Land | September 2024 - Browse Articles

24 pages, 15190 KiB

Open AccessArticle

Spatiotemporal Variation and Prediction of Carbon Storage in Terrestrial Ecosystems at Multiple Development Stages in Beijing City Based on the Plus and Integrated Valuation of Ecosystem Services and Tradeoffs Models

by Peian Wang, Chen Liu and Linlin Dai

Land 2024, 13(9), 1544; https://doi.org/10.3390/land13091544 - 23 Sep 2024

Viewed by 580

Abstract

Terrestrial ecosystems play a critical role in the global carbon cycle, and their carbon sequestration capacity is vital for mitigating the impacts of climate change. Changes in land use and land cover (LULC) dynamics significantly alter this capacity. This study scrutinizes the LULC [...] Read more.

Terrestrial ecosystems play a critical role in the global carbon cycle, and their carbon sequestration capacity is vital for mitigating the impacts of climate change. Changes in land use and land cover (LULC) dynamics significantly alter this capacity. This study scrutinizes the LULC evolution within the Beijing metropolitan region from 1992 to 2022, evaluating its implications for ecosystem carbon storage. It also employs the Patch-Generating Land Use Simulation (PLUS) model to simulate LULC patterns under four scenarios for 2035: an Uncontrolled Scenario (UCS), a Natural Evolution Scenario (NES), a Strict Control Scenario (SCS), and a Reforestation and Wetland Expansion Scenario (RWES). The InVEST model is concurrently used to assess and forecast ecosystem carbon storage under each scenario. Key insights from the study are as follows: (1) from 1992 to 2022, Beijing’s LULC exhibited a phased developmental trajectory, marked by an expansion of urban and forested areas at the expense of agricultural land; (2) concurrently, the region’s ecosystem carbon storage displayed a fluctuating trend, peaking initially before declining, with higher storage in the northwest and lower in the central urban zones; (3) by 2035, ecosystem carbon storage is projected to decrease by 1.41 Megatons under the UCS, decrease by 0.097 Megatons under the NES, increase by 1.70 Megatons under the SCS, and increase by 11.97 Megatons under the RWES; and (4) the study underscores the efficacy of policies curtailing construction land expansion in Beijing, advocating for sustained urban growth constraints and intensified afforestation initiatives. This research reveals significant changes in urban land use types and the mechanisms propelling these shifts, offering a scientific basis for comprehending LULC transformations in Beijing and their ramifications for ecosystem carbon storage. It further provides policymakers with substantial insights for the development of strategic environmental and urban planning initiatives. Full article

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19 pages, 2430 KiB

Open AccessFeature PaperArticle

Shrinkage Does Not Follow Population Decline on a Regional Scale: Planning and Reality of Residential Area in Japan

by Fumihiko Seta

Land 2024, 13(9), 1543; https://doi.org/10.3390/land13091543 - 23 Sep 2024

Viewed by 630

Abstract

This study first examines changes in the amount of residential area on a regional scale, which is said to shrink following population decline, using Japan as an example, where population decline is already underway in most of the country. Second, it examines how [...] Read more.

This study first examines changes in the amount of residential area on a regional scale, which is said to shrink following population decline, using Japan as an example, where population decline is already underway in most of the country. Second, it examines how the regional governments have set future targets for residential areas and whether these targets are consistent with the current trend. Third, it examines how prefectures, Japan’s regional governments, are responding to this situation through regional land use planning. The methodologies of the paper are a combination of collecting and sorting out the related data, reviewing and extracting information from planning documents, and conducting interviews with persons in charge. In conclusion, residential areas have continued to increase on a regional scale, even as the population has declined. Shrinkage does not follow population decline on a regional scale. It was also found that the amount of residential area changed more closely with the change in households than with the population. National and regional land use plans generally set targets for more shrinkage than the actual trend. The underestimation of the amount of residential area was due to the rapid decline in the number of persons per household. Cases of the three prefectures showed that specific control is left to the individual acts, while the measures are indicated in the wording by the prefectural land use plans. Full article

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

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21 pages, 11390 KiB

Open AccessArticle

The Spatial–Temporal Evolution and Driving Factors of the Coastal Tourism Economy in China

by Shengrui Zhang, Hanyun Xue, Tongyan Zhang and Hongrun Ju

Land 2024, 13(9), 1542; https://doi.org/10.3390/land13091542 - 23 Sep 2024

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Abstract

Tourism has emerged as a pivotal element of China’s economic development, particularly within its coastal cities. This paper presents a comprehensive analysis of China’s coastal city tourism economic development, focusing on 53 coastal cities. Through a meticulous combination of literature analysis and data [...] Read more.

Tourism has emerged as a pivotal element of China’s economic development, particularly within its coastal cities. This paper presents a comprehensive analysis of China’s coastal city tourism economic development, focusing on 53 coastal cities. Through a meticulous combination of literature analysis and data crawling, a robust database is constructed, encompassing tourism resources and revenues. This study delineates the spatial–temporal evolution pattern of China’s coastal city tourism development and employs geo-detector methods to quantitatively analyze the impact factors driving this evolution. Key findings reveal distinct trends in the coastal tourism economy of China from 2009 to 2019, characterized by spatial stability, similar trends in adjacent spatial units, and localized spatial structures. Notably, factors such as actual foreign investment, the presence of star-rated guesthouses, tourism industry employment, airport activity, and import–export trade volume exert significant influence on the domestic tourism economy. Similarly, tourism employment, airport activity, availability of star-rated hotels, import–export trade, and utilization of foreign capital emerge as influential factors shaping inbound tourism. Policy recommendations emphasize the need for government intervention to optimize tourism development strategies for coastal cities. This entails balancing resource exploitation with environmental protection and enhancing the quality of tourism services, fostering sustainable growth and long-term prosperity. Full article

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

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26 pages, 28717 KiB

Open AccessFeature PaperArticle

Assessing Land-Cover Change Trends, Patterns, and Transitions in Coalfield Counties of Eastern Kentucky, USA

by Suraj K C, Buddhi R. Gyawali, Shawn Lucas, George F. Antonious, Anuj Chiluwal and Demetrio Zourarakis

Land 2024, 13(9), 1541; https://doi.org/10.3390/land13091541 - 23 Sep 2024

Viewed by 779

Abstract

Surface coal mining and reclamation have greatly reshaped eastern Kentucky’s landscape affecting its socioeconomic, environmental and climatic aspects. This study examined the land-cover changes, trends and patterns in Floyd, Knott, Letcher, Magoffin, Martin, Perry, and Pike counties from 2004 to 2019. Using a [...] Read more.

Surface coal mining and reclamation have greatly reshaped eastern Kentucky’s landscape affecting its socioeconomic, environmental and climatic aspects. This study examined the land-cover changes, trends and patterns in Floyd, Knott, Letcher, Magoffin, Martin, Perry, and Pike counties from 2004 to 2019. Using a random forest classifier, land cover was categorized into seven major classes, i.e., water, barren land, developed land, forest, shrubland, herbaceous, and planted/cultivated, majorly based on Landsat images. The Kappa accuracy ranged from 75 to 89%. The results showed a notable increase in forest area from 5052 sq km to 5305 sq km accompanied by a substantial decrease in barren land from 179 sq km to 91 sq km from 2004 to 2019. These findings demonstrated that reclamation activities positively impacted the forest expansion and reduced the barren land of the study area. Key land-cover transitions included barren land to shrubland/herbaceous, forest to shrubland, and shrubland to forest, indicating vegetation growth from 2004 to 2019. An autocorrelation analysis indicated similar land-cover types clustered together, showing effective forest restoration efforts. As surface coal mining and reclamation significantly influenced the landscapes of the coalfield counties in eastern Kentucky, this study provides a holistic perspective for understanding the repercussions of these transformations, including their effects on humans, society, and environmental health. Full article

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23 pages, 3235 KiB

Open AccessFeature PaperArticle

Assessment of Supercell Storm-Induced Uprooting of Amenity Trees—Monetization of Environmental and Socio-Economic Losses

by Mirjana Ljubojević, Bojana Buča, Veljko Šarac, Tijana Narandžić and Thomas Panagopoulos

Land 2024, 13(9), 1540; https://doi.org/10.3390/land13091540 - 23 Sep 2024

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Abstract

Amenity trees contribute to the overall quality of urban environments and are valued for their beauty and the benefits they bring to communities. However, the assessment of this capital commonly concludes with considerations of its vitality and decorativeness. Thus, this research provided a [...] Read more.

