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

 

Publications

Publication Type
Year
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133 results found

Rosa IMD, Purves D, Souza C, Ewers RMet al., 2013, Predictive modelling of contagious deforestation in the brazilian amazon, PLOS One, Vol: 8, ISSN: 1932-6203

<p>Tropical forests are diminishing in extent due primarily to the rapid expansion of agriculture, but the future magnitude and geographical distribution of future tropical deforestation is uncertain. Here, we introduce a dynamic and spatially-explicit model of deforestation that predicts the potential magnitude and spatial pattern of Amazon deforestation. Our model differs from previous models in three ways: (1) it is probabilistic and quantifies uncertainty around predictions and parameters; (2) the overall deforestation rate emerges “bottom up”, as the sum of local-scale deforestation driven by local processes; and (3) deforestation is contagious, such that local deforestation rate increases through time if adjacent locations are deforested. For the scenarios evaluated–pre- and post-PPCDAM (“Plano de Ação para Proteção e Controle do Desmatamento na Amazônia”)–the parameter estimates confirmed that forests near roads and already deforested areas are significantly more likely to be deforested in the near future and less likely in protected areas. Validation tests showed that our model correctly predicted the magnitude and spatial pattern of deforestation that accumulates over time, but that there is very high uncertainty surrounding the exact sequence in which pixels are deforested. The model predicts that under pre-PPCDAM (assuming no change in parameter values due to, for example, changes in government policy), annual deforestation rates would halve between 2050 compared to 2002, although this partly reflects reliance on a static map of the road network. Consistent with other models, under the pre-PPCDAM scenario, states in the south and east of the Brazilian Amazon have a high predicted probability of losing nearly all forest outside of protected areas by 2050. This pattern is less strong in the post-PPCDAM scenario. Contagious spread along roads and through areas lacking formal protecti

Journal article

Ewers RM, Didham RK, Pearse WD, Lefebvre V, Rosa IMD, Carreiras JMB, Lucas RM, Reuman DCet al., 2013, Using landscape history to predict biodiversity patterns in fragmented landscapes, ECOLOGY LETTERS, Vol: 16, Pages: 1221-1233, ISSN: 1461-023X

Journal article

Ahmed SE, Souza CM, Riberio J, Ewers RMet al., 2013, Temporal patterns of road network development in the Brazilian Amazon, REGIONAL ENVIRONMENTAL CHANGE, Vol: 13, Pages: 927-937, ISSN: 1436-3798

Journal article

Ewers RM, Bartlam S, Didham RK, 2013, Altered species interactions at forest edges: contrasting edge effects on bumble bees and their phoretic mite loads in temperate forest remnants, INSECT CONSERVATION AND DIVERSITY, Vol: 6, Pages: 598-606, ISSN: 1752-458X

Journal article

Diaz S, Purvis A, Cornelissen JHC, Mace GM, Donoghue MJ, Ewers RM, Jordano P, Pearse WDet al., 2013, Functional traits, the phylogeny of function, and ecosystem service vulnerability, ECOLOGY AND EVOLUTION, Vol: 3, Pages: 2958-2975, ISSN: 2045-7758

Journal article

Lakeman-Fraser P, Ewers RM, 2013, Enemy release promotes range expansion in a host plant, OECOLOGIA, Vol: 172, Pages: 1203-1212, ISSN: 0029-8549

Journal article

Ewers RM, Banks-Leite C, 2013, Fragmentation Impairs the Microclimate Buffering Effect of Tropical Forests, PLOS ONE, Vol: 8, ISSN: 1932-6203

Journal article

Wearn OR, Reuman DC, Ewers RM, 2013, Response to Comment on "Extinction Debt and Windows of Conservation Opportunity in the Brazilian Amazon", SCIENCE, Vol: 339, ISSN: 0036-8075

