Land | January 2025 - Browse Articles

26 pages, 3740 KiB

Open AccessArticle

Spatial–Temporal Evolution and Influencing Mechanism of Coupling Coordination Level of Social–Ecological Systems in China’s Resource-Based Cities Under the Carbon Neutrality Goal

by Yunhui Zhang, Zhong Wang, Yanran Peng, Wei Wang and Chengxi Tian

Land 2025, 14(1), 207; https://doi.org/10.3390/land14010207 - 20 Jan 2025

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Abstract

Carbon emissions have a profound impact on the transformation goals and development paths of cities. In the context of carbon neutrality, it is of great significance to explore the coupling coordination level of the social–ecological systems in resource-based cities for realizing regional low-carbon [...] Read more.

Carbon emissions have a profound impact on the transformation goals and development paths of cities. In the context of carbon neutrality, it is of great significance to explore the coupling coordination level of the social–ecological systems in resource-based cities for realizing regional low-carbon and sustainable development. In this study, the entropy weighting method, coupling coordination degree model and geographical detector were used to measure the comprehensive development level and coupling coordination level of the social–ecological system in 116 resource-based cities in China from 2010 to 2020 and their spatial–temporal characteristics and influencing mechanism were analyzed. The results show the following: (1) The comprehensive development level of the social system in China’s resource-based cities has a significant upward trend, while the comprehensive development level of the ecological system has a gentle upward trend, and the coupling and coordination level of the social–ecological system has a fluctuating upward trend. (2) There is obvious spatial differentiation between the comprehensive development level and the coupling coordination level of the social–ecological systems in resource-based cities in China, and the relative difference is gradually increasing. (3) The digital economy index, urbanization level, science and education investment, and population density are important factors affecting the coupling coordination level, and the interaction between digital economy index, urbanization level, and population density has a strong explanatory power in the differentiation of the coupling coordination level. Based on the above conclusions, effective policy recommendations are put forward: formulate more refined and differentiated development paths, co-ordinate the spatial layout to give full play to the role of urban agglomeration, vigorously develop the digital economy, increase investment in science and education, rely on scientific and technological innovation to create development advantages, reasonably guide the population layout and take a new urbanization development route. Full article

(This article belongs to the Section Land Socio-Economic and Political Issues)

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24 pages, 8820 KiB

Open AccessArticle

The Influence of Usage and Spatial Experiences on Personal Desirability of a Park Plan: Using Structural Equation Modeling—A Case Study of a Park near a Station in a Suburban City in Japan

by Qin Huang, Ryosuke Shimoda, Yingnan Jiao, Jingyi Yin, Junhua Zhang and Shiro Takeda

Land 2025, 14(1), 206; https://doi.org/10.3390/land14010206 - 20 Jan 2025

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Abstract

Owing to lifestyle changes since COVID-19, new needs for various usages and spatial experiences of open spaces have become apparent. Suburban parks and green spaces are thought to be suitable uses. This study used structural equation modeling to examine the direct and indirect [...] Read more.

Owing to lifestyle changes since COVID-19, new needs for various usages and spatial experiences of open spaces have become apparent. Suburban parks and green spaces are thought to be suitable uses. This study used structural equation modeling to examine the direct and indirect effects of diverse usages and experiences on the desirability of three proposed park plans for a major park in City A, near Tokyo, based on questionnaire survey data. The findings highlight the importance of “Nature, Passive, and Healing” usage, including nature experiences and small-group activities. “Nature, Passive, and Healing” is negatively affected by “Gathering and Active” but positively by “Multifunctional and Borderless”. A potential for significant improvement in park desirability was also found by linking “Nature, Passive, and Healing” to “Multifunctional and Borderless”. For those aged 60 and older, the indirect effect of “Multifunctional and Borderless” via “Nature, Passive, and Healing” was large and significant, whereas its direct effect was not. “Multifunctional and Borderless” park usage was also been proven to have the greatest impact on female users, whereas, for males, “Nature, Passive, and Healing” had the largest impact. These results emphasize the importance of designs that balance diverse usages and ensure appropriate distancing to meet new needs. Full article

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18 pages, 5529 KiB

Open AccessArticle

Integrated Evaluation of the Ecological Security Pattern in Central Beijing Using InVEST, MSPA, and Multifactor Indices

by Xiaodan Li, Haoyu Tao, Jing Wang, Bo Zhang, Zhen Liu, Zhiping Liu and Jing Li

Land 2025, 14(1), 205; https://doi.org/10.3390/land14010205 - 20 Jan 2025

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Abstract

Scientific identification of ecological sources and corridors is crucial in constructing an ecological security pattern (ESP). To develop an ESP tailored to the scale of central urban areas in megacities, this study takes Central Beijing as the research object. It innovatively integrates the [...] Read more.

Scientific identification of ecological sources and corridors is crucial in constructing an ecological security pattern (ESP). To develop an ESP tailored to the scale of central urban areas in megacities, this study takes Central Beijing as the research object. It innovatively integrates the integrated valuation of ecosystem services and tradeoffs (InVEST), the morphological spatial pattern analysis (MSPA), and the Conefor software to identify ecological sources. Seven indicators related to topographic, natural conditions, and human disturbance factors are selected to build the ecological resistance surface, which is then combined with circuit theory to construct the ESP. The results show the following: (1) Central Beijing contains 157 ecological sources, primarily distributed in the western, northern, and eastern regions, with woodland as the dominant land type. (2) A total of 439 ecological corridors were extracted, including 317 key ecological corridors and 122 inactive ecological corridors. (3) The identified ecological pinch points are mainly the Jingmi Diversion Canal and the West Moat. (4) The identified ecological barriers are spread throughout the entire study area. The results of this study are highly significant for improving the quality of ecological security and protecting biodiversity in the study area and other urban centers. Full article

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18 pages, 8276 KiB

Open AccessArticle

Ecological Management Zoning Identification by Coupling Blue-Green and Gray Infrastructure Networks: A Case Study of Guizhou Province, China

by Shuang Song, Xuanhe Zhang, Shaohan Wang and Yue Gong

Land 2025, 14(1), 204; https://doi.org/10.3390/land14010204 - 20 Jan 2025

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Abstract

Ecological management zoning is crucial for maintaining regional ecological security and realizing differentiated urban ecological governance. However, the existing zoning methods are overly focused on ecological functional attributes and fail to adequately consider the impacts of human activities, resulting in an insufficiently rational [...] Read more.