Amenity trees contribute to the overall quality of urban environments and are valued for their beauty and the benefits they bring to communities. However, the assessment of this capital commonly concludes with considerations of its vitality and decorativeness. Thus, this research provided a monetary assessment of losses caused by the supercell storm-induced uprooting of trees growing in three public green spaces utilized by the most vulnerable population (children aged 3–18 years). For these purposes, the Council of Tree and Landscape Appraisers (CTLA) formula was applied taking into account growth parameters, species dependence, and the specimens’ condition and location. Prices from national and European nurseries were utilized to obtain appropriate base values. The results indicate that the total appraised monetary loss amounted to EUR 495,864 (national) and EUR 1,528,481 (European prices). The species P. nigra, B. alba, T. tomentosa, F. excelsior, A. saccharinum, P. occidentalis, and P. cerasifera showed lower uprooting resistance with no clear species-specific responses, but there was an interaction of biotic, abiotic, and artificial influences. Understanding the complex factors influencing tree stability is crucial for urban planners and arborists to mitigate storm- and wind-related risks. Collaborative planning and participatory management are essential for safeguarding both economic and environmental interests and ensuring the safety of vulnerable populations in outdoor spaces. Full article

(This article belongs to the Special Issue Feature Papers for Land Planning and Landscape Architecture Section)

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21 pages, 13326 KiB

Open AccessArticle

Analysis Methods for Landscapes and Features of Traditional Villages Based on Digital Technology—The Example of Puping Village in Zhangzhou

by Liangliang Wang, Yixin Wang, Wencan Huang and Jie Han

Land 2024, 13(9), 1539; https://doi.org/10.3390/land13091539 - 23 Sep 2024

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Abstract

Many traditional villages have been degraded to a certain extent due to urbanization and out-of-control management. In addition, due to the lack of recognition and continuation of spatial texture in some village conservation and planning that, in turn, resulting in the gradual disappearance [...] Read more.

Many traditional villages have been degraded to a certain extent due to urbanization and out-of-control management. In addition, due to the lack of recognition and continuation of spatial texture in some village conservation and planning that, in turn, resulting in the gradual disappearance of their distinctive landscape feature. Studying the spatial form of traditional villages helps preserve the authenticity of traditional villages as cultural landscape and inherits traditional historical characteristics. Using Puping Village in Zhangzhou City, Fujian Province as an example, this paper obtains the integrated information data of the village through UAV oblique photography, classifies and extracts the spatial constitution of the traditional village using digital technology, quantitatively analyses it from macroscopic to microscopic, and summarizes the spatial morphology analysis method of the traditional village. The results demonstrate that digital technology can effectively and accurately complete data collection and can provide an objective basis for zoning conservation of traditional villages based on the distinction between new and historic buildings. In addition, digital information collection on the traditional villages landscape features will prepare for the establishment of a database and comparative analysis in the future. We further suggest that digital technology analysis needs to be combined with traditional methods to have a deeper understanding of the formation process of village spatial morphology. The results of the practice in Puping Village show that the use of digital technology can provide a scientific basis for the protection and planning of traditional villages, and that this method is adaptable, which can help to efficiently collect and analyze data on landscape characteristics of other similar villages in China, and support innovative methodologies and technologies for China’s rural revitalization efforts. Full article

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21 pages, 4382 KiB

Open AccessArticle

Effects of Off-Farm Employment on the Eco-Efficiency of Cultivated Land Use: Evidence from the North China Plain

by Peng Zhang, Youxian Li, Xuefeng Yuan and Yonghua Zhao

Land 2024, 13(9), 1538; https://doi.org/10.3390/land13091538 - 23 Sep 2024

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Abstract

The effective allocation of labor and cultivated land resources to ensure food security is a global concern. Understanding the relationship between rural labor off-farm employment and the eco-efficiency of cultivated land use (ECLU) is critical, yet current research in this area remains insufficient. [...] Read more.

The effective allocation of labor and cultivated land resources to ensure food security is a global concern. Understanding the relationship between rural labor off-farm employment and the eco-efficiency of cultivated land use (ECLU) is critical, yet current research in this area remains insufficient. This study explores the dynamics between off-farm employment and ECLU using the North China Plain as a case study, analyzing panel data from 2001 to 2020 through spatial econometric models. The findings reveal significant temporal expansion and spatial differentiation in off-farm employment, with growth rates gradually slowing and spatial disparities diminishing. The average ECLU initially declined from 2001 to 2003, followed by fluctuating increases, with a notable acceleration in growth after 2017. A “U-shaped” relationship between off-farm employment and ECLU was identified, with a turning point at an off-farm employment ratio of 40.73%, occurring around 2003–2004 based on regional averages. Before this threshold, off-farm employment negatively impacted ECLU, while beyond this point, the impact became positive. The study also observed significant spatial spillover effects of off-farm employment on ECLU in the North China Plain. These findings underscore the complex interplay between rural labor migration and agricultural productivity. To maximize the benefits of off-farm employment, policies should encourage the reinvestment of income into sustainable agricultural practices. Furthermore, the significant spatial spillover effects call for enhanced regional coordination and tailored policy interventions to optimize labor allocation and improve ECLU. Full article

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24 pages, 12335 KiB

Open AccessArticle

Evolution of Resilience Spatiotemporal Patterns and Spatial Correlation Networks in African Regional Economies

by Daliang Jiang, Wanyi Zhu and Zhenke Zhang

Land 2024, 13(9), 1537; https://doi.org/10.3390/land13091537 - 23 Sep 2024

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Abstract

This paper comprehensively utilizes the entropy-TOPSIS method, Lyapunov index, and kernel density estimation to measure the spatiotemporal evolution characteristics of regional economic resilience in 52 African countries (regions) from 2008 to 2019. It also examines the spatial network characteristics of regional economic resilience [...] Read more.

This paper comprehensively utilizes the entropy-TOPSIS method, Lyapunov index, and kernel density estimation to measure the spatiotemporal evolution characteristics of regional economic resilience in 52 African countries (regions) from 2008 to 2019. It also examines the spatial network characteristics of regional economic resilience in each country (region) through gravity models and social network analysis. The findings reveal that: (1) Although the resilience of African regional economies fluctuates, it generally shows an improving trend. Traditional economic powers and regional giants such as Libya, Nigeria, South Africa, Egypt, Morocco, and Tunisia demonstrate outstanding performance in economic resilience. (2) In terms of scale resilience, the countries along the North African Mediterranean coast exhibit particularly prominent advantages. However, the overall performance of Africa in fiscal resilience and openness resilience tends to be weak. Industrial resilience is influenced by colonial legacies and tends to stabilize. (3) The differences in economic resilience values and the fluctuation trajectories of economic resilience levels converge. North African economies exhibit resilience far higher than the mean and other regions, while East, West, and Central Africa consistently perform below the mean in the long term. Southern Africa’s gap from the mean is relatively small, leading to a stalemate. The fluctuation amplitude of differences within each region varies. (4) The overall level of resilience in African regional economies has steadily improved, displaying a trend of polarization. There is evident spatial polarization in West Africa, with Southern Africa demonstrating a trend of multipolarity transitioning towards bipolarity. Conversely, North Africa strengthens its features of bipolar differentiation, while East and Central Africa exhibit tendencies towards multipolarity. (5) Despite some fluctuations in the spatial network of regional economic resilience around 2016, connections among African countries have become increasingly tight, gradually forming three major spatial correlation network clusters: the North African Mediterranean coast, the West–Central African Pan-Gulf of Guinea region, and the East–South African Rift Valley region. Nigeria holds a prominent position as a regional core. Zambia, Cameroon, and the Central African Republic have played certain regional core roles at different times. Nigeria and South Africa also demonstrate significant intermediary roles, while Zambia, Cameroon, and Burkina Faso act as bridges in different periods of network connections. Based on the characteristics of spatial correlation networks, African regions gradually form four major cohesive subgroups and eight sub-subgroups. Full article

