Changes in forest landscapes have been connected with human activity for centuries and can be considered one of the main driving forces of change from a global perspective. The spatial distribution of forests changes along with the geopolitical situation, demographic changes, intensification of agriculture, urbanization, or changes in land use policy. However, due to the limited availability of historical data, the driving forces of changes in forest landscapes are most often considered in relation to recent decades, without taking long-term analyses into account. The aim of this paper is to determine the level and types of landscape changes and make preliminary study on natural and socio-economic factors on changes in forest landscapes within the protected area, Ślęża Landscape Park, and its buffer zone using long-term analyses covering a period of 140 years (1883–2013). A comparison of historical and current maps and demographic data related to three consecutive periods of time as well as natural and location factors by using the ArcGIS software allows the selected driving forces of forest landscape transformations to be analyzed. We took into account natural factors such as the elevation, slope, and exposure of the hillside and socio-economic drivers like population changes, distances to centers of municipalities, main roads, and built-up areas.

One of the most problematic forms of nature protection in Poland relates to landscape parks. They include the most valuable landscapes, but the areas within the landscape park still have economic uses. Therefore, the monitoring of landscape changes within landscape parks is necessary in order to properly manage these forms of protection. The main objective of the study was to monitor the scale and nature of landscape transformations within the boundaries of landscape parks in Poland during the period 2000–2018 and to assess the possibility of using the landscape change index (LCI) to monitor the intensity of landscape transformations within this type of protected area. Preliminary analyses of the transformations within all landscape parks in Poland showed an upward trend, both in terms of the number of types of identified landscape changes as well as their area. In spite of the large diversity and degree of transformation in landscape parks, several dominant processes can be observed. The largest number and area of changes during each of the analyzed periods were found in transformations within forest landscapes (temporary and permanent deforestation and forest maturation), which constitute the dominant type of land cover within most of the landscape parks. In open landscapes, changes mainly relate to afforestation and natural succession in meadows, pastures, and arable land, as well as the transformation of arable land into mining areas. Twelve case studies, covering all landscape parks in Lower Silesia, have shown that the LCI is an excellent tool for monitoring the intensity of landscape changes, but it is dependent on the accuracy of the source data. The analyses confirmed that, during the study periods, the changes in all 12 Lower Silesian landscape parks were at a low level, but their particular intensification took place in the years from 2012 to 2018. The highest LCI was found in the area where a natural disaster had occurred (air tornado), which destroyed huge areas of forest in landscape parks. After changes in the forest landscape, the most frequently identified type of change in 2006–2012 was the transformation of non-forest landscapes into forest landscapes. The main reason for such changes was the expansion of forest into abandoned arable land, meadows, and pastures. The use of the Corine Land Cover database to calculate the LCI and monitor the intensity of landscape change revealed a low usability of the database for the year 2000 and a high usability for data from 2006 to 2018.

This article presents analyses made in the first stage of research on determining landscape capacity of Sobotka municipality located in Lower Silesia in Poland, partially within Sleza Landscape Park and Bystrzyca Valley Landscape Park. The main objective of the study was to determine the level of change that took place in the high-value landscape of the analysed area in 1938-2016, and to identify the threat level of changes in the future. I began research by preparing maps showing the main elements of land cover for the three periods to be examined. Using of the maps, I developed a database of the surface of the main elements constituting the background landscape of the research area. I relied on available cartographic documents and aerial photographs from the years 1938, 1977, and 2014, plus field studies carried out in 2016. The data obtained made it possible to assess the level of change in two different periods by means of the landscape change index. The analysis helped identify areas where landscape changes were the highest and areas where changes were hardly noticeable. The last step was to identify to what degree the landscape is threatened with changes in the future, current spatial policy of the local authorities being the basis for it.

The main aim of our studies was to explore the driving forces of landscape change and their impact on the landscape as perceived by citizens in our study. We use quantitative tools for unravelling processes of landscape change over time and a qualitative tool aimed at capturing people’s perceptions about those changes. We use the two municipalities of Ostrów Wielkopolski and Kąty Wrocławskie as illustrative examples of urban and urban–rural municipalities in two time periods, 2006–2021 and 2012–2018, in Poland. We apply a three-stage approach: (1) to identify the main landscape changes based on land-cover data, (2) to characterize those changes with the use of orthophoto maps and (3) to identify the driving forces of landscape changes with the use of an online survey and interviews. The results show a large agreement between the perceived and actual level of changes. We identified key landscape change processes in both municipalities, and we conclude that citizens’ perceptions concerning those processes in both municipalities differed depending on the context, the level of changes, and the way this process was planned and implemented. In both municipalities, the respondents pointed out political driving forces of landscape change as key underlying drivers. Future landscape planning should consider citizens’ approaches towards landscape change to achieve better societal approval and improve the quality of life of the inhabitants.