Land

18 pages, 4044 KiB

Open AccessArticle

Impacts of Climate Change in China: Northward Migration of Isohyets and Reduction in Cropland

by Xinyu Li, Siming Liu, Xinjie Shi, Chunyu Wang, Ling Li, Siyuan Liu and Donghao Li

Land 2025, 14(7), 1417; https://doi.org/10.3390/land14071417 (registering DOI) - 5 Jul 2025

Changes in the environment and in land use interconnect and interact. To ascertain the impact of meteorological factors, namely temperature, precipitation, and sunshine, on land use changes, an analysis was conducted using meteorological data and the China land use dataset spanning from 1990 [...] Read more.

Changes in the environment and in land use interconnect and interact. To ascertain the impact of meteorological factors, namely temperature, precipitation, and sunshine, on land use changes, an analysis was conducted using meteorological data and the China land use dataset spanning from 1990 to 2020. Pearson correlation analysis, grey correlation degree, and vector regression model were employed to assess the influence of meteorological factors on land use alterations and to pinpoint the primary driving forces. The findings reveal the following: (1) The spatial distribution of isohyets and isotherms is shifting towards the north, with the most significant northward movement observed in the 1600 mm isohyets and 15 °C isotherm contours. (2) Overall, the areas of croplands, shrubs, grasslands, and wetlands are decreasing, notably, with a reduction of approximately 100,000 km² in cropland, while forests, water, and impervious surfaces are expanding annually. (3) Temperature and precipitation exhibit notable impacts on various land use types, with temperature exerting the most substantial influence on changes in cropland area, contributing to 8% of the observed variations. This study can provide a scientific basis for the rational optimization and allocation of land resources under changing environmental conditions. Full article

(This article belongs to the Section Land–Climate Interactions)

29 pages, 2208 KiB

Open AccessArticle

Spatiotemporal Distribution of Cultural Heritage in Relation to Population and Agricultural Productivity: Evidence from the Ming-Qing Yangtze River Basin

by Yuxi Liu, Yu Bai, Wushuang Li, Qibing Chen and Xinyu Du

Land 2025, 14(7), 1416; https://doi.org/10.3390/land14071416 (registering DOI) - 5 Jul 2025

Abstract

As a carrier of civilization, cultural heritage reflects the dynamic relationship between humans and their environment within specific historical contexts. During the Ming and Qing Dynasties (1368–1912 CE), the Yangtze River Basin was one of the most prominent regions for economic and cultural [...] Read more.

As a carrier of civilization, cultural heritage reflects the dynamic relationship between humans and their environment within specific historical contexts. During the Ming and Qing Dynasties (1368–1912 CE), the Yangtze River Basin was one of the most prominent regions for economic and cultural activities in ancient China. The cultural heritage of this period was characterized by its dense distribution and continuous evolution. Considering the applicability bias of modern data in historical interpretation, this study selected four characteristic variables: population density, agricultural productivity, technological level, and temperature anomaly. A hierarchical Bayesian model was constructed and change points were detected to quantitatively analyze the driving mechanisms behind the spatiotemporal distribution of cultural heritage. The results show the following: (1) The distribution of cultural heritage exhibited a multipolar trend by the mid-period in both Dynasties, with high-density areas contracting in the later period. (2) Agricultural productivity consistently had a significant positive impact, while population density also had a significant positive impact, except during the mid-Ming period. (3) The cultural calibration terms, which account for observational differences resulting from the interaction between cultural systems and environmental variables, exhibited slight variations. (4) The change point for population density was 364.83 people/km², and for agricultural productivity it was 2.86 × 10⁹ kJ/km². This study confirms that the differentiation in the spatiotemporal distribution of cultural heritage is driven by the synergistic effects of population and resources. This provides a new perspective for researching human–land relations in a cross-cultural context. Full article

(This article belongs to the Topic Human–Environmental Relations: Ecotourism and Sustainability)

23 pages, 345 KiB

Open AccessArticle

Exploring the Development of Community Parks in Urban–Rural Fringe Areas in China: Expert and Policy Perspectives on Sustainable Design and Strategy Planning

by Ke Wang, Ian Mell and Jeremy Carter

Land 2025, 14(7), 1415; https://doi.org/10.3390/land14071415 (registering DOI) - 5 Jul 2025

Abstract

Rapid urban expansion has led to an increasing number of people relocating to Urban–Rural Fringe Areas (URFAs) in China, with related development placing pressure on ecosystems in these locations. Community parks (CPs) are a key category of urban public park (UPPs) in Chinese [...] Read more.

