Information Landscape Research Articles

Mapping the Way: Teaching Music Information Literacy in the Contemporary Information Landscape

abstract: Information literacy instruction in the twenty-first century stands at a crossroads of multiple socio-cultural trends, recent technological advances (specifically, artificial intelligence applications and large language models), shifting professional standards, and new developments in local educational settings. It is now necessary for instructors to act as explorers of the information environments in which they live and work, observing and staying cognizant of these developments while utilizing the principles of information ethics as a compass for guiding their work. In this article, the author explains how developments in local settings, combined with the above factors, can serve as an impetus for reinventing information literacy instruction. The author presents a variety of strategies for teaching information literacy in music in both credit-bearing courses and "one shot" instructional sessions that incorporate existing information literacy standards and values in information ethics. Curriculum mapping is highlighted as a strategy for planning and codifying pedagogical strategies while keeping lesson planning adaptable and responsive to specific learning needs. Recommendations for other instructors acknowledge that the process of delivering effective information literacy instruction in music is ongoing; success will depend upon how instructors choose to respond to contemporary societal developments and the educational needs of students and colleagues at their respective institutions.

The Changing Weather Information Landscape: Observations, Conjectures, and Thoughts about the Future

Abstract Numerous changes to information technology and media consumption over the last 2 decades have facilitated a fundamental shift in how people receive information, including weather forecasts. Historically, weather information was generally vetted through experts (often broadcast meteorologists) to members of the public in a relatively top-down system. Now, with the availability of internet websites, phone applications, and social media, people have an increasingly diverse set of sources from which to get weather forecasts. In this piece, we present results from CONUS-wide surveys that show this diversification of weather sources for nonroutine weather events. While older respondents still tend to get weather information from television, younger respondents are increasingly reliant on less traditional sources, including phone notifications, internet websites, social media, and family and friends. This shift to nontraditional sources means that a more diverse set of actors will have the opportunity to provide weather information to users, which could impact the quality, reliability, and accessibility of the weather information in the future.

On the effectiveness of multi-scale landscape metrics in soil organic carbon mapping

Soil organic carbon (SOC) mapping delivers invaluable information to the global carbon budget and climate change mitigation endeavour. Environmental variables at sample locations are frequently used as explanatory variables for simulating the spatial distribution of soil properties. However, these may not fully capture the spatial information generated by soil-forming processes. We applied multi-scale landscape metrics that can comprehensively characterize the surrounding landscape information of sample points. The metrics were extracted at two levels (landscape level and class level) and include the diversity, shape and area, fragmentation and connectivity with a buffer distance from 500 m to 5,000 m. We then investigated its effectiveness as environmental variables via recursive feature elimination, random forests, and quantile regression forests. The Jianghan Plain, China, was selected as the study area, where over 19,000 topsoil samples were collected. Results indicated that multi-scale landscape metrics enhanced the predictability of SOC mapping, with R2 increased by 43 %. Specifically, Shannon’s diversity index, the percentage of landscape index, interspersion and juxtaposition index, and patch cohesion index outperformed environmental variables that were extracted at the sample location. In addition, the relationships between SOC and landscape metrics were found to be scale-dependent. Landscape metrics demonstrated significant explanatory capacity for SOC across various spatial scales. Notably, as the scale surpassed 3,000 m, there was a discernible improvement in the explanatory effectiveness of the landscape metrics for SOC. Our findings highlight that landscape metrics are effective in characterising the soil-landscape relationship that is generated by multi-scale natural and anthropogenic soil-forming processes. Meanwhile, knowledge of the intricate relationship between landscape characteristics and SOC is crucial for informing land management decisions aimed at enhancing carbon sequestration, mitigating climate change, and maintaining soil fertility.

Structural and functional alterations under stress conditions by contamination: A multi-species study in a non-forced multi-compartmented mesocosm

