Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark

Research output: Contribution to journalJournal articlepeer-review

Standard

Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark. / Vogdrup-Schmidt, Mathias; Olsen, Søren Bøye; Dubgaard, Alex; Kristensen, Inge Toft; Jørgensen, Leif Bach; Normander, Bo; Ege, Christian; Dalgaard, Tommy.

In: Ecological Indicators, Vol. 103, 2019, p. 34-42.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Vogdrup-Schmidt, M, Olsen, SB, Dubgaard, A, Kristensen, IT, Jørgensen, LB, Normander, B, Ege, C & Dalgaard, T 2019, 'Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark', Ecological Indicators, vol. 103, pp. 34-42. https://doi.org/10.1016/j.ecolind.2019.03.056

APA

Vogdrup-Schmidt, M., Olsen, S. B., Dubgaard, A., Kristensen, I. T., Jørgensen, L. B., Normander, B., Ege, C., & Dalgaard, T. (2019). Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark. Ecological Indicators, 103, 34-42. https://doi.org/10.1016/j.ecolind.2019.03.056

Vancouver

Vogdrup-Schmidt M, Olsen SB, Dubgaard A, Kristensen IT, Jørgensen LB, Normander B et al. Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark. Ecological Indicators. 2019;103:34-42. https://doi.org/10.1016/j.ecolind.2019.03.056

Author

Vogdrup-Schmidt, Mathias ; Olsen, Søren Bøye ; Dubgaard, Alex ; Kristensen, Inge Toft ; Jørgensen, Leif Bach ; Normander, Bo ; Ege, Christian ; Dalgaard, Tommy. / Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark. In: Ecological Indicators. 2019 ; Vol. 103. pp. 34-42.

Bibtex

@article{be5f3b154bda4a259d5ed2d1249abb6b,
title = "Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark",
abstract = "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.",
keywords = "Agriculture, Ecosystem services, Land use change, Spatial multi-criteria decision analysis, Trade-offs",
author = "Mathias Vogdrup-Schmidt and Olsen, {S{\o}ren B{\o}ye} and Alex Dubgaard and Kristensen, {Inge Toft} and J{\o}rgensen, {Leif Bach} and Bo Normander and Christian Ege and Tommy Dalgaard",
year = "2019",
doi = "10.1016/j.ecolind.2019.03.056",
language = "English",
volume = "103",
pages = "34--42",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark

AU - Vogdrup-Schmidt, Mathias

AU - Olsen, Søren Bøye

AU - Dubgaard, Alex

AU - Kristensen, Inge Toft

AU - Jørgensen, Leif Bach

AU - Normander, Bo

AU - Ege, Christian

AU - Dalgaard, Tommy

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Agriculture

KW - Ecosystem services

KW - Land use change

KW - Spatial multi-criteria decision analysis

KW - Trade-offs

U2 - 10.1016/j.ecolind.2019.03.056

DO - 10.1016/j.ecolind.2019.03.056

M3 - Journal article

AN - SCOPUS:85063742077

VL - 103

SP - 34

EP - 42

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

ER -

ID: 228409221