Ecological management zoning is crucial for maintaining regional ecological security and realizing differentiated urban ecological governance. However, the existing zoning methods are overly focused on ecological functional attributes and fail to adequately consider the impacts of human activities, resulting in an insufficiently rational allocation of resources. Taking Guizhou Province as an example, using multi-source data and spatial analysis tools, this study proposed an ecological management zoning framework based on the coupling analysis of the blue-green infrastructure (BGI) network and gray infrastructure (GI) network. The results indicated that (1) the BGI network in the study area included 179 sources, with a total area of 54,228.80 km², and 232 corridors. (2) There were 53 sources in the GI network, totaling 709.19 km², and the corridors of the first, second, and third levels were 11,469.31 km, 6703.54 km, and 5341.30 km, respectively. (3) There were 606 barrier points identified, mainly distributed in the central part of the study area, and the total area of the disturbance zone was 1132.50 km², which had the largest distribution in Qiandongnan, followed by Qiannan. (4) At the county scale, five ecological management zones were identified in the study area based on four indicators, namely, the source area ratio of BGI network, corridor density of BGI network disturbance zone area ratio, and density of barrier point. Then, we proposed targeted optimizations and restorations for each zone. This study organically linked ecological functional attributes and anthropogenic impacts to identify ecological management zones, which will provide new perspectives on synergies between ecological protection and economic development. Full article

(This article belongs to the Topic Advances in Multi-Scale Geographic Environmental Monitoring: Theory, Methodology and Applications)

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18 pages, 626 KiB

Open AccessArticle

Tool Used to Assess Co-Benefits of Nature-Based Solutions in Urban Ecosystems for Human Wellbeing: Second Validation via Measurement Application

by Karmele Herranz-Pascual, Paula Anchustegui, Carolina Cantergiani and Ioseba Iraurgi

Land 2025, 14(1), 203; https://doi.org/10.3390/land14010203 - 20 Jan 2025

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Abstract

In recent years, nature-based solutions have been used in urban regeneration interventions to improve the adaptation and resilience of these places, contributing to improved environmental quality and cultural ecosystem functions, including people’s physiological, social, and mental health and wellbeing. However, when it comes [...] Read more.

In recent years, nature-based solutions have been used in urban regeneration interventions to improve the adaptation and resilience of these places, contributing to improved environmental quality and cultural ecosystem functions, including people’s physiological, social, and mental health and wellbeing. However, when it comes to the assessment of psychological wellbeing and social benefits (psychosocial co-benefits), the existing evidence is still limited. To contribute to the advancement of knowledge on nature’s contribution to people in relation to this type of benefit, it is necessary for us to develop and test assessment tools to contribute to the development of a robust nature-based solutions monitoring framework. In this paper, the second phase of the validation of a psychosocial co-benefit assessment tool for nature-based urban interventions is presented. This tool is structured around two dimensions: the perceived health and wellbeing and social co-benefits. The first validation was carried out with experts using the Delphi method. The second validation presented in this paper was based on a sample of users, evaluating a set of eight urban spaces at different levels of naturalisation and openness. The results indicate that the tool is sensitive to the differences in naturalisation and openness in the public urban places analysed. The most relevant contextual variables to explain the psychosocial co-benefits are openness, the surfaces covered by tree branches, the water surface area, and naturalisation. Full article

(This article belongs to the Special Issue Impacts of Climate Change on Human Wellbeing and Cultural Ecosystem Services)

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24 pages, 11115 KiB

Open AccessArticle

Monitoring of Land Subsidence and Analysis of Impact Factors in the Tianshan North Slope Urban Agglomeration

by Xiaoqiang Yi, Lang Wang, Hui Ci, Ran Wang, Hui Yang and Zhaojin Yan

Land 2025, 14(1), 202; https://doi.org/10.3390/land14010202 - 20 Jan 2025

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Abstract

As one of the 19 key regions for comprehensive land development in China, the Tianshan North Slope urban agglomeration is significant for China’s urban development when calculating the land subsidence and analyzing the impact factors. This study focused on eight cities in the [...] Read more.

As one of the 19 key regions for comprehensive land development in China, the Tianshan North Slope urban agglomeration is significant for China’s urban development when calculating the land subsidence and analyzing the impact factors. This study focused on eight cities in the Tianshan North Slope urban agglomeration, calculating the land subsidence rate from 18 January 2018 to 12 April 2023 using Sentinel-1A data and analyzing the spatiotemporal patterns and impact factors of land subsidence. The results showed that (1) the average land subsidence rate is mainly distributed between −30 and 10 mm/a, and the maximum subsidence rate can reach −358 mm/a. Land uplift mainly occurs in Hutubi County and Manas County. (2) From the transition matrix, landscape pattern index, and Moran’s I, the spatiotemporal patterns of the land subsidence rate are obvious, with a spatial positive correlation. During the monitoring period, each administration experienced varying degrees of land subsidence or uplift processes. (3) Using GeoDetector to perform quantitative analyses, it was found that the hydrological environment is significant to land subsidence, and human activities, such as road network density and nighttime lighting, contribute the least to land subsidence, suggesting that it is related to the arid climate of the study area. This paper aims to provide theoretical support for the stable development of and production activities in the study area. This approach not only offers technical support but also provides guidance for evaluating, monitoring, and the early warning of land subsidence in the region. Full article

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29 pages, 9151 KiB

Open AccessArticle

Tourism Development of Cultural Heritage Resources Through Conservation Concepts: A Case Study of Ningxia, China

by Shengrui Zhang, Tianyi Hu, Tongyan Zhang, Hongrun Ju and Yingjie Wang

Land 2025, 14(1), 201; https://doi.org/10.3390/land14010201 - 20 Jan 2025

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Abstract

Cultural heritage resources represent a vital aspect of tourism in the Ningxia Hui Autonomous Region, an area characterized by its ethnic minority heritage. This study innovatively proposes a classification framework for cultural heritage based on the principles of protection and the demands of [...] Read more.

Cultural heritage resources represent a vital aspect of tourism in the Ningxia Hui Autonomous Region, an area characterized by its ethnic minority heritage. This study innovatively proposes a classification framework for cultural heritage based on the principles of protection and the demands of tourism development. For the first time, it combines kernel density analysis and spatial autocorrelation methods to conduct a quantitative study on the geographical distribution of cultural heritage in Ningxia, covering aspects such as scale, structure, distribution characteristics, and influencing factors. The findings reveal: (1) Religious and Ceremonial Sites: Ningxia boasts the highest number of religious and ceremonial sites, totaling 1741. (2) Geographical Distribution: Resources are distributed in a multicore pattern, concentrated in Longde and Zhongning Counties, while the central and western areas are less rich. (3) Regional Concentration: The eastern region shows a high concentration of resources, contrasting with the low concentration in the north. (4) Influencing Factors: Social factors like GDP per capita, urbanization, and population density significantly affect this spatial pattern, although natural factors like altitude are also important. Consequently, the paper recommends increased government investment in cultural heritage tourism; enhanced integration of heritage tourism between urban core areas and countryside zones; increased investment in the protection and development of cultural heritage in high-altitude and remote areas. These findings aim to promote the sustainable growth of Ningxia’s cultural heritage and offer insights for similar regions. Full article

(This article belongs to the Special Issue The Utilization of National Parks’ Natural Resources and Community Livelihood)

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20 pages, 32621 KiB

Open AccessArticle

A Novel Rapeseed Mapping Framework Integrating Image Fusion, Automated Sample Generation, and Deep Learning in Southwest China

by Ruolan Jiang, Xingyin Duan, Song Liao, Ziyi Tang and Hao Li

Land 2025, 14(1), 200; https://doi.org/10.3390/land14010200 - 19 Jan 2025

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Abstract

Rapeseed mapping is crucial for refined agricultural management and food security. However, existing remote sensing-based methods for rapeseed mapping in Southwest China are severely limited by insufficient training samples and persistent cloud cover. To address the above challenges, this study presents an automatic [...] Read more.