Despite the existing connectivity and heterogeneity of aquatic habitats, the concept of interconnected landscapes has been frequently overlooked in ecotoxicological risk assessment studies. In this study, a novel mesocosm system, the HeMHAS (Heterogeneous Multi-Habitat Assay System), was constructed with the potential to assess structural and functional changes in a community resulting from exposure to contaminants, while also considering the complex ecological scenarios. Fish (Sparus aurata), shrimp (Palaemon varians) and three species of marine microalgae (Isochrysis galbana, Nannochloropsis gaditana and Tetraselmis chuii) were used as test organisms. Other species, such as Artemia sp. and macroalgae were also introduced into the system as environmental enrichment. All the species were distributed in five interconnected mesocosm compartments containing a copper gradient (0, 1, 10, 100 and 250 μg/L). The mobile fish avoided the copper contaminants from 1 μg/L (24 h-AC50: 4.88 μg/L), while the shrimp avoided from 50 μg/L (24 h-AC50: 136.58 μg/L). This finding suggests interspecies interactions influence habitat selection in contaminated environments, potentially jeopardizing population persistence. Among the non-motile organisms, the growth and chlorophyll content of the microalgae were concentration dependent. The growth of I. galbana was more sensitive (growth inhibition of 50 % at the highest concentration) in contrast to N. gaditana (30 % inhibition at the highest concentration) and T. chuii (25 % inhibition at the last two highest concentrations). In summary, the mesocosm HeMHAS showed how contamination-driven responses can be studied at landscape scales, enhancing the ecological relevance of ecotoxicological research.

Investigating soils of barrows in the Rozumice Forest (SW Poland) – Dynamics of soil and landscape evolution in a Central European loess plateau

Soil properties reflect a host of environmental conditions and land-use patterns. Formation of cultural landscapes may well be studied at barrow cemeteries, which give the opportunity of comparing the properties of buried soils, the material building the mounds and the present-day soil cover. Current archaeo-pedological research on Late Neolithic long-barrows indicates a widespread Early Holocene presence of fertile chernozemic soils in the loess zone in Silesia (SW Poland) and their subsequent transformation (en masse) into Luvisols during the Subboreal and Subatlantic. Since the timing of the transformation remains a question – to elaborate the regional chronosequence of soil evolution – we examined the barrow cemetery in the Rozumice Forest, presumably of early medieval age. We assessed the chronology of the burial mounds and properties of the soil record by analysis of ALS data and magnetometer survey, as well as pedological and archaeobotanical analyses and 14C dating of samples from cores extracted from four of the barrows. The results show that the barrows in the Rozumice Forest were most likely built in the Early Middle Ages (7-9th c. AD) using local Luvisol (clay-illuvial soil) material, after vegetation clearance by fire. The buried Luvisols found beneath the mounds bear traces of human land-use – settlement and/or agriculture during the Late Neolithic, and may be polygenetic, being the result of transformation of Early Holocene chernozemic soils.

Identification, computation, and mapping of anthropogenic landforms in urban areas: Case studies in the historical centre of Genoa, Italy (UNESCO World Heritage)

Urban geomorphology is a recent discipline that has gained a great deal of interest amongst the scientific community also for its clear connection with the concept of Anthropocene. The identification of anthropogenic landforms in an urban area requires a multidisciplinary approach, mostly using multi-temporal map comparisons, direct and indirect geognostic surveys, and detailed study of the urban landscape. Mediterranean cities have a particularly complex history: their original settlement usually dates back to the medieval period, but often to more ancient, occasionally even prehistoric, times. The result is an urban landscape characterised by modified natural landforms, but above all by anthropogenic landforms linked to the stratification of various urban phases. Reconstructing the landforms before major anthropogenic impacts of the last centuries is a particularly complex operation, and scientific research appears in its early stages. In this research, we introduce examples of the reconstruction of natural landforms in the historic centre of Genoa, a port city that experienced a peak of expansion in the Middle Ages and the Modern Age. The results obtained on four pilot areas highlight significant and previously unknown anthropic modifications and the associated landforms in the urban landscape. Large excavations, fills supported by ramparts, and sea embankments have been identified and quantitatively evaluated using a mixed approach between different disciplines: historical geography, geomatics, physical geography and geomorphology, and engineering geology. This methodology may be applied to other Mediterranean and extra-European urban contexts and may contribute, on the one hand, to the identification of potential geomorphological risks in urban areas and, on the other hand, to the use of urban landscape forms for geological heritage and geodiversity development activities.

