Analysis of the evolutionary process and the driving forces of the meliorization model (MM) for sustainable land use is the focus of landsenses ecology. Among different landsenses, the relationships between landscape preference changes and land-use dynamics have not been fully explored. Taking Fujian Province as an example, we investigated landscape preference changes during urbanization, which represents the most prominent driver and key process of land-use dynamics in China. Mix-marching data from a survey questionnaire of 2044 residents at different urbanization levels were used to reveal landscape preference changes during urbanization. The findings demonstrated that urbanization, rather than naturalness, was a better predictor of a person’s preferences for natural landscapes. The more urbanized the area that a person resides in, the more they prefer natural landscapes. Furthermore, the younger the population, the higher the preference for natural landscapes is. Teenagers always prefer landscapes with high naturalness regardless of the level of urbanization of where they live. Older people had a lower preference for natural landscapes. There was also greater variation with respect preference for different levels of urbanization: Males less preferred natural landscape compared with females. This study presents potential development patterns of landscape preferences during urbanization considering demographic differences, which may expand our understanding of the dynamic development of the MM.

Humans receive multiple benefits from various landscapes that foster ecological services and aesthetic attractiveness. In this study, a hybrid framework was proposed to evaluate ecological and aesthetic values of five landscape types in Houguanhu Region of central China. Data from the public aesthetic survey and professional ecological assessment were converted into a two-dimensional coordinate system and distribution maps of landscape values. Results showed that natural landscapes (i.e. water body and forest) contributed positively more to both aesthetic and ecological values than semi-natural and human-dominated landscapes (i.e. farmland and non-ecological land). The distribution maps of landscape values indicated that the aesthetic, ecological and integrated landscape values were significantly associated with landscape attributes and human activity intensity. To combine aesthetic preferences with ecological services, the methods (i.e. field survey, landscape value coefficients, normalized method, a two-dimensional coordinate system, and landscape value distribution maps) were employed in landscape assessment. Our results could facilitate to identify the underlying structure-function-value chain, and also improve the understanding of multiple functions in landscape planning. The situation context could also be emphasized to bring ecological and aesthetic goals into better alignment.

The study of landscape fragmentation offers promising approaches for better understanding how the interaction between natural conditions and socioeconomic factors generates environmental changes. In this paper, the state of landscape fragmentation due to urban-transportation networks in Fujian Province, China, was calculated on different spatial scales, using effective mesh size as an index for fragmentation degree. The relationship between fragmentation degree and regional socioeconomic development was explored to detect how socioeconomic processes, such as urbanization or industrialization, affect landscape change. The results demonstrated that even more than population increase, economic growth has a more significant impact on landscape. Growth from all three sectors (agriculture, industry, and service) can significantly accelerate the process of landscape fragmentation, and those from industry and service are the recent actual drivers leading to a fragmented landscape in China. The results als...

Trees and their morphology can mitigate the urban heat island (UHI) effect, but the impacts of tree species and their two-dimensional (2D) and three-dimensional (3D) morphological characteristics on the thermal environment of residential spaces at the building scale have not been effectively evaluated. This research extracted the data of trees in the spatial range of a 50 m radius of the sampling sites located in a subtropical humid city’s residential area based on unmanned aerial vehicle (UAV) imagery and field measurements. It included Ficus microcarpa L. f., Cinnamomum camphora (L.) J. Presl, and Alstonia scholaris (L.) R. Br. as three typical evergreen tree species and six quantitative indicators of trees, with the number of trees (N) serving as fundamental indicator and mean canopy width (MCW), mean canopy height (MCH), mean tree height (MTH), canopy biomass (CV), and mean canopy biomass (MCV) as morphological characteristic indicators. We analyzed the impact of the six indicators above on two thermal environment parameters: Air temperature (AT) and relative humidity (RH), by correlation analysis and multiple linear regression analysis. Results showed that: (1) F. microcarpa, as a dominant local species, provided more than 65% of the tree canopy volume within the study area (50 m radius buffer zones), and its contribution to cooling and humidification effects was superior to those of C. camphora and A. scholaris. (2) The MTH and CV of F. microcarpa are the key factors influencing daytime AT and RH, respectively, with temporal fluctuation in impact intensity during the spring (May) daytime. (3) The MTH and N of F. microcarpa show the best cooling effect (adjusted R² = 0.731, p < 0.05) during midday (13:00–14:00 p.m.), while its CV and MTH have the best humidification effect (adjusted R² = 0.748, p < 0.05) during the morning (9:00–10:00 a.m.) among three typical tree species. The 2D and 3D morphological characteristic indicators effectively describe the impact and variation of tree species on the spring microclimate within small-scale residential spaces. This work provides new insights into the thermal benefits brought by the spatial growth features of trees at the building scale and offers reference for urban residential areas in the planning and management related to tree species selection, canopy maintenance, and the improvement of thermal comfort for inhabitants.

Urban spatial identity is declining in Chinese cities overall due to urbanization, which is attracting increasing attention from the government. Research gaps include systematically comparing urban identities based on causes and manifestations in small cities. We developed a framework for estimating spatial identity from the perspective of climate adaptation, which is based on the relationship between regional climate and spatial form. Five small cities were selected in China: Wu’an, Qingcheng, Jintang, Changxing, and Lianjiang. Our findings suggest that (1) typical indicators include impervious surface rate, green coverage rate, water surface rate, average story number, and total gross floor area, contributing to morphological characteristics influenced by climate drivers; (2) for the hot humid climate zones, the city with the highest level of spatial identity is in Jintang, followed by Lianjiang and Changxing; and for the cold climate zones, the level of spatial identity in Qingcheng was higher than in Wu’an. This can contribute to the understanding and methodology of spatial identity based on climate adaptation in small cities.

Nature-based Solutions (NbSs) bridge ecological conservation and human well-being. As the concept gains global traction, its potential for cultural heritage preservation is drawing increasing interest. This study explores the localized application of NbSs in Chinese villages, focusing on two core questions: its compatibility with traditional Chinese construction wisdom and its practical pathways for localization. A literature review reveals strong theoretical alignment between NbS principles and indigenous building practices. This study develops a dual quantitative framework—comprising an NbS evaluation system and a cultural value assessment system—for coupling coordination analysis. Results show a strong interdependence between the integration of NbS principles and village cultural value, with traditional villages (0.7806) achieving a better balance between ecological protection and cultural heritage than non-traditional villages (0.5953), validating the alignment of global NbS principles with local building wisdom. Based on gray relational analysis, disaster risk management and local governance are identified as key NbS dimensions shaping cultural integrity and knowledge continuity. An integrated indicator system combining ecological and cultural metrics is proposed. This study confirms the alignment between global principles and local wisdom, offering an NbS localization framework with insights for heritage conservation.