Publications by authors named "J C Clevers"

Article Synopsis
  • The ESA's Sentinel-2A mission is helping to study dynamic vegetation by providing data that can be analyzed alongside NASA's Landsat missions to predict biophysical parameters like Leaf Area Index (LAI).
  • Researchers created hybrid retrieval workflows that use machine learning and radiative transfer models to enhance the accuracy of LAI predictions, focusing on five different workflow features over a year at a Dutch beech forest.
  • Results showed that adding noise to the training data significantly improved prediction accuracy, while the choice of machine learning regression algorithm also notably influenced the performance of the models used to estimate LAI.
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In order to legally conduct clinical research into new cancer treatments with medicinal products based on genetically modified organisms (GMOs) and treat cancer patients with these products, Dutch hospitals must obtain an environmental permit from the Minister of Infrastructure & Water Management. In the Netherlands, permit applications are assessed more strictly than in other EU member states, even if the products do not pose any real risk to the population and the environment. As a result, Dutch patients have to wait longer before the clinical trial or therapy with these GMO products can commence.

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Forests play a crucial role in the global carbon (C) cycle by storing and sequestering a substantial amount of C in the terrestrial biosphere. Due to temporal dynamics in climate and vegetation activity, there are significant regional variations in carbon dioxide (CO2) fluxes between the biosphere and atmosphere in forests that are affecting the global C cycle. Current forest CO2 flux dynamics are controlled by instantaneous climate, soil, and vegetation conditions, which carry legacy effects from disturbances and extreme climate events.

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In a sewage irrigation area of northwest China, 52 topsoil samples were collected to measure the contents of arsenic (As), chromium (Cr), copper (Cu), mercury (Hg), manganese (Mn), nickel (Ni), lead (Pb) and zinc (Zn). To identify their sources, multivariate statistics and geostatistics were applied to separate pedogenic elements (As and Mn) from anthropogenic elements (Cr, Cu, Hg, Ni, Pb and Zn). The accumulation of soil Hg was mainly attributed to long-term sewage irrigation, whereas Cr, Ni and Zn were mainly from industrial activities and dust deposition.

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Legacy effects of land cover/use on carbon fluxes require considering both present and past land cover/use change dynamics. To assess past land use dynamics, model-based reconstructions of historic land cover/use are needed. Most historic reconstructions consider only the net area difference between two time steps (net changes) instead of accounting for all area gains and losses (gross changes).

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