Rapeseed mapping is crucial for refined agricultural management and food security. However, existing remote sensing-based methods for rapeseed mapping in Southwest China are severely limited by insufficient training samples and persistent cloud cover. To address the above challenges, this study presents an automatic rapeseed mapping framework that integrates multi-source remote sensing data fusion, automated sample generation, and deep learning models. The framework was applied in Santai County, Sichuan Province, Southwest China, which has typical topographical and climatic characteristics. First, MODIS and Landsat data were used to fill the gaps in Sentinel-2 imagery, creating time-series images through the object-level processing version of the spatial and temporal adaptive reflectance fusion model (OL-STARFM). In addition, a novel spectral phenology approach was developed to automatically generate training samples, which were then input into the improved TS-ConvNeXt ECAPA-TDNN (NeXt-TDNN) deep learning model for accurate rapeseed mapping. The results demonstrated that the OL-STARFM approach was effective in rapeseed mapping. The proposed automated sample generation method proved effective in producing reliable rapeseed samples, achieving a low Dynamic Time Warping (DTW) distance (<0.81) when compared to field samples. The NeXt-TDNN model showed an overall accuracy (OA) of 90.12% and a mean Intersection over Union (mIoU) of 81.96% in Santai County, outperforming other models such as random forest, XGBoost, and UNet-LSTM. These results highlight the effectiveness of the proposed automatic rapeseed mapping framework in accurately identifying rapeseed. This framework offers a valuable reference for monitoring other crops in similar environments. Full article

(This article belongs to the Special Issue Integrating Remote Sensing and Geospatial Big Data for Land Use Mapping and Monitoring (Second Edition))

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31 pages, 9739 KiB

Open AccessArticle

Spatiotemporal Relationship Between Carbon Metabolism and Ecosystem Service Value in the Rural Production–Living–Ecological Space of Northeast China’s Black Soil Region: A Case Study of Bin County

by Yajie Shang, Yuanyuan Chen, Yalin Zhai and Lei Wang

Land 2025, 14(1), 199; https://doi.org/10.3390/land14010199 - 19 Jan 2025

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Abstract

Amid global climate challenges and an urgent need for ecological protection, the northeastern black soil region—one of the world’s remaining “three major black soil regions”—confronts significant tensions between agricultural economic development and land ecological protection, threatening national food security. Based on the “production–ecology–life” [...] Read more.

Amid global climate challenges and an urgent need for ecological protection, the northeastern black soil region—one of the world’s remaining “three major black soil regions”—confronts significant tensions between agricultural economic development and land ecological protection, threatening national food security. Based on the “production–ecology–life” (PLE) classification system, this study established a dual-dimensional evaluation for carbon metabolism and ESV in horizontal and vertical dimensions. The horizontal flow of carbon and ESV was traced across different ecosystems, while the spatial and temporal dynamics of carbon metabolism and ESV were analyzed vertically. Spatial autocorrelation analyses were employed to examine the interaction patterns between carbon metabolism and ESV. The findings reveal that (1) cropland production space remains the dominant spatial type, exhibiting fluctuating patterns in the size of other spatial types, with a notable reduction in water ecological space. (2) From 2000 to 2020, high-value carbon metabolism density areas were primarily concentrated in the central region, while low-value areas gradually decreased in size. Cropland production space and urban living space served as key compartments and dominant pathways for carbon flow transfer in the two periods, respectively. (3) The total ecosystem service value (ESV) showed a downward trend, decreasing by CNY 1.432 billion from 2000 to 2020. The spatial distribution pattern indicates high values in the center and northwest, contrasting with lower values in the southeast. The flow of ecological value from forest ecological space to cropland production space represents the main loss pathway. (4) A significant negative correlation exists between carbon metabolism density and ESV, with areas of high correlation predominantly centered around cropland production space. This study provides a scientific foundation for addressing the challenges facing the black soil region, achieving synergistic resource use in pursuit of carbon neutrality, and constructing a more low-carbon and sustainable spatial pattern. Full article

(This article belongs to the Special Issue Deep Learning of Climate Change and Extreme Events, Hydrological Processes and Land Use Dynamics Relationships)

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19 pages, 7452 KiB

Open AccessArticle

Responses of Typical Riparian Vegetation to Annual Variation of River Flow in a Semi-Arid Climate Region: Case Study of China’s Xiliao River

by Xiangzhao Yan, Wei Yang, Zaohong Pu, Qilong Zhang, Yutong Chen, Jiaqi Chen, Weiqi Xiang, Hongyu Chen, Yuyang Cheng and Yanwei Zhao

Land 2025, 14(1), 198; https://doi.org/10.3390/land14010198 - 19 Jan 2025

Viewed by 792

Abstract

In semi-arid basins, riparian vegetation is an important part of the river ecosystem. However, with the decrease in river runoff caused by human activities and the continuous changes in climate, riparian vegetation has gradually degraded. To identify the main influencing factors of riparian [...] Read more.

In semi-arid basins, riparian vegetation is an important part of the river ecosystem. However, with the decrease in river runoff caused by human activities and the continuous changes in climate, riparian vegetation has gradually degraded. To identify the main influencing factors of riparian vegetation changes, we extracted the river flow indicators, climate indicators, and riparian vegetation indicators of a Xiliao River typical section from 1985 to 2020 in spring and summer, and established a random forest model to screen the key driving factors of riparian vegetation. Then, we simulated the response characteristics of riparian vegetation to the key driving factors in spring and summer based on nonlinear equations. The results showed that the contribution of river flow factors to riparian vegetation was higher than that of climate factors. In spring, the key driving factors of riparian vegetation were the average flow in May and the average flow from March to May; in summer, the key driving factors were the average flow in May, the maximum 90-day average flow, and the average flow from March to August. Among them, the average flow in May contributed more than 50% to the indicators of riparian vegetation in both spring and summer. The final conclusion is that in the optimal growth range of plants, increasing the base flow and pulse flow of rivers will promote seed germination and plant growth, but when the river flow exceeds this threshold, vegetation growth will stagnate. The research results improve the existing knowledge of the influencing factors of riparian vegetation in semi-arid basins, and provide a reference for improving the natural growth of riparian vegetation and guiding the ecological protection and restoration of rivers in semi-arid areas. Full article

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22 pages, 4782 KiB

Open AccessArticle

Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China

by Qian Xu, Junyi Li, Ziqing Lin, Shuhuang Wu, Ying Yang, Zhixin Lu, Yingjie Xu and Lisi Zha

Land 2025, 14(1), 197; https://doi.org/10.3390/land14010197 - 19 Jan 2025

Viewed by 482

Abstract

Social and economic growth in developing countries has heightened the awareness of environmental challenges, with carbon emissions emerging as a particularly pressing concern. However, the impact of economic development on carbon emission intensity has rarely been considered from the perspective of economic agglomeration, [...] Read more.

