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Considered as one of the main factors in erosion of the biodiversity, land take describes the global reduction in the proportion of land allocated to farming and forestry or to natural spaces. This work identifies the decisive economic and social factors in land take and its impact on the environment and agriculture. It suggests levers of action likely to limit its development and its negative effects.
Conservation of the environment --- land take --- biodiversity --- land take --- biodiversity
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Les changements d’occupation du sol ont des impacts importants sur la stabilité et le maintien des services écosystémiques. Pour cette raison, ce travail a pour objectif d’analyser les changements d’occupation du sol en Région wallonne et au Grand-Duché de Luxembourg et de prédire l’évolution de cette occupation à l’horizon 2100. L’occupation du sol est décrite par six classes formées à partir des données des cartes CORINE de 2000 à 2018. Les probabilités d’occurrence de chacune des classes sont calculées pour 2012 par régressions logistiques pas à pas, basées sur des facteurs topographiques, climatiques, pédologiques, socio-économiques et politiques. Cette calibration est effectuée à trois échelles spatiales distinctes (globale, nationale et régionale). Pour sélectionner le meilleur modèle, une validation est réalisée sur les prédictions pour 2018 selon les trois échelles. L’échelle spatiale la plus performante est l’échelle nationale. Celle-ci est donc utilisée pour prédire l’occupation du sol à l’horizon 2100 selon deux scénarios. Le premier, le scénario « business as usual », représente la continuité des changements entre 2012 et 2018. Le second scénario, « planification durable », prend en compte les mesures politiques de planification du sol, notamment pour atteindre la fin de l’artificialisation nette d’ici 2050. Changes in land cover have significant impacts on the stability and maintenance of ecosystem services. For this reason, this work aims to analyze land cover changes in the Walloon Region and the Grand Duchy of Luxembourg and to forecast the evolution of this land cover by 2100. Land cover is described by six classes derived from CORINE map data from 2000 to 2018. The probabilities of occurrence for each class are calculated for 2012 using stepwise logistic regressions based on topographical, climatic, pedological, socio-economic, and political factors. This calibration is performed at three distinct spatial scales (study-wide, national, and regional). To select the best model, validation is carried out on the predictions for 2018 according to the three scales. The most effective spatial scale is the national scale. This scale is therefore used to predict land cover by 2100 according to two scenarios. The first scenario, "business as usual", represents the continuation of changes between 2012 and 2018. The second scenario, "sustainable planning", considers political land cover planning measures, in particular those aimed at achieving an end to net artificialization by 2050.
Land cover --- Walloon Region --- Grand Duchy of Luxembourg --- CORINE --- Urban expansion --- Land take --- Logistic regression --- Occupation du sol --- Région wallonne --- Grand-Duché de Luxembourg --- CORINE --- Expansion urbaine --- Artificialisation --- Régression logistique --- Sciences du vivant > Sciences de l'environnement & écologie --- Physique, chimie, mathématiques & sciences de la terre > Sciences de la terre & géographie physique
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This reprint is related to land-use change and non-urban and urban relationships at all spatiotemporal scales and also focuses on land-use planning and regulatory strategies for a sustainable future. Spatiotemporal dynamics, socioeconomic implication, water supply problems and deforestation land degradation (e.g., increase of imperviousness surfaces) produced by urban expansion and their resource requirements are of particular interest. The Guest Editors expect that this reprint will contribute to sustainable development in non-urban and urban areas.
Research & information: general --- Geography --- land use/land cover change --- water recharge --- flooding --- meteorological forecast --- hydrological response --- IWRM --- best management practices --- watershed management --- experimental watershed study design --- municipal watershed --- adaptive management --- functional urban land --- urban space --- urban land use/cover change --- urbanization --- Changchun --- urban hydrology --- impervious surfaces --- land use scenarios --- urban surface growth --- hydrological model --- flood flows --- construction land development intensity --- construction land use benefit --- coupling and coordination relationship --- spatiotemporal evolution --- Lanzhou-Xining urban agglomeration --- land cover --- land use change --- downscaling approach --- Switzerland --- geographic information system --- aerial photo interpretation --- topographic map --- inverse distance weighting --- expert system --- village --- strategy --- development priorities --- land use --- land take --- urban agriculture --- land use planning --- zoning --- GI products --- integrated water resources management --- territory management --- future scenarios --- prospective analysis --- decision support system --- urban growth boundaries (UGBs) --- LULC change simulation --- multi-source big data --- SD model --- PLUS model --- county area --- Xinxing County
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