Rapid urban expansion has led to an increasing number of people relocating to Urban–Rural Fringe Areas (URFAs) in China, with related development placing pressure on ecosystems in these locations. Community parks (CPs) are a key category of urban public park (UPPs) in Chinese planning and play a vital role in improving residents’ quality of life and enhancing regional environment, whilst also promoting sustainable urban development. Consequently, CPs are considered by many to be integral components of “communities” in Chinese cities. Drawing on documentary analysis and field research, this paper explores the socio-economic and ecological values associated with CP investments in URFAs in China. It assesses governmental policies and expert perspectives concerning CPs’ development in URFAs and analyses the factors influencing their planning and delivery. The research highlights how policy and stakeholders’ viewpoints impact the development of sustainable green space in URFAs. To enhance the construction of multi-functional CPs in URFAs, we propose a series of characteristics that need to be considered in future developments, including stakeholder engagement, resident needs, and park design. These insights offer an evidence-based reference for decision-makers, aiming to better meet the requirements of residents and support the development of urban sustainability. Full article

29 pages, 11618 KiB

Open AccessArticle

Improving Soil Health Using Date Palm Residues in Southern Tunisian Olive Orchards

by Najoua Chniguir, Abdelhakim Bouajila, Ángeles Prieto-Fernández, Zohra Omar, Salah Mahmoudi and Carmen Trasar-Cepeda

Land 2025, 14(7), 1414; https://doi.org/10.3390/land14071414 (registering DOI) - 5 Jul 2025

Abstract

This study evaluated the effects of different types and rates of locally produced organic residues on soil organic matter (SOM) and soil health in highly degraded loamy soils of olive orchards in arid southern Tunisia. Three residues were tested: poultry manure, raw date [...] Read more.

This study evaluated the effects of different types and rates of locally produced organic residues on soil organic matter (SOM) and soil health in highly degraded loamy soils of olive orchards in arid southern Tunisia. Three residues were tested: poultry manure, raw date palm waste, and composted date palm waste mixed with manure. A randomised field trial was conducted over three years. Two years after application, soil samples were analysed for physical and chemical properties, basal respiration, nitrogen mineralisation, microbial biomass, enzyme activities (dehydrogenase, phosphomonoesterase, β-glucosidase, urease, arylsulphatase), and community-level physiological profiles. All residues increased SOM and available phosphorus (Pi), with dose-dependent effects sustained over time, though significant increases were only observed at the highest application rates. The most notable improvements occurred in soils amended with composted date palm waste. In contrast, biological and biochemical parameters showed little response, even after remoistening to stimulate microbial activity. This limited response was attributed to the absence of vegetation and, consequently, of root exudates and plant residues. This will be further investigated by assessing changes in the same biological and biochemical properties following the implementation of an intercropping system, which is expected to enhance both SOM content and microbial activity in these soils. Full article

(This article belongs to the Special Issue Agroforestry Systems for Sustainable Land Management: Innovations and Challenges)

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16 pages, 614 KiB

Open AccessArticle

Resident Empowerment and National Park Governance: A Case Study of Three-River-Source National Park, China

by Yulian Ma, Yaolong Li, Yonghuan Ma, Yusong Liu, Xuechun Li and Fanglei Zhong

Land 2025, 14(7), 1413; https://doi.org/10.3390/land14071413 - 4 Jul 2025

Abstract

The underlying tension between national park development and local community interests presents a significant challenge for contemporary ecological governance. Resident empowerment (RE) is increasingly recognized as a crucial pathway to mitigate this tension and achieve effective national park governance (NPG). However, the intrinsic [...] Read more.

The underlying tension between national park development and local community interests presents a significant challenge for contemporary ecological governance. Resident empowerment (RE) is increasingly recognized as a crucial pathway to mitigate this tension and achieve effective national park governance (NPG). However, the intrinsic mechanisms through which RE influences NPG have not been thoroughly explored in existing research. Drawing on the practice of government–resident interaction in China’s national parks, this paper investigates how the decentralization of power can balance the dual goals of environmental protection and social development. Using Three-River-Source National Park as a case study, we employ an ordered Logit regression model to examine the impact of RE on NPG. The study finds that RE is significantly and positively associated with NPG. Its influence is primarily mediated through three mechanisms: an identity effect (enhancing community belonging), an income effect (improving livelihood capabilities), and an environmental effect (strengthening participation in and perception of ecological conservation). Based on this empirical analysis, we recommend policies that further expand residents’ decision-making and management rights and broaden participation channels, thereby promoting the sustainable development and social equity of NPG. Full article

(This article belongs to the Special Issue Navigating the Balance: The Role of National Parks in Ecological Conservation and Socioeconomic Development)

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29 pages, 22994 KiB

Open AccessArticle

Simulating Land Use and Evaluating Spatial Patterns in Wuhan Under Multiple Climate Scenarios: An Integrated SD-PLUS-FD Modeling Approach

by Hao Yuan, Xinyu Li, Meichen Ding, Guoqiang Shen and Mengyuan Xu

Land 2025, 14(7), 1412; https://doi.org/10.3390/land14071412 - 4 Jul 2025

Abstract

Amid intensifying global climate anomalies and accelerating urban expansion, land use systems have become increasingly dynamic, complex, and uncertain. Accurately predicting and scientifically evaluating the evolution of land use patterns is essential to advancing territorial spatial governance and achieving ecological security goals. However, [...] Read more.