Social and economic growth in developing countries has heightened the awareness of environmental challenges, with carbon emissions emerging as a particularly pressing concern. However, the impact of economic development on carbon emission intensity has rarely been considered from the perspective of economic agglomeration, and the relationships and mechanisms between the two remain poorly understood. We analyzed the impact of economic agglomeration on carbon emission intensity and its spatial spillover effect in Guangdong Province, the most economically advantaged province of China, based on a spatial weight matrix generated using geographic proximity, exploratory spatial data analysis (ESDA), and the spatial Durbin model. Between 2000 and 2019, economic agglomeration and carbon emission intensity in Guangdong Province exhibited persistent upward trajectories, whereas between 2016 and 2019, carbon emission intensity gradually approached zero. Further, 80% of the province’s economic output was concentrated in the Pearl River Delta region. Strong spatial autocorrelation was observed between economic agglomeration and carbon emission intensity in the cities, and the economic agglomeration of the province had a parabolic influence on carbon emission intensity. Carbon emission intensity peaked at an economic agglomeration level of 1.2416 × 10⁹ yuan/km² and then gradually decreased. The spatial spillover effect of the openness degree on carbon emission intensity was positive, while GDP per capita and industrial structure had negative effects. Further, the economic agglomeration effects of Guangdong Province increased the carbon emission intensity of major cities and smaller neighboring cities. The stacking effect of economic agglomeration between cities also affected the carbon emission intensity of neighboring cities in the region. During the period of rapid urban development, industrial development and population agglomeration increased resource and energy consumption, and positive externalities such as the scale effect and knowledge spillover were not well reflected, resulting in greater overall negative environmental externalities relative to positive environmental externalities. Full article

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20 pages, 50038 KiB

Open AccessArticle

A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains

by Keqi Li, Qingwu Yan, Zihao Wu, Guie Li, Minghao Yi and Xiaosong Ma

Land 2025, 14(1), 196; https://doi.org/10.3390/land14010196 - 19 Jan 2025

Viewed by 352

Abstract

The assessment of ecological resilience in arid regions is crucial for understanding and mitigating the impacts of climate change and human activities, ensuring the sustainable management of these vulnerable ecosystems. Taking the Economic Belt on the Northern Slope of the Tianshan Mountains (EBNSTM) [...] Read more.

The assessment of ecological resilience in arid regions is crucial for understanding and mitigating the impacts of climate change and human activities, ensuring the sustainable management of these vulnerable ecosystems. Taking the Economic Belt on the Northern Slope of the Tianshan Mountains (EBNSTM) as the research area, a multi-dimensional evaluation model coupling vulnerability, health, and connectivity was used to explore the spatiotemporal variation and driving forces of ecological resilience. Firstly, a sub-item evaluation of ecological resilience was conducted from three aspects, including ecological vulnerability evaluation based on the CRITIC and AHP models, ecological health evaluation based on the InVEST model, and landscape connectivity evaluation based on the MSPA method. Then, the sequence polygon method was utilized to conduct a comprehensive multi-dimensional assessment of ecological resilience based on the aforementioned three evaluation results. Finally, the geographical detector model was utilized to identify the driving factors behind the spatial heterogeneity of ecological resilience. The results show the following: (1) From 2000 to 2020, the overall ecological resilience showed an upward trend and significant spatial heterogeneity. The overall distribution pattern exhibited a spatial feature of south higher, north lower, where the southern region displayed a clear high-high clustering characteristic, exerting a positive and radiating influence on surrounding areas. (2) The main driving factors of the spatial heterogeneity are DEM, precipitation, NPP, GDP, and PM2.5. And among different factors, the dual-factor enhancement effect is greater than the nonlinear enhancement of a single factor. (3) Human activities are important influencing factor, and the impact of urban expansion and economic growth on ecological resilience is becoming increasingly significant. Therefore, in the process of economic development, full consideration should be given to the self-repairing and adaptive capabilities of the ecosystem. Full article

(This article belongs to the Section Land Systems and Global Change)

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30 pages, 4057 KiB

Open AccessArticle

Comparative Evaluation of Crithmum maritimum and Origanum dictamnus Cultivation on an Extensive Urban Green Roof

by Aikaterini N. Martini and Maria Papafotiou

Land 2025, 14(1), 195; https://doi.org/10.3390/land14010195 - 19 Jan 2025

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Abstract

Considering that urban horticulture benefits from green roof technology, the effects of substrate type (compost-perlite-pumice 3:3:4, v/v and compost-perlite-pumice-soil 3:3:2:2, v/v) and depth (7.5 cm and 15 cm) were comparatively evaluated in the cultivation of Crithmum maritimum and Origanum dictamnus [...] Read more.

Considering that urban horticulture benefits from green roof technology, the effects of substrate type (compost-perlite-pumice 3:3:4, v/v and compost-perlite-pumice-soil 3:3:2:2, v/v) and depth (7.5 cm and 15 cm) were comparatively evaluated in the cultivation of Crithmum maritimum and Origanum dictamnus on an urban green roof in modules that included a green roof infrastructure layering. During the first cultivation period (December 2015–August 2016), plants of C. maritimum were taller and had greater diameter than those of O. dictamnus. Greater fresh and dry weights of all plant parts were observed in C. maritimum, as well as in the deep substrates compared to the shallow ones. During the second cultivation period (September 2016–August 2017), the growth of O. dictamnus surpassed that of C. maritimum, while plant height and foliage diameter, as well as the fresh and dry weight of all plant parts were greater in the deep substrates for both species. Conclusively, both species grew satisfactorily on an extensive urban Mediterranean green roof, while the deep substrate favored all their growth parameters. O. dictamnus responded better in the soil-containing substrate regarding survival, growth, and flowering, as opposed to C. maritimum that showed equal response in both substrate types. Full article

(This article belongs to the Special Issue Green Roofs in Arid and Semi-arid Climates)

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19 pages, 31635 KiB

Open AccessArticle

Reflectance and Thermal Micrometeorological Characteristics of an Urban Green Space in the Mediterranean During July’s 2023 Heatwave

by Nikolaos D. Proutsos, Alexandra D. Solomou, Stefanos P. Stefanidis and Ioannis X. Tsiros

Land 2025, 14(1), 194; https://doi.org/10.3390/land14010194 - 18 Jan 2025

Viewed by 632

Abstract

The thermal and optical behavior of different elements in the urban environment is critical for urban climate regulation and planning. This study investigates the micrometeorological conditions prevailing in an urban green space (UGS) in Greece, during the heatwave of July 2023, addressing the [...] Read more.

The thermal and optical behavior of different elements in the urban environment is critical for urban climate regulation and planning. This study investigates the micrometeorological conditions prevailing in an urban green space (UGS) in Greece, during the heatwave of July 2023, addressing the effects of various surface materials on thermal dynamics and the urban heat island (UHI) phenomenon. The research is based on ground surface temperature and albedo measurements on different materials in the UGS, in the morning and at noon, showing great temperature differences between the different types of materials. The findings highlight the complex interaction between high-albedo surfaces and surface temperature values, suggesting that the proper selection of materials can highly affect the optical and thermal behavior of the urban environment. Artificial materials absorb more heat compared to natural vegetation, leading to high surface temperature values, reaching at noon, for example, 58.9 °C for asphalt. For the natural surfaces, dry bare soil presents similar thermal behavior (64.1 °C at noon), while green surfaces had much lower temperatures (e.g., 38.3 °C for grass). Thermal comfort indices revealed that July 2023 experienced extensive “very hot” conditions, imposing the urgent need for strategic urban planning to mitigate heat impacts. The study highlights that in order to create climate-resilient environments and improve thermal comfort, it is crucial to include suitable materials and a variety of vegetation in urban design. Such insights into the complex nature of urban microclimate indicates also the issue of the careful selection of materials and plant species in urban greening initiatives to help cities face the UHI phenomenon. Full article

(This article belongs to the Special Issue Urban Green Spaces: An Effective Tool to Regulate Urban Climate and Biodiversity)

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23 pages, 6295 KiB

Open AccessArticle

Sustaining the Fabric of Time: Urban Heritage, Time Rupture, and Sustainable Development

by Kaixuan Wang and Kalliopi Fouseki

Land 2025, 14(1), 193; https://doi.org/10.3390/land14010193 - 18 Jan 2025

Viewed by 532

Abstract

This paper explores the concept of time rupture, i.e., the disruption of historical continuity caused by rapid urbanization, and its implications for urban heritage preservation, using Dongjiadu in Shanghai as a case study. Time rupture highlights the disconnection between modern development and cultural [...] Read more.

