Search Results (13)

As Agricultural Heritage Systems (AHS) shift from recognition toward dynamic conservation and revitalization, understanding how visitors perceive heritage values is essential for improving interpretation and management. Guided by landsenses ecology, this study provides one of the first comparative assessments of visitor perceptions across different types of Tea Agricultural Heritage Systems (TAHS), using three representative cases in Fujian, China. A visitor-oriented framework integrating physical, psychological, and cultural perceptions was developed, and 600 questionnaire responses were analyzed through entropy-weighted fuzzy comprehensive evaluation. The results show that visitors generally perceived the three TAHS positively, but perception levels differed significantly across dimensions and heritage types (p < 0.01). Psychological perceptions, especially sense of safety, sense of space, and sense of belonging, were more readily formed, whereas deeper cultural perceptions, such as understanding of heritage cultural content and community cultural connections, remained weaker. These findings reveal a hierarchical pattern in which immediate sensory and psychological experiences precede deeper cultural cognition. Practically, the study suggests that TAHS conservation should move beyond resource protection by translating heritage values into identifiable, contextualized, and participatory visitor experiences through interpretation systems, community-based participation, and experiential presentation. Full article

Water functional zoning plays a crucial role in water resource allocation, pollution prevention, and ecological protection. With the increasing intensity of human activities, there is a significant mismatch between current water functional zoning and the economic, social development needs and ecological protection goals. Existing water functional zoning methods mainly rely on expert experience for qualitative judgment, which is highly subjective and inefficient. In response, this paper presents a transferable quantitative feature system and introduces a machine learning-based progressive zoning framework for water functions, validated through a case study of the Yangtze River Basin. The results show that the overall accuracy of the framework is 0.78, which is 4–7% higher compared to traditional single models. In terms of spatial distribution, the transformation of protection and reserved zones in 2020 mainly occurred in the middle and lower reaches, where human activities are frequent, particularly in Sichuan and Jiangxi provinces. The development zones are highly concentrated in the downstream areas, with some regions transitioning into protection or reserved zones, mainly in Hubei and Chongqing provinces. Adjustments to buffer zones are primarily concentrated along inter-provincial boundary areas, such as the junction between Hubei and Anhui provinces. This framework helps managers quickly identify key areas for optimizing water functional zones, providing valuable reference for the precise management of water resources and the formulation of ecological protection strategies in the basin. Full article

Birds, as both wetland ecosystem health indicators and highly perceptible forms of wildlife, provide multi-sensory interaction opportunities shaping human health and well-being. However, most studies simplify birds into static landscape metrics, with limited attention to dynamic human–bird interactions and their mental health benefits. Grounded in landscape perception theory, this study constructs an “interaction–perception–restoration” framework and divides human–bird interactions into sensory, cognitive, and participatory levels based on cognitive resource investment. We collected 321 valid samples from Haizhu National Wetland Park. A mixed analytical strategy was adopted, using structural equation modeling to test the framework and moderated mediation models to examine differential pathways. The results showed the following: (1) Restorative environmental perception (REP) plays a partial mediating role between human–bird interactions and mental health, explaining 46.17% of the total effect. (2) All three interaction levels significantly enhance mental health, with cognitive interaction showing the strongest direct effect (β = 0.347 ***) and sensory interaction the largest indirect effect through REP (β = 0.194 ***). (3) Environmental characteristics directly improve REP (β = 0.51 ***) but do not significantly moderate the relationship between human–bird interactions and REP. This study highlights interaction quality and depth as core drivers of mental health, offering insights for optimizing ecological and recreational services in urban wetland parks. Full article

The design of street spaces significantly influences public behavior and quality of life. Understanding how various urban street spatial characteristics affect public behavior, alongside the role of multi-sensory perception, enables designers and planners to create more human-centered urban environments. Grounded in landsenses ecology, this study employs correlation analysis, regression analysis, and Partial Least-Squares Structural Equation Modeling (PLS-SEM) to examine the effects of different urban street spatial characteristics on public behavior and the mediating role of multi-sensory perception. The findings reveal that street spatial characteristics, particularly the Water Surface Ratio (WSR) and Waterfront Density (WD), have a pronounced impact on behavioral traits, with higher public activity frequencies in areas with elevated WSR and WD. Notably, WSR significantly affects static behaviors, such as sunbathing (β = 0.371, p < 0.001), and dynamic behaviors, such as walking (β = 0.279, p < 0.001). While road and water characteristics directly influence behavior, buildings and green spaces mainly affect public behavior through multi-sensory perception. Different sensory perceptions show varying effects, with olfactory perception playing a significant role in these experiences, alongside a notable chain-mediated effect between tactile perception and psychological cognition. These results provide valuable insights for integrating multi-sensory experiences into urban design. Full article