Amid intensifying global climate anomalies and accelerating urban expansion, land use systems have become increasingly dynamic, complex, and uncertain. Accurately predicting and scientifically evaluating the evolution of land use patterns is essential to advancing territorial spatial governance and achieving ecological security goals. However, most existing land use models emphasize quantity forecasting and spatial allocation, while overlooking the third critical dimension—structural complexity, which is essential for understanding the nonlinear, fragmented evolution of urban systems, thus limiting their ability to fully capture the evolutionary characteristics of urban land systems. To address this gap, this study proposes an integrated SD-PLUS-FD model, which combines System Dynamics, Patch-based Land Use Simulation, and Fractal Dimension analysis to construct a comprehensive three-dimensional framework for simulating and evaluating land use patterns in terms of quantity, spatial distribution, and structural complexity. Wuhan is selected as the case study area, with simulations conducted under three IPCC-aligned climate scenarios—SSP1-2.6, SSP2-4.5, and SSP5-8.5—to project land use changes by 2030. The SD model demonstrates robust predictive performance, with an overall error of less than ±5%, while the PLUS model achieves high spatial accuracy (average Kappa >0.7996; average overall accuracy >0.8856). Fractal dimension analysis further reveals that since 2000, the spatial boundary complexity of all land use types—except forest land—has generally shown an upward trend across multiple scenarios, highlighting the increasingly nonlinear and fragmented nature of urban expansion. The FD values for construction land and cultivated land declined to their historical low in 2005, then gradually increased, reaching their peak under the SSP1-2.6 scenario. Notably, the increase in FD for construction land was significantly greater than that for cultivated land, indicating a stronger dynamic response in spatial structural evolution. In contrast, forest land exhibited pronounced scenario-dependent variations in FD. Its structural complexity remained generally stable under all scenarios except SSP5-8.5, reflecting higher structural resilience and boundary adaptability under diverse socioclimatic conditions. The SD-PLUS-FD model effectively reveals how land systems respond to different socioclimatic drivers in both spatial and structural dimensions. This three-dimensional framework reveals how land systems respond to socioclimatic drivers across temporal, spatial, and structural scales, offering strategic insights for climate-resilient planning and optimized land resource management in rapidly urbanizing regions. Full article

(This article belongs to the Special Issue Advancements in Geospatial Techniques for Land Change Analysis and Management)

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40 pages, 6398 KiB

Open AccessArticle

A Supply–Demand-Driven Framework for Evaluating Service Effectiveness of University Campus Emergency Shelter: Evidence from Central Tianjin Under Earthquake Scenarios

by Hao Gao, Yuqi Han, Jiahao Zhang, Yuanzhen Song, Tianlin Zhang, Fengliang Tang and Su Sun

Land 2025, 14(7), 1411; https://doi.org/10.3390/land14071411 - 4 Jul 2025

Abstract

Urban disaster risks are escalating, and university campus emergency shelters (UCESs) are key to alleviating the supply–demand imbalance in emergency shelter services (ESSs) within high-density central urban areas. However, existing studies lacked the measurement of UCES service effectiveness from a regional supply–demand perspective, [...] Read more.

Urban disaster risks are escalating, and university campus emergency shelters (UCESs) are key to alleviating the supply–demand imbalance in emergency shelter services (ESSs) within high-density central urban areas. However, existing studies lacked the measurement of UCES service effectiveness from a regional supply–demand perspective, limiting the ability to guide planning practices. Therefore, we focused on the capacity of UCESs to improve regional supply–demand relationships and developed a service effectiveness evaluation framework for UCESs in the central urban area of Tianjin under an earthquake scenario. We identified emergency shelter spaces within the campuses and developed a campus–city collaborative shelter capacity model to determine their service supply capacity. Then we quantified regional service demand driven by seismic risk. Finally, we quantified the service effectiveness of each UCES by constructing a service effectiveness evaluation model. Results showed that (1) the total shelter capacity and service coverage of 13 UCESs accounted for approximately 32.1% of the central district’s population and 67.5% of its land area, indicating their strong potential to provide large-scale ESSs. (2) Average seismic risk values ranged from 0.200 to 0.260, exhibiting the characteristic of being higher in the south and lower in the north. (3) Service effectiveness was classified into three levels—higher (1.150–1.257), medium (0.957–0.988), and lower (0.842–0.932)—corresponding to planning interventions that can be implemented based on them. This study aims to reveal differences between different UCESs to improve regional supply–demand relationships by evaluating their service effectiveness and supporting refined emergency management and planning decisions. Full article

(This article belongs to the Section Land Use, Impact Assessment and Sustainability)

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29 pages, 9539 KiB

Open AccessArticle

“Photovoltaic +” Multi-Industry Integration for Sustainable Development in “Desert-Gobi-Wilderness” Region: Geospatial Suitability Simulation and Dynamic Site Selection Decision Optimization

by Zhaotong Song, Jianli Zhou, Cheng Yang, Shuxian Wu, Zhuohao Chen, Jiawen Sun and Yunna Wu

Land 2025, 14(7), 1410; https://doi.org/10.3390/land14071410 - 4 Jul 2025

Abstract

Driven by global climate change and sustainable development, the coordinated development of multiple industries based on photovoltaic energy in the “Desert-Gobi-Wilderness” region has become the key to achieving sustainable development, as well as transforming and upgrading the energy structure. However, the site selection [...] Read more.

