E.E. van Loon
University of Amsterdam
44 Papers
160 Citations
E.E. van Loon is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Ecosystem & Water content. The author has an hindex of 19, co-authored 44 publications. Previous affiliations of E.E. van Loon include Wageningen University and Research Centre.
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Papers
A probabilistic framework for representing and simulating uncertain environmental variables
TL;DR: A statistical framework for representing and simulating uncertain environmental variables, and a prototype software tool for assessing uncertainties in environmental data, storing them within a database, and for generating realizations for use in Monte Carlo studies is presented.
An operational model predicting autumn bird migration intensities for flight safety
TL;DR: A skimmer assembly for use in a well has a shielded float/filter assembly with a hydrophobic/oleophilic filter element, which permits selective passage of lighter than water liquids to the inlet of a pumping assembly.
Sexually distinct foraging strategies in an omnivorous seabird
TL;DR: It is found that different behavioural strategies (a combination of individual specialisation and sexual segregation) during breeding could reduce intra-specific resource competition, competition between the sexes (and hence within a pair), or alternatively, reduce the risk of unbalanced food provisioning.
Microbial dynamics and litter decomposition under a changed climate in a Dutch heathland
TL;DR: In this paper, the effect of a modest temperature increase and repeated summer droughts on the rate of litter decomposition and microbial biomass dynamics was studied by a field scale manipulation experiment at a phosphorus (P) deficient dry heathland ecosystem in the Netherlands.
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Prioritizing West African medicinal plants for conservation and sustainable extraction studies based on market surveys and species distribution models
T.R. van Andel,S. Croft,E.E. van Loon,Diana Quiroz,Diana Quiroz,Alexandra M. Towns,Niels Raes +6 more
TL;DR: In this article, the authors combine quantitative market surveys in Ghana and Benin with species distribution models (SDMs) to assess potential species' vulnerability to overharvesting and to prioritize areas for sustainable extraction studies.
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