A Field-Scale Decision Support System for Assessment and Management of Soil Functions

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

A Field-Scale Decision Support System for Assessment and Management of Soil Functions. / Debeljak, Marko; Trajanov, Aneta; Kuzmanovski, Vladimir; Schröder, Jaap; Sandén, Taru; Spiegel, Heide; Wall, David P.; Van de Broek, Marijn; Rutgers, Michiel; Bampa, Francesca; Creamer, Rachel E.; Henriksen, Christian B.

I: Frontiers in Environmental Science, Bind 7, 115, 2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Debeljak, M, Trajanov, A, Kuzmanovski, V, Schröder, J, Sandén, T, Spiegel, H, Wall, DP, Van de Broek, M, Rutgers, M, Bampa, F, Creamer, RE & Henriksen, CB 2019, 'A Field-Scale Decision Support System for Assessment and Management of Soil Functions', Frontiers in Environmental Science, bind 7, 115. https://doi.org/10.3389/fenvs.2019.00115

APA

Debeljak, M., Trajanov, A., Kuzmanovski, V., Schröder, J., Sandén, T., Spiegel, H., ... Henriksen, C. B. (2019). A Field-Scale Decision Support System for Assessment and Management of Soil Functions. Frontiers in Environmental Science, 7, [115]. https://doi.org/10.3389/fenvs.2019.00115

Vancouver

Debeljak M, Trajanov A, Kuzmanovski V, Schröder J, Sandén T, Spiegel H o.a. A Field-Scale Decision Support System for Assessment and Management of Soil Functions. Frontiers in Environmental Science. 2019;7. 115. https://doi.org/10.3389/fenvs.2019.00115

Author

Debeljak, Marko ; Trajanov, Aneta ; Kuzmanovski, Vladimir ; Schröder, Jaap ; Sandén, Taru ; Spiegel, Heide ; Wall, David P. ; Van de Broek, Marijn ; Rutgers, Michiel ; Bampa, Francesca ; Creamer, Rachel E. ; Henriksen, Christian B. / A Field-Scale Decision Support System for Assessment and Management of Soil Functions. I: Frontiers in Environmental Science. 2019 ; Bind 7.

Bibtex

@article{ab7a9ece6f3a4508b9dcc1a992330807,
title = "A Field-Scale Decision Support System for Assessment and Management of Soil Functions",
abstract = "Agricultural decision support systems (DSSs) 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 modeling 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 advices 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.",
keywords = "decision support system, field scale, method DEX, multi-criteria decision models, soil functions, soil management",
author = "Marko Debeljak and Aneta Trajanov and Vladimir Kuzmanovski and Jaap Schr{\"o}der and Taru Sand{\'e}n and Heide Spiegel and Wall, {David P.} and {Van de Broek}, Marijn and Michiel Rutgers and Francesca Bampa and Creamer, {Rachel E.} and Henriksen, {Christian B.}",
year = "2019",
doi = "10.3389/fenvs.2019.00115",
language = "English",
volume = "7",
journal = "Frontiers in Environmental Science",
issn = "2296-665X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - A Field-Scale Decision Support System for Assessment and Management of Soil Functions

AU - Debeljak, Marko

AU - Trajanov, Aneta

AU - Kuzmanovski, Vladimir

AU - Schröder, Jaap

AU - Sandén, Taru

AU - Spiegel, Heide

AU - Wall, David P.

AU - Van de Broek, Marijn

AU - Rutgers, Michiel

AU - Bampa, Francesca

AU - Creamer, Rachel E.

AU - Henriksen, Christian B.

PY - 2019

Y1 - 2019

N2 - Agricultural decision support systems (DSSs) 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 modeling 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 advices 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.

AB - Agricultural decision support systems (DSSs) 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 modeling 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 advices 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.

KW - decision support system

KW - field scale

KW - method DEX

KW - multi-criteria decision models

KW - soil functions

KW - soil management

U2 - 10.3389/fenvs.2019.00115

DO - 10.3389/fenvs.2019.00115

M3 - Journal article

AN - SCOPUS:85072736079

VL - 7

JO - Frontiers in Environmental Science

JF - Frontiers in Environmental Science

SN - 2296-665X

M1 - 115

ER -

ID: 231468668