Driven by global climate change and sustainable development, the coordinated development of multiple industries based on photovoltaic energy in the “Desert-Gobi-Wilderness” region has become the key to achieving sustainable development, as well as transforming and upgrading the energy structure. However, the site selection decision for “Photovoltaic +” multi-industry integration, which takes into account economic, social and ecological benefits in a complex ecological environment, is still a key difficulty that restricts the feasibility and scalability of the project. This study first identified and systematically analyzed six “PV +” multi-industry integrations suitable for development in China, including “PV + sand control”, “PV + agriculture”, “PV + agriculture + tourism”, “PV + animal husbandry”, “PV + animal husbandry + tourism”, and “PV + tourism”. Then, a site selection decision framework for “PV +” multi-industry integration consists of three parts. Part 1 establishes a multi-dimensional suitability assessment system that takes into account heterogeneous data from multiple sources. Part 2 uses an integration method based on BWM-CRITIC-TODIM for priority ranking analysis, which first uses a Geographic Information System (GIS) to carry out suitability simulation for the entire region of China—identifying six alternative regions—then uses the interactive and multi-criteria decision-making (MCDM) method to prioritize the alternative areas. Part 3 carries out further sensitivity analyses, scenario analyses, and comparative analyses to verify the dynamics and scientific nature of the site selection decision framework. Finally, this study identifies regions of high suitability for development corresponding to the six multi-industry integrations. The framework is designed to help decision stakeholders achieve precise site selection and benefit optimization for “PV +” multi-industry integration and provides a replicable planning tool for achieving industrial synergy and sustainable development in the “Desert-Gobi-Wilderness” region driven by green energy. Full article

(This article belongs to the Topic Modelling and Management of Environment, Energy and Resources: Methods, Applications, and Challenges)

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25 pages, 13531 KiB

Open AccessArticle

Research on the Correlation Between Spatial Layout Characteristics and Geographical Conditions for Ethnic Minority Rural Settlements

by Xi Luo and Jian Zhang

Land 2025, 14(7), 1409; https://doi.org/10.3390/land14071409 - 4 Jul 2025

Abstract

It is significant to study the correlation between the spatial distribution and topographic features for ethnic minority rural settlements, which can provide the theoretical basis and practical methods for the preservation of ethnic culture and scientific planning of territorial space. Liuzhou in Guangxi [...] Read more.

It is significant to study the correlation between the spatial distribution and topographic features for ethnic minority rural settlements, which can provide the theoretical basis and practical methods for the preservation of ethnic culture and scientific planning of territorial space. Liuzhou in Guangxi is a region with diverse ethnic groups and this paper takes Liuzhou as the case study. This study employs fractal theory, GIS spatial analysis, and correlation analysis methods to investigate the relationship between settlement spatial patterns and their surrounding geographical conditions. The findings reveal a significant positive correlation between the geographic location of ethnic minority rural settlements (including site selection and terrain features) and their geographical conditions (topographic and elevation factors). Additionally, significant associations exist between settlement slope, settlement orientation, and their positioning within mountainous terrain. The study also reveals strong correlations between planar morphological characteristics (or settlement scale) and settlement terrain for the settlements of the same ethnic group within the same region. Specifically, Dong settlements exhibit remarkable consistency in settlement scale, while Miao settlements demonstrate high similarity in terms of elevation distribution. The methodology developed in this study is applicable to correlation research on settlement characteristics across diverse ethnic groups and geographical regions. It not only reveals universal patterns of how physical-geographic environments influence the planar and spatial features of settlements, but also validates the logical coherence of investigating layout characteristics from both planar and spatial perspectives. The findings of this study not only provide practical guidance for the development and planning of settlements, but also offer recommendations for the cultural inheritance and settlement protection of ethnic minorities. Full article

(This article belongs to the Special Issue The Role of Land Policy in Shaping Rural Development Outcomes)

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30 pages, 15808 KiB

Open AccessArticle

Exploring the Streetscape Perceptions from the Perspective of Salient Landscape Element Combination: An Interpretable Machine Learning Approach for Optimizing Visual Quality of Streetscapes

by Wanyue Suo and Jing Zhao

Land 2025, 14(7), 1408; https://doi.org/10.3390/land14071408 - 4 Jul 2025

Abstract

Understanding how people perceive urban streetscapes is essential for enhancing the visual quality of the urban environment and optimizing street space design. While perceptions are shaped by the interplay of multiple visual elements, existing studies often isolate single semantic features, overlooking their combinations. [...] Read more.