This paper explores the concept of time rupture, i.e., the disruption of historical continuity caused by rapid urbanization, and its implications for urban heritage preservation, using Dongjiadu in Shanghai as a case study. Time rupture highlights the disconnection between modern development and cultural heritage, often diluting local identity and a sense of place. While it presents challenges to the continuity of urban heritage, it also creates opportunities to redefine historical narratives and enrich cultural meaning. By introducing a temporal framework, this study examines the dynamic interplay between heritage preservation and modernity, advocating for adaptive, context-sensitive strategies that move beyond static conservation methods. These strategies acknowledge the fragmented overlaps of urban timelines, ensuring that heritage sites remain vibrant, living components of urban environments. The Dongjiadu case illustrates two distinct categories of time rupture, underscoring the need for sustainable practices that harmonize cultural continuity with contemporary growth. The discussion emphasizes the importance of inclusive practices, community engagement, and the critical integration of technological advancements to address time rupture effectively. By incorporating a temporal perspective into heritage conservation, it is possible to bridge historical continuity and modern development, foster resilience in urban environments, and enable cities to adapt to rapid change while retaining their cultural essence. Ultimately, addressing time rupture through thoughtful, adaptive strategies ensures that urban heritage actively contributes to the sustainability and vitality of evolving cities. 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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26 pages, 5435 KiB

Open AccessArticle

Ecovillages and Transition Towns: Practices of Sustainable Settlements in Urban and Rural Austria

by Ozge Yalciner Ercoskun, Anna Kajosaari and Alois Humer

Land 2025, 14(1), 192; https://doi.org/10.3390/land14010192 - 18 Jan 2025

Viewed by 730

Abstract

This study investigates sustainable settlements—in terms of low-carbon settlements and communities transitioning from oil dependence to local resilience—in urban and rural areas of Austria. The objectives of this study are twofold: First, to examine the Global Ecovillage Network (GEN) and Transition Towns Network [...] Read more.

This study investigates sustainable settlements—in terms of low-carbon settlements and communities transitioning from oil dependence to local resilience—in urban and rural areas of Austria. The objectives of this study are twofold: First, to examine the Global Ecovillage Network (GEN) and Transition Towns Network (TTN) as platforms for alternative lifestyles for urban and rural planning and, second, to comprehend the socio-spatial factors influencing the development of future transition settlements. This study provides updated insights into the concepts of the Global Ecovillage Network in a rural context as well as transition culture in an urban context. In two case studies, we focus on one Global Ecovillage Network (GEN) member, the Cambium Ecovillage near the village of Fehring, Styria, and one Transition Town Network member, Graz, the capital city of Styria. Using transdisciplinary and participatory methodologies, we examine the specific local contexts of these sustainable settlements. Ultimately, the findings of the study about facilitating participatory land use frameworks can be extrapolated from the Austrian context to the broader European context. Conclusions drawn from the results will inform potential future urban and rural land use initiatives concerning ecovillages and transition towns across Europe. Full article

(This article belongs to the Special Issue Strategic Spatial Planning in Urban and Regional Sustainability Transitions)

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20 pages, 2008 KiB

Open AccessArticle

Land Tenure Security and Sustainable Land Investment: Evidence from National Plot-Level Data in Rural China

by Xiaolong Sun, Jinmin Wang and Fangping Rao

Land 2025, 14(1), 191; https://doi.org/10.3390/land14010191 - 18 Jan 2025

Viewed by 366

Abstract

The linkage between land tenure security and land quality improvement investment is crucial given that the land tenure security system is a widely applied policy tool for the protection of cultivation land in developing countries. Drawing on the triple land tenure security framework, [...] Read more.

The linkage between land tenure security and land quality improvement investment is crucial given that the land tenure security system is a widely applied policy tool for the protection of cultivation land in developing countries. Drawing on the triple land tenure security framework, this paper examines the impact of the de jure and the de facto land tenure security on farming households’ decisions about using organic fertilizer on their plots in China, based on a national survey dataset covering 2308 plots matched with 962 farming households across 8 provinces in China (Shangdong, Shangxi, Jilin, Zhejiang, Henan, Gansu, Hunan, and Sichuan) from January to July 2013. The empirical results show that the de facto land tenure security affected the use of organic fertilizer by the farming households positively. In comparison, the impact of the de jure land tenure security on the use of organic fertilizer by farming households was modest. It is suggested that the government should implement the policies effectively to promote de jure land tenure security and encourage farming households to make sustainable land investment. Full article

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18 pages, 5085 KiB

Open AccessArticle

Dynamics of Cropland Non-Agriculturalization in Shaanxi Province of China and Its Attribution Using a Machine Learning Approach

by Huiting Yan, Hao Chen, Fei Wang and Linjing Qiu

Land 2025, 14(1), 190; https://doi.org/10.3390/land14010190 - 18 Jan 2025

Viewed by 492

Abstract

Cropland is a critical component of food security. Under the multiple contexts of climate change, urbanization, and industrialization, China’s cropland faces unprecedented challenges. Understanding the spatiotemporal dynamics of cropland non-agriculturalization (CLNA) and quantifying the contributions of its driving factors are vital for effective [...] Read more.

Cropland is a critical component of food security. Under the multiple contexts of climate change, urbanization, and industrialization, China’s cropland faces unprecedented challenges. Understanding the spatiotemporal dynamics of cropland non-agriculturalization (CLNA) and quantifying the contributions of its driving factors are vital for effective cropland management and the optimal allocation of land resources. This study investigated the spatiotemporal dynamics and driving mechanisms of CLNA in Shaanxi Province (SP), a major grain-producing region in China, from 2001 to 2020, using geospatial statistical analysis and machine learning techniques. The results showed that, between 2001 and 2020, approximately 17,200.8 km² of cropland (8.4% of the total area) was converted to non-cropland, with a pronounced spatial clustering pattern. XGBoost-SHAP attribution analysis revealed that among the 15 selected driving factors, precipitation, road network density, rural population, population density, grain yield, registered population, and slope length exerted the most significant influence on CLNA in SP. Notably, the interaction effects between these factors contributed more substantially than the individual factors. These findings highlight the pronounced regional disparities in CLNA across SP, driven by a complex interplay of multiple factors, underscoring the urgent need to implement water-saving agricultural practices and optimize rural land-use planning to maintain the dynamic balance of cropland and ensure food security in the region. Full article

(This article belongs to the Section Land – Observation and Monitoring)

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17 pages, 2367 KiB

Open AccessArticle

Beyond Distribution: Critique of Spatial Justice Theories—Case Study of Shanghai’s 15-Minute City

by Shengxi Xin and Qingyuan Guo

Land 2025, 14(1), 189; https://doi.org/10.3390/land14010189 - 18 Jan 2025

Viewed by 625

Abstract

The concept of the 15-minute city is increasingly being adopted globally as a pathway towards the vision of a just city. However, this distributive justice-based discourse is also used to justify and depoliticize radical planning interventions, particularly relocation, which profoundly impact the lifeworlds [...] Read more.

