: | Article |
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Uncontrolled Keywords: | Behaviour; Ecology; Interdisciplinary research; Mathematical modelling; Population dynamics; Spatiotemporal models |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > HA Statistics Q Science > QA Mathematics Q Science > QH Natural history |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 12 Nov 2014 12:12 |
Last Modified: | 04 Dec 2024 07:05 |
URI: | http://repository.essex.ac.uk/id/eprint/11514 |