Understanding how people perceive urban streetscapes is essential for enhancing the visual quality of the urban environment and optimizing street space design. While perceptions are shaped by the interplay of multiple visual elements, existing studies often isolate single semantic features, overlooking their combinations. This study proposes a Landscape Element Combination Extraction Method (SLECEM), which integrates the UniSal saliency detection model and semantic segmentation to identify landscape combinations that play a dominant role in human perceptions of streetscapes. Using street view images (SVIs) from the central area of Futian District, Shenzhen, China, we further construct a multi-dimensional feature–perception coupling analysis framework. The key findings are as follows: 1. Both low-level visual features (e.g., color, contrast, fractal dimension) and high-level semantic features (e.g., tree, sky, and building proportions) significantly influence streetscape perceptions, with strong nonlinear effects from the latter. 2. K-Means clustering of salient landscape element combinations reveals six distinct streetscape types and perception patterns. 3. Combinations of landscape features better reflect holistic human perception than single variables. 4. Tailored urban design strategies are proposed for different streetscape perception goals (e.g., beauty, safety, and liveliness). Overall, this study deepens the understanding of streetscape perception mechanisms and proposes a highly operational quantitative framework, offering systematic theoretical guidance and methodological tools to enhance the responsiveness and sustainability of urban streetscapes. Full article

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17 pages, 1738 KiB

Open AccessArticle

The Practice of Community-Based Forest Management in Northwest Ethiopia

by Tesfaye Mengie and László Szemethy

Land 2025, 14(7), 1407; https://doi.org/10.3390/land14071407 - 4 Jul 2025

Abstract

Community-Based Forest Management (CBFM) efforts are critical for sustainable natural resource governance in Northwest Ethiopia. This study investigated the various aspects of CBFM, emphasizing practical implementation in the context of the Awi Administrative Zone, Northwest Ethiopia. A structured questionnaire was handed out to [...] Read more.

Community-Based Forest Management (CBFM) efforts are critical for sustainable natural resource governance in Northwest Ethiopia. This study investigated the various aspects of CBFM, emphasizing practical implementation in the context of the Awi Administrative Zone, Northwest Ethiopia. A structured questionnaire was handed out to 412 farmers across three districts—Dangila, Fagita Lokoma, and Banja. The quantitative data was analyzed using the Likert scale with SPSS version 23 software. Findings indicate that insufficient financial support (44%), limited community participation (30%), and weak institutional arrangements (19%) are the major factors impeding effective CBFM, with statistically significant regional variation (χ² = 242.8, df = 3, p = 0.000). On the other side, increased awareness and international support (34%) and enhanced local participation (36%) were the leading facilitators (χ² = 512.05, df = 11, p = 0.000). We look at the practical aspects of CBFM, from community-led conservation efforts to sustainable harvesting techniques, emphasizing the importance of indigenous knowledge alongside modern methodologies. The CBFM project in the northwest part of Ethiopia have facilitated biodiversity protection and environmental resilience by integrating local perspectives with broader developmental goals. However, obstacles such as land tenure, resource conflicts, and capacity restrictions continue, requiring adaptive methods and legislative reforms. This paper contributes to the ongoing discussion on sustainable natural resource management by offering empirical insights into the dynamics of CBFM in the Awi administrative zone of northwest Ethiopia. Full article

(This article belongs to the Special Issue New Insights in Landscape Approaches for Biodiversity and Community Resilience)

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20 pages, 4729 KiB

Open AccessReview

Land Use, Spatial Planning, and Their Influence on Carbon Emissions: A Comprehensive Review

by Yongmei Wang and Xiangmu Jin

Land 2025, 14(7), 1406; https://doi.org/10.3390/land14071406 - 4 Jul 2025

Abstract

Carbon emissions from land use account for a significant portion of anthropogenic carbon emissions. As an important policy instrument for regulating land use, spatial planning can shape future land patterns, thereby influencing human activities and associated carbon emissions. This review presents a scientometric [...] Read more.

