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Willem Bouten

Researcher at University of Amsterdam

Publications -  212
Citations -  11111

Willem Bouten is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Soil water & Population. The author has an hindex of 52, co-authored 205 publications receiving 9891 citations. Previous affiliations of Willem Bouten include Wageningen University and Research Centre.

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Towards reduced uncertainty in catchment nitrogen modelling: quantifying the effect of field observation uncertainty on model calibration

TL;DR: In this paper, a virtual catchment was designed by running INCA with a known set of parameters, and field "measurements" were selected from the model run output, using these measurements and the shuffled complex evolution metropolis algorithm (SCEM-UA), four of the INCA model parameters describing N transformations in the soil were optimized, while the measurement uncertainty was increased in subsequent steps.
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Optimizing acceleration-based ethograms: the use of variable-time versus fixed-time segmentation

TL;DR: Acceleration-based behavioural classification can be optimized using a variable-time segmentation approach and enables behaviour, including motion, to be set in known spatial contexts, and the measurement of behavioural time-budgets of free-living birds with unprecedented coverage and precision.
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Assessing mineralization rates of petroleum hydrocarbons in soils in relation to environmental factors and experimental scale

TL;DR: In this paper, the relevance of environmental factors that may influence the mineralization rate of non-volatile petroleum hydrocarbons (HCs) in five different oil-contaminated soils with initial HC contents ranging from 0.1 to 13 g kg-1 are estimated as a function of environmental factor.
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Probing the limits of predictability: data assimilation of chaotic dynamics in complex food webs.

TL;DR: This work explores data assimilation (DA) with the Ensemble Kalman filter to fuse a two-predator-two-prey model with abundance data from a 2600+ day experiment of a plankton community, and demonstrates that DA enhances the predictability and forecast horizon of complex community dynamics.
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GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast

TL;DR: A species occurrence dataset published by the Research Institute for Nature and Forest (INBO), which contains close to 2.5 million occurrences, recorded by 101 GPS trackers mounted on 75 Lesser Black-backed Gulls and 26 Herring GullS breeding at the Belgian and Dutch coast.