The concept of the 15-minute city is increasingly being adopted globally as a pathway towards the vision of a just city. However, this distributive justice-based discourse is also used to justify and depoliticize radical planning interventions, particularly relocation, which profoundly impact the lifeworlds of affected individuals. Despite improved accessibility and the reallocation of resources, relocatees’ perceived injustice persists. This study aims to address a critical question: How does relocation planning impact the lifeworlds of affected communities, and how does this contribute to the sense of injustice experienced by relocatees? The theoretical framework we used critically examines spatial justice theories, emphasizing their inherent “logic of equation”, which reduces people’s complex lived experiences and subjective realities to measurable data and numbers, thereby disrupting individuals’ lifeworlds. Empirically, this study conducted a case study of a relocation project in Shanghai’s inner city, utilizing mind mapping to visualize the spatial perceptions and activities of 15 residents before and after relocation, complemented by interviews with these residents and two planning officials. While the planners’ evaluations indicate improved built environments post relocation, the findings reveal significant disruptions to the residents’ socio-spatial networks, particularly among the elderly. These disruptions diminished their capacity and willingness to engage with the new space, fostering a persistent sense of injustice. This study concludes that addressing planning disruptions requires policies that go beyond material redistribution to restore and reshape people’s lifeworlds. Full article

(This article belongs to the Special Issue Spatial Justice in Urban Planning (Second Edition))

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23 pages, 25533 KiB

Open AccessArticle

Evaluating the Accessibility of Urban Public Open Spaces Based on an Improved 2SFCA Model: A Case Study Within Chengdu’s Second Ring Road

by Ling Jian, Xiaojiang Xia, Yinbing Zhao, Yang Zhang, Yuanqiao Wang, Yi Tang, Jie Chang and Changliu Wang

Land 2025, 14(1), 188; https://doi.org/10.3390/land14010188 - 17 Jan 2025

Viewed by 464

Abstract

The rational allocation of urban public open spaces (UPOS) is critical for creating a livable urban environment. Traditional Two-Step Floating Catchment Area (2SFCA) models often lack sufficient quantitative analysis regarding the supply of urban public service facilities and population demand. This study, taking [...] Read more.

The rational allocation of urban public open spaces (UPOS) is critical for creating a livable urban environment. Traditional Two-Step Floating Catchment Area (2SFCA) models often lack sufficient quantitative analysis regarding the supply of urban public service facilities and population demand. This study, taking the area within Chengdu’s Second Ring Road as an example, proposes a 2SFCA model that integrates both supply and demand improvements to evaluate UPOS accessibility. The accessibility results are further analyzed using hotspot analysis, and blind zone detection. In terms of supply improvements, the model incorporates additional indicators beyond the spatial area of UPOS, including service quality and the diversity of surrounding environmental service functions, to better evaluate the overall attractiveness of UPOS to residents. On the demand side, besides population size, the model incorporates the spatial distribution of residents and differences in social characteristics affecting UPOS demand. Results indicate that the improved 2SFCA model, which considers both the attractiveness of UPOS and residents’ demand, significantly enhances the accuracy of accessibility assessments. There are substantial differences in service quality among UPOS, while the diversity of surrounding environmental service functions remains generally high. UPOS demand follows a “high in the northeast—low in the southwest” spatial pattern. The spatial distribution of UPOS accessibility shows a “high in the west—low in the east” pattern, opposite to the demand distribution, indicating a supply–demand mismatch. UPOS accessibility identifies one hotspot cluster and four cold spot clusters, with large areas showing no significant characteristics. Additionally, 10.58% of the study area remains blind zones, requiring urgent attention. This study offers a more scientific method and framework for research on the spatial layout and supply–demand matching of UPOS. Full article

(This article belongs to the Special Issue Governance and Spatial Planning for Sustainable Urban and Rural Development)

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18 pages, 1064 KiB

Open AccessArticle

The Impact of Agricultural Digitization on Land Productivity: An Empirical Test Based on Micro Panel Data

by Hongming Zhang and Haihua Zhu

Land 2025, 14(1), 187; https://doi.org/10.3390/land14010187 - 17 Jan 2025

Viewed by 466

Abstract

Digital technology has transformed agriculture by changing traditional production methods and resource allocation. This paper investigates how agricultural digitization affects land productivity, based on farm household data. Findings indicate that agricultural digitization significantly enhances land productivity, with results remaining robust under sensitivity and [...] Read more.

Digital technology has transformed agriculture by changing traditional production methods and resource allocation. This paper investigates how agricultural digitization affects land productivity, based on farm household data. Findings indicate that agricultural digitization significantly enhances land productivity, with results remaining robust under sensitivity and endogeneity tests. Heterogeneity analysis reveals that the positive effects are more pronounced for larger landholdings, lower levels of human capital, and older farming populations. Mechanism analysis indicates that agricultural digitization improves land productivity by optimizing resource allocation, reducing pollution, enhancing risk resilience, and facilitating the adoption of new technologies. These findings provide valuable insights for developing countries pursuing agricultural digital transformation. Full article

(This article belongs to the Section Land Socio-Economic and Political Issues)

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20 pages, 6874 KiB

Open AccessArticle

Edaphic Diversity, Polychemical Soil Status of the Prinevskaya Lowland and Prospects for Soils Use

by Ekaterina Yu. Chebykina, Timur I. Nizamutdinov, Evgeny V. Abakumov and Natalia V. Dinkelaker

Land 2025, 14(1), 186; https://doi.org/10.3390/land14010186 - 17 Jan 2025

Viewed by 488

Abstract

There will be a significant increase in anthropogenic load on the soils of the Prinevskaya lowland in the nearest decade due to the fact that a significant territory is occupied by St. Petersburg. The main objective is a study of the sanitary-hygienic state [...] Read more.

There will be a significant increase in anthropogenic load on the soils of the Prinevskaya lowland in the nearest decade due to the fact that a significant territory is occupied by St. Petersburg. The main objective is a study of the sanitary-hygienic state and soil diversity of the Prinevskaya lowland in case of a high degree of agricultural soil development there and the significant role of the lithological factor. Soils were studied at the following land use and land cover: agricultural and fallow soils of agrolandscapes; forest soils; and soils of industrial areas. Studies were carried out using morphological descriptions and analyses of chemical, physical, and biological properties. The most vulnerable land use are forest and agricultural and fallow zones, where active accumulation of priority toxicants of anthropogenic origin can occur. Geochemical peculiarities of studied soils are deficit of Mn, Cu, Mo, and Zn in soil-forming rock materials and accumulation of strontium and lead in arable horizons. The soils examined show minimal contamination with trace elements, as verified by a range of individual and combined ecotoxicological indicators. Urban development planning, particularly in St. Petersburg, should prioritize the preservation of biodiversity and soil resources. Full article

(This article belongs to the Special Issue Soil Ecological Risk Assessment Based on LULC)

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27 pages, 18608 KiB

Open AccessArticle

Analyzing Urban Parks for Older Adults’ Accessibility in Summer Using Gradient Boosting Decision Trees: A Case Study from Tianjin, China

by Haobo Zhao, Gang Feng, Wei Zhao, Yaxin Wang and Fei Chen

Land 2025, 14(1), 185; https://doi.org/10.3390/land14010185 - 17 Jan 2025

Viewed by 573

Abstract

With the acceleration of global aging, outdoor environments, especially urban green space’s planning and design, play a crucial role in not only promoting physical health but also significantly increasing the opportunities for social interactions for older adults. In recent years, the study of [...] Read more.

