Journal Description
Land
Land
is an international and cross-disciplinary, peer-reviewed, open access journal on land system science, landscape, soil–sediment–water systems, urban study, land–climate interactions, water–energy–land–food (WELF) nexus, biodiversity research and health nexus, land modelling and data processing, ecosystem services, and multifunctionality and sustainability etc., published monthly online by MDPI. The International Association for Landscape Ecology (IALE), European Land-use Institute (ELI), Landscape Institute (LI) and Urban Land Institute (ULI) are affiliated with Land, and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SSCI (Web of Science), PubAg, AGRIS, GeoRef, RePEc, and other databases.
- Journal Rank: JCR - Q2 (Environmental Studies) / CiteScore - Q2 (Nature and Landscape Conservation)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 14.8 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
3.9 (2022);
5-Year Impact Factor:
4.0 (2022)
Latest Articles
Offshore Wind Farms and Tourism Development Relationship to Energy Distribution Justice for the Beibu Gulf, China
Land 2024, 13(5), 678; https://doi.org/10.3390/land13050678 (registering DOI) - 13 May 2024
Abstract
Energy distribution justice is of primary concern within the energy justice framework and it is crucial to increase public acceptance of offshore wind energy and further advance its development. The rapid development of offshore wind energy in China has inevitably impacted the livelihoods
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Energy distribution justice is of primary concern within the energy justice framework and it is crucial to increase public acceptance of offshore wind energy and further advance its development. The rapid development of offshore wind energy in China has inevitably impacted the livelihoods of coastal vulnerable groups (CVGs) engaged in fisheries and tourism in the coastal zone. While current policies often compensate for livelihood losses through cash payments, the fiscal strain caused by COVID-19 renders this approach unsustainable. Consequently, this research pioneers the exploration of Chinese tourist groups’ landscape preferences towards offshore wind farms (OWFs). This study proposes a new approach to enhance OWF landscapes for tourism development, thereby balancing the distribution of costs and benefits between CVGs and tourists. The research focuses on Beihai City in the Beibu Gulf Economic Region, utilizing a combination of Q-methodology and choice experiments that incorporates cut-offs. Answers to eighty Q-methodology questionnaires and 1324 choice experiment questionnaires are obtained. The findings indicate that this region can achieve energy distribution justice by compensating for the livelihood losses of CVGs through tourism. Contrary to traditional assumptions about wind farm noise preferences, Chinese tourists prefer proximity to OWFs, as an appropriate coastal acoustics landscape can enhance their tourism experience. In light of these findings, this paper presents policy recommendations towards energy distribution justice.
Full article
(This article belongs to the Special Issue Evolving Landscape Research: From Renewable Energy Landscapes to Future Frontiers)
Open AccessArticle
Has the Establishment of National Key Ecological Function Zones Improved Eco-Environmental Quality?—Evidence from a Quasi-Natural Experiment in 130 Counties in Sichuan Province, China
by
Yuanjie Deng, Lu Ming, Yifeng Hai, Hang Chen, Dingdi Jize, Ji Luo, Xiaohan Yan, Xiaolong Zhang, Shunbo Yao and Mengyang Hou
Land 2024, 13(5), 677; https://doi.org/10.3390/land13050677 (registering DOI) - 13 May 2024
Abstract
China’s National Key Ecological Function Zones (NKEFZs) currently represent the largest and most extensive ecological conservation policy in China, with one of the core objectives of this policy being to improve eco-environmental quality (EEQ). This study regards the establishment of NKEFZs as a
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China’s National Key Ecological Function Zones (NKEFZs) currently represent the largest and most extensive ecological conservation policy in China, with one of the core objectives of this policy being to improve eco-environmental quality (EEQ). This study regards the establishment of NKEFZs as a quasi-natural experiment. Based on panel data from 130 counties in Sichuan Province from 2001 to 2021, a multi-period difference-in-differences (DID) model was employed to evaluate the impact of NKEFZ establishment on EEQ. The findings indicate the following: ① The establishment of NKEFZs can significantly enhance the EEQ of the covered areas, albeit as a gradual long-term process. This conclusion not only meets the parallel-trends assumption but also holds true in a series of robustness tests such as placebo tests. ② Mechanism analysis reveals that NKEFZs can enhance EEQ through the effects of optimizing land spatial allocation and upgrading industrial structure. ③ Heterogeneity analysis demonstrates that the beneficial effect of NKEFZs on EEQ varies across different functional zone types, geographic spaces and ethnic regions. Our study not only contributes to the accumulation of empirical evidence and institutional refinement in the sustainable implementation of ecological policies in China but also offers valuable insights and references for other countries in formulating policies for eco-environmental protection.
