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Victoria Kemp

Researcher at Queen Mary University of London

Publications -  17
Citations -  2945

Victoria Kemp is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 4, co-authored 12 publications receiving 2076 citations. Previous affiliations of Victoria Kemp include Imperial College London.

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The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Lawrence N. Hudson, +273 more
TL;DR: A new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world is described and assessed.
Journal ArticleDOI

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Lawrence N. Hudson, +573 more
TL;DR: The PREDICTS project as discussed by the authors provides a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use.

The 2016 release of the PREDICTS database

Lawrence N. Hudson, +513 more
TL;DR: A dataset of 3,250,404 measurements, collated from 26,114 sampling locations in 94 countries and representing 47,044 species, which was assembled as part of the PREDICTS project - Projecting Responses of Ecological Diversity In Changing Terrestrial Systems.
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Climate variability and aridity modulate the role of leaf shelters for arthropods: A global experiment

TL;DR: In this article , a distributed experiment comparing arthropods in leaf rolls versus control leaves across 52 sites along an 11,790 km latitudinal gradient was conducted to explore how the importance of leaf shelters for terrestrial arthropod changes with latitude, elevation, and climate, by comparing the relative impact of conditions during the experiment versus average, baseline conditions at the site.