Carbon emissions from land use account for a significant portion of anthropogenic carbon emissions. As an important policy instrument for regulating land use, spatial planning can shape future land patterns, thereby influencing human activities and associated carbon emissions. This review presents a scientometric analysis of important articles between 2000 and 2024 on the impacts of land use and spatial planning on carbon emissions, and it summarizes the key research topics, methods, and main consensus. Scientometric and qualitative analysis methods were used. The results showed the following: (1) The number of articles published reveals an increasing trend, especially after 2009, with China, the USA, and England paying more attention to it. (2) Studies mainly focus on four key research topics: the impacts of land use and land cover change (LULCC) on carbon stocks, the relationship between land use structure/spatial form and carbon emissions, and the paths and schemes for low-carbon spatial planning. (3) Studies usually use upscale, homoscale, and downscale routes to correlate carbon emissions to land and then use comparative analysis, regression analysis, spatial analysis, and scenario simulation methods to conduct further analyses. (4) Studies have yielded some consensus: human land use can influence carbon emissions through LULCC, land use structure and spatial form, and spatial planning can reduce carbon emissions. In conclusion, this paper proposes that future research could be deepened in the following aspects: introducing land property rights and spatial planning management systems as research preconditions; exploring the sensitivity of carbon emissions from human activities to land space; strengthening research on low-carbon planning at medium- and long-term time scales and micro- and meso-spatial scales. Full article

(This article belongs to the Section Land Use, Impact Assessment and Sustainability)

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33 pages, 6843 KiB

Open AccessArticle

The Impact of Natural and Cultural Landscape Quality on Attachment to Place and the Intention to Recommend Tourism in a UNESCO World Heritage City

by Dong Lv, Shukun Qin, Rui Sun, Xuxin Jiang, Ruxia Cheng and Weimin Sun

Land 2025, 14(7), 1405; https://doi.org/10.3390/land14071405 - 4 Jul 2025

Abstract

Cultural landscapes in World Heritage cities are attracting a growing global tourist population. Given the limitations of self-report methods in capturing tourists’ immediate and deep perceptions, and the lack of comprehensive investigation into the cultural types and naturalness of landscapes, this study aims [...] Read more.

Cultural landscapes in World Heritage cities are attracting a growing global tourist population. Given the limitations of self-report methods in capturing tourists’ immediate and deep perceptions, and the lack of comprehensive investigation into the cultural types and naturalness of landscapes, this study aims to investigate how cultural landscape types influence tourists’ recommendation intention through the mediating roles of place attachment and perceived restorativeness while examining the moderating effect of landscape naturalness. Integrating Place Attachment Theory (PAT), Attention Restoration Theory (ART), and the Associative–Propositional Evaluation Model (APE), three studies were conducted using behavioral and neurophysiological approaches. Study 1, a scenario-based experiment, revealed that high-culture landscapes enhance recommendation intention via place attachment, with the effect of perceived restorativeness being stronger under low naturalness conditions. Study 2, an event-related potential (ERP) experiment, showed that landscapes with low culture and low naturalness elicit stronger emotional responses, as indicated by heightened P2 and LPP amplitudes. Study 3 demonstrated the efficacy of a Decision Tree model in classifying landscape naturalness based on EEG features. This study deepens the understanding of the complexity of tourist experiences in cultural heritage sites, provides new evidence for the application of Place Attachment Theory in tourism contexts, and offers scientific foundations and practical implications for optimizing landscape design in heritage sites, enhancing tourist experiences, and exploring brain–computer interface applications in the tourism field. Full article

(This article belongs to the Special Issue Place-Based Urban Landscape Design Planning: Theory, Methodology and Practice)

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24 pages, 4098 KiB

Open AccessEssay

Spatiotemporal Changes in Synergy Effect Between Tourism Industry and Urban–Rural Integration Development in Yellow River Basin, China

by Wenjia Jiang, Xiaonan Qin and Yuzhu Guo

Land 2025, 14(7), 1404; https://doi.org/10.3390/land14071404 - 3 Jul 2025

Abstract

The imbalance between urban and rural development has become a global structural problem that needs to be solved urgently. In this context, the tourism industry, with its strong correlation and cross-regional integration characteristics, provides a key practical entry point and mechanism for systematically [...] Read more.

The imbalance between urban and rural development has become a global structural problem that needs to be solved urgently. In this context, the tourism industry, with its strong correlation and cross-regional integration characteristics, provides a key practical entry point and mechanism for systematically promoting integrated development by stimulating factor flow, reconstructing the value chain, and reshaping local identity. Based on the synergetic theory, this paper constructs the theoretical framework of the synergetic evolution of the tourism industry and urban–rural integration, and analyzes the synergetic effect of the tourism industry and urban–rural integration in 58 prefecture-level cities in the Yellow River Basin from 2007 to 2021 and the dynamic characteristics of its spatio-temporal evolution by using the entropy TOPSIS, Haken model, and spatial Markov chain methods. The results show the following: ① As the order parameter of synergistic evolution, the tourism industry dominates the evolution direction of the whole system, mainly showing positive feedback effect, showing a significant stage characteristic in general, and gradually reducing the difference from the initial regional differentiation to the middle stage, finally reaching a higher level of unity. ② The synergic evolution of the tourism industry and urban–rural integration in the Yellow River Basin presents significant temporal and spatial differences in the upstream, midstream, and downstream, with the overall characteristics of “collaborative improvement in the upstream, significant agglomeration in the midstream, and reverse decoupling in the downstream”. ③ The dynamic evolution of the synergistic development of the tourism industry and urban–rural integration in the Yellow River Basin has significant characteristics of spatial interaction and dynamic transfer. Its level has the effect of “path dependence”, showing a good trend of upward transfer, and the spatial neighborhood has a significant impact on the synergetic level transfer. The development trend of each region shows that “the upstream region is upward and stable, the midstream region has significant agglomeration and diffusion effects, and the downstream region is driven by polar nuclei and spatial differentiation”. Full article

