Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Assessing the climate regulation potential of Agricultural soils using a decision support tool adapted to stakeholders' needs and possibilities
Broek, Marijn Van de; Henriksen, Christian Bugge ; Ghaley, Bhim Bahadur ; Lugato, Emanuele ; Kuzmanovski, Vladimir ; Trajanov, Aneta ; Debeljak, Marko ; Sandén, Taru ; Spiegel, Heide ; Decock, Charlotte ; Creamer, Rachel ; Six, Johan - \ 2019
Frontiers in Environmental Science 7 (2019). - ISSN 2296-665X
Soils perform many functions that are vital to societies, among which their capability to regulate global climate has received much attention over the past decades. An assessment of the extent to which soils perform a specific function is not only important to appropriately value their current capacity, but also to make well-informed decisions about how and where to change soil management to align the delivered soil functions with societal demands. To obtain an overview of the capacity of soils to perform different functions, accurate and easy-to-use models are necessary. A problem with most currently-available models is that data requirements often exceed data availability, while generally a high level of expert knowledge is necessary to apply these models. Therefore, we developed a qualitative model to assess how agricultural soils function with respect to climate regulation. The model is driven by inputs about agricultural management practices, soil properties and environmental conditions. To reduce data requirements on stakeholders, the 17 input variables are classified into either (1) three classes: low, medium and high or (2) the presence or absence of a management practice. These inputs are combined using a decision tree with internal integration rules to obtain an estimate of the magnitude of N2O emissions and carbon sequestration. These two variables are subsequently combined into an estimate of the capacity of a soil to perform the climate regulation function. The model was tested using data from long-term field experiments across Europe. This showed that the model is generally able to adequately assess this soil function across a range of environments under different management practices. In a next step, this model will be combined with models to assess other soil functions (soil biodiversity, primary productivity, nutrient cycling and water regulation and purification). This will allow the assessment of trade-offs between these soil functions for agricultural land across Europe.
Modeling of Soil Functions for Assessing Soil Quality: Soil Biodiversity and Habitat Provisioning
Leeuwen, J.P. van; Creamer, Rachel ; Cluzeau, Daniel ; Debeljak, Marko ; Gatti, Fabio ; Henriksen, Christian Bugge ; Kuzmanovski, Vladimir ; Menta, Cristina ; Pérès, Guénola ; Picaud, Calypso ; Saby, N.P.A. ; Trajanov, Aneta ; Trinsoutrot-Gattin, Isabelle ; Visioli, Giovanna ; Rutgers, M. - \ 2019
Frontiers in Environmental Science 7 (2019). - ISSN 2296-665X - 13 p.
Soil biodiversity and habitat provisioning is one of the soil functions that agricultural land provides to society. This paper describes assessment of the soil biodiversity function (SB function) as a proof of concept to be used in a decision support tool for agricultural land management. The SB function is defined as “the multitude of soil organisms and processes, interacting in an ecosystem, providing society with a rich biodiversity source and contributing to a habitat for aboveground organisms.” So far, no single measure provides the full overview of the soil biodiversity and how a soil supports a habitat for a biodiverse ecosystem. We have assembled a set of attributes for a proxy-indicator system, based on four “integrated attributes”: (1) soil nutrient status, (2) soil biological status, (3) soil structure, and (4) soil hydrological status. These attributes provide information to be used in a model for assessing the capacity of a soil to supply the SB function. A multi-criteria decision model was developed which comprises of 34 attributes providing information to quantify the four integrated attributes and subsequently assess the SB function for grassland and for cropland separately. The model predictions (in terms of low—moderate—high soil biodiversity status) were compared with expert judgements for a collection of 137 grassland soils in the Netherlands and 52 French soils, 29 grasslands, and 23 croplands. For both datasets, the results show that the proposed model predictions were statistically significantly correlated with the expert judgements. A sensitivity analysis indicated that the soil nutrient status, defined by attributes such as pH and organic carbon content, was the most important integrated attribute in the assessment of the SB function. Further progress in the assessment of the SB function is needed. This can be achieved by better information regarding land use and farm management. In this way we may make a valuable step in our attempts to optimize the multiple soil functions in agricultural landscapes, and hence the multifaceted role of soils to deliver a bundle of ecosystem services for farmers and citizens, and support land management and policy toward a more sustainable society.