Journal article

Fuller L, Johns PM, Ewers RM, 2013, Assessment of protected area coverage of threatened ground beetles (Coleoptera: Carabidae): a new analysis for New Zealand, NEW ZEALAND JOURNAL OF ECOLOGY, Vol: 37, Pages: 184-192, ISSN: 0110-6465

Journal article

Marsh CJ, Ewers RM, 2013, A fractal-based sampling design for ecological surveys quantifying beta-diversity, METHODS IN ECOLOGY AND EVOLUTION, Vol: 4, Pages: 63-72, ISSN: 2041-210X

Journal article

Marsh CJ, Louzada J, Beiroz W, Ewers RMet al., 2013, Optimising bait for pitfall trapping of Amazonian dung beetles (Coleoptera: Scarabaeinae)., PLoS One, Vol: 8

The accurate sampling of communities is vital to any investigation of ecological processes and biodiversity. Dung beetles have emerged as a widely used focal taxon in environmental studies and can be sampled quickly and inexpensively using baited pitfalls. Although there is now a wealth of available data on dung beetle communities from around the world, there is a lack of standardisation between sampling protocols for accurately sampling dung beetle communities. In particular, bait choice is often led by the idiosyncrasies of the researcher, logistic problems and the dung sources available, which leads to difficulties for inter-study comparisons. In general, human dung is the preferred choice, however, it is often in short supply, which can severely limit sampling effort. By contrast, pigs may produce up to 20 times the volume. We tested the ability of human and pig dung to attract a primary forest dung beetle assemblage, as well as three mixes of the two baits in different proportions. Analyses focussed on the comparability of sampling with pig or human-pig dung mixes with studies that have sampled using human dung. There were no significant differences between richness and abundance sampled by each bait. The assemblages sampled were remarkably consistent across baits, and ordination analyses showed that the assemblages sampled by mixed dung baits were not significantly different from that captured by pure human dung, with the assemblages sampled by 10% and 90% pig mixes structurally most similar to assemblages sampled by human dung. We suggest that a 10:90 human:pig ratio, or similar, is an ideal compromise between sampling efficiency, inter-study comparability and the availability of large quantities of bait for sampling Amazonian dung beetles. Assessing the comparability of assemblage samples collected using different baits represents an important step to facilitating large-scale meta-analyses of dung beetle assemblages collected using non-standard methodology.

Journal article

ROSA IMD, SOUZA C, EWERS RM, 2012, Changes in Size of Deforested Patches in the Brazilian Amazon, Conservation Biology, Vol: 26, Pages: 932-937, ISSN: 1523-1739

Journal article

Didham RK, Ewers RM, 2012, Predicting the impacts of edge effects in fragmented habitats: Laurance and Yensen's core area model revisited, BIOLOGICAL CONSERVATION, Vol: 155, Pages: 104-110, ISSN: 0006-3207

Journal article

Lira PK, Tambosi LR, Ewers RM, Metzger JPet al., 2012, Land-use and land-cover change in Atlantic Forest landscapes, FOREST ECOLOGY AND MANAGEMENT, Vol: 278, Pages: 80-89, ISSN: 0378-1127

Journal article

Tscharntke T, Tylianakis JM, Rand TA, Didham RK, Fahrig L, Peter B, Bengtsson J, Clough Y, Crist TO, Dormann CF, Ewers RM, Fruend J, Holt RD, Holzschuh A, Klein AM, Kleijn D, Kremen C, Landis DA, Laurance W, Lindenmayer D, Scherber C, Sodhi N, Steffan-Dewenter I, Thies C, van der Putten WH, Westphal Cet al., 2012, Landscape moderation of biodiversity patterns and processes - eight hypotheses, BIOLOGICAL REVIEWS, Vol: 87, Pages: 661-685, ISSN: 1464-7931

Journal article

Wearn OR, Reuman DC, Ewers RM, 2012, Extinction Debt and Windows of Conservation Opportunity in the Brazilian Amazon, SCIENCE, Vol: 337, Pages: 228-232, ISSN: 0036-8075

