Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark
[Display omitted] •A multi-sphere assessment of ecosystem service provision.•Application of the multi-criteria decision analysis approach for land use changes.•Illustration of impacts and trade-offs between ecosystem services across Denmark. Close to 60 per cent of the Danish land area is used for a...
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Published in | Ecological indicators Vol. 103; pp. 34 - 42 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.08.2019
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Abstract | [Display omitted]
•A multi-sphere assessment of ecosystem service provision.•Application of the multi-criteria decision analysis approach for land use changes.•Illustration of impacts and trade-offs between ecosystem services across Denmark.
Close to 60 per cent of the Danish land area is used for arable farming. EU regulations as well as public preferences create increasing pressures for changing agricultural land use in a more environmentally sustainable direction incorporating the multiple ecosystem services affected by agriculture. In this paper we present a spatially explicit multi-criteria decision analysis model which describes the trade-offs between the rent obtained from land in agricultural use on the one hand and selected ecosystem services on the other. The model is based on an extensive geographical dataset. This include maps on soil types, carbon content, sensitivity to nutrient losses, High Nature Value scores etc., which in combination with environmental criteria facilitates the ranking of all agricultural fields in Denmark according to their current overall worth to society in terms of land rent as well as other ecosystem services. Picking from a ranked list, we identify areas that may be considered efficient candidates for land use change considerations. Subsequently, the model is applied to identify suitable candidate areas for land use change in scenarios attaching different weights to various environmental services. In this way, four scenarios for Danish agricultural land use in 2050 are analysed. The results highlight that the possible realization of each of these mutually exclusive scenarios will require decision makers to consider very different development paths and land use changes for the Danish agricultural area. |
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AbstractList | [Display omitted]
•A multi-sphere assessment of ecosystem service provision.•Application of the multi-criteria decision analysis approach for land use changes.•Illustration of impacts and trade-offs between ecosystem services across Denmark.
Close to 60 per cent of the Danish land area is used for arable farming. EU regulations as well as public preferences create increasing pressures for changing agricultural land use in a more environmentally sustainable direction incorporating the multiple ecosystem services affected by agriculture. In this paper we present a spatially explicit multi-criteria decision analysis model which describes the trade-offs between the rent obtained from land in agricultural use on the one hand and selected ecosystem services on the other. The model is based on an extensive geographical dataset. This include maps on soil types, carbon content, sensitivity to nutrient losses, High Nature Value scores etc., which in combination with environmental criteria facilitates the ranking of all agricultural fields in Denmark according to their current overall worth to society in terms of land rent as well as other ecosystem services. Picking from a ranked list, we identify areas that may be considered efficient candidates for land use change considerations. Subsequently, the model is applied to identify suitable candidate areas for land use change in scenarios attaching different weights to various environmental services. In this way, four scenarios for Danish agricultural land use in 2050 are analysed. The results highlight that the possible realization of each of these mutually exclusive scenarios will require decision makers to consider very different development paths and land use changes for the Danish agricultural area. |
Author | Ege, Christian Dubgaard, Alex Vogdrup-Schmidt, Mathias Kristensen, Inge Toft Normander, Bo Olsen, Søren Bøye Dalgaard, Tommy Jørgensen, Leif Bach |
Author_xml | – sequence: 1 givenname: Mathias surname: Vogdrup-Schmidt fullname: Vogdrup-Schmidt, Mathias email: mvs@ifro.ku.dk organization: Department of Food and Resource Economics and Center for Macroecology, Evolution and Climate, University of Copenhagen, Rolighedsvej 23, 1958 Copenhagen, Denmark – sequence: 2 givenname: Søren Bøye surname: Olsen fullname: Olsen, Søren Bøye organization: Department of Food and Resource Economics and Center for Macroecology, Evolution and Climate, University of Copenhagen, Rolighedsvej 23, 1958 Copenhagen, Denmark – sequence: 3 givenname: Alex surname: Dubgaard fullname: Dubgaard, Alex organization: Department of Food and Resource Economics and Center for Macroecology, Evolution and Climate, University of Copenhagen, Rolighedsvej 23, 1958 Copenhagen, Denmark – sequence: 4 givenname: Inge Toft surname: Kristensen fullname: Kristensen, Inge Toft organization: Department of Agroecology – Agricultural Systems and Sustainability, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark – sequence: 5 givenname: Leif Bach surname: Jørgensen fullname: Jørgensen, Leif Bach organization: The Ecological Council, Kompagnistræde 22, 3. sal, 1208 Copenhagen, Denmark – sequence: 6 givenname: Bo surname: Normander fullname: Normander, Bo organization: The Ecological Council, Kompagnistræde 22, 3. sal, 1208 Copenhagen, Denmark – sequence: 7 givenname: Christian surname: Ege fullname: Ege, Christian organization: The Ecological Council, Kompagnistræde 22, 3. sal, 1208 Copenhagen, Denmark – sequence: 8 givenname: Tommy orcidid: 0000-0001-8020-0034 surname: Dalgaard fullname: Dalgaard, Tommy organization: Department of Agroecology – Agricultural Systems and Sustainability, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark |
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Manage. doi: 10.1080/09640568.2011.646964 contributor: fullname: Feizizadeh – year: 2013 ident: 10.1016/j.ecolind.2019.03.056_b0120 contributor: fullname: University of Twente – start-page: 392 year: 1999 ident: 10.1016/j.ecolind.2019.03.056_b0065 contributor: fullname: Malczewski – year: 1997 ident: 10.1016/j.ecolind.2019.03.056_b0005 contributor: fullname: Bogetoft – year: 2012 ident: 10.1016/j.ecolind.2019.03.056_b0050 contributor: fullname: Kristensen – year: 2012 ident: 10.1016/j.ecolind.2019.03.056_b0020 contributor: fullname: ESRI – volume: 11 start-page: 329 issue: 2 year: 2009 ident: 10.1016/j.ecolind.2019.03.056_b0055 article-title: Multicriteria decision-making for efficient water and land resources allocation in irrigated agriculture publication-title: Environ. Dev. 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Title | Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark |
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