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Thomas Hickler

Researcher at Goethe University Frankfurt

Publications -  230
Citations -  21394

Thomas Hickler is an academic researcher from Goethe University Frankfurt. The author has contributed to research in topics: Climate change & Vegetation. The author has an hindex of 64, co-authored 218 publications receiving 17490 citations. Previous affiliations of Thomas Hickler include Lund University & American Museum of Natural History.

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CO2 inhibition of global terrestrial isoprene emissions: Potential implications for atmospheric chemistry

TL;DR: In this article, it was shown that the inhibition of leaf isoprene emissions by increasing atmospheric CO2 concentration is accounted for in a process-based model, which may play a small role in determining pre-industrial tropospheric ozone concentration and glacial-interglacial methane trends.
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Changes in European ecosystem productivity and carbon balance driven by regional climate model output

TL;DR: In this article, the LPJ-GUESS ecosystem model was used to estimate climate impacts on carbon cycling across Europe, and the authors identified similarities and discrepancies in simulated climate impacts across scenarios, particularly analyzing the uncertainties arising from the range of climate models and emissions scenarios considered.
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Mapping local and global variability in plant trait distributions

Ethan E. Butler, +54 more
TL;DR: Using the largest global plant trait database and state of the art Bayesian modeling, fine-grained global maps of plant trait distributions that can be applied to Earth system models are created and reveal that the most diverse grid cells possess trait variability close to the range of global PFT means.
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Connecting dynamic vegetation models to data – an inverse perspective

TL;DR: It is explained how Bayesian methods allow direct estimates of parameters and processes, encoded in prior distributions, to be combined with inverse estimates, encodedin likelihood functions, in order to bridge the gap in parameterization of dynamic vegetation models.