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Thibault Lachat

Researcher at Bern University of Applied Sciences

Publications -  57
Citations -  2142

Thibault Lachat is an academic researcher from Bern University of Applied Sciences. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 24, co-authored 49 publications receiving 1565 citations. Previous affiliations of Thibault Lachat include Swiss Federal Institute for Forest, Snow and Landscape Research & University of Basel.

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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.
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Current near-to-nature forest management effects on functional trait composition of saproxylic beetles in beech forests.

TL;DR: To make current wood-production practices in beech forests throughout Europe more conservation oriented, it is recommended increasing the amount of dead wood to >20 m(3) /ha; not removing dead wood of large diameter and allowing more dead wood in advanced stages of decomposition to develop; and designating strict forest reserves that would serve as refuges for and sources of saproxylic habitat specialists.
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Tree related microhabitats in temperate and Mediterranean European forests: A hierarchical typology for inventory standardization

TL;DR: A definition and a typology of TreM types borne by living and dead standing trees in temperate and Mediterranean forests in Europe are proposed and provided the basis for compiling data and may help to improve the reliability of reporting and evaluation of the conservation value of forests.
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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.