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Rob S. E. W. Leuven

Researcher at Radboud University Nijmegen

Publications -  273
Citations -  6864

Rob S. E. W. Leuven is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Introduced species & Floodplain. The author has an hindex of 42, co-authored 261 publications receiving 5964 citations. Previous affiliations of Rob S. E. W. Leuven include The Catholic University of America & Katholieke Universiteit Leuven.

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The River Rhine: a global highway for dispersal of aquatic invasive species

TL;DR: In this paper, the authors investigated the invasion corridors for aquatic species to the river Rhine and identified six principal invasion corridors to the Rhine in the last two centuries, and the average number of invasions per decade shows a sharp increase from 1 to 13 species.
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Possibilities of visible–near-infrared spectroscopy for the assessment of soil contamination in river floodplains

TL;DR: In this article, a multivariate calibration procedure using partial least squares (PLS) regression was developed to establish a relationship between reflectance spectra in the visible-near-infrared (VNIR) region and spectrally active soil characteristics (organic matter and clay content) that are inter-correlated with concentration levels of Cd and Zn.
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Assessing the risks of aquatic species invasions via European inland waterways: from concepts to environmental indicators.

TL;DR: A conceptual risk assessment model for invasive alien species introductions via European inland waterways, with specific protocols that focus on the development of environmental indicators within the socioeconomic context of the driving forces–pressures–state–impact–response framework is developed.
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Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains.

TL;DR: The results corroborate the potential of hyperspectral remote sensing to contribute to the survey of elevated metal concentrations in floodplain soils under grassland using the spectral response of the vegetation as an indicator.
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The potential of field spectroscopy for the assessment of sediment properties in river floodplains

TL;DR: In this paper, the authors used partial least squares (PLS) regression to establish a relationship between soil reflectance spectra measured under field conditions and the organic matter and clay content of the soil.