Full article
(This article belongs to the Special Issue Modeling Biodiversity and Landscape Conservation Planning)
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Open AccessArticle
Farmland Rental Market, Outsourcing Services Market and Agricultural Green Productivity: Implications for Multiple Forms of Large-Scale Management
by
Heng Zhang and Xiangyu Guo
Land 2024, 13(5), 676; https://doi.org/10.3390/land13050676 (registering DOI) - 13 May 2024
Abstract
Large-scale management is the key to realizing long-term agricultural growth in smallholder countries. Land-scale management and service-scale management are two forms of agricultural large-scale management. The former is committed to changing the small-scale management pattern, but the latter tends to maintain it. There
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Large-scale management is the key to realizing long-term agricultural growth in smallholder countries. Land-scale management and service-scale management are two forms of agricultural large-scale management. The former is committed to changing the small-scale management pattern, but the latter tends to maintain it. There has been a lack of discussion and controversy about the relationship between the two. From the perspective of market maturity, this paper explores whether the two are complementary or mutually exclusive and how their complementary or mutually exclusive relationship affects agricultural green productivity. The results show the following: Land-scale management and service-scale management are complementary, not superficially contradictory. The benign interaction between the two has a consistent improvement effect on green productivity in both the short and long term, which has spatial spillovers appearing in the long term. The reasons are as follows: The farmland rental market can reverse the inhibitory effect of the current low-maturity outsourcing services market on green productivity. The outsourcing services market can delay the arrival of the inflection point beyond which expansion of farmland rental transactions reduces green productivity, and amplify the positive effect of farmland rental on it. Although the degree of benign interaction between the two forms of large-scale management has gradually increased in recent years, it is still low overall. Agricultural large-scale management in China is still in the stage driven by land-scale management. Smallholder countries such as China need not worry prematurely about which large-scale management path to take, and they should treat both forms of large-scale management with an equal perspective to accelerate the high-level interaction between them.
Full article
(This article belongs to the Special Issue Land Use Policy and Food Security)
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Open AccessArticle
Temporal and Spatial Response of Ecological Environmental Quality to Land Use Transfer in Nanling Mountain Region, China Based on RSEI: A Case Study of Longnan City
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Qiulin Xiong, Qingwen Hong and Wenbo Chen
Land 2024, 13(5), 675; https://doi.org/10.3390/land13050675 (registering DOI) - 13 May 2024
Abstract
Nanling Mountain region is a typical southern hilly region, which plays an important ecological and environmental protection role in China’s overall land protection pattern. Based on the remote sensing image data of Longnan City in Nanling Mountain region in 2013, 2018 and 2023,
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Nanling Mountain region is a typical southern hilly region, which plays an important ecological and environmental protection role in China’s overall land protection pattern. Based on the remote sensing image data of Longnan City in Nanling Mountain region in 2013, 2018 and 2023, this paper interpreted the land use type and analyzed the land use transfer situation by using land use transfer flow, and a land use transfer matrix. At the same time, based on the remote sensing ecological index (RSEI) model, the ecological environmental quality of Longnan City from 2013 to 2023 was retrieved. The temporal and spatial response model of the ecological environmental quality to land use transfer in Longnan City from 2013 to 2023 was discussed based on spatial autocorrelation and a geographical detector. The results show that from 2013 to 2023, the decrease of forest land (16.23 km2) and the increase of construction land (13.25 km2) were the main land use transfers in Longnan City. The ecological environment indexes of Longnan City in 2013, 2018 and 2023 were 0.789, 0.917 and 0.872, respectively, showing a trend of “first rising and then decreasing”. The ecological environmental quality in the north of Longnan City was significantly lower than that in the south, and the poor ecological quality area appeared in and around the northern main urban area, showing a trend of “inward contraction”. Forest land, garden land, grassland, cultivated land and water area have a positive impact on ecological environmental quality, while traffic land, construction land and other land have a negative impact on ecological environmental quality. The response of ecological environmental quality to different land use transfer modes is related to the change of the overall ecological environmental quality. The interaction between land use and land cover change (LUCC) and other factors had a great impact on the evolution of ecological environmental quality in Longnan City.