A Field-Scale Decision Support System for Assessment and Management of Soil Functions
Debeljak, Marko ; Trajanov, Aneta ; Kuzmanovski, Vladimir ; Schroder, J.J. ; Sandén, Taru ; Spiegel, Heide ; Wall, David ; Broek, Marijn van de; Rutgers, Michiel ; Bampa, Francesca ; Creamer, Rachel ; Henriksen, Christian Bugge - \ 2019
Frontiers in Environmental Science 7 (2019). - ISSN 2296-665X
Agricultural decision support systems (DSS) are mostly focused on increasing the supply of individual soil functions such as e.g. primary productivity or nutrient cycling, while neglecting other important soil functions, such as e.g. water purification and regulation, climate regulation and carbon sequestration, soil biodiversity and habitat provision. Making right management decisions for long-term sustainability is therefore challenging, and farmers and farm advisors would greatly benefit from an evidence-based DSS targeted for assessing and improving the supply of several soil functions simultaneously. To address this, need we designed the Soil Navigator DSS by applying a qualitative approach to multi criteria decision modelling using Decision Expert (DEX) integrative methodology. Multi-criteria decision models for the five main soil functions were developed, calibrated and validated using knowledge of involved domain experts and knowledge extracted from existing datasets by data mining. Subsequently, the five DEX models were integrated into a DSS to assess the soil functions simultaneously, and to provide management advises for improving the performance of prioritized soil functions. To enable communication between the users and the DSS, we developed a user-friendly computer-based graphical user interface, which enables users to provide the required data regarding their field to the DSS and to get textual and graphical results about the performance of each of the five soil functions in a qualitative way. The final output from the DSS is a list of soil mitigation measures that the end-users could easily apply in the field in order to achieve the desired soil function performance. The Soil Navigator DSS has a great potential to complement the Farm Sustainability Tools for Nutrients included in the Common Agricultural Policy 2021-2027 proposal adopted by the European Commission. The Soil Navigator has also a potential to be spatially upgraded to assist decisions on which soil functions to prioritize in a specific region or member state. Furthermore, the Soil Navigator DSS could be used as an educational tool for farmers, farm advisors and students, and its potential should be further exploited for the benefit of farmers and the society as a whole.
Harvesting European knowledge on soil functions and land management using multi-criteria decision analysis
Bampa, Francesca ; O'Sullivan, Lilian ; Madena, Kirsten ; Sandén, Taru ; Spiegel, Heide ; Henriksen, Christian Bugge ; Ghaley, Bhim Bahadur ; Jones, Arwyn ; Staes, Jan ; Sturel, Sylvain ; Trajanov, Aneta ; Creamer, Rachel E. ; Debeljak, Marko - \ 2019
Soil Use and Management 35 (2019)1. - ISSN 0266-0032 - p. 6 - 20.