Threat or menace to media pluralism? A framework to assess alternative conspiracy media in today’s information landscape

In this article, we examine recent changes in Western media landscapes that witnessed the emergence of alternative conspiracy media critiquing the epistemic hegemony of legacy media, and explore ways to analyze whether they contribute to or hinder democratic discourse. This pressing question depends not only on the empirical manifestations of such media outlets, but also on the ideal conceptualization of media pluralism, which is contingent upon the preferred democratic theory. In this article, we draw from and build upon the work of Daniëlle Raeijmaekers and Pieter Maeseele, and develop a framework to systematically compare media practices against different democratic ideals/theories. We conceptualize a set of criteria that are crucial for the functioning of democracy given each democratic line of thought. Focusing on the three most important contemporary schools – liberal, deliberative, and agonistic – we argue that evaluations of media practices should consider three concepts especially important for media’s functioning in democracy: actor diversity, discursive diversity, and epistemological diversity. We have developed a comparative framework designed for systematic evaluations of media practices, assessing their contribution to media pluralism. This framework may be useful for scholars and media practitioners when assessing the democratic potential of new alternative (conspiracy) media.

Interactive design of new media images and architectural space: taking Hangzhou as an example

ABSTRACT Traditional architectural space design often relies on fixed display boards, paper guides, and static displays. Viewers can only passively receive information and lack opportunities to interact with the displayed content, making it difficult to generate deep participation and personalized experiences. This article applied new media images into the interactive design of architectural spaces, transforming and innovating traditional architectural spaces, and providing audiences with a richer and more attractive spatial experience. The navigation service was set as the architectural space design goal, and analyzed using the Leifeng Tower building in Hangzhou as an example. Building Information Modeling (BIM) was used to digitally model the Leifeng Tower building, accurately simulating the building structure, spatial layout, and landscape information. By adding virtual information annotations and navigation routes, tourists were provided with a more diverse and colorful architectural space experience. The experimental results showed that among 400 tourists, the highest number of tourists using augmented reality navigation was 204, and the average satisfaction score of tourists with augmented reality navigation reached 90. Moreover, presenting the guide content in a multimodal form can better enhance the spatial experience of tourists. The use of augmented reality in architectural spatial interaction design can enrich tourists’ perception and experience in the architectural space, enabling them to interact with the building in a more vivid and interactive way.

Cell fate simulation reveals cancer cell features in the tumor microenvironment

To elucidate the dynamic evolution of cancer cell characteristics within the tumor microenvironment (TME), we developed an integrative approach combining single-cell tracking, cell fate simulation, and three-dimensional (3D) TME modeling. We began our investigation by analyzing the spatiotemporal behavior of individual cancer cells in cultured pancreatic (MiaPaCa2) and cervical (HeLa) cancer cell lines, with a focus on the α2-6 sialic acid (α2-6Sia) modification on glycans, which is associated with cell stemness. Our findings revealed that MiaPaCa2 cells exhibited significantly higher levels of α2-6Sia modification, correlating with enhanced reproductive capabilities, whereas HeLa cells showed less prevalence of this modification. To accommodate the in vivo variability of α2-6Sia levels, we employed a cell fate simulation algorithm that digitally generates cell populations based on our observed data while varying the level of sialylation, thereby simulating cell growth patterns. Subsequently, we performed a 3D TME simulation with these deduced cell populations, considering the microenvironment that could impact cancer cell growth. Immune cell landscape information derived from 193 cervical and 172 pancreatic cancer cases was used to estimate the degree of the positive or negative impact. Our analysis suggests that the deduced cells generated based on the characteristics of MiaPaCa2 cells are less influenced by the immune cell landscape within the TME compared to those of HeLa cells, highlighting that the fate of cancer cells is shaped by both the surrounding immune landscape and the intrinsic characteristics of the cancer cells.

Predicting protein conformational motions using energetic frustration analysis and AlphaFold2

Proteins perform their biological functions through motion. Although high throughput prediction of the three-dimensional static structures of proteins has proved feasible using deep-learning-based methods, predicting the conformational motions remains a challenge. Purely data-driven machine learning methods encounter difficulty for addressing such motions because available laboratory data on conformational motions are still limited. In this work, we develop a method for generating protein allosteric motions by integrating physical energy landscape information into deep-learning-based methods. We show that local energetic frustration, which represents a quantification of the local features of the energy landscape governing protein allosteric dynamics, can be utilized to empower AlphaFold2 (AF2) to predict protein conformational motions. Starting from ground state static structures, this integrative method generates alternative structures as well as pathways of protein conformational motions, using a progressive enhancement of the energetic frustration features in the input multiple sequence alignment sequences. For a model protein adenylate kinase, we show that the generated conformational motions are consistent with available experimental and molecular dynamics simulation data. Applying the method to another two proteins KaiB and ribose-binding protein, which involve large-amplitude conformational changes, can also successfully generate the alternative conformations. We also show how to extract overall features of the AF2 energy landscape topography, which has been considered by many to be black box. Incorporating physical knowledge into deep-learning-based structure prediction algorithms provides a useful strategy to address the challenges of dynamic structure prediction of allosteric proteins.