Full article
(This article belongs to the Section Land – Observation and Monitoring)
Open AccessArticle
Urban Waterfront Regeneration on Ecological and Historical Dimensions: Insight from a Unique Case in Beijing, China
by
Lulu Chen, Hong Leng, Jian Dai, Yi Liu and Ziqing Yuan
Land 2024, 13(5), 674; https://doi.org/10.3390/land13050674 (registering DOI) - 13 May 2024
Abstract
To address current ecological issues and a lack of historical preservation in Beijing’s waterfront, it has become necessary to establish an urban design project that optimizes these aspects. This study focuses on “Beijing’s Waterfront Overall Urban Design,” a project that integrates government requirements
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To address current ecological issues and a lack of historical preservation in Beijing’s waterfront, it has become necessary to establish an urban design project that optimizes these aspects. This study focuses on “Beijing’s Waterfront Overall Urban Design,” a project that integrates government requirements with Beijing’s waterfront urban design characteristics and problems to establish an urban layer system from two dimensions: historical and ecological. It explores how the urban layer system can be applied to Beijing’s overall waterfront urban design, from investigation to evaluation, analysis, visualization, and strategy development. First, an urban layer system for Beijing’s waterfront was established from a historical perspective, based on urban setting and construction stages and space utilization, referring to the literature and field surveys. The evolution of urban layers of waterbodies, the water–city relationship, and water functions was systematically analyzed. Second, an urban layer system was established for the ecological dimension of Beijing’s waterfront based on a literature review, expert interviews, and analytic hierarchy process methods. It included four urban layers: waterbody, greening, shoreline, and ecological function. The quality of the ecological urban design of 54 waterfront reaches in Beijing was evaluated using questionnaires and field surveys. Third, a series of urban layer maps was generated using the mapping method. Finally, urban design strategies were developed based on the combined historical and ecological characteristics and problems of Beijing’s waterfront. The results of this study and the concept of an urban layer system for waterfront urban design can benefit waterfront urban design projects and future studies.
Full article
(This article belongs to the Topic Ideas for Future Cities: Intelligent, Low-Carbon and Healthy)
Open AccessArticle
A New Approach to Landscape Visual Quality Assessment from a Fine-Tuning Perspective
by
Rong Fan, Yingze Chen and Ken P. Yocom
Land 2024, 13(5), 673; https://doi.org/10.3390/land13050673 (registering DOI) - 13 May 2024
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Various methods for evaluating the visual quality of landscapes have been continuously studied. In the era of the rapid development of big data, methods to obtain evaluation data efficiently and accurately have received attention. However, few studies have been conducted to optimize the
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Various methods for evaluating the visual quality of landscapes have been continuously studied. In the era of the rapid development of big data, methods to obtain evaluation data efficiently and accurately have received attention. However, few studies have been conducted to optimize the evaluation methods for landscape visual quality. Here, we aim to develop an evaluation model that is model fine-tuned using Scenic Beauty Evaluation (SBE) results. In elucidating the methodology, it is imperative to delve into the intricacies of refining the evaluation process. First, fine-tuning the model can be initiated with a scoring test on a small population, serving as an efficient starting point. Second, determining the optimal hyperparameter settings necessitates establishing intervals within a threshold range tailored to the characteristics of the dataset. Third, from the pool of fine-tuned models, selecting the one exhibiting optimal performance is crucial for accurately predicting the visual quality of the landscape within the study population. Lastly, through the interpolation process, discernible differences in landscape aesthetics within the core monitoring area can be visually distinguished, thereby reinforcing the reliability and practicality of the new method. In order to demonstrate the efficiency and practicality of the new method, we chose the core section of the famous Beijing–Hangzhou Grand Canal in Wujiang District, China, as a case study. The results show the following: (1) Fine-tuning the model can start with a scoring test on a small population. (2) The optimal hyperparameter setting intervals of the model need to be set in a threshold range according to different dataset characteristics. (3) The model with optimal performance is selected among the four fine-tuning models for predicting the visual quality of the landscape in the study population. (4) After the interpolation process, the differences in landscape aesthetics within the core monitoring area can be visually distinguished. We believe that the new method is efficient, accurate, and practically applicable for improving landscape visual quality evaluation.
