A CEES project
An expanding population, with expanding resource use per capita, is resulting in an alarming loss and degradation of ecosystems. In order to balance the need for increased food, timber and textiles production, with industrial use of natural resources, with the healthy functioning of natural, semi-natural and artificial ecosystems, we require predictive, global models of the response of ecosystems to various human activities.
CEES is working with the United Nations Environment Programme World Conservation Monitoring Centre ( UNEP-WCMC ), to develop just such a model. By combing different strands of ecological theory – from the behaviour of individual animals and plants, through communities and foodwebs, to ecosystem function and biogeochemistry – we aim to produce a novel 'General Ecosystem Model', GEM, that is useful both for guiding policy in the near term, and for guiding environmental research in the longer term. Moreover, we aim to provide others with the software tools needed to build such models. In this way, we hope to trigger the development of a number of (healthily) competing models of global ecosystem function.
We have just completed the first prototype of our GEM called the Madingley Model. You can read more about the model at www.madingleymodel.org. We also have a comment piece in Nature ('Time to Model All Life on Earth'), calling for other groups to build GEMs and outlining how this can be done.
- S. Caldararu, D. W. Purves, and P.I. Palmer, Phenology as a strategy for carbon optimality: a global model, in Biogeosciences, vol. 11, 2014
- Matthew R Evans, Mike Bithell, Stephen J. Cornell, Sasha R. X. Dall, Sandra Diaz, Stephen Emmott, Bruno Ernande, Volker Grimm, David J. Hodgson, Simon L. Lewis, Georgina M. Mace, Michael Morecroft, Aristides Moustakas, Eugene Murphy, Tim Newbold, K. J. Norris, Owen Petchey, Matthew J. Smith, Justin M. J. Travis, and Tim G. Benton, Predictive systems ecology, in Proceedings of the Royal Society B, Royal Society, 22 November 2013
- Isabel M D Rosa, Drew Purves, Carlos Souza Jr, and Robert M Ewers, Predictive Modelling of Contagious Deforestation in the Brazilian Amazon, in PLOS One, PLoS, October 2013
- Sadia E Ahmed, Carlos M Souza, J Riberio, and Rob M Ewers, Temporal patterns of road network development in the Brazilian Amazon, in Regional Environmental Change, vol. 13, pp. 927-937, Springer, October 2013
- Gian Marco Palamara, Gustav W. Delius, Matthew J. Smith, and Owen L. Petchey, Predation effects on mean time to extinction under demographic stochasticity, in Journal of Theoretical Biology, Elsevier, June 2013
- Michael Harfoot, Derek P. Tittensor, Tim Newbold, Greg McInerny, Matthew J. Smith, and Jorn P.W. Scharlemann, Integrated assessment models for ecologists: the present and the future, in Global Ecology and Biogeography, Wiley, June 2013
- Drew W Purves, Jorn P W Scharlemann, Mike Harfoot, Tim Newbold, Derek Tittensor, Jon Hutton, and Stephen Emmott, Time to Model All Life on Earth, in Nature, vol. 493, no. 7432, pp. 295-297, Nature Publishing Group, 17 January 2013
- Tim Newbold, Jorn P W Scharlemann, Stuart H M Butchart, Cagan A Sekercioglu, Rob Alkemade, Hollie Booth, and Drew W Purves, Ecological traits affect the response of tropical forest bird species to land-use intensity, in Proceedings of the Royal Society of London, Series B, The Royal Society, November 2012
- Tim Newbold, Stuart Butchart, Cagan Sekercioglu, Drew Purves, and Jorn Scharlemann, Mapping Functional Traits: Comparing Abundance and Presence-Absence Estimates at Large Spatial Scales, in PLoS ONE, vol. 7, no. 8, PLoS, 31 August 2012
People associated with this project
Dr Drew Purves (Head of CEES)
Dr Jorn Scharlemann (Formerly at UNEP-WCMC, now Reader in Ecology and Evolution, University of Sussex)
Dr Tim Newbold (Joint postdoc with UNEP-WCMC)
Dr Mike Harfoot (Joint postdoc with UNEP-WCMC)
Dr Derek Tittensor (Joint postdoc with UNEP-WCMC)
Dr Lucas Joppa (Scientist, CEES group)
Dr Vassily Lyutsarev (Senior Developer, CEES group)
Dr Jon Hutton (Director, UNEP-WCMC)
Dr Stephen Emmott (Head, Computational Science Lab)