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

doi:10.1016/j.ecolind.2019.03.056

Cited by 18 publications

(6 citation statements)

References 11 publications

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“…Wise et al (2014) shared this perspective by implying that the expansion of biofuels potentially causes a rise in net cumulative carbon emissions for the first couple of decades as a result of the alterations in the induced land use. Similarly, Koga et al (2020) and Vogdrup‐Schmid et al (2019) both illustrated the trend of carbon loss is significantly associated with the purpose for land conversion.…”

Section: Summary Of Related Studiesmentioning

confidence: 89%

Investigating the carbon emission aspects of agricultural land utilization in Turkey

Kara

Bas

Talu

et al. 2021

Integr Envir Assess & Manag

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As a pathway to environmental sustainability, several approaches to sustainable agriculture practices have consistently been echoed through international government agencies such as the Sustainable Development Goals of the United Nations Development Programme. Given this perspective, this study examines the carbon emission effects of the categories of agricultural land utilization (this includes arable land, permanent cropland, meadows land, and forest land) for Turkey over the period 1988–2019. The study further explores the dimension of carbon dioxide (CO2) emission from agricultural land use for sown crops, fruits and beverages, vineyards, and olives, in addition to the effect of economic expansion. By employing the autoregressive distributed lag empirical approach, the study finds that the use of agricultural land for arable farming and permanent plantation helps to reduce carbon emissions, especially in the long‐run, while the impact of meadows is also desirable only in the short‐run. Consequently, the study further shows that the use of farmland for fruits and beverages, and vineyard mitigates carbon emission, especially in the long‐run. Whereas the use of farmland for olives plantation and fallow exhibits a significant contribution of carbon emission, especially in the short‐run with elasticities of 0.91 and 1.48 respectively. Moreover, economic expansion in Turkey causes significant harm to environmental quality in the long‐run thereby truncating its short‐run desirable environmental effect. In order to sustain the largely efficient agricultural practice in Turkey, the study offers two policy dimensions to the government and the country's stakeholders in the agricultural sector. Integr Environ Assess Manag 2022;18:988–996. © 2021 SETAC

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Section: Summary Of Related Studiesmentioning

confidence: 89%

Investigating the carbon emission aspects of agricultural land utilization in Turkey

Kara

Bas

Talu

et al. 2021

Integr Envir Assess & Manag

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“…Second, the public space related to neighborhood interests and mentality is insurmountable, and the bottom line of grass-roots social life and neighborhood relations must be maintained. ird, the reconstruction of community governance community in rural revitalization must start with neighborhood relations [22]. Ghauami proposed to use CBR to monitor the felling of trees in Amazon.…”

Section: Related Workmentioning

confidence: 99%

Spatial Layout Analysis of Urban and Rural Buildings under Multicriteria Constraints

Kang

2022

Mathematical Problems in Engineering

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With the development of the times, the rational use of land has become the focus of social and economic development. In order to make more efficient use of land value, this study analyzes the spatial layout of urban and rural buildings under multicriteria constraints. From 2016 to 2021, the city showed a stable growth trend, and the growth rates of the three showed obvious correlation. In 2019, the average growth rate of machine learning algorithm is 46.6%, the average growth rate of decision tree algorithm is 48.2%, the average growth rate of cloud computing is 51.8%, and the average growth rate of this method is 52.5%. It can be seen that in these four ways, it is based on this reasonable land distribution system that has promoted the process of urban modernization. With the rapid economic growth, the scale of urban and rural construction land has expanded rapidly. Only when the experience and decision-making ideas of planning decision-makers are effectively applied to the process of land use spatial layout, a scientific land use spatial layout scheme can be obtained.

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“…The spatial model of the MCDA goes a step forward in multi-criteria decision making by integrating geographical details [8]. Spatial-MCDA is a combination of GIS data processing with MCDA decision capabilities [9]. GIS capability for data collection, preservation, processing, interpretation, and analysis and MCDM capabilities in translating spatial details and decision-making priorities into onedimensional values for alternate decisions is very useful in decision making involving spatial problems [10].…”

Section: Site Selection Of Micro-hydropower Station By Using Spatial-...mentioning

confidence: 99%

Potential Sites for Micro-Hydropower Station by using Spatial-MCDA

John

Naharudin

2022

IOP Conf. Ser.: Earth Environ. Sci.

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There are rural areas that still did not receive electricity supply these days. Therefore, an alternative is needed to supply electricity. One of the suitable power supply is the micro-hydropower which is a smaller scale of hydropower. It is suitable for area surrounded by river. It is also clean and green as it is a renewable resource. But, how to find the potential sites for the micro-hydropower station? This study highlighted three (3) criteria in finding the potential sites based on the literature and verified by experts which are slope, water velocity and accessibility. The potential sites can be determined by using Spatial-MCDA which combines Spatial Analysis and Multicriteria Decision Analysis (MCDA). MCDA used to weigh the criteria as they have different weightage in site selection. Spatial Analysis then used the weightage in finding the sites. To test the method, a small rural area in Sarawak, Malaysia which is Kanowit Song was chosen as it is yet to receive electricity supply though it is surrounded by small villages and small-scale vegetable plantation. The study found several potential areas that may be suitable for developing the micro-hydropower station which could supply electricity to area that did not receive one previously.

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

Cited by 18 publications

References 11 publications

Investigating the carbon emission aspects of agricultural land utilization in Turkey

Investigating the carbon emission aspects of agricultural land utilization in Turkey

Spatial Layout Analysis of Urban and Rural Buildings under Multicriteria Constraints

Potential Sites for Micro-Hydropower Station by using Spatial-MCDA

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