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Open AccessArticle
The Impact of High-Standard Farmland Construction Policies on the Carbon Emissions from Agricultural Land Use (CEALU)
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Fangsheng Liu and Jian Lin
Land 2024, 13(5), 672; https://doi.org/10.3390/land13050672 (registering DOI) - 13 May 2024
Abstract
Agricultural activities are the second largest source of greenhouse gas emissions, and carbon emissions from agricultural land use (CEALU) have become a hot issue across the world. Although there are some studies on the impact of high-standard farmland construction policies on carbon emissions,
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Agricultural activities are the second largest source of greenhouse gas emissions, and carbon emissions from agricultural land use (CEALU) have become a hot issue across the world. Although there are some studies on the impact of high-standard farmland construction policies on carbon emissions, they focus on quantitative analysis and do not give sufficient consideration to the relationship between HSFC and CEALU. Therefore, in this study, by relying on provincial panel data of China for the period 2005–2017, the effect of the high-standard basic farmland construction policy on carbon emissions from agricultural land use per unit area and its regional differences were quantitatively analyzed using the difference-in-difference (DID) model. The results showed that: (1) China’s CEALU per unit area presented a fluctuating upward change, but the growth rate slowed down during the period 2005–2017, from 392.58 kg/ha to 457.72 kg/ha, with an average annual growth rate of 1.31%; (2) the high-standard farmland construction (HSFC) policy led a significant carbon emission reduction effect in agricultural land use and reduced the CEALU per unit area by 10.80% on average. With the promotion of this policy, its carbon emission reduction effect in agricultural land use presented an overall increasing change; (3) the carbon emission reduction effect of the high-standard farmland construction policy in agricultural land use was significant in central China, but non-significant in eastern China and western China.
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(This article belongs to the Special Issue Sustainable Land Use under the Target of Carbon Peaking and Carbon Neutralization)
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Open AccessArticle
Evaluation and Influential Factors of Urban Land Use Efficiency in Yangtze River Economic Belt
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Dongqing Han and Zhengxu Cao
Land 2024, 13(5), 671; https://doi.org/10.3390/land13050671 (registering DOI) - 13 May 2024
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The study of urban land use efficiency is of great significance for optimizing the spatial allocation of urban land, thereby promoting the intensive use of urban land and the transformation of economic development modes. Taking the Yangtze River Economic Belt (YREB) as the
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The study of urban land use efficiency is of great significance for optimizing the spatial allocation of urban land, thereby promoting the intensive use of urban land and the transformation of economic development modes. Taking the Yangtze River Economic Belt (YREB) as the study object, we chose the undesirable Slacks-Based Measure (SBM) model to calculate the urban land use efficiency (ULUE). Then, we utilized the spatial correlation analysis and econometric methods to discuss its spatio-temporal features and influential factors. The results show the following: (1) The urban land use efficiency in the YREB steadily improved from 2010 to 2022, but the inter-regional efficiency gap evidently increased. (2) There is an efficiency value to be found in a multi-center network structure, and it forms a “core-periphery” distribution pattern. The high-efficiency areas in the downstream and upstream regions of the YREB are gradually increasing, while the efficiency value in the midstream area remains low. (3) The urban efficiency values have strong correlation, and they are mainly “High-High agglomeration” and “Low-Low agglomeration”, and they show significant regional characteristics. (4) The economic level, industrial structure, and urbanization have obvious motivating effects on ULUE, and the positive spatial spillover effect is clear. The foreign direct investment and land finance hinder the boost of efficiency, and the latter has a negative spatial spillover role on the ULUE in the downstream cities.