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24 pages, 9803 KiB

Open AccessArticle

Exploring Multi-Sensory Approaches for Psychological Well-Being in Urban Green Spaces: Evidence from Edinburgh’s Diverse Urban Environments

by Siruo Qu and Ruochen Ma

Land 2024, 13(9), 1536; https://doi.org/10.3390/land13091536 - 22 Sep 2024

Viewed by 1558

Abstract

Urban green spaces are crucial for alleviating psychological stress, but the effect of multi-sensory experiences on psychological restoration remains underexplored. This study, conducted in Edinburgh, Scotland, with 40 participants, compares the effects of walking and sitting in different urban environments—built environments, semi-natural green [...] Read more.

Urban green spaces are crucial for alleviating psychological stress, but the effect of multi-sensory experiences on psychological restoration remains underexplored. This study, conducted in Edinburgh, Scotland, with 40 participants, compares the effects of walking and sitting in different urban environments—built environments, semi-natural green spaces, and natural green spaces—on psychological restoration. The results reveal that while sensory quality positively correlates with psychological well-being, sensory perception and variety do not always have a positive effect on restoration. Moreover, supplementing visual and hearing experiences with tactility and smell in urban green spaces is more effective in reducing stress and enhancing overall well-being, particularly in terms of vitality, which is largely affected by non-visual sensory inputs. This study highlights the importance of creating balanced sensory environments in urban green spaces, integrating a variety of sensory experiences to maximize psychological benefits. These findings provide valuable insights for urban planners and designers aiming to optimize green spaces for enhanced mental health and overall quality of life. Full article

(This article belongs to the Special Issue Green Space Planning, Design and Governance for Enhanced Human Wellbeing (Second Edition))

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20 pages, 7612 KiB

Open AccessArticle

Heritage Value Assessment and Landscape Preservation of Traditional Chinese Villages Based on the Daily Lives of Local Residents: A Study of Tangfang Village in China and the UNESCO HUL Approach

by Junjun Li, Jin Wang and Xun Li

Land 2024, 13(9), 1535; https://doi.org/10.3390/land13091535 - 22 Sep 2024

Viewed by 1010

Abstract

Traditional Chinese villages, recognized as national heritage sites, are invaluable cultural assets. Since 2012, efforts have focused on their preservation, though issues remain such as prioritizing authenticity over usability and material over cultural elements. This paper adopts the Historic Urban Landscape (HUL) approach, [...] Read more.

Traditional Chinese villages, recognized as national heritage sites, are invaluable cultural assets. Since 2012, efforts have focused on their preservation, though issues remain such as prioritizing authenticity over usability and material over cultural elements. This paper adopts the Historic Urban Landscape (HUL) approach, emphasizing the integration of physical heritage with daily life to shift value assessment. The fundamental argument of this paper is that the HUL method can serve as a new tool for preserving the historical heritage and landscape of rural areas, particularly in the context of assessing and formulating preservation frameworks for traditional Chinese villages. Through the case study of Tangfang village’s new conservation plan, the research demonstrates that the value of traditional villages lies in the continuous interaction between daily activities and physical space, including landscape, functional, and spiritual dimensions. The study concludes that a preservation framework based on local residents’ daily lives ensures more effective heritage conservation and landscape preservation by addressing both material and human values. Full article

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16 pages, 3462 KiB

Open AccessArticle

Response of Hydrothermal Conditions to the Saturation Values of Forest Aboveground Biomass Estimation by Remote Sensing in Yunnan Province, China

by Yong Wu, Binbing Guo, Xiaoli Zhang, Hongbin Luo, Zhibo Yu, Huipeng Li, Kaize Shi, Leiguang Wang, Weiheng Xu and Guanglong Ou

Land 2024, 13(9), 1534; https://doi.org/10.3390/land13091534 - 22 Sep 2024

Viewed by 735

Abstract

Identifying the key climate variables affecting optical saturation values (OSVs) in forest aboveground biomass (AGB) estimation using optical remote sensing is crucial for analyzing OSV changes. This can improve AGB estimation accuracy by addressing the uncertainties associated with optical saturation. In this study, [...] Read more.

Identifying the key climate variables affecting optical saturation values (OSVs) in forest aboveground biomass (AGB) estimation using optical remote sensing is crucial for analyzing OSV changes. This can improve AGB estimation accuracy by addressing the uncertainties associated with optical saturation. In this study, Pinus yunnanensis forests and Landsat 8 OLI imagery from Yunnan were used as case studies to explain this issue. The spherical model was applied to determine the OSVs using specific spectral bands (Blue, Green, Red, Near-Infrared (NIR), and Short-Wave Infrared Band 2 (SWIR2)) derived from Landsat 8 OLI imagery. Canonical correlation analysis (CCA) uncovered the intricate relationships between climatic variables and OSV variations. The results reveal the following: (1) All Landsat 8 OLI spectral bands showed a negative correlation with the Pinus yunnanensis forest AGB, with OSVs ranging from 104.42 t/ha to 209.11 t/ha, peaking in the southwestern region and declining to the lowest levels in the southeastern region. (2) CCA effectively explained 93.2% of the OSV variations, identifying annual mean temperature (AMT) as the most influential climatic factor. Additionally, the mean temperature of the wettest quarter (MTQ) and annual precipitation (ANP) were significant secondary determinants, with higher OSV values observed in warmer, more humid areas. These findings offer important insights into climate-driven OSV variations, reducing uncertainty in forest AGB estimation and enhancing the precision of AGB estimations in future research. Full article

(This article belongs to the Special Issue Land-Based Greenhouse Gas Mitigation for Carbon Neutrality)

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24 pages, 9225 KiB

Open AccessArticle

The Environmental Legal Framework of Mexican Caribbean Dunes: A Retrospective Case Study of Vegetation and Coastal Dune Loss in the Sian Ka’an Biosphere Reserve

by Eloy Gayosso-Soto, Sergio Cohuo, Joan Alberto Sánchez-Sánchez, Laura Macario-González, Carmen Amelia Villegas-Sánchez, Alejandro Medina-Quej, Jorge Manuel Tello-Chan, Leopoldo Querubín Cutz-Pool and José Manuel Castro-Pérez

Land 2024, 13(9), 1533; https://doi.org/10.3390/land13091533 - 21 Sep 2024

Viewed by 2127

Abstract

The Mexican Caribbean coastal dune is protected by national and international environmental legislation. However, through permits, concessions and authorizations for changes in land use, the coastal dune has been fragmented or suppressed, mainly for touristic activities, causing a decline in protective and ecological [...] Read more.