Journal article

Ahmed SE, Ewers RM, 2012, Spatial Pattern of Standing Timber Value across the Brazilian Amazon, PLOS ONE, Vol: 7, ISSN: 1932-6203

Journal article

Didham RK, Blakely TJ, Ewers RM, Hitchings TR, Ward JB, Winterbourn MJet al., 2012, Horizontal and vertical structuring in the dispersal of adult aquatic insects in a fragmented landscape, FUNDAMENTAL AND APPLIED LIMNOLOGY, Vol: 180, Pages: 27-40, ISSN: 1863-9135

Journal article

Didham RK, Kapos V, Ewers RM, 2012, Rethinking the conceptual foundations of habitat fragmentation research, OIKOS, Vol: 121, Pages: 161-170, ISSN: 0030-1299

Journal article

Staples C, Ahmed S, Ewers RM, 2012, Sensitivity of GIS patterns to data resolution: a case study of forest fragmentation in New Zealand, NEW ZEALAND JOURNAL OF ECOLOGY, Vol: 36, Pages: 203-209, ISSN: 0110-6465

Journal article

Banks-Leite C, Ewers RM, Metzger JP, 2012, Unravelling the drivers of community dissimilarity and species extinction in fragmented landscapes, ECOLOGY, Vol: 93, Pages: 2560-2569

Journal article

Lira PK, Ewers RM, Banks-Leite C, Pardini R, Metzger JPet al., 2012, Evaluating the legacy of landscape history: extinction debt and species credit in bird and small mammal assemblages in the Brazilian Atlantic Forest, Journal of Applied Ecology, Pages: 1325-1333

Journal article

Banks-Leite C, Ewers RM, Pimentel RG, Metzger JPet al., 2012, Decisions on Temporal Sampling Protocol Influence the Detection of EcologicalPatterns, Biotropica, Vol: 44, Pages: 378-385

Journal article

Campbell RE, Harding JS, Ewers RM, Thorpe S, Didham RKet al., 2011, Production land use alters edge response functions in remnant forest invertebrate communities, ECOLOGICAL APPLICATIONS, Vol: 21, Pages: 3147-3161, ISSN: 1051-0761

Journal article

Ewers RM, Didham RK, Fahrig L, Ferraz G, Hector A, Holt RD, Kapos V, Reynolds G, Sinun W, Snaddon JL, Turner ECet al., 2011, A large-scale forest fragmentation experiment: the Stability of Altered Forest Ecosystems Project, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, Vol: 366, Pages: 3292-3302, ISSN: 0962-8436

Journal article

Banks-Leite C, Ewers RM, Kapos V, Martensen AC, Metzger JPet al., 2011, Comparing species and measures of landscape structure as indicators of conservation importance, JOURNAL OF APPLIED ECOLOGY, Vol: 48, Pages: 706-714, ISSN: 0021-8901

Journal article

Barlow J, Ewers RM, Anderson L, Aragao LEOC, Baker TR, Boyd E, Feldpausch TR, Gloor E, Hall A, Malhi Y, Milliken W, Mulligan M, Parry L, Pennington T, Peres CA, Phillips OL, Roman-Cuesta RM, Tobias JA, Gardner TAet al., 2011, Using learning networks to understand complex systems: a case study of biological, geophysical and social research in the Amazon, BIOLOGICAL REVIEWS, Vol: 86, Pages: 457-474, ISSN: 1464-7931

Journal article

Turner EC, Snaddon JL, Ewers RM, Fayle TM, Foster WAet al., 2011, The impact of oil palm expansion on environmental change: putting conservation research into context, Environmental Impact of Biofuels

Book chapter

Ewers RM, Marsh CJ, Wearn OR, 2010, Making statistics biologically relevant in fragmented landscapes, TRENDS IN ECOLOGY & EVOLUTION, Vol: 25, Pages: 699-704, ISSN: 0169-5347

Journal article

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