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Open AccessArticle
Spatio-Temporal Evolution and Multi-Scenario Simulation of Non-Grain Production on Cultivated Land in Jiangsu Province, China
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Chengge Jiang, Lingzhi Wang, Wenhua Guo, Huiling Chen, Anqi Liang, Mingying Sun, Xinyao Li and Hichem Omrani
Land 2024, 13(5), 670; https://doi.org/10.3390/land13050670 (registering DOI) - 13 May 2024
Abstract
Cultivated land plays a crucial role as the basis of grain production, and it is essential to effectively manage the unregulated expansion of non-grain production (NGP) on cultivated land in order to safeguard food security. The study of NGP has garnered significant attention
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Cultivated land plays a crucial role as the basis of grain production, and it is essential to effectively manage the unregulated expansion of non-grain production (NGP) on cultivated land in order to safeguard food security. The study of NGP has garnered significant attention from scholars, but the prediction of NGP trends is relatively uncommon. Therefore, we focused on Jiangsu Province, a significant grain production region in China, as the study area. We extracted data on cultivated land for non-grain production (NGPCL) in 2000, 2005, 2010, 2015, and 2019, and calculated the ratio of non-grain production (NGPR) for each county unit in the province. On this basis, Kernel Density Estimation (KDE) and spatial autocorrelation analysis tools were utilized to uncover the spatio-temporal evolution of NGP in Jiangsu Province. Finally, the Patch-Generating Land Use Simulation (PLUS) model was utilized to predict the trend of NGP in Jiangsu Province in 2038 under the three development scenarios of natural development (NDS), cultivated land protection (CPS), and food security (FSS). After analyzing the results, we came to the following conclusions:(1) During the period of 2000–2019, the NGPCL area and NGPR in Jiangsu Province exhibited a general decreasing trend. (2) The level of NGP displayed a spatial distribution pattern of being “higher in the south and central and lower in the north”. (3) The results of multi-scenario simulation show that under the NDS, the area of NGPCL and cultivated land for grain production (GPCL) decreases significantly; under the CPS, the decrease in NGPCL and GPCL is smaller than that of the NDS. Under the FSS, NGPCL decreases, while GPCL increases. These results can provide reference for the implementation of land use planning, the delineation of the cultivated land protection bottom line, and the implementation of thee cultivated land use control system in the study area.
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(This article belongs to the Special Issue The Socio-Economic Values in Land Resource Management)
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Open AccessArticle
Institutional, Ecological, Economic, and Socio-Cultural Sustainability—Evidence from Ponjavica Nature Park
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Vladica Ristić, Igor Trišić, Snežana Štetić, Marija Maksin, Florin Nechita, Adina Nicoleta Candrea, Marko Pavlović and Andreea Hertanu
Land 2024, 13(5), 669; https://doi.org/10.3390/land13050669 (registering DOI) - 12 May 2024
Abstract
The Nature Park Ponjavica (NP) is the habitat of strictly protected plant and animal species, located in AP Vojvodina, in southern Banat (Northern Serbia). The area of the park covers 302,96 ha. Protection zones I, II, and III have been established in the
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The Nature Park Ponjavica (NP) is the habitat of strictly protected plant and animal species, located in AP Vojvodina, in southern Banat (Northern Serbia). The area of the park covers 302,96 ha. Protection zones I, II, and III have been established in the protected area of the NP. The NP includes the middle course of the Ponjavica River, which has preserved characteristics of watercourses of plain areas and coastal remains of wetland habitats. The most valuable area of this park in terms of protection is an island with an area of slightly less than 1 hectare. According to the IUCN (International Union for Conservation of Nature), the NP is classified as the fourth category—Habitat and species management area. The good geographical position of NP is one of its main characteristics. The NP can be a destination where specific forms of tourism can be developed, such as ecotourism, nature-based tourism, birdwatching, scientific and research tourism, etc. Numerous historical sites represent a significant potential for the development of cultural tourism. The research examined the influence of institutional, economic, ecological, and socio-cultural sustainability on the respondents’ satisfaction. The quantitative methodology in this research included a questionnaire as a survey instrument for respondents. A total of 547 residents were surveyed. The results of the research indicate that there is considerable satisfaction among residents with sustainable tourism. The results of the research can help in the development of numerous tourism development strategies in which the wetland is the primary resource.