The Mexican Caribbean coastal dune is protected by national and international environmental legislation. However, through permits, concessions and authorizations for changes in land use, the coastal dune has been fragmented or suppressed, mainly for touristic activities, causing a decline in protective and ecological ecosystem services. In this study, we evaluated the strength and weakness of Mexican legislation to protect the Caribbean coastal dune ecosystem and estimated the historical and current effects on coastal dune vegetation and dune geomorphology, associated with legal allowances of land use change in the Sian Ka’an Biosphere Reserve (SKBR). Legislation at the federal, state and local level were critically reviewed, and with remote sensing techniques and the Remotely Piloted Aircraft System (RPAS), we conducted a case study in the SKBR to estimate coastal dune vegetation alteration trends during the period 2011–2020 and modifications on the dune geomorphology associated with land use change allowances. At the federal (four laws), state (eight laws) and local (nine Local and Territorial Planning Programs (POEL and POET) levels, we found a lack of consensus and alignment between regulations, starting with a lack of definition of ecosystems subject to protection. For coastal dunes, none of them consider topography, ecological function and a way to identify it in the field, making the surveillance highly complex and favoring land use changes, the removal of vegetation and dune geomorphology alteration. Remote sensing techniques showed that areas with land use authorizations exhibit negative vegetation cover trends (Mann–Kendall <−0.4), indicating a decline in vegetation cover density that is mostly anthropogenically induced. The RPAS analysis demonstrated drastic alterations to complete elimination of the coastal dune geomorphology in areas with land use change. In the Mexican Caribbean, the loss of coastal dune and associated ecosystem by the lack of congruent legislation threatens the environmental stability of the coastal areas. Full article

(This article belongs to the Special Issue Policies, Programs and Tools for Conservation and Sustainability in Tropical Landscapes)

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27 pages, 10007 KiB

Open AccessArticle

The Impacts of Urban Population Growth and Shrinkage on the Urban Land Use Efficiency: A Case Study of the Northeastern Region of China

by Haoyang Kang, Meichen Fu, Haoran Kang, Lijiao Li, Xu Dong and Sijia Li

Land 2024, 13(9), 1532; https://doi.org/10.3390/land13091532 - 21 Sep 2024

Viewed by 1157

Abstract

In the context of rapid urbanization, urban population differentiation has become increasingly pronounced. Regional development strategies based on growth scenarios often lead to continuous expansion, regardless of urban population status. Such “one-size-fits-all” models exacerbate resource waste and negatively impact urban land use efficiency [...] Read more.

In the context of rapid urbanization, urban population differentiation has become increasingly pronounced. Regional development strategies based on growth scenarios often lead to continuous expansion, regardless of urban population status. Such “one-size-fits-all” models exacerbate resource waste and negatively impact urban land use efficiency (ULUE). This study aims to explore the mechanisms by which urban population growth and shrinkage (UPGS) affect ULUE, with the goal of enhancing ULUE and promoting sustainable urban development. We analyzed 34 prefecture-level cities in China’s three northeastern provinces. First, we identified UPGS using population data. We then employed a three-stage SBM-DEA model to measure ULUE from 2000 to 2020. Spatial analysis methods were used to examine the spatiotemporal characteristics and correlations between UPGS and ULUE. Additionally, mediating effect models and spatial Durbin models were utilized to empirically test the impact processes, mechanisms, and spatial heterogeneity. Our findings reveal that: (1) Over the past 20 years, urban population shrinkage in northeastern China has intensified, and significant regional disparities in urban development are evident. (2) Population growth positively influences ULUE, while population shrinkage inhibits its improvement. (3) Economic development, technological innovation, and industrial structure upgrading are key factors in enhancing ULUE in this region, while the impact of public services on ULUE varies significantly at different stages of urban development. (4) Economic development, technological innovation, and industrial structure upgrading exhibit spatial spillover effects, whereas public services are constrained by regional limitations, resulting in minimal spatial spillover effects. To foster coordinated regional development, this study proposes policy recommendations, including strengthening support for resource-dependent cities, optimizing the allocation of public resources, and promoting technological innovation and industrial diversification. Full article

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22 pages, 3154 KiB

Open AccessArticle

Leveraging Greenspace to Manage Urban Flooding: An Investigation of Nature-Based Solutions Implementation in U.S. Public Parks

by Jiayang Li and Ziyi Guo

Land 2024, 13(9), 1531; https://doi.org/10.3390/land13091531 - 21 Sep 2024

Viewed by 991

Abstract

Many cities are looking to adopt nature-based solutions (NBS) in greenspace to manage urban flooding and provide diverse co-benefits. Yet little research exists to inform the planning and design of park NBS. This study investigated NBS adoption in 58 public parks across major [...] Read more.

Many cities are looking to adopt nature-based solutions (NBS) in greenspace to manage urban flooding and provide diverse co-benefits. Yet little research exists to inform the planning and design of park NBS. This study investigated NBS adoption in 58 public parks across major U.S. cities, using a 2022 survey by the Trust for Public Lands and other secondary datasets. We developed a typology to conceptualize a wide range of park NBS into five high-level categories by size/capacity, location of the gray–green spectrum, and design objectives. We then employed this typology to explore how a park’s adopted NBS types may relate to its landscape and sociodemographic contexts. We found that the most used type of NBS in the studied parks was ECO (a typology we defined as conserving, restoring, or creating ecosystems to mitigate flooding through ecological processes and functions), while the least used NBS type was ENG (a typology we defined as imitating natural infiltration processes but having no living elements). Further, parks that adopted ECO had significantly higher percentages of greenspace in the surrounding, as well as higher flood risks. We also found notable—though not statistically significant—evidence of potential associations between the type of NBS implementation in a park and its nearby neighborhoods’ income level, poverty, and population racial and age compositions. Moreover, our findings indicated that park visitors were more privileged compared to residents living near a park. We concluded that park contextual factors deserve more explicit consideration in the planning and design of NBS and discussed key implications of this study for practice and future research around park NBS for urban flooding. Full article

(This article belongs to the Special Issue Landscape Architecture and Design in Urban and Peri-Urban Environment: 2nd Edition)

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25 pages, 10345 KiB

Open AccessArticle

Spatial–Temporal Evolution Characteristics and Driving Mechanism Analysis of the “Three-Zone Space” in China’s Ili River Basin

by Zhixian Jiang, Meihua Yang, Li Yang, Wenjing Su and Zhuojun Liu

Land 2024, 13(9), 1530; https://doi.org/10.3390/land13091530 - 21 Sep 2024

Viewed by 612

Abstract

The Ili River Basin (IRB) is located in the northwest of China. With its large-scale zone and abundant resources, it is believed to be a “wet island” and a biotic resource storehouse in the dry regions of Eurasia. The IRB has stable ecological [...] Read more.

The Ili River Basin (IRB) is located in the northwest of China. With its large-scale zone and abundant resources, it is believed to be a “wet island” and a biotic resource storehouse in the dry regions of Eurasia. The IRB has stable ecological conditions and abundant water resources, providing natural conditions for agricultural production and human settlements. With the population increasing and economic development advancing, the competition for land resources is becoming fierce, leading to some ecological problems in this region. Therefore, understanding the spatiotemporal changes and driving mechanisms of the “three-zone space” (TZS) in the IRB is of significant practical importance for promoting sustainable development and optimizing the territorial spatial pattern. This study first analyzes the characteristics and intensity of the TZS changes from 2000 to 2020. Then, it utilizes the optimized parameter Geodetector (OPGD) to analyze the driving mechanisms behind these changes. The results show the following. Firstly, the agricultural space (AS) increased by a total of 837.5 km², the urban space (US) increased by 519.64 km², and other ecological space (OES) increased by 1518.83 km². Green ecological space (GES) decreased by 2875.97 km². Secondly, intensity analysis indicated that the total TZS change in IRB was 11.07%. At the spatial-type level, the increased intensities of OES, US, and AS were active. In spatial transformation intensity, US and OES tended to transform into AS; AS tended to transform into US; and OES and GES had a mutual transformation tendency. Thirdly, AS converted into US around emerging cities like Khorgas and Cocodala. The conversion towards GES was scattered. The mutual conversion between OES and GES showed spatial distribution consistency, mainly occurring in the Borohoro ranges and the Halik ranges. Lastly, regarding the driving mechanisms, the evolution of US in the IRB was driven by social and economic factors. Location and climate factors accelerated agricultural development, facilitating the transformation of GES and OES into AS. Climate and economic factors played a crucial role in the scale of conversions between OES and GES. The findings can provide a basis for the governance and protection of the IRB, help to form a rational territorial spatial pattern, and offer scientific guidance for sustainable land management. Full article

(This article belongs to the Section Land Environmental and Policy Impact Assessment)

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23 pages, 2098 KiB

Open AccessArticle

The Effects of Public Spaces on People’s Experiences and Satisfaction in Taif City: A Cross-Sectional Study

by Raghad Halawani

Land 2024, 13(9), 1529; https://doi.org/10.3390/land13091529 - 21 Sep 2024

Viewed by 877

Abstract

Public places play a central role in shaping positive and negative human experiences. They have a profound impact on people’s lives, affecting their sense of place, well-being, and overall quality of life. While public spaces have such an impact, little is known about [...] Read more.