Watershed ecology restoration is the key to solving the ecological and environmental problems of watersheds and achieving sustainable development. As one direction of the frontiers of ecology, landsenses ecology is supported by science and technology and cares for humans. It has a great significance for enhancing the human habitat and achieving sustainable development. Combining landsenses ecology and the technical process of watershed ecology restoration allows the integration of people’s visions into the system of strategies and applied technologies for watershed ecology restoration while ensuring the restoration of the ecological functions of watersheds. It is a complement to the traditional ecosystem restoration model. This study establishes the connection between landsenses ecology and watershed ecology restoration in terms of goals, models and focus of attention. It aims to construct an indicator system of restoration with the application of landsenses ecology, form a complete process of ecological restoration with the integration of landsenses ecology and apply it to the ecological restoration of watershed elements with relatively intensive human activity such as urban green areas, buildings and wetlands (rivers and lakes). Rather than just always emphasizing natural ecology, landsenses ecology treats human beings as part of nature. It tries to establish a more comprehensive, humanized ideal restoration model by taking “human perceptions” into consideration. Through a restoration process based on long-term and continuous coordination, feedback and improvement, it can improve the ecological benefits of the watershed and improve residents’ well-being, so as to ultimately realize the establishment of a “community of life between man and nature”. Full article

Soundscapes are important resources and contribute to high-quality visiting experiences in scenic areas. Based on a public investigation of 195 interviewees in the Kulangsu scenic area, this study aimed to explore the relationships between the harmonious degree of sound sources (SHD) and visiting experience indicators, in terms of soundscape perception, as well as the satisfaction degree of visual landscape and comprehensive impression. The results suggested that the dominating positions of human sounds did not totally suppress the perception of natural sounds such as birdsong and sea waves in the scenic area. Natural sound sources also showed a higher harmonious degree than other artificial sounds. Significant relationships existed between the SHD of most sound sources and the visiting experience indicators. Natural sounds were closely related to pleasant and comfortable soundscape perception, while mechanical sound sources were mainly related to eventful and varied soundscapes. The close relationships between certain sound sources and the satisfaction degree of the visual landscape and comprehensive impression evaluation indicated the effectiveness of audio-visual and even multi-sensory approaches to enhance visiting experience. The structural equation model further revealed that (1) natural sound was the most influential sound source of soundscape and visual landscape perception; (2) human sounds and mechanical sounds all showed significant positive effects on soundscape perception; and (3) indirect relationships could exist in the SHD of sound sources with comprehensive impression evaluation. The results can facilitate targeted soundscape and landscape management and landsense creation with the aim of improving visiting experience. Full article

Residents’ satisfaction of urban green space has been widely detected in living environments around the world. Most previous reports were performed with objective indicators to reflect the characteristics of vegetation and landscapes of residential green space. However, subjective senses as impact factors in the evaluation of residents’ satisfaction based on landsenses ecology are scarce. To address this, in this study, physical perception, aesthetic cognition, and psychological cognition as latent variables in a structural equation model were investigated to determine the residents’ satisfaction in Xiamen, in southeast China, a famously high green space coverage region. The results indicate that physical perception is the fundamental condition to improve residents’ satisfaction, while aesthetic cognition and psychological cognition are the direct factors that influenced residents’ satisfaction. Residents exhibit a preference for the residential green space which contains more biodiversity and landscape diversity, a higher biomass, and greater openness. In addition, the residents’ perception significantly related to greenspace characteristics. The results provide a scientific basis for urban green space planning and optimization of ecological resources’ allocation. Full article

