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Data · dataset · 2026

A Web-Based Dashboard for Estimating the Economic and Ecological Impacts of Land Use Class Changes for Key Land Patches [* Cross-Reference *]

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The increasing pressure on land coming from the raising needs of a fast-growing population puts public and private landowners and decision makers in front of difficult choices concerning the best use of limited land resources.

Description

On one hand, agricultural land and grassland need to be used to support human food requirements. On the other hand, these land uses create trade-offs with other ecosystem functions, assets and services, such as ecological connectivity, biodiversity and natural habitat maintenance.

In this paper a prototype web-based dashboard is presented, that aims at allowing a fully-fledged calculation of the economic and environmental trade-offs between different land uses of any land patch (excluding urban areas and infrastructures) and in the Grand Duchy of Luxembourg. An agent-based model (ABM) coupled with life-cycle assessment (LCA) runs on the background of the dashboard. The coupled model allows the simulation of the farm business and the calculation of the revenues made by farmers in every land patch under different farm management scenarios.

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Crossing the information coming from the model with other tools would also allow to integrate local environmental trade-offs, such as degradation of local habitats or ecological connectivity, and not only global ones defined in a non-spatialized way. The dashboard has a potentially high value to inform policy, strategies, or specific actions (e.g., environmental stewardship programs that integrate economic convenience as a condition) and has the necessary flexibility to integrate new aspects related to territorial analyses as they become available. ***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts.

Please refer to doi.org/10.1007/978-3-031-10545-6_20 for the original and latest version of the dataset and data downloads***

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Simulation 75%
Provenance · 1 source records, 9 field assertions
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