With the acceleration of global aging, outdoor environments, especially urban green space’s planning and design, play a crucial role in not only promoting physical health but also significantly increasing the opportunities for social interactions for older adults. In recent years, the study of age-friendly outdoor environments has attracted increasing attention, with digital methods emerging as essential tools due to their precision and versatility. In this research, three parks in the Nankai District, Tianjin, are taken as the subject of a case study to explore the spatial factors that may exert influence on the behavior distribution of older adults in summery urban parks’ planning and design. With the behavior data of the older adults in the park collected using an Insta360 camera every hour (from 8 a.m. to 15 p.m.), the three parks are divided into a total of 49 areas for further analysis. Additionally, the visual indexes of the spatial syntax are analyzed with Depthmap 10, the sunlight conditions are analyzed with the Tangent model, and some other spatial factors, such as the green space ratio and the hard ground ratio, are calculated according to the semantic segmentation of the 360-degree panoramic view photo from the center of every area. SPSS and Gradient Boosting Decision Trees (GBDTs) are used to reveal not only the correlations between the sunlight conditions and the behavior distribution of behavior of the older adults, but also the importance ranking of spatial factors. Furthermore, some improvement strategies are proposed for spatial facility configuration, park furniture arrangement, rational hardscape planning, as well as greening and landscape design. By exploring how to improve the spatial planning and design of summery urban green space for older adults, this research provides guidance on the creation of urban green spaces in extremely hot weather that are not only visually appealing but also socially equitable and environmentally sustainable. Full article

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25 pages, 11764 KiB

Open AccessArticle

Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China

by Wenqian Bai, Zhengwei He, Yan Tan, Guy M. Robinson, Tingyu Zhang, Xueman Wang, Li He, Linlong Li and Shuang Wu

Land 2025, 14(1), 184; https://doi.org/10.3390/land14010184 - 17 Jan 2025

Viewed by 365

Abstract

Developing an effective vegetation classification method for mountain–plain transition zones is critical for understanding ecological patterns, evaluating ecosystem services, and guiding conservation efforts. Existing methods perform well in mountainous and plain areas but lack verification in mountain–plain transition zones. This study utilized terrain [...] Read more.

Developing an effective vegetation classification method for mountain–plain transition zones is critical for understanding ecological patterns, evaluating ecosystem services, and guiding conservation efforts. Existing methods perform well in mountainous and plain areas but lack verification in mountain–plain transition zones. This study utilized terrain data and Sentinel-1 and Sentinel-2 imagery to extract topographic, spectral, texture, and SAR features as well as the vegetation index. By combining feature sets and applying feature elimination algorithms, the classification performance of one-dimensional convolutional neural networks (1D-CNNs), Random Forest (RF), and Multilayer Perceptron (MLP) was evaluated to determine the optimal feature combinations and methods. The results show the following: (1) multi-feature combinations, especially spectral and topographic features, significantly improved classification accuracy; (2) Recursive Feature Elimination based on Random Forest (RF-RFE) outperformed ReliefF in feature selection, identifying more representative features; (3) all three algorithms performed well, with consistent spatial results. The MLP algorithm achieved the best overall accuracy (OA: 81.65%, Kappa: 77.75%), demonstrating robustness and lower dependence on feature quantity. This study presents an efficient and robust vegetation classification workflow, verifies its applicability in mountain–plain transition zones, and provides valuable insights for small-region vegetation classification under similar topographic conditions globally. Full article

(This article belongs to the Special Issue Vegetation Cover Changes Monitoring Using Remote Sensing Data)

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15 pages, 1415 KiB

Open AccessArticle

Assessment of Soil Organic Matter and Its Microbial Role in Selected Locations in the South Bohemia Region (Czech Republic)

by David Kabelka, Petr Konvalina, Marek Kopecký, Eva Klenotová and Jaroslav Šíma

Land 2025, 14(1), 183; https://doi.org/10.3390/land14010183 - 17 Jan 2025

Viewed by 449

Abstract

Organic matter has a very important function in soil, without which, soil formation processes cannot take place properly. It can be divided and classified based on several aspects; the most general division is between the living and non-living parts of organic matter. The [...] Read more.

Organic matter has a very important function in soil, without which, soil formation processes cannot take place properly. It can be divided and classified based on several aspects; the most general division is between the living and non-living parts of organic matter. The results presented in this paper specifically refer to the living microbial part of organic matter. This research was carried out in the years 2021–2024 in the South Bohemia region located in the Czech Republic. Two types of land use (four permanent grassland areas, two forest areas) were evaluated. Based on laboratory soil analyses, some significant dependencies were found. For example, in grasslands with statistically identical pH, there was a dependence (p-value 0.05) between soil organic carbon (SOC), carbon of microbial biomass (MBC) and microbial basal respiration (MBR). Additionally, coniferous forest experimental locations had a lower pH, which, in turn, slowed the activity of microorganisms and promoted the accumulation of SOC in the soil. The results from this experiment support the current knowledge of organic matter and are important for a better understanding of the soil organic matter cycle. Full article

(This article belongs to the Special Issue Soil Ecological Risk Assessment Based on LULC)

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15 pages, 1222 KiB

Open AccessArticle

Valuation of Urban Parks Under the Three-Level Park System in Shenzhen: A Hedonic Analysis

by Xun Li, Qingyu He, Wenwen Huang, Siu-Tai Tsim and Jian-Wen Qiu

Land 2025, 14(1), 182; https://doi.org/10.3390/land14010182 - 17 Jan 2025

Viewed by 434

Abstract

Urban parks play a pivotal role in fostering ecologically advanced cities in China, contributing significantly to enhancing urban environments and the overall quality of life for residents. However, their value is often hard to quantify by urban planners due to the absence of [...] Read more.

Urban parks play a pivotal role in fostering ecologically advanced cities in China, contributing significantly to enhancing urban environments and the overall quality of life for residents. However, their value is often hard to quantify by urban planners due to the absence of a clear market price. Using the hedonic price method, this study delves into the distinct impacts of different types of urban parks (community parks, city parks, country parks) on housing prices under the three-level park system in Shenzhen. The outcomes reveal that owning a view of both city parks and country parks from the apartment has significant positive influence on housing prices, with a premium of 14.8916% (RMB 920,396.73) and 30.7299% (RMB 1,899,309.15), respectively. Regarding accessibility, shortening walking distance by 100 m to the nearest community park and city park can attach a premium to the housing price by 0.3269% (RMB 20,203.55) and 0.6130% value gain (RMB 37,889.53), respectively. The results drawn from distinctive park types are expected to give insights to urban planners in formulating strategies for ecological civilization construction, with an emphasis on prioritizing visible and accessible greenspaces to cater to citizens’ preferences and foster sustainable urban growth. Full article

(This article belongs to the Section Landscape Ecology)

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22 pages, 12366 KiB

Open AccessArticle

The Application of Numerical Simulation in Debris Flow Disaster Early Warning: A Case Study of Shiyang Gully, China

by Hao Zheng, Lanlan Guo, Jifu Liu, Bin Chen and Lianyou Liu

Land 2025, 14(1), 181; https://doi.org/10.3390/land14010181 - 16 Jan 2025

Viewed by 440

Abstract

This study explores the application of numerical simulation in debris flow disaster early warning, using the Shiyang Gully in China as a case study. Using both the HEC-HMS and FLO-2D, the 18 June 2017 debris flow event was reconstructed to analyze the impacts [...] Read more.

