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Kamil Král

Researcher at Czech University of Life Sciences Prague

Publications -  42
Citations -  2663

Kamil Král is an academic researcher from Czech University of Life Sciences Prague. The author has contributed to research in topics: Fagus sylvatica & Forest dynamics. The author has an hindex of 23, co-authored 42 publications receiving 1924 citations.

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CTFS-ForestGEO: A worldwide network monitoring forests in an era of global change

Kristina J. Anderson-Teixeira, +119 more
TL;DR: The broad suite of measurements made at CTFS-ForestGEO sites makes it possible to investigate the complex ways in which global change is impacting forest dynamics, and continued monitoring will provide vital contributions to understanding worldwide forest diversity and dynamics in an era of global change.
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Global importance of large‐diameter trees

James A. Lutz, +98 more
TL;DR: Because large-diameter trees constitute roughly half of the mature forest biomass worldwide, their dynamics and sensitivities to environmental change represent potentially large controls on global forest carbon cycling.
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BioTIME: A database of biodiversity time series for the Anthropocene

Maria Dornelas, +286 more
TL;DR: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time to enable users to calculate temporal trends in biodiversity within and amongst assemblage using a broad range of metrics.
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Plant diversity increases with the strength of negative density dependence at the global scale.

Joseph A. LaManna, +55 more
- 30 Jun 2017 - 
TL;DR: Global patterns in tree species diversity reflect not only stronger CNDD at tropical versus temperate latitudes but also a latitudinal shift in the relationship between CNDd and species abundance.
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3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR.

TL;DR: Comparison with field data measurements showed no significant difference in measuring DBH or tree height using 3D Forest, although for DBH only the Randomized Hough Transform algorithm proved to be sufficiently resistant to noise and provided results comparable to traditional field measurements.