Dirk Raes
Katholieke Universiteit Leuven
177Publications
28H-index
2,505Citations
Publications 177
Newest
Published on Feb 1, 2017in Agricultural Water Management 3.18
Timothy Foster5
Estimated H-index: 5
(University of Manchester),
Nicholas Brozović18
Estimated H-index: 18
(University of Nebraska–Lincoln)
+ 5 AuthorsTheodore C. Hsiao37
Estimated H-index: 37
(University of California, Davis)
Crop simulation models are valuable tools for quantifying crop yield response to water, and for devising strategies to improve agricultural water management. However, applicability of the majority of crop models is limited greatly by a failure to provide open-access to model source code. In this study, we present an open-source version of the FAO AquaCrop model, which simulates efficiently water-limited crop production across diverse environmental and agronomic conditions. Our model, called Aqua...
18 Citations Source Cite
Published on Mar 1, 2017
Joost Wellens1
Estimated H-index: 1
(University of Liège),
Dirk Raes28
Estimated H-index: 28
,
Bernard Tychon1
Estimated H-index: 1
(University of Liège)
1 Citations Source Cite
Published on Aug 1, 2017in Environmental Modelling and Software 4.18
Hanne Van Gaelen1
Estimated H-index: 1
(Katholieke Universiteit Leuven),
Eline Vanuytrecht13
Estimated H-index: 13
(Katholieke Universiteit Leuven)
+ 2 AuthorsDirk Raes28
Estimated H-index: 28
(Katholieke Universiteit Leuven)
Abstract While simple crop and hydrological models are limited with respect to the number and accuracy of the processes they incorporate, complex models have high demand for data. Due to the limitations of both categories of models, there is a need for new agro-hydrological models that simulate both crop productivity and water availability in agricultural catchments, with low data and calibration requirements. This study aimed at developing a widely applicable parsimonious agro-hydrological mode...
1 Citations Source Cite
Published on Mar 1, 2017in Global Change Biology 9.00
David H. Fleisher17
Estimated H-index: 17
(Agricultural Research Service),
Bruno Condori8
Estimated H-index: 8
(Agricultural Research Service)
+ 23 AuthorsA.C. Franke5
Estimated H-index: 5
(University of the Free State)
A potato crop multimodel assessment was conducted to quantify variation among models and evaluate responses to climate change. Nine modeling groups simulated agronomic and climatic responses at low-input (Chinoli, Bolivia and Gisozi, Burundi)- and high-input (Jyndevad, Denmark and Washington, United States) management sites. Two calibration stages were explored, partial (P1), where experimental dry matter data were not provided, and full (P2). The median model ensemble response outperformed any ...
28 Citations Source Cite
Published on Jun 1, 2017in Gcb Bioenergy 5.42
Joanna A. Horemans3
Estimated H-index: 3
(University of Antwerp),
Hanne Van Gaelen1
Estimated H-index: 1
(Katholieke Universiteit Leuven)
+ 2 AuthorsR. Ceulemans65
Estimated H-index: 65
(University of Antwerp)
We calibrated and evaluated the agricultural model AquaCrop for the simulation of water use and yield of a short rotation coppice (SRC) plantation with poplar (Populus) in East Flanders (Belgium) during the second and the third rotation (first two years only). Differences in crop development and growth during the course of the rotations were taken into account during the model calibration. Overall, the AquaCrop model showed good performance for the daily simulation of soil water content (R² of 0...
6 Citations Source Cite
Published on Aug 1, 2016in The Journal of Agricultural Science 1.19
H. Van Gaelen2
Estimated H-index: 2
(Katholieke Universiteit Leuven),
Nele Delbecque3
Estimated H-index: 3
(Katholieke Universiteit Leuven)
+ 2 AuthorsDirk Raes28
Estimated H-index: 28
(Katholieke Universiteit Leuven)
Weed infestation is a major yield-reducing factor that also decreases crop water productivity. Yet weeds are often neglected in crop productivity simulation studies, because existing empirical equations and mechanistic models are not widely applicable or have a high demand for input data and calibration. For that reason, AquaCrop, a widely applicable crop water productivity model, was expanded with a weed management module which requires only two easily obtainable input variables: (i) relative l...
3 Citations Source Cite
Published on Mar 1, 2016in Regional Environmental Change 2.87
Eline Vanuytrecht13
Estimated H-index: 13
(Katholieke Universiteit Leuven),
Dirk Raes28
Estimated H-index: 28
(Katholieke Universiteit Leuven),
Patrick Willems47
Estimated H-index: 47
(Katholieke Universiteit Leuven)
The impact of mid-century climatic changes on crop productivity of winter wheat, maize, potato and sugar beet was assessed for a temperate maritime climate in the Flemish Region, Belgium. Climatic projections of multiple regional and global climate models (RCMs from the EU-ENSEMBLES project and GCMs from the Coupled Model Intercomparison Project phase 3) were stochastically downscaled by the LARS-WG weather generator for use in the crop models AquaCrop and Sirius. Primarily positive effects on m...
12 Citations Source Cite
Published on Sep 1, 2015in The Journal of Agricultural Science 1.19
H. Van Gaelen2
Estimated H-index: 2
(Katholieke Universiteit Leuven),
Alemtsehay Tsegay5
Estimated H-index: 5
(Mekelle University)
+ 8 AuthorsJan Diels20
Estimated H-index: 20
(Katholieke Universiteit Leuven)
Most crop models make use of a nutrient-balance approach for modelling crop response to soil fertility. To counter the vast input data requirements that are typical of these models, the crop water productivity model AquaCrop adopts a semi-quantitative approach. Instead of providing nutrient levels, users of the model provide the soil fertility level as a model input. This level is expressed in terms of the expected impact on crop biomass production, which can be observed in the field or obtained...
7 Citations Source Cite
Published on Mar 1, 2015in Agricultural Water Management 3.18
Alemtsehay Tsegay5
Estimated H-index: 5
(Mekelle University),
Eline Vanuytrecht13
Estimated H-index: 13
(Katholieke Universiteit Leuven)
+ 3 AuthorsDirk Raes28
Estimated H-index: 28
(Katholieke Universiteit Leuven)
Field experiments conducted under rainfed agriculture for three consecutive years (2008–2010) revealed that water stress at the late season is the most limiting factor for the productivity of tef (Eragrostis tef (Zucc.) Trotter) in Tigray, Ethiopia. Early sowing and one irrigation application late in the growing season, were evaluated with the AquaCrop model as management strategies to improve productivity. Simulations were run for three dominant soil types, under different soil fertility levels...
10 Citations Source Cite
Published on Jan 1, 2014in Environmental Modelling and Software 4.18
Eline Vanuytrecht13
Estimated H-index: 13
(Katholieke Universiteit Leuven),
Dirk Raes28
Estimated H-index: 28
(Katholieke Universiteit Leuven),
Patrick Willems47
Estimated H-index: 47
(Katholieke Universiteit Leuven)
This study includes a global sensitivity analysis of the water productivity model AquaCrop. The study rationale consisted in a comprehensive evaluation of the model and the formulation of guidelines for model simplification and efficient calibration. The global analysis comprehended a Morris screening followed by a variance-based Extended Fourier Amplitude Sensitivity Test (EFAST) under diverse environmental conditions for maize, winter wheat and rice. The analysis involved twenty-two different ...
61 Citations Source Cite
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