This study explores the application of numerical simulation in debris flow disaster early warning, using the Shiyang Gully in China as a case study. Using both the HEC-HMS and FLO-2D, the 18 June 2017 debris flow event was reconstructed to analyze the impacts of cumulative rainfall, rainfall intensity, and rainfall range on debris flow hazards. Simulation results showed that cumulative rainfall exceeding 90 mm or rainfall intensity surpassing 200 mm/8 h significantly increases debris flow depth, impact force, and affected areas, leading to severe structural damage. Expanding the rainfall range to the entire basin further amplifies disaster risks, increasing both inundation depth and exposed elements. Based on these findings, a four-tier debris flow early warning system was developed: (1) blue (IV) warning for cumulative rainfall of up to and including 20 mm or intensity of 200 mm/24 h, indicating preparation and monitoring; (2) yellow (III) warning for rainfall exceeding 20 mm but below 60 mm, requiring enhanced inspections and safety measures; (3) orange (II) warning for rainfall between 60 and 90 mm or intensity of 200 mm/12 h, necessitating immediate evacuation preparations; and (4) red (I) warning for rainfall over 90 mm or intensity of 200 mm/8 h, demanding full evacuation and emergency responses. This study demonstrates the value of numerical simulation in refining early warning systems by integrating multi-scenario analyses of rainfall parameters. The proposed system offers scientific and practical insights for enhancing debris flow disaster management, particularly in small, high-risk watersheds, providing a framework for cross-regional disaster mitigation strategies. Full article

(This article belongs to the Special Issue Land Use Planning, Sustainability and Disaster Risk Reduction)

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15 pages, 2924 KiB

Open AccessArticle

Visual Gradation of Biological Soil Crust Development: A Simple and Effective Recording Method

by Xinyu Zhang, Ping He and Jie Xu

Land 2025, 14(1), 180; https://doi.org/10.3390/land14010180 - 16 Jan 2025

Viewed by 342

Abstract

Biological soil crusts are important components of dryland ecosystems, showing variations in appearance, morphology, and function across developmental stages. However, the methods for recording biocrust developmental stages have not been simplified and standardized. In this study, three developmental grades for both cyanobacterial crust [...] Read more.

Biological soil crusts are important components of dryland ecosystems, showing variations in appearance, morphology, and function across developmental stages. However, the methods for recording biocrust developmental stages have not been simplified and standardized. In this study, three developmental grades for both cyanobacterial crust and moss crust were defined based on visual indicators such as color, thickness, and moss height. A field survey was conducted across three precipitation regions in northern China, during which the developmental grades of cyanobacterial and moss crusts were visually recorded. Key biocrust developmental indicators, including shear strength, penetration resistance, coverage, chlorophyll a content, and bulk density were measured for each grade. The results showed that both cyanobacterial and moss crusts could be effectively classified into three developmental grades based on these indicators, with a 90% concordance between the measured indicators and the defined grading method. This finding validated that the method could accurately reflect biocrust developmental stages while simplifying field recordings. Developmental indicators in various grades of cyanobacterial and moss crusts showed a moderate (30% < CV < 100%) to strong (CV > 100%) variation, highlighting the importance of environmental heterogeneity at the regional scale. Moreover, the grading method proved effective across varying spatial scales, highlighting its broad applicability. However, its validation across the comprehensiveness of target objects and the geographical scope remains limited. Future research should focus on expanding the grading method to include lichen crust, refining it across diverse ecosystems, and exploring the integration of advanced technologies such as hyperspectral imaging and machine learning to automate and improve the classification process. This study provides a simple and effective grading method for visually recording the developmental stages of biological soil crusts, which is useful for ecological research and field applications. Full article

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22 pages, 5237 KiB

Open AccessArticle

From Policy to Practice: Assessing Carbon Storage in Fujian Province Using Patch-Generating Land Use Simulation and Integrated Valuation of Ecosystem Services and Tradeoffs Models

by Qin Nie, Wang Man, Zongmei Li and Xuewen Wu

Land 2025, 14(1), 179; https://doi.org/10.3390/land14010179 - 16 Jan 2025

Viewed by 409

Abstract

Simulating and predicting carbon storage under different development scenarios is crucial for formulating effective carbon management strategies and achieving carbon neutrality goals. However, studies that focus on specific regions and incorporate local policy context require further investigation. Taking Fujian Province as a case [...] Read more.

Simulating and predicting carbon storage under different development scenarios is crucial for formulating effective carbon management strategies and achieving carbon neutrality goals. However, studies that focus on specific regions and incorporate local policy context require further investigation. Taking Fujian Province as a case study, this research developed four policy-driven scenarios—natural development, farmland protection, urban development, and ecological protection—based on local policy frameworks. Using the PLUS (Patch-generating Land Use Simulation) and InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) models, the study simulated and predicted the carbon storage dynamics under each scenario. The results show that carbon storage declined from 1995 to 2020, mainly due to the conversion of forests and agricultural land into construction areas. The ecological protection scenario demonstrated the highest potential for carbon storage recovery, projecting an increase to 2.02 billion tons by 2030, driven by afforestation and conservation initiatives. Conversely, the urban development scenario posed the greatest risks, leading to substantial losses. Key conservation areas, including 12 priority districts, were identified in the western and northwestern regions, while coastal urban areas, comprising 31 vulnerable districts, face significant carbon storage losses. These findings emphasize the need for balanced land use policies that prioritize both urban development and ecological protection to achieve sustainable carbon management. Full article

(This article belongs to the Special Issue Eco-Sensitive Areas: Ecosystem Services, Protected Lands, and Current Challenges (Second Edition))

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23 pages, 11614 KiB

Open AccessArticle

Environment of European Last Mammoths: Reconstructing the Landcover of the Eastern Baltic Area at the Pleistocene/Holocene Transition

by Ivan Krivokorin, Anneli Poska, Jüri Vassiljev, Siim Veski and Leeli Amon

Land 2025, 14(1), 178; https://doi.org/10.3390/land14010178 - 16 Jan 2025

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Abstract

The Eastern Baltic area stands out as a unique location due to the finds of Europe’s youngest dated mammoth remains (12.6–11.2 ka cal BP). Our study explores the drastic climate and landcover changes during the extinction of these gigantic herbivores at the Pleistocene/Holocene [...] Read more.

The Eastern Baltic area stands out as a unique location due to the finds of Europe’s youngest dated mammoth remains (12.6–11.2 ka cal BP). Our study explores the drastic climate and landcover changes during the extinction of these gigantic herbivores at the Pleistocene/Holocene boundary. We used macrofossil analysis to determine the major contemporary terrestrial plant genera present in the area and used corresponding pollen taxa for REVEALS model-based landcover reconstructions. Our results indicate that these last mammoths utilised the open landcover of the Eastern Baltic, which developed as the continental ice sheet retreated during the termination of the last glaciation. Due to climate warming during the initial stages of the Holocene interglacial, the Eastern Baltic became speedily populated by birch and pine forests. The abrupt disappearance of typical forb-dominated tundra indicators, such as Dryas octopetala, and the fast increase in tree birch marked a shift from an open, tundra-like landscape to a forested one, making the environment inhospitable for mammoths even in northernmost Estonia by the beginning of the Holocene. A comparison between the isotopic values of nitrogen (δ¹⁵N) and carbon (δ¹³C) obtained from mammoths’ molars from 14.3 and 11.3 to 43.5 and 39.1 ka cal BP showed that mammoths experienced a decline in the nutritional value of their diet, resulting in their demise in the Eastern Baltic. Full article

(This article belongs to the Special Issue Pollen-Based Reconstruction of Holocene Land-Cover)

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