Imperial College London

ProfessorRobertEwers

Faculty of Natural SciencesDepartment of Life Sciences (Silwood Park)

Professor of Ecology
 
 
 
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Contact

 

+44 (0)20 7594 2223r.ewers

 
 
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Location

 

1.4Centre for Population BiologySilwood Park

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Summary

 

Summary

I work on spatial patterns of forest and the biodiversity contained within those forests.  Work involves investigating and trying to predict patterns of forest cover from local through to global scales, sampling of taxa within selected landscapes located in both temperate and tropical parts of the world, and manipulative experiments in both the field and lab.  Most of the work uses invertebrates as a model system, with a focus on beetles.

A large recent initiative is the Stability of Altered Forest Ecosystems (SAFE) Project.  This is one of the world's largest ecological experiments, taking advantage of a planned conversion of forest to oil palm in Borneo to experimentally design a landscape.  

Also, see more details about the activities of my research group on the Forest Ecology and Conservation Group website.

Research focus

Publications

Journals

Pfeifer M, Lefebvre V, Peres CA, et al., Creation of forest edges has a global impact on forest vertebrates, Nature, ISSN:0028-0836

Brudvig LA, Leroux SJ, Albert CH, et al., 2017, Evaluating conceptual models of landscape change, Ecography, Vol:40, ISSN:0906-7590, Pages:74-84

Hudson LN, Newbold T, Contu S, et al., 2017, The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project, Ecology and Evolution, Vol:7, ISSN:2045-7758, Pages:145-188

Luke SH, Barclay H, Bidin K, et al., 2017, The effects of catchment and riparian forest quality on stream environmental conditions across a tropical rainforest and oil palm landscape in Malaysian Borneo, Ecohydrology, Vol:10, ISSN:1936-0584

Nunes MH, Ewers RM, Turner EC, et al., 2017, Mapping Aboveground Carbon in Oil Palm Plantations Using LiDAR: A Comparison of Tree-Centric versus Area-Based Approaches, Remote Sensing, Vol:9, ISSN:2072-4292

More Publications