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Peter Hammond

Researcher at University of Oxford

Publications -  118
Citations -  7930

Peter Hammond is an academic researcher from University of Oxford. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 37, co-authored 113 publications receiving 7302 citations. Previous affiliations of Peter Hammond include UCL Institute of Child Health & Natural History Museum.

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Biodiversity inventories, indicator taxa and effects of habitat modification in tropical forest

TL;DR: A gradient from near-primary, through old-growth secondary and plantation forests to complete clearance, for eight animal groups in the Mbalmayo Forest Reserve, south-central Cameroon is examined, indicating the huge scale of the biological effort required to provide inventories of tropical diversity, and to measure the impacts of tropical forest modification and clearance.
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A Comprehensive Phylogeny of Beetles Reveals the Evolutionary Origins of a Superradiation

TL;DR: The phylogeny of Coleoptera found that the success of beetles is explained neither by exceptional net diversification rates nor by a predominant role of herbivory and the Cretaceous rise of angiosperms, suggesting that beetle species richness is due to high survival of lineages and sustained diversification in a variety of niches.
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The British Nationality Act as a logic program

TL;DR: The formalization of legislation and the development of computer systems to assist with legal problem solving provide a rich domain for developing and testing artificial-intelligence technology.
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Beetle species responses to tropical forest fragmentation

TL;DR: In this article, the effects of forest fragmentation on beetle species composition were investigated in an experimentally fragmented tropical forest landscape in Central Amazonia, where leaf-litter beetles were sampled at seven distances from the forest edge (0-420 m) along forest edge-to-interior transects in two 100-ha forest fragments and two continuous forest edges.
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3D analysis of facial morphology

TL;DR: Dense surface models can be used to analyze 3D facial morphology by establishing a correspondence of thousands of points across each 3D face image and provide dramatic visualizations of face‐shape variation with potential for training physicians to recognize the key components of particular syndromes.