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26 pages, 1138 KiB

Open AccessArticle

Forging Enhanced Collaboration: Investigating Transaction Costs in Pre-Design Phase of Market-Oriented Community Renovation in China

by Wanrong Li, Queena Qian, Erwin Mlecnik, Shutong He and Kun Song

Land 2025, 14(7), 1403; https://doi.org/10.3390/land14071403 - 3 Jul 2025

Abstract

In the context of urban regeneration, community renovation has been a vital approach for improving local living conditions and global sustainable development. Due to the financial burden and uneven regional development, China’s community renovation has gradually shifted from the government-led model to the [...] Read more.

In the context of urban regeneration, community renovation has been a vital approach for improving local living conditions and global sustainable development. Due to the financial burden and uneven regional development, China’s community renovation has gradually shifted from the government-led model to the market-oriented model. However, these projects are subject to various intra- and inter-stakeholder barriers, particularly hidden transaction costs. This study investigates the transaction costs experienced by key stakeholders, including residents, developers, governments, and architects, with a specific focus on the pre-design phase of market-oriented community renovation projects in China. Data on stakeholders’ experienced transaction costs and their origins were collected through semi-structured interviews and questionnaire surveys and were investigated using content analysis and quantitative analysis. Results show that developers bear the most categories of transaction costs. The most significant transaction costs persist in the interactions between developers and governments, including estimating benefits and costs and receiving project approval. Furthermore, negotiating costs are the primary obstructions that hinder stakeholder collaboration. By tracing the origins of these transaction costs, the study proposes measures to optimize the renovation process by reducing transaction costs. Full article

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25 pages, 8917 KiB

Open AccessArticle

Creating the Spatial Utilization Pattern of Traditional Villages in the Yellow River by Connecting the Heritage Corridors System with the Assessment of Tourism Potential

by Xin Liu, Tangxia Wu, Ziyi Xie, Weijing Yuan and Huan Yang

Land 2025, 14(7), 1402; https://doi.org/10.3390/land14071402 - 3 Jul 2025

Abstract

Traditional villages possess considerable heritage values. Tourism provides an effective way to protect and revitalize the traditional village heritages. Current research has insufficient consideration of tourism potential when constructing the spatial utilization pattern of traditional villages. This study aims to build a spatial [...] Read more.

Traditional villages possess considerable heritage values. Tourism provides an effective way to protect and revitalize the traditional village heritages. Current research has insufficient consideration of tourism potential when constructing the spatial utilization pattern of traditional villages. This study aims to build a spatial utilization pattern of traditional villages within the Yellow River Basin by assessing the tourism potential of each traditional village via the Combined Weight Method and identifying cultural heritage corridors through the application of the Minimum Cumulative Resistance model. The results indicate the following: (1) The traditional villages situated within the Yellow River Basin demonstrate an uneven spatial distribution, with a notable concentration in the middle and lower reaches. (2) The traditional villages located in the middle and lower reaches possess greater tourism potential compared to those found in the upstream, and they are primarily situated in Shanxi and Henan provinces. (3) In light of the cultural attributes, this study proposes a spatial utilization pattern characterized by “four core areas, seven cultural zones, and a three–tiered corridor system”. These findings promote the development of traditional villages while preserving their heritage values, strengthen the communication and integration of regional cultures, and offer practical guidance towards regional coordination and enduring development. Full article

(This article belongs to the Special Issue Preservation, Reuse and Reveal of Cultural Heritage Through Sustainable Land Management, Rural and Urban Development (Third Edition))

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24 pages, 4105 KiB

Open AccessArticle

Best Siting for Small Hill Reservoirs and the Challenge of Sedimentation: A Case Study in the Umbria Region (Central Italy)

by Lorenzo Vergni, Nicola Pasquini and Francesca Todisco

Land 2025, 14(7), 1401; https://doi.org/10.3390/land14071401 - 3 Jul 2025

Abstract

This study presents a GIS-based Weighted Overlay Process (WOP) for Small Hill Reservoir Best Siting (SHRBS) in the Umbria region (central Italy), with a focus on supporting regional-scale planning rather than site-specific engineering design. The WOP incorporated commonly adopted SHRBS criteria, with suitability [...] Read more.