Public places play a central role in shaping positive and negative human experiences. They have a profound impact on people’s lives, affecting their sense of place, well-being, and overall quality of life. While public spaces have such an impact, little is known about their effects on the overall experiences of people in Saudi cities. Particularly, in Saudi Arabia, the form of public spaces has rapidly evolved and changed in recent years. Therefore, this study examined the impact of urban public spaces on people’s experiences, aiming to assess satisfaction levels within the broader context of urban life in Saudi Arabia. Specifically, it investigated the correlation between the public spaces and individuals’ perceptions and feelings toward the environment of Taif city. Taif is one of the key cities in Saudi Arabia targeted for significant improvements in quality of life as part of the 2030 vision. Therefore, it is important to study the effects on the residents there. The method used in the study involved quantitative data collected through a survey of 384 participants from Taif, which included questions measuring multiple aspects of the quality of urban public life, including the safety, walkability, social interaction, and functionality of public spaces. The results indicate that people in Taif would face a jeopardised level of satisfaction, as not all elements of the public spaces meet the desired standards. Therefore, their experiences would be impacted negatively if the noted concerns are not addressed. By identifying key urban design elements that impact people’s experiences and overall well-being, this research provides a foundation for planners and policymakers to work towards achieving the Saudi vision of creating more liveable and enduring urban environments in Saudi Arabian cities. Full article

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27 pages, 29244 KiB

Open AccessArticle

The Impact of Urbanization on Surface Runoff and Flood Prevention Strategies: A Case Study of a Traditional Village

by Jiaxin Li, Wuzhong Zhou and Cong Tao

Land 2024, 13(9), 1528; https://doi.org/10.3390/land13091528 - 21 Sep 2024

Viewed by 623

Abstract

Increasingly severe flooding disasters have caused heavy casualties and property losses worldwide. Traditional Chinese villages that rarely experienced flooding disasters in the past have begun to frequently suffer from floods due to unreasonable reconstruction activities such as ground hardening and pond filling caused [...] Read more.

Increasingly severe flooding disasters have caused heavy casualties and property losses worldwide. Traditional Chinese villages that rarely experienced flooding disasters in the past have begun to frequently suffer from floods due to unreasonable reconstruction activities such as ground hardening and pond filling caused by urbanization. However, previous studies on hydrological changes and flood disasters caused by reconstruction activities in rural areas are scarce, especially lacking in quantitative analysis and research. In this study, the Storm Water Management Model (SWMM) is used to construct two hydrological models before and after the reconstruction of Hezhai Village, a traditional Chinese village. By simulating and comparing the changes in hydrological indicators of the two models, this study quantitatively analyzes how reconstruction activities caused changes in surface runoff and flooding disasters in Hezhai Village. The results show that the increase in the impervious ratio in the village has obvious effects on the total runoff, peak runoff, and runoff coefficient. And the reconstruction of ponds and canals has a notable impact on flooding. This study further delves into the logic of flooding at ponds and ordinary nodes and analyzes the specific reasons for flooding in Hezhai Village. Based on this, the paper provides recommendations for the optimization of the reconstruction of Hezhai Village. Full article

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

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25 pages, 24770 KiB

Open AccessArticle

Wetlands Mapping and Monitoring with Long-Term Time Series Satellite Data Based on Google Earth Engine, Random Forest, and Feature Optimization: A Case Study in Gansu Province, China

by Jian Zhang, Xiaoqian Liu, Yao Qin, Yaoyuan Fan and Shuqian Cheng

Land 2024, 13(9), 1527; https://doi.org/10.3390/land13091527 - 20 Sep 2024

Viewed by 879

Abstract

Given global climate change and rapid land cover changes due to human activities, accurately identifying, extracting, and monitoring the long-term evolution of wetland resources is profoundly significant, particularly in areas with fragile ecological conditions. Gansu Province, located in northwest China, contains all wetland [...] Read more.

Given global climate change and rapid land cover changes due to human activities, accurately identifying, extracting, and monitoring the long-term evolution of wetland resources is profoundly significant, particularly in areas with fragile ecological conditions. Gansu Province, located in northwest China, contains all wetland types except coastal wetlands. The complexity of its wetland types has resulted in a lack of accurate and comprehensive information on wetland changes. Using Gansu Province as a case study, we employed the GEE platform and Landsat time-series satellite data, combining high-quality sample datasets with feature-optimized multi-source feature sets. The random forest algorithm was utilized to create wetland classification maps for Gansu Province across eight periods from 1987 to 2020 at a 30 m resolution and to quantify changes in wetland area and type. The results showed that the wetland mapping method achieved robust classification results, with an average overall accuracy (OA) of 96.0% and a kappa coefficient of 0.954 across all years. The marsh type exhibited the highest average user accuracy (UA) and producer accuracy (PA), at 96.4% and 95.2%, respectively. Multi-source feature aggregation and feature optimization effectively improve classification accuracy. Topographic and seasonal features were identified as the most important for wetland extraction, while textural features were the least important. By 2020, the total wetland area in Gansu Province was 10,575.49 km², a decrease of 4536.86 km² compared to 1987. The area of marshes decreased the most, primarily converting into grasslands and forests. River, lake, and constructed wetland types generally exhibited an increasing trend with fluctuations. This study provides technical support for wetland ecological protection in Gansu Province and offers a reference for wetland mapping, monitoring, and sustainable development in arid and semi-arid regions. Full article

(This article belongs to the Special Issue Monitoring and Simulation of Wetland Ecological Processes (Second Edition))

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18 pages, 4389 KiB

Open AccessArticle

Balancing Economic Growth, Carbon Emissions, and Sequestration: A Multi-Objective Spatial Optimization in Zhengzhou Metropolitan Area in China

by Mengze Fu, Kangjia Ban, Li Jin and Di Wu

Land 2024, 13(9), 1526; https://doi.org/10.3390/land13091526 - 20 Sep 2024

Viewed by 809

Abstract

As China’s “Dual Carbon” strategy is implemented and the new urbanization advances, balancing economic development, emission reduction, and carbon sequestration has become an important issue during the growth of emerging metropolitan areas, and it is also important for achieving high-quality urban development. Therefore, [...] Read more.

