Individuals, communities, and societies ascribe a diverse array of values to landscapes. These values are shaped by the aesthetic, cultural, and recreational benefits and services provided by those landscapes. However, across the globe, processes such as urbanization, agricultural intensification, and abandonment are threatening landscape integrity, altering the personally meaningful connections people have toward specific places. Existing methods used to study landscape values, such as social surveys, are poorly suited to capture dynamic landscape-scale processes across large geographic extents. Social media data, by comparison, can be used to indirectly measure and identify valuable features of landscapes at a regional, continental, and perhaps even worldwide scale. We evaluate the usefulness of different social media platformsPanoramio, Flickr, and Instagram-and quantify landscape values at a continental scale. We find Panoramio, Flickr, and Instagram data can be used to quantify landscape values, with features of Instagram being especially suitable due to its relatively large population of users and its functional ability of allowing users to attach personally meaningful comments and hashtags to their uploaded images. Although Panoramio, Flickr, and Instagram have different user profiles, our analysis revealed similar patterns of landscape values across Europe across the three platforms. We also found variables describing accessibility, population density, income, mountainous terrain, or proximity to water explained a significant portion of observed variation across data from the different platforms. Social media data can be used to extend our understanding of how and where individuals ascribe value to landscapes across diverse social, political, and ecological boundaries.cross-cultural analysis | volunteered geolocated content | outdoor recreation and leisure | cultural ecosystem services | European landscape

Aesthetic enjoyment and perception are increasingly recognized as important values of cultural landscapes. The study of these values transcends mere physical attributes of the landscape and requires assessment of its social meaning. In recent years the usage of social media has gained momentum to study the aesthetic preferences and perception of the environment. However, until now the different approaches have not yet been sufficiently combined to provide more in depth understanding of what attracts people in the landscape We propose a robust methodology using social media photos from Flickr and Panoramio to estimate the correlation between landscape attributes and landscape preferences. We combine formal modeling of spatial photo distribution based on the occurrence of landscape elements with content analysis of the photos to pinpoint what it is in a landscape that attracts people. We use the Kromme Rijn Area-a peri-urban area in the center of the Netherlands and a popular recreation area-as case study area. The analysis shows that this area is appreciated by its visitors and residents for the presence of monumental buildings, small water bodies and opportunities for hikes along grasslands. The method successfully linked the structural elements of the landscape with the revealed preferences, providing a way of quantifying the appreciation of the landscape. Qualitative surveys remain essential to study motivations for outdoor recreation, but social media data can be incorporated as evidence of what elements of the landscape are valued, where people are interacting with the landscape, and how these interactions characterize a landscape.

Almost all rural areas in Europe have been shaped or altered by humans and can be considered cultural landscapes, many of which now are considered to entail valuable cultural heritage. Current dynamics in land management have put cultural landscapes under a huge pressure of agricultural intensification and land abandonment. To prevent the loss of cultural landscapes, knowledge on the location of different types of cultural landscapes is needed. In this paper, we present a characterization of European cultural landscapes based on the prevalence of three key dimensions of cultural landscapes: landscape structure, management intensity, and value and meaning. We mapped these dimensions across Europe at a 1-km resolution by combining proxies on management intensity and landscape structure with new indicators such as social media usage and registered traditional food products. We integrated the three dimensions into a continuous "cultural landscape index" that allows for a characterization of Europe's rural landscapes. The characterization identifies hotspots of cultural landscapes, where all three dimensions are present, such as in the Mediterranean. On the other hand, Eastern and Northern European cultural landscapes are mostly characterized by only one of the dimensions. Our paper can help to identify pressures to cultural landscapes and thus to target measures for the conservation of these landscapes, to link similar landscapes in different regions, and to inform policy design on the most important characteristics of cultural landscapes at a regional scale.

Cultural landscapes are valued for their landscape character and cultural heritage. Yet, these often low-intensity, multifunctional landscapes are at risk of disappearance. Understanding how cultural landscapes might change under alternative futures is important for identifying where to target actions towards persistence of cultural landscapes. This study therefore aims to identify past and future land use changes in the European Union's (EU's) cultural landscapes. To do so, we overlay past and projected plausible future land change trajectories with the spatial distribution of cultural landscapes in the EU. Our results highlight a clear co-occurrence of specific land change trajectories and cultural landscape types. Past and future urbanization and agricultural abandonment are the land use change processes most strongly affecting small-scale, low-intensity agricultural landscapes that are valued by society. De-intensification is overrepresented in landscapes with a low management intensity. Past intensification was overrepresented in small-scale landscapes with a high value to society, while future intensification might concentrate on landscapes with a low intensity. Typical cultural landscapes show a strong variation of changes under different scenario conditions in terms of future landscape change. Scenario analysis revealed that some of the threats to cultural landscapes are related to agricultural policies, nature policies and other spatial restrictions. At the same time, these policies may also alleviate these threats when properly designed and targeted by accounting for the impacts they may have on cultural landscapes. Considering cultural landscapes more directly in decisions to be made for the post-2020 Common Agricultural Policy period is needed, and could be achieved by a focus on landscape quality beyond the current focus on specific greening measures.

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