This study presents a GIS-based Weighted Overlay Process (WOP) for Small Hill Reservoir Best Siting (SHRBS) in the Umbria region (central Italy), with a focus on supporting regional-scale planning rather than site-specific engineering design. The WOP incorporated commonly adopted SHRBS criteria, with suitability scores defined through two approaches: Model A, based on scoring scales from the literature, and Model B, which assigns scores based on the frequency distribution of the various attributes observed in a database of over 3000 existing SHRs in the region. The comparison between the models revealed significant differences, particularly in the scores assigned to texture, precipitation, and contributing area. Models A and B, tested on the existing SHRs, indicated quite different average suitability values (2.68 and 3.30, respectively, on a 5-point scale) and only a slight agreement (weighted Cohen’s kappa Kw ≤ 0.13). Both models also showed poor agreement (Kw < 0) when compared with a third suitability model based solely on sedimentation risk, which was developed using the Sediment Delivery Ratio from the InVEST suite. This indicates that many sites considered highly suitable by models A and B were also highly susceptible to sedimentation. Given the economic and environmental implications of sedimentation, this study recommends explicitly incorporating sedimentation risk criteria into SHRBS methodologies to enhance the effectiveness of siting decisions. Full article

(This article belongs to the Special Issue Geomatics and Sustainability: Examples and Application in Urban and Landscape Management (Second Edition))

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23 pages, 5627 KiB

Open AccessArticle

Evaluation of Noah-MP Land Surface Model-Simulated Water and Carbon Fluxes Using the FLUXNET Dataset

by Bofeng Pan, Xiaolu Wu and Xitian Cai

Land 2025, 14(7), 1400; https://doi.org/10.3390/land14071400 - 3 Jul 2025

Abstract

Land surface models (LSMs) play a crucial role in climate prediction and carbon cycle assessment. To ensure their reliability, it is crucial to evaluate their performance in simulating key processes, such as evapotranspiration (ET) and gross primary productivity (GPP), across various temporal scales [...] Read more.

Land surface models (LSMs) play a crucial role in climate prediction and carbon cycle assessment. To ensure their reliability, it is crucial to evaluate their performance in simulating key processes, such as evapotranspiration (ET) and gross primary productivity (GPP), across various temporal scales and vegetation types. This study systematically evaluates the performance of the newly modernized Noah-MP LSM version 5.0 in simulating water and carbon fluxes, specifically ET and GPP, across temporal scales ranging from half-hourly (capturing diurnal cycles) to annual using observational data from 105 sites within the globally FLUXNET2015 dataset. The results reveal that Noah-MP effectively captured the overall variability of both ET and GPP, particularly at short temporal scales. The model successfully simulated the diurnal and seasonal cycles of both fluxes, though cumulative errors increased at the annual scale. Diurnally, the largest simulation biases typically occurred around noon; while, seasonally, biases were smallest in winter. Performance varied significantly across vegetation types. For ET, the simulations were most accurate for open shrublands and deciduous broadleaf forests, while showing the largest deviation for woody savannas. Conversely, GPP simulations were most accurate for wetlands and closed shrublands, showing the largest deviation for evergreen broadleaf forests. Furthermore, an in-depth analysis stratified by the climate background revealed that ET simulations failed to capture inter-annual variability in the temperate and continental zones, while GPP was severely overestimated in arid and temperate climates. This study identifies the strengths and weaknesses of Noah-MP in simulating water and carbon fluxes, providing valuable insights for future model improvements. Full article

(This article belongs to the Section Land–Climate Interactions)

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28 pages, 1056 KiB

Open AccessReview

SDI-Enabled Smart Governance: A Review (2015–2025) of IoT, AI and Geospatial Technologies—Applications and Challenges

by Sofianos Sofianopoulos, Antigoni Faka and Christos Chalkias

Land 2025, 14(7), 1399; https://doi.org/10.3390/land14071399 - 3 Jul 2025

Abstract

This paper presents a systematic, narrative review of 62 academic publications (2015–2025) that explore the integration of spatial data infrastructures (SDIs) with emerging smart city technologies to improve local governance. SDIs provide a structured framework for managing geospatial data and, in combination with [...] Read more.

This paper presents a systematic, narrative review of 62 academic publications (2015–2025) that explore the integration of spatial data infrastructures (SDIs) with emerging smart city technologies to improve local governance. SDIs provide a structured framework for managing geospatial data and, in combination with IoT sensors, geospatial and 3D platforms, cloud computing and AI-powered analytics, enable real-time data-driven decision-making. The review identifies four key technology areas: IoT and sensor technologies, geospatial and 3D mapping platforms, cloud-based data infrastructures, and AI analytics that uniquely contribute to smart governance through improved monitoring, prediction, visualization, and automation. Opportunities include improved urban resilience, public service delivery, environmental monitoring and citizen engagement. However, challenges remain in terms of interoperability, data protection, institutional barriers and unequal access to technologies. To fully realize the potential of integrated SDIs in smart government, the report highlights the need for open standards, ethical frameworks, cross-sector collaboration and citizen-centric design. Ultimately, this synthesis provides a comprehensive basis for promoting inclusive, adaptive and accountable local governance systems through spatially enabled smart technologies. Full article

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