Building Sustainable Cities and Human Communities is one of the 17 Sustainable Development Goals of the United Nations. And the sustainability of culture plays an important role in the sustainable development of cities and human communities. Language is an important carrier of culture, and the sustainability of language is the key factor in the sustainability of culture. How to measure the sustainability of language and its niche is key to achieving sustainable cities and communities. This paper systematically summarized the concept of niche and the theory of ecolinguistics as a theoretical basis for the quantitative study of the linguistic niche, and at the same time, the methods of niche measurement were summarized to provide mathematical support for the quantitative study of the linguistic niche. The Shannon-Wiener index and Pianka index were used to quantitatively study a particular linguistic niche for the first time, based on the use of Hmong and Mandarin in Jianhe County, Guizhou Province, China. The results showed that in the temporal dimension, the niche overlap indexes of Hmong and Mandarin were all above 0.9 in the sample villages, but in the spatial dimension, the niche overlap indexes of both languages were between 0.5 and 0.6. The spatial niche separation moderated the high temporal niche overlap, which made the two languages’ spatio-temporal niche overlap at a medium-high level. The quantitative study of a linguistic niche proved helpful in quantifying the level of sustainable development of language and culture, thus providing timely, accurate, and dynamic reference data to inform macro-control policies on the sustainable development of cities and human communities. Full article

Landsenses ecology has been widely applied in research into sustainable consciousness and behavior and the notion of landsense creation realizes the unity of the macro physical senses and micro psychological perceptions. However, a great deal of current research about landsenses ecology has concentrated on the dimension of the physical senses, while there have been relatively few studies on the dimension of its psychological perception. This paper begins by clarifying the concept of self and explaining out that the psychological perception mechanism of landsense creation represents a process of guiding people to know themselves and realize their ecological self. It then utilizes the example of low-carbon discourse to explore the factors contributing to the resonance of ecological self-vision. Our results show that the perceived self-efficacy, environmental concern and environmental knowledge triggered by ecological discourse are the main factors contributing to the resonance of sustainable vision, thus clarifying the indicators of landsenses ecology at the level of psychological perception. Our purpose is to effectively guide the landsense creation of harmonious discourse and promote people to engage in potentially more sustainable behavior. Full article

Land use and land cover (LULC) mapping is often undertaken by national mapping agencies, where these LULC products are used for different types of monitoring and reporting applications. Updating of LULC databases is often done on a multi-year cycle due to the high costs involved, so changes are only detected when mapping exercises are repeated. Consequently, the information on LULC can quickly become outdated and hence may be incorrect in some areas. In the current era of big data and Earth observation, change detection algorithms can be used to identify changes in urban areas, which can then be used to automatically update LULC databases on a more continuous basis. However, the change detection algorithm must be validated before the changes can be committed to authoritative databases such as those produced by national mapping agencies. This paper outlines a change detection algorithm for identifying construction sites, which represent ongoing changes in LU, developed in the framework of the LandSense project. We then use volunteered geographic information (VGI) captured through the use of mapathons from a range of different groups of contributors to validate these changes. In total, 105 contributors were involved in the mapathons, producing a total of 2778 observations. The 105 contributors were grouped according to six different user-profiles and were analyzed to understand the impact of the experience of the users on the accuracy assessment. Overall, the results show that the change detection algorithm is able to identify changes in residential land use to an adequate level of accuracy (85%) but changes in infrastructure and industrial sites had lower accuracies (57% and 75 %, respectively), requiring further improvements. In terms of user profiles, the experts in LULC from local authorities, researchers in LULC at the French national mapping agency (IGN), and first-year students with a basic knowledge of geographic information systems had the highest overall accuracies (86.2%, 93.2%, and 85.2%, respectively). Differences in how the users approach the task also emerged, e.g., local authorities used knowledge and context to try to identify types of change while those with no knowledge of LULC (i.e., normal citizens) were quicker to choose ‘Unknown’ when the visual interpretation of a class was more difficult. Full article

Accurate and up-to-date information on land use and land cover (LULC) is needed to develop policies on reducing soil sealing through increased urbanization as well as to meet climate targets. More detailed information about building function is also required but is currently lacking. To improve these datasets, the national mapping agency of France, Institut de l’Information Géographique et Foréstière (IGN France), has developed a strategy for updating their LULC database on a update cycle every three years and building information on a continuous cycle using web, mobile, and wiki applications. Developed as part of the LandSense project and eventually tapping into the LandSense federated authentication system, this paper outlines the data collection campaigns, the key concepts that have driven the system architecture, and a description of the technologies developed for this solution. The campaigns have only just begun, so there are only preliminary results to date. Thus far, feedback on the web and mobile applications has been positive, but still requires a further demonstration of feasibility. Full article