Capturing oral forms of linguistic landscape in the public teaching space

Abstract In sociolinguistics, the concept of linguistic soundscaping is developed to document the formation of social spaces over time as influenced by linguistic actions. Using a multimodal perspective, this enquiry looks into the dynamic and interactive nature of the typical linguistic soundscape, situating the issue in a public teaching-and-learning space at a university in China. The study adopts a method of linguistic sound walks, to capture real-time sensory encounters with the linguistic soundscape and to understand how these auditory elements influence students’ perceptions of their environment. The study focuses on two main perspectives: the objective characterisation of the linguistic soundscape within university public spaces, and the subjective perceptions of students experiencing these soundscapes. The first perspective involves systematically documenting and categorising the types of sound present, providing a comprehensive overview of the auditory environment. The second perspective explores how students interpret and react to these soundscapes, revealing insights into their sensory experiences and evaluations of their learning environment. These perspectives are combined to demonstrate the importance of the auditory dimension in shaping educational experiences and social interactions within university settings. The findings highlight the diversity and complexity of the linguistic soundscape, emphasising its role in fostering a sense of community and influencing students’ emotional and cognitive responses to their surroundings. This study contributes original insights into the multimodal nature of linguistic landscapes and underscores the value of auditory elements in understanding social spaces in educational contexts.

The ethics of open source investigations: Navigating privacy challenges in a gray zone information landscape

With the exploding availability of online data, digital open-source investigations (OSINV) methods have become increasingly popular in journalism. However, practitioners face novel challenges related to the tension between journalism’s transparency ideals and its duty to safeguard the privacy and security of data subjects. This article explores this tension by drawing on data from eight in-depth interviews with professional open-source investigative journalists in the Netherlands. The findings of our study reveal that OSINV investigators rely heavily on personal assessments and ongoing dialogues with colleagues to make privacy-related editorial choices, as rules and guidelines have only recently emerged. This research provides valuable insights into the intricacies of OSINV journalism, uncovering the delicate balance between journalistic transparency and privacy/security considerations.

Research on visual experience evaluation of fortress heritage landscape by integrating SBE–SD method and eye movement analysis

Urbanization has led to homogenizing heritage site landscapes, and the protective measures have become disconnected from public needs. Additionally, the complex and diverse overall characteristics of heritage sites and the uneven distribution of values across different areas are related to the lack of landscape experience assessment. The “subjective + objective” cognitive evaluation and visual perception framework that adopts the Scenic Beauty Estimation Procedure-Semantic Differential (SBE–SD) method and eye-tracking analysis can compensate for the limitations of a single evaluation method by integrating quantitative and qualitative analysis. This research takes the Yi’an Fortress in Zhangpu County, Fujian Province, as the object and examines the visual experiences of different areas and types of landscapes within the Yi’an Fortress. The findings reveal several key insights: (1) Significant differences were found in the landscape experiences of different areas within the heritage site. The visual experience score of the core building area of Yi’an Fortress is (1.01) > the heritage entrance area (0.897) > the residential area (0.841) > the natural ecological area (0.784), indicating that the natural ecological area should be the focus of future protection and development efforts, with a particular emphasis on enhancing the ‘landscape aesthetic’ and ‘landscape cultural’ aspects. (2) The landscape experience scores can be used to understand the reasons for the differences in participants’ experiences of different landscapes. The architectural heritage landscape of the Yi’an Fortress scored highest in the experience evaluation due to its superior performance in terms of ‘landscape form’ factors. The cultural decorative landscape scored next, while the garden greening landscape scored the lowest, due to their poorer performance in terms of ‘landscape form’ and ‘landscape aesthetics’. (3) The eye-tracking data was consistent with the results of the subjective evaluation, validating the “subjective + objective” cognitive evaluation and visual perception framework, employing the SBE–SD method and eye-tracking analysis is a scientific and effective method for assessing the visual experience of heritage landscapes. These results provide a scientific basis for the heritage planners and managers of the Yi’an fortress to improve the landscape environment, better meet public needs, and preserve the unique character of this vital cultural resource. Furthermore, this study offers a new research method and approach for the protection of other heritage landscapes.