DEX model - farmers and multi-stakeholders - locally relevant advice - participatory research - soil quality

Soil and its ecosystem functions play a societal role in securing sustainable food production while safeguarding natural resources. A functional land management framework has been proposed to optimize the agro-environmental outputs from the land and specifically the supply and demand of soil functions such as (a) primary productivity, (b) carbon sequestration, (c) water purification and regulation, (d) biodiversity and (e) nutrient cycling, for which soil knowledge is essential. From the outset, the LANDMARK multi-actor research project integrates harvested knowledge from local, national and European stakeholders to develop such guidelines, creating a sense of ownership, trust and reciprocity of the outcomes. About 470 stakeholders from five European countries participated in 32 structured workshops covering multiple land uses in six climatic zones. The harmonized results include stakeholders’ priorities and concerns, perceptions on soil quality and functions, implementation of tools, management techniques, indicators and monitoring, activities and policies, knowledge gaps and ideas. Multi-criteria decision analysis was used for data analysis. Two qualitative models were developed using Decision EXpert methodology to evaluate “knowledge” and “needs”. Soil quality perceptions differed across workshops, depending on the stakeholder level and regionally established terminologies. Stakeholders had good inherent knowledge about soil functioning, but several gaps were identified. In terms of critical requirements, stakeholders defined high technical, activity and policy needs in (a) financial incentives, (b) credible information on improving more sustainable management practices, (c) locally relevant advice, (d) farmers’ discussion groups, (e) training programmes, (f) funding for applied research and monitoring, and (g) strengthening soil science in education.

he North Pacific accumulation zone: ocean plastic concentrations and impacts
Reisser, J. ; Lebreton, Laurent ; Ferrari, F. ; Saint-Rose, B. ; Cunsolo, S. ; Proietti, M. ; Debeljak, P. ; Schoneich-Argent, R. ; Levivier, A. ; Flier, Boyan ; Koelmans, A.A. - \ 2016
Capacity development in food composition database management and nutritional research and education in Central and Eastern European, Middle Eastern and North African countries
Gurinovic, M. ; Witthöft, C. ; Tepsic, J. ; Ranic, M. ; Hulshof, P.J.M. ; Hollman, P.C.H. ; Porubska, J. ; Gohar, A. ; Debeljak-Martacic, J. ; Petrovic-Oggiano, G. ; Novakovic, R.N. ; Glibetic, M. ; Oshaug, A. - \ 2010
European Journal of Clinical Nutrition 64 (2010)S3. - ISSN 0954-3007 - p. S134 - S138.
eurofir
Background/Objectives: Capacity development (CD) in food and nutrition is much more than formal training and includes human resource development, and organisational, institutional and legal framework development with the aim of enhancing nutrition-relevant knowledge and skills to support infrastructural development. The goal of the European Food Information Resource (EuroFIR) Network of Excellence has been to develop and integrate food composition data throughout Europe. EuroFIR joined forces in CD with the United Nations (UN) University and UN System Standing Committee on Nutrition, the Network for Capacity Development in Nutrition in Central and Eastern Europe, the Central and Eastern European Countries Food Data Systems network and with the Middle East and North African Capacity Building Initiative. The aim of this paper is to discuss an inventory of the status of food composition databases (FCDBs) and the training needs of compilers in non-EuroFIR countries in Central and Eastern Europe (CEE) and in the Middle East and North Africa (MENA), and to present the CD achieved through EuroFIR and other network collaborations. Subjects/Methods: Two online questionnaires were created addressing the FCDB status and specific training needs in countries of the targeted regions. Data were collected during 2006-2008 and then analysed. Subsequently, CD activities were organised. Results: Contacts were established in 19 CEE and 7 MENA countries, of which several had national food composition tables, but no electronic versions. Education, training, workshops, networking and the sharing of experiences were uniformly requested. Subsequently, CD activities in EuroFIR were organised focussing on food composition courses, exchange visits, workshops and individual training for PhD students, junior scientists and other staff categories, as well as conferences linked to food composition research and food information. To facilitate CD activities, EuroFIR has signed a Memorandum of Understanding with the Czech Republic, Hungary, Slovenia, Croatia and Estonia. Conclusions: EuroFIR has created training activities that complement national activities. Collaboration with other networks has provided an overview of FCDB status and training needs, providing directions for CD activities in those countries. This provides a platform for new funding and further development and networking for CD, which would be conducive to European Commission objectives and public health strategies for CD. European Journal of Clinical Nutrition (2010) 64, S134-S138; doi:10.1038/ejcn.2010.224
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