As China’s “Dual Carbon” strategy is implemented and the new urbanization advances, balancing economic development, emission reduction, and carbon sequestration has become an important issue during the growth of emerging metropolitan areas, and it is also important for achieving high-quality urban development. Therefore, this study had three major objective functions: economic growth, carbon emission reduction, and increased carbon storage. The multi-objective land use quantity structure was solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and the best solution in the solution set was introduced using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for evaluation. Finally, combined with the Future Land Use Simulation (FLUS) model, the low-carbon evolution of the metropolitan area was predicted on a spatial scale. The trade-off plan results show that by 2035, the economic benefits will reach CNY 7.65 trillion, carbon emissions will be kept under 99.24 million tons, and carbon storage will steadily increase by 15.2 million tons. Therefore, optimizing land use from the perspective of balancing carbon emissions, carbon sequestration, and economic development can provide valuable references for planning low-carbon development and the rational use of spatial resources in future metropolitan areas. Full article

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17 pages, 16785 KiB

Open AccessArticle

Navigating the Currents: Land Use Challenges Amidst Water and Food Security Debates and Social Media Misperceptions

by Nadejda Komendantova, Hossein Hassani, Mohammad Reza Yeganegi, Ahmed Al Salaymeh and Louy Qoaider

Land 2024, 13(9), 1525; https://doi.org/10.3390/land13091525 - 20 Sep 2024

Viewed by 647

Abstract

This research aims to understand the complexities of energy deployment requiring nexus governance solutions. Nexus governance involves coordinating decision-making across policy areas and sectors, seeking compromise among stakeholders with varying positions. The challenge lies in coordinating diverse sectors and stakeholders amidst potentially conflicting [...] Read more.

This research aims to understand the complexities of energy deployment requiring nexus governance solutions. Nexus governance involves coordinating decision-making across policy areas and sectors, seeking compromise among stakeholders with varying positions. The challenge lies in coordinating diverse sectors and stakeholders amidst potentially conflicting priorities and interests. Moreover, social media significantly influence stakeholders’ perceptions and actions, serving as a platform for idea exchange and mobilization but also contributing to echo chambers and polarization. This study examines the impact of social media on perceptions of the oil shale project in Al Attarat, Jordan, focusing on the intersections of social, economic, and environmental concerns. The findings highlight that social media significantly influences public discourse, often skewing perceptions with misperceptions about land use, water, and food security. Analyzing key social media narratives reveals that food security is a primary concern, with energy and water security also gaining attention, though less prominently. Furthermore, misinformation has exacerbated tensions among stakeholders, leading to polarized views and resistance to proposed governance solutions. This research underscores the need for effective strategies to counter misinformation and promote informed dialogue. Full article

(This article belongs to the Special Issue Balancing Ecosystems and Renewable Energy in Landscapes)

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19 pages, 4166 KiB

Open AccessArticle

Assessing Uneven Regional Development Using Nighttime Light Satellite Data and Machine Learning Methods: Evidence from County-Level Improved HDI in China

by Xiping Zhang, Jianbin Xu, Saiying Zhong and Ziheng Wang

Land 2024, 13(9), 1524; https://doi.org/10.3390/land13091524 - 20 Sep 2024

Viewed by 898

Abstract

Uneven regional development has long been a focal issue for both academia and policymakers, with numerous studies over the past decades actively engaging in discussions on measuring regional development disparities. Generally, most existing studies measure the Human Development Index (HDI) using relatively simple [...] Read more.

Uneven regional development has long been a focal issue for both academia and policymakers, with numerous studies over the past decades actively engaging in discussions on measuring regional development disparities. Generally, most existing studies measure the Human Development Index (HDI) using relatively simple indicators, with a focus on national and provincial scales. As a crucial component of regional development, counties can directly reflect the regional characteristics of socio-economic progress. This study employs a multi-dimensional approach to develop an improved Human Development Index (improved HDI) system, using machine learning techniques to establish the relationship between nighttime light (NTL) data and the improved HDI. Subsequently, NTL data are utilized to infer the spatial distribution characteristics of the improved HDI across China’s county-level regions. The improved HDI for county-level areas in the Ningxia Hui Autonomous Region was validated using a machine learning model, resulting in a Pearson correlation coefficient of 0.93. The adjusted R-squared value for the linear fit was 0.86, and the residuals were relatively balanced, ensuring the accuracy of the simulations. This study reveals that 1439 county-level units, representing 50% of all county-level units in China, have development levels at or above the medium level. At the provincial and national levels, the improved HDI shows significant clustering, characterized by a multi-center pattern with declining diffusion. The spatial distribution of the improved Human Development Index remains closely associated with the natural geographic background and socio-economic development levels of the county regions. Lower HDI values are predominantly found in the inland areas of central and western China, often in ecologically sensitive areas, inter-provincial border zones, and mountainous regions of mainland China, sometimes forming contiguous distribution patterns. This underscores the need for the government and society to focus more on these specific geographic development areas, promoting continuous improvements in health, education, and living standards to achieve coordinated regional development. Full article

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

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29 pages, 27855 KiB

Open AccessArticle

The Influence of Urban Design Performance on Walkability in Cultural Heritage Sites of Isfahan, Iran

by Hessameddin Maniei, Reza Askarizad, Maryam Pourzakarya and Dietwald Gruehn

Land 2024, 13(9), 1523; https://doi.org/10.3390/land13091523 - 19 Sep 2024

Viewed by 1368

Abstract

This research explores the impact of urban design performance qualities on pedestrian behavior in a cultural heritage site designated by UNESCO. The study employs a multi-method approach, including a questionnaire survey, empirical observation of pedestrian activities, and empirical axial line and visibility graph [...] Read more.

This research explores the impact of urban design performance qualities on pedestrian behavior in a cultural heritage site designated by UNESCO. The study employs a multi-method approach, including a questionnaire survey, empirical observation of pedestrian activities, and empirical axial line and visibility graph analysis using the space syntax technique. The first part of the study involved a questionnaire formatted as a polling sheet to gather expert assessments of spatial performance measures. The second part used a pilot survey to capture the perspectives of end users regarding the study’s objectives and their perceptions of the site. Pedestrian flow was observed using a technique called “gate counts”, with observations recorded as video clips during specific morning and afternoon periods across three pedestrian zones. The study also examined the behavioral patterns of pedestrians, including their movement patterns. Finally, the ArcGIS 10.3.1 software was employed to evaluate the reliability of the results. The main finding of this research is that pedestrian behavior and walkability in the historical areas are significantly influenced by landmark integration, wayfinding behavior, and the socio-economic functions of heritage sites. This study highlights the importance of using cognitive and syntactic analysis, community engagement, and historical preservation to enhance walkability, accessibility, and social interaction in heritage contexts. In addition, it identifies the need for improvements in urban design to address inconsistencies between syntactic maps and actual pedestrian flow, emphasizing the role of imageability and the impact of environmental and aesthetic factors on pedestrian movement. This research provides valuable insights for urban designers and planners, environmental psychologists, architects, and policymakers by highlighting the key elements that make urban spaces walkable, aiming to enhance the quality of public spaces. Full article

(This article belongs to the Special Issue Urban Landscape Transformation vs. Heritage)

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18 pages, 2698 KiB

Open AccessArticle

A Case Study on Children’s Accessibility in Urban Parks in Changsha City, China: Developing an Improved 2SFCA Method

by Yuhui Liao and Katsunori Furuya

Land 2024, 13(9), 1522; https://doi.org/10.3390/land13091522 - 19 Sep 2024

Viewed by 1030

Abstract

As countries develop, the challenge of providing access to the outdoors and nature increases. Consequently, recent environmental justice research has focused on measuring children’s access to parks. The results of these analyses better reflect differences in accessibility, but there are discrepancies between different [...] Read more.

As countries develop, the challenge of providing access to the outdoors and nature increases. Consequently, recent environmental justice research has focused on measuring children’s access to parks. The results of these analyses better reflect differences in accessibility, but there are discrepancies between different accessibility models. This study aims to explore child-friendly accessibility measures and proposes a supply–demand-improved two-step floating catchment area (2SFCA) method for estimating urban park accessibility based on children’s needs. The application of this improved 2SFCA method in Changsha City successfully identified areas with unequal park accessibility, offering valuable insights for urban planners, that can be used to promote equitable access to green spaces for all residents, especially children. The results demonstrate that park accessibility in Changsha City exhibits significant differences across various areas, with the lowest accessibility in the western part of Furong District, the northwestern part of Yuhua District, and the southern part of Tianxin District; while the highest accessibility is found in Yuelu District. The limited green space in the central business district of Changsha City, coupled with high population density, indicates a tension between green space planning and population density in the city’s central area. The study proposes that the primary challenge in current green space planning in Changsha is the rational allocation of green spaces to meet the needs of high-density populations within limited urban space. It provides a comprehensive and realistic perspective for understanding the accessibility and availability of green spaces for children, which can help urban planners develop effective policies to support children’s outdoor mobility, while considering equity. Full article

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25 pages, 9150 KiB

Open AccessSystematic Review

The Role of Social Inclusion in Restoring Communal Rangelands in Southern Africa: A Systematic Review of Approaches, Challenges, and Outcomes

by Mhlangabezi Slayi, Leocadia Zhou, Kgabo Humphrey Thamaga and Patrick Nyambo

Land 2024, 13(9), 1521; https://doi.org/10.3390/land13091521 - 19 Sep 2024

Cited by 1 | Viewed by 1072

Abstract

Rangeland restoration in southern Africa faces complex challenges that require the involvement of diverse social groups to ensure both ecological and social sustainability. This systematic review focuses on the role of social inclusion in rangeland restoration across multiple countries in the region, specifically [...] Read more.

Rangeland restoration in southern Africa faces complex challenges that require the involvement of diverse social groups to ensure both ecological and social sustainability. This systematic review focuses on the role of social inclusion in rangeland restoration across multiple countries in the region, specifically examining the engagement of marginalized groups such as women, youth, and indigenous communities. We conducted a comprehensive search using the PRISMA approach, utilizing Scopus and other literature sources. Initially, we found 853 articles published between 2000 and 2024, which were subsequently screened down to 20 studies that met stringent inclusion criteria. This review identifies key strategies and outcomes associated with social inclusion in restoration efforts. Our findings reveal that participatory planning, gender-inclusive strategies, indigenous engagement, and capacity building are crucial for gaining community support, promoting social equity, and enhancing ecological resilience. However, challenges such as power dynamics, cultural norms, and resource constraints often impede the full realization of these inclusive practices. Despite these barriers, integrating local and indigenous knowledge and empowering marginalized groups significantly strengthens governance structures and leads to more sustainable restoration outcomes. Our review highlights the necessity of adopting holistic and inclusive approaches in rangeland restoration where social inclusion is not just a component but a central pillar of successful ecological management. It emphasizes the importance of social inclusion in the restoration of communal rangelands in southern Africa and provides insights into the approaches used, challenges faced, and outcomes achieved in incorporating social inclusion in rangeland restoration efforts. Our findings underscore the significance of collaborative efforts and social inclusion among local communities, policymakers, and stakeholders to achieve the sustainable restoration of communal rangelands in southern Africa. Full article

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

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18 pages, 925 KiB

Open AccessArticle

An Investigation into the Mechanism of Government Embedment and Organizational Environment Influencing Farmers’ Credible Commitment in Regard to the Collective Governance of Rural Residential Land

by Zhongjian Yang, Hong Tang, Jiafang Jin and Ruiping Ran

Land 2024, 13(9), 1520; https://doi.org/10.3390/land13091520 - 19 Sep 2024

Viewed by 492

Abstract

The purpose of this study is to investigate the influence of Government Embedment and Organizational Environment on farmers’ Credible Commitment in regard to the Collective Governance of Rural Residential Land and to inform decision-making processes that promote farmers’ compliance with Rural Residential Land [...] Read more.

The purpose of this study is to investigate the influence of Government Embedment and Organizational Environment on farmers’ Credible Commitment in regard to the Collective Governance of Rural Residential Land and to inform decision-making processes that promote farmers’ compliance with Rural Residential Land management regulations and enhance the effectiveness of the Collective Governance of Rural Residential Land. The research employs various models, including Oprobit, Ologit, IV-2SLS, and moderated mediation. The research results show that (1) both Government Embedment and the Cultural Environment within the Organizational Context significantly enhance Farmers’ Credible Commitment in regard to the Collective Governance of Rural Residential Land. Notably, the quality of the Cultural Environment, when improved by Government Embedment, boosts this commitment further. (2) Endogeneity issues can lead to an overestimation of the effects of these factors. (3) Punishment intensity only positively moderates the impact of the Cultural Environment on Farmers’ Credible Commitment. (4) The moderating effect of punishment intensity correlates positively with its strength, exhibiting a threshold value. In conclusion, our research underscores the need to establish a robust regulatory framework for Rural Residential Land use, foster a conducive village cultural atmosphere, and consistently enhance the punishment intensity for illegal Rural Residential Land use. These measures will encourage farmers to adhere to Credible Commitment in regard to Rural Residential Land use, thereby facilitating the effective implementation of Collective Governance over Rural Residential Land. Full article

(This article belongs to the Special Issue Land Use and Food Security in China's Urbanizing Regions: Problems and Possibilities)

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23 pages, 771 KiB

Open AccessArticle

A Non-Compensatory Index of Community Participation in Cross-Border Tourism Development Processes

by Annalisa Stacchini, Andrea Guizzardi and Sergio Brasini

Land 2024, 13(9), 1519; https://doi.org/10.3390/land13091519 - 19 Sep 2024

Viewed by 1126

Abstract

We propose a composite index to measure and benchmark community participation in cross-border tourism development processes. The index synthesizes information regarding three dimensions of this construct, deemed as very important by the extant literature: residents’ engagement in the planning process and willingness to [...] Read more.

We propose a composite index to measure and benchmark community participation in cross-border tourism development processes. The index synthesizes information regarding three dimensions of this construct, deemed as very important by the extant literature: residents’ engagement in the planning process and willingness to proactively welcome tourists and provide tourist services directly through sharing-economy platforms. The latter aspect is crucial to develop a local tourist supply able to combine environmental sustainability and financial feasibility in marginal areas, where public funding is scarce and private investments are unprofitable. This study offers a methodological innovation using response rates to open-ended questions to measure residents’ engagement in tourism planning. By applying the ELECTRE III algorithm, which is non-compensatory and ensures reliability in the presence of a high degree of uncertainty, survey information is aggregated in a single figure, which can be easily interpreted by destination managers and policymakers. After COVID-19, in readying for the next pandemic, decision makers should find our index as a very relevant and useful tool for tourism recovery and innovation planning, including compliance with measures to prevent the spread of future infections. We apply the proposed index to ten Croatian and Italian lands involved in a European development project. Data were collected through face-to-face interviews with residents, according to an availability sampling design. We obtained 879 valid questionnaires. The robustness of the resulting index is tested through an uncertainty and a sensitivity analysis. Full article

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18 pages, 13052 KiB

Open AccessArticle

Multi-Scenario Simulation of Land-Use/Land-Cover Changes and Carbon Storage Prediction Coupled with the SD-PLUS-InVEST Model: A Case Study of the Tuojiang River Basin, China

by Qi Wang, Wenying Zhang, Jianguo Xia, Dinghua Ou, Zhaonan Tian and Xuesong Gao

Land 2024, 13(9), 1518; https://doi.org/10.3390/land13091518 - 19 Sep 2024

Viewed by 1036

Abstract

Land-use and land-cover changes (LUCCs) significantly impact carbon sequestration by modifying the structure and function of terrestrial ecosystems. This study utilized GIS and remote sensing techniques to forecast future LUCC patterns and their influence on regional carbon budgets, which is essential for sustainable [...] Read more.