The role and place of Ukraine in modern international information policy: modern challenges and strategic imperatives of cooperation

Introduction: the relevance of the study is determined by evident and paradigmatic change of global political landscape and corresponding international and nation-state information policy. At the same time, attention is drawn to the presence of theoretical gaps in defining the definition of “information policy”, its institutional structure, as well as the mechanisms for its formation and implementation in today realities, in particular against the backdrop of Russia-Ukraine war and challenges concerning the role and place of Ukraine in international information landscape of international relations. Objectives: the article aims to develop an array systematizing the processes taking place within Ukrainian media space during the war, which would allow comprehending them based on theoretical paradigms and today realities of information policy, information landscape, and information geopolitics.Method: the methodological basis for considering research problems is based on the methods of systemic, structural-functional and institutional analysis. The research combines the methodological achievements of several paradigms, constituting the basis of philosophical pluralism - the synergistic method and the paradigm of nonlinearity.Results: the political role of the information space in modern society and public policy is comprehended. This role lies in the ability of the information space to reflect and subsequently change social processes (including political processes), as well as the interests of the actors dominating the political process. The negative effects of populism in the information policy of Ukraine and the discrepancies between internal and external media narratives are noted. The increasing role of civil journalism and Telegram channels in the information field of Ukraine is shown and an understanding of the corresponding challenges for information policy is proposed

Explicit or implicit digital humanities? An examination of search strategies to retrieve digital humanities publications from large-scale scholarly databases

Abstract As a growing research field, digital humanities (DH) is receiving increasing attention from quantitative science studies using standardized scholarly databases. However, one of the challenges of this new line of research is how to select the query strategy to produce a representative sample of the field. In this research, we analyzed the differences between two publication samples acquired from the Dimensions database using two sampling approaches, namely, a keyword search and a DH journal list. We argue that these two samples offer distinct perspectives on the conceptual landscape of digital humanities, namely, implicit DH and explicit DH, and contribute to building a more comprehensive representation of the DH research domain. We identified notable differences between the publication samples from these two query strategies, especially the fact that these two samples have a very small overlap of publications, and they also have different disciplinary orientations. Our findings indicate that future quantitative studies analyzing DH publications should use more inclusive methods to cover both the implicit and explicit types of DH contributions. Moreover, we also discussed how our findings contribute to a deeper understanding of the disciplinary composition of DH, an interdisciplinary research field.

The COVID-19 Resource Centre: an invaluable tool for primary care.

In response to the COVID-19 pandemic, the Ontario-based Centre for Effective Practice (CEP) established the COVID-19 Resource Centre (CRC) in March 2020. This platform rapidly became a critical source of clinical and practice guidance for primary care providers, highlighting the importance of effective information synthesis during public health emergencies. The article discusses the development of the CRC, emphasizing the application of librarianship principles in navigating the challenges posed by the pandemic's information overload and the scarcity of evidence. It outlines the strategies for literature searching, appraisal, and evidence synthesis that were employed to ensure the content's accuracy and utility. The CRC's evolution is presented within the context of its goal to efficiently bridge the gap between evidence and clinical practice, underscoring the collaborative efforts and innovative methodologies that contributed to its success. The CRC has served as an invaluable resource, attracting close to 185,000 visitors from Ontario, across Canada, and internationally. According to survey feedback, 89% of users reported enhanced knowledge of COVID-19 evidence and policies, and 87% stated that the vaccine information directly informed their practice. These statistics underscore the CRC's role in supporting informed decision-making among healthcare providers. The CRC marked the CEP's first foray into real-time evidence-based tool development. Facing challenges of expanding information volumes, an unpredictable information landscape, and the need for swift adaptation to new developments, the CRC emerged as a critical resource, enhancing credibility for the CEP, and fostering new partnerships. This journey underscores the importance of librarianship skills-critical appraisal, evidence synthesis, and knowledge translation-in enhancing service delivery.

SOCIAL MEDIA AND THE INFLUENCE OF FAKE NEWS DETECTION BASED ON ARTIFICIAL INTELLIGENCE

Social media platforms have become the primary medium for news consumption, offering vast amounts of real-time information. However, the proliferation of fake news across these platforms poses significant risks, including societal misinformation, political manipulation, and erosion of public trust. Traditional methods of combating fake news, such as manual fact-checking, have proven insufficient in curbing its spread due to the sheer volume of data and the speed at which misinformation can go viral. To address this challenge, artificial intelligence (AI) has emerged as a powerful tool in detecting fake news. Leveraging techniques such as natural language processing (NLP), machine learning algorithms, and deep learning, AI systems can analyze and flag deceptive content more efficiently than human-based efforts. This paper explores the influence of AI in identifying and mitigating fake news on social media platforms. It delves into how AI-driven fake news detection models work, examining the use of both supervised and unsupervised learning techniques. Additionally, the paper discusses the impact of these AI systems on user behavior, credibility assessment, and trust in social media platforms. However, while AI has shown significant promise, challenges such as algorithmic bias, ethical concerns, and the potential for misuse remain critical areas for future development. The integration of AI in fake news detection is reshaping the digital information landscape, offering both opportunities and risks for enhancing the quality of online discourse.

Моделирование импликативной семантики ландшафтных номинаций в предложении (на материале немецкого языка)

The purpose of the study is to identify the relationship of the implicative semantics of landscape nominations with logical and grammatical types of sentences and to build models of implication of additional meanings of landscape nominations on this basis. The article explores the concept of implicative semantics and investigates how the logical and grammatical structure of German sentences relates to the implicit meanings of landscape-related terms found within them. These implicit meanings are derived from German linguistic culture. The scientific novelty of the study consists in the fact that for the first time the implicative semantics of landscape nominations is modeled in connection with the logical and grammatical types of the German sentence. As a result, based on the corpus data of the Digital Dictionary of the German Language, sentences containing nominations of large landscape forms are analyzed. The specifics of the semantic roles of landscape nominations in four main types of German sentences are described. The speaker's predicative connections with landscape objects and their implicative potential in German linguoculture are systematized. Models of the formation of the implicative meaning of landscape nominations are presented in the form of four types of frames: action, procedural, evaluative and the frame of "inclusion of the singular into the particular". The necessity of taking into account the speaker's intention in interpreting the implicative meaning in different types of discourse is shown.

Should AI-Powered Whole-Genome Sequencing Be Used Routinely for Personalized Decision Support in Surgical Oncology—A Scoping Review

In this scoping review, we delve into the transformative potential of artificial intelligence (AI) in addressing challenges inherent in whole-genome sequencing (WGS) analysis, with a specific focus on its implications in oncology. Unveiling the limitations of existing sequencing technologies, the review illuminates how AI-powered methods emerge as innovative solutions to surmount these obstacles. The evolution of DNA sequencing technologies, progressing from Sanger sequencing to next-generation sequencing, sets the backdrop for AI’s emergence as a potent ally in processing and analyzing the voluminous genomic data generated. Particularly, deep learning methods play a pivotal role in extracting knowledge and discerning patterns from the vast landscape of genomic information. In the context of oncology, AI-powered methods exhibit considerable potential across diverse facets of WGS analysis, including variant calling, structural variation identification, and pharmacogenomic analysis. This review underscores the significance of multimodal approaches in diagnoses and therapies, highlighting the importance of ongoing research and development in AI-powered WGS techniques. Integrating AI into the analytical framework empowers scientists and clinicians to unravel the intricate interplay of genomics within the realm of multi-omics research, paving the way for more successful personalized and targeted treatments.

Landscape understanding and values in extended public consultations on spatial planning in rural communes in Poland

A large part of spatial planning projects in Polish rural communes deals with landscape issues such as protection and planning. Besides legal regulations extended public consultations (EPCs) on spatial planning processes provide an opportunity to comprehensively address and negotiate landscape arguments. This research aims to identify the understanding and value of the concept of landscape by local communities in the examined EPC cases. This paper explores landscape issues through a systematic analysis (multiple-case study) of six cases of EPCs carried out in Poland between 2019 and 2022. The landscape was negotiated in terms of its various functions to provide value for aesthetics, culture, history, identity, recreation, and economy. In some cases, the landscape was used as an argument to promote a hidden agenda. In the rural communes, aesthetic functions of landscapes were frequently addressed, while natural, ecological, and climatic functions of the landscape were barely mentioned, suggesting that the understanding of landscape remains at a representative, cultural, and visual level, which differs from urban discourses that often focus on climatic and ecological functions of landscape. EPCs are a sound instrument to further integrate landscape as a common asset into spatial planning processes.