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[Display omitted] • Landscape's hydric potential (LHP) could be used as indicator in water management. • LHP method refers to runoff reduction in ecosystems. • The LHP values are reflected in land cover changes. • Trends of flow discharges in rivers could be explained by LHP changes. This paper presents an approach for mitigating water-related problems, that relates the retention of precipitation and use of ecosystems, as a tool for improving the quality, quantity and availability of water resources throughout the region. One approach is the determination of the landscape's hydric potential (LHP). Land cover changes can influence ecosystems in different ways depending on crucial factors that depend on water resources. Thus-far, many studies describe the influence of land cover changes on individual features of catchments and hydrological regime, but few have made an attempt to analysis how changes in land cover can holistically influence processes in catchments. In this context the innovative aspect of this work presents the consequence of land cover changes on water retention expressed by LHP — a general descriptor that is linked with many composite influence factors on water retention. A study was carried out on 33 catchments located in central Europe. Results show increased forest cover having a positive trend in the context of LHP. Conversely, increased urban and industrial areas negatively impact LHP. The presented analysis reveals that a few land cover changes had direct and clearly positive effects on LHP. The LHP had decreased in 21 catchments and increased in 12 catchments. Decreased LHP was generally observed in catchments located on the left side of the Vistula basin where there are more advantageous conditions for agriculture, rising industry and urban areas. The study showed that during the analyzed period, obtained changes of LHP values did not strongly affect hydrological regimes in studied catchments. Our results show that LHP is a very good and useful descriptor that includes many characteristics of catchment and could be used for river catchment management purposes. The landscape's hydric potential can be used in any catchment in the world. [ABSTRACT FROM AUTHOR]

[Display omitted] • Land use changes could more affecting on water retention than climate changes. • The negative influence of climate change can be mitigated by landscape management. • Landscape hydric potential help to adapt to changes in land use and climate. • Machine learning help to predict future effects of land use/land cover. Are we losing water mostly due to climate change? This study delves into that question. The main innovation of this research lies in developing a methodology that forecasts future shifts in water resources through the use of nondimensional indicators, such as Landscape Hydric Potential (LHP), caused by climate change scenarios, land use and land cover (LULC) projections, and a combination of both factors. The LHP method draws upon a range of indicators that shape the geosphere at the catchment scale, namely: hydrogeological conditions, soil conditions, climatic conditions, geomorphological conditions, and LULC. The analysis was carried out for 33 catchments located in the Upper Vistula River Basin in East-Central Europe. The study was conducted in the following stages. First, LHP values were calculated for the present conditions. Subsequently, an analysis of anticipated changes in LULC and in climate were conducted for the near and far future. Lastly, simulations were performed to project how LHP might evolve, considering potential changes in climate and LULC over time. The results have shown that under current climatic conditions, mountainous catchments are characterized by higher LHP values than catchments located in highlands or plains. Agricultural areas are projected to experience the largest changes in LULC. Climatic water balance indicate minimal changes, irrespective of time horizon. Our studies conclude that changes in predicted LULC could have a more significant impact on LHP values than the projected climate change. [ABSTRACT FROM AUTHOR]