Land-use and land-cover changes (LUCCs) significantly impact carbon sequestration by modifying the structure and function of terrestrial ecosystems. This study utilized GIS and remote sensing techniques to forecast future LUCC patterns and their influence on regional carbon budgets, which is essential for sustainable development. We devised a coupled system dynamics (SD) model integrated with a patch-generating land-use simulation (PLUS) model to simulate LUCCs under diverse future scenarios using multisource environmental data. Additionally, the InVEST model was employed to quantify carbon storage in terrestrial ecosystems. By establishing three scenarios—ecological priority (EP), highly urbanized (HU), and coordinated development (CD)—this study’s aim was to predict the LUCC patterns and carbon storage distribution of the Tuojiang River Basin (TRB), China, up to 2035. The results showed that (1) from 2000 to 2020, significant LUCCs occurred in the TRB, primarily involving the conversion of cultivated land into construction areas and forestland; (2) LUCCs had a substantial impact on carbon storage in the TRB, with the EP scenario demonstrating the highest carbon storage by 2035 due to extensive forest expansion, while the HU scenario indicated a decline in carbon storage associated with rapid urbanization; and (3) the mountainous regions of the TRB, dominated by forestland, consistently exhibited higher carbon storage, whereas the Chengdu Plain region in the upper basin displayed the lowest. In conclusion, we recommend prioritizing the CD scenario in future development strategies to balance economic growth with ecological protection while simultaneously enhancing carbon storage. Our findings offer valuable insights to shape future LUCC policies in the Tuojiang River Basin, underscoring the adaptability of the coupled model approach to a wide range of geographic scales and contexts. Full article

(This article belongs to the Special Issue Sustainable Land Use under the Target of Carbon Peaking and Carbon Neutralization)

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14 pages, 6462 KiB

Open AccessArticle

The Variation in Boulder Bars Triggered by the 2018 Sedongpu Natural Dam Failure in the Yarlung Tsangpo River

by Xiangang Jiang, Xinlin Xie, Zhehao Guo, Anders Wörman, Xingrong Liu, Weiming Liu and Yiqin Xie

Land 2024, 13(9), 1517; https://doi.org/10.3390/land13091517 - 19 Sep 2024

Viewed by 631

Abstract

Natural dams are formed most often in narrow, steep valleys in high mountains. The outburst floods triggered by natural dam failures result in the topography and landforms successively being altered. Boulder bars are common natural structures that are selected here to quantitatively evaluate [...] Read more.

Natural dams are formed most often in narrow, steep valleys in high mountains. The outburst floods triggered by natural dam failures result in the topography and landforms successively being altered. Boulder bars are common natural structures that are selected here to quantitatively evaluate the impact of outburst floods on the topographical and landform variations in downstream channels. In this study, we selected the Sedongpu natural dam on the Yarlung Tsangpo River formed as a result of a landslide in 2018 as an example, and studied the geomorphological changes in a river reach located 173 km downstream of the Sedongpu natural dam. The sizes and shapes of the boulder bars in this area were statistically analyzed. The results show that there are three shape types of boulder bars in this area, i.e., sickle, bamboo leaf and oval. Furthermore, it found that the relationship between the lengths and widths of boulder bars is similar before and after outburst floods, as is the relationship between perimeters and lengths of boulder bars, which means these relationships are not affected by outburst floods. And the perimeters of boulder bars are almost twice their lengths. In addition, the relationship between the areas and lengths of boulder bars follows a power function. The most important finding is that the riverine morphological features conserved self-similarity due the influence of the outburst flood erosion triggered by a natural dam failure. This finding adds to the previous observations since dam failures introduce sudden and dominating impacts on river systems. Full article

(This article belongs to the Topic Landslides and Natural Resources)

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28 pages, 1593 KiB

Open AccessArticle

The Impact of Green Finance on Agricultural Non-Point Source Pollution: Analysis of the Role of Environmental Regulation and Rural Land Transfer

by Guobin Geng, Yang Shen and Chenguang Dong

Land 2024, 13(9), 1516; https://doi.org/10.3390/land13091516 - 19 Sep 2024

Viewed by 922

Abstract

This study evaluates the impact of green finance on agricultural non-point source pollution control and emission reduction in 30 Chinese provinces from 2005 to 2022. Utilizing the entropy value method and the unit survey inventory method, the research measures the levels of green [...] Read more.

This study evaluates the impact of green finance on agricultural non-point source pollution control and emission reduction in 30 Chinese provinces from 2005 to 2022. Utilizing the entropy value method and the unit survey inventory method, the research measures the levels of green finance development and agricultural non-point source pollution. It employs a mediation effect model to empirically assess the pollution control efficacy of green finance and to elucidate the mechanisms underlying its influence. The findings indicate that green finance development significantly curtails agricultural non-point source pollution emissions. This conclusion is still valid after a series of robustness tests. The results of mechanism analysis show that environmental regulation and land transfer are important channels for green finance to reduce agricultural non-point source pollution. However, the slowing effect of green finance is stronger in provinces where the economic development level is still in the catch-up zone. Consequently, this study suggests strengthening green finance infrastructure in rural areas, coordinating green finance and environmental regulation policies, optimizing land transfer systems to promote scale management, and developing differentiated green finance policies based on regional economic development levels. These measures aim to augment the role of green finance in pollution treatment and emission reduction, thereby optimizing the green financial system, advancing environmental protection, and fostering sustainable development in China’s agricultural sector. Full article

(This article belongs to the Special Issue Agriculture, Forestry, Land Allocation and Environmental Sustainability)

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20 pages, 9878 KiB

Open AccessArticle

Emotional Perceptions of Thermal Comfort for People Exposed to Green Spaces Characterized Using Streetscapes in Urban Parks

by Benlu Xin, Chengfeng Zhu, Jingjing Geng and Yanqi Liu

Land 2024, 13(9), 1515; https://doi.org/10.3390/land13091515 - 18 Sep 2024

Cited by 1 | Viewed by 779

Abstract

Thermal comfort is a key determinant ruling the quality of urban park visits that is mainly evaluated by equivalent meteorological factors and lacks evidence about its relationship with emotional perception. Exposure to green space was believed to be an available approach to increase [...] Read more.

Thermal comfort is a key determinant ruling the quality of urban park visits that is mainly evaluated by equivalent meteorological factors and lacks evidence about its relationship with emotional perception. Exposure to green space was believed to be an available approach to increase thermal comfort, but this argument still needs verification to confirm its reliability. In this study, about ~15,000 streetscapes were photographed at stops along sidewalks and evaluated for green view index (GVI) and plant diversity index in five urban parks of Changchun, Northeast China. The faces of visitors were captured to analyze happy, sad, and neutral scores as well as two net positive emotion estimates. Meteorological factors of temperature, relative humidity, and wind velocity were measured at the same time for evaluating thermal comfort using equivalent variables of discomfort index (DI), temperature and humidity index (THI), and cooling power index (CP). At stops with higher GVI, lower temperature (slope: from −0.1058 to −0.0871) and wind velocity (slope: from −0.1273 to −0.0524) were found, as well as higher relative humidity (slope: from 0.0871 to 0.8812), which resulted in positive relationships between GVI and thermal comfort evaluated as DI (R² = 0.3598, p < 0.0001) or CP (R² = 0.3179, p < 0.0001). Sad score was positively correlated with THI (R² = 0.0908, p = 0.0332) and negatively correlated with CP (R² = 0.0929, p = 0.0294). At stops with high GVI, more positive emotions were shown on visitors’ faces (happy minus sad scores, 0.31 ± 0.10). Plant diversity had varied relationships with GVI in parks depending on age. Overall, our study demonstrated that using imagery data extracted from streetscapes can be useful for evaluating thermal comfort. It is recommended to plan a large amount of touchable nature provided by vegetation in urban parks so as to mitigate micro-climates towards a trend with more thermal comfort that evokes more positive emotions. Full article

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Land, Volume 13, Issue 9 (September 2024) – 208 articles

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