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(This article belongs to the Special Issue Landscape Heritage: Geomorphology, Geoheritage and Geoparks)
Open AccessArticle
Spatial Distribution of Relationship between Historical Monuments and Tourism: The Case Study of Bihor County in Romania
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Grigore Vasile Herman, Lucian Blaga, Claudiu Filimon, Tudor Caciora, Luminița Filimon, Laura Mariana Herman and Jan A. Wendt
Land 2024, 13(5), 668; https://doi.org/10.3390/land13050668 (registering DOI) - 12 May 2024
Abstract
Tourism is one of the emerging branches of the economy, playing an important role in the development of specific economies within local communities. In this context, the perspectives of exploiting historical monuments, seen as raw material in the tourism industry, represent a desirable
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Tourism is one of the emerging branches of the economy, playing an important role in the development of specific economies within local communities. In this context, the perspectives of exploiting historical monuments, seen as raw material in the tourism industry, represent a desirable goal worth considering at the locality and territorial administrative unit level. The purpose of this study is to highlight the relationship between historical monuments, viewed as factors generating tourist motivation and tourism. This was made possible by conducting a spatial analysis (at the level of territorial administrative units and localities) of the defining criteria for historical monuments and tourism in Bihor County, Romania. The research methodology involved the use of multicriteria analysis to identify and establish the types of relationships between historical monuments and tourism, at a spatial level. The results of the study aimed to present an image of the spatial distribution of the characteristics of historical monuments and tourism, as well as to establish and depict spatial relationships between them, thus partially confirming the working hypothesis that the number and importance of historical monuments influence and determine tourist activity within a given area. Thus, although the studied area has 455 historical monuments, they are not exploited from a tourist point of view, with there being no strong relationships, except at the level of 19 territorial administrative units (18.8%), respectively, in 15 localities (3.3%). Among them, the obtained values stand out for the territorial administrative units of Oradea and Biharia, respectively, in the localities of Oradea and Beiuș.
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(This article belongs to the Special Issue Preservation, Reuse and Reveal of Cultural Heritage through Sustainable Land Management, Rural and Urban Development II)
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Open AccessArticle
Unraveling the Dynamic Relationship between Neighborhood Deprivation and Walkability over Time: A Machine Learning Approach
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Qian Wang, Guie Li and Min Weng
Land 2024, 13(5), 667; https://doi.org/10.3390/land13050667 (registering DOI) - 12 May 2024
Abstract
Creating a walkable environment is an essential step toward the 2030 Sustainable Development Goals. Nevertheless, not all people can enjoy a walkable environment, and neighborhoods with different socioeconomic status are found to vary greatly with walkability. Former studies have typically unraveled the relationship
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Creating a walkable environment is an essential step toward the 2030 Sustainable Development Goals. Nevertheless, not all people can enjoy a walkable environment, and neighborhoods with different socioeconomic status are found to vary greatly with walkability. Former studies have typically unraveled the relationship between neighborhood deprivation and walkability from a temporally static perspective and the produced estimations to a point-in-time snapshot were believed to incorporate great uncertainties. The ways in which neighborhood walkability changes over time in association with deprivation remain unclear. Using the case of the Hangzhou metropolitan area, we first measured the neighborhood walkability from 2016 to 2018 by calculating a set of revised walk scores. Further, we applied a machine learning algorithm, the kernel-based regularized least squares regression in particular, to unravel how neighborhood walkability changes in relation to deprivation over time. The results not only capture the nonlinearity in the relationship between neighborhood deprivation and walkability over time, but also highlight the marginal effects of each neighborhood deprivation indicator. Additionally, comparisons of the outputs between the machine learning algorithm and OLS regression illustrated that the machine learning approach did tell a different story and should contribute to remedying the contradictory conclusions in earlier studies. This paper is believed to renew the understanding of social inequalities in walkability by bringing the significance of temporal dynamics and structural interdependences to the fore.
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(This article belongs to the Special Issue Recent Progress in RS&GIS-Based Urban Planning)
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Open AccessArticle
A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021)
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Rafaela Tiengo, Silvia Merino-De-Miguel, Jéssica Uchôa and Artur Gil
Land 2024, 13(5), 666; https://doi.org/10.3390/land13050666 (registering DOI) - 12 May 2024
Abstract
Small oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened susceptibility to the adverse impacts of climate change, biological invasions, and land cover changes, posing threats to biodiversity and ecosystem functions and services. Over the years, persistent conservation endeavors,
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Small oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened susceptibility to the adverse impacts of climate change, biological invasions, and land cover changes, posing threats to biodiversity and ecosystem functions and services. Over the years, persistent conservation endeavors, notably those supported by the EU LIFE Programme since 2003, have played a pivotal role in alleviating biodiversity decline, particularly in the eastern region of São Miguel Island. This study advocates the application of remote sensing data and techniques to support the management and effective monitoring of LIFE Nature projects with land cover impacts. A land cover change detection approach utilizing Rao’s Q diversity index identified and assessed changes from 2002 to 2021 in intervention areas. The study analyzed the changes in LIFE project areas using ASTER, Landsat 8, and Sentinel 2 data through Google Earth Engine on Google Colab (with Python). This methodological approach identified and assessed land cover changes in project intervention areas within defined timelines. This technological integration enhances the potential of remote sensing for near-real-time monitoring of conservation projects, making it possible to assess their land cover impacts and intervention achievements.
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(This article belongs to the Special Issue Digital Mapping for Ecological Land)
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Open AccessArticle
Can Market-Oriented Allocation of Land Factors Promote the Adoption of Cropland Quality Protection Behaviors by Farmers: Evidence from Rural China
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Lulin Shen and Fang Wang
Land 2024, 13(5), 665; https://doi.org/10.3390/land13050665 (registering DOI) - 12 May 2024
Abstract
Protecting cropland quality is a fundamental national policy that China must adhere to for the long term. This study examines the impact of market-oriented allocation of land factors on farmers’ cropland quality protection behaviors and its mechanism of action, based on survey data
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Protecting cropland quality is a fundamental national policy that China must adhere to for the long term. This study examines the impact of market-oriented allocation of land factors on farmers’ cropland quality protection behaviors and its mechanism of action, based on survey data from 3804 farm households in the 2020 China Rural Revitalization Survey (CRRS). The study employs the Ordered Probit (O-probit) model, the mediated effect model, and other econometric tools to analyze the data. The study found that the market-oriented allocation of land factors can significantly promote farmers’ adoption of cropland quality protection behaviors. The robustness test supports this conclusion. The market-oriented allocation of land factors indirectly promotes the adoption of cropland quality protection by expanding the plot size and improving agricultural income. The analysis of heterogeneity indicates that farmers are more likely to adopt cropland quality protection behaviors in the plains, suburban areas, or areas with better developed labor markets. Therefore, it is essential to continue promoting market-oriented reforms of rural land factors, actively promoting land transfer policies, and guiding the development of agricultural operations towards scaling, specialization, and modernization. This will achieve the rational allocation of land resources. It is important to consider geographical variations in each area when implementing policies to guarantee effective utilization and protection of cropland.
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(This article belongs to the Section Land Socio-Economic and Political Issues)
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Open AccessArticle
The Relationship between Farmland Abandonment and Urbanization Processes: A Case Study in Four Chinese Urban Agglomerations
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Nan Zheng, Le Li, Lijian Han, Xiufang Zhu, Kefei Zhao, Ziyang Zhu and Xiaolan Ye
Land 2024, 13(5), 664; https://doi.org/10.3390/land13050664 (registering DOI) - 11 May 2024
Abstract
Clarifying the relationship between urbanization and farmland abandonment in urban agglomerations (UAs) is crucial to guide the formulation of arable land management policies and strategies for sustainable urban development. Despite numerous studies confirming the correlation between farmland abandonment and certain urbanization factors, the
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Clarifying the relationship between urbanization and farmland abandonment in urban agglomerations (UAs) is crucial to guide the formulation of arable land management policies and strategies for sustainable urban development. Despite numerous studies confirming the correlation between farmland abandonment and certain urbanization factors, the exploration of the patterns and underlying mechanisms of farmland abandonment in China’s UAs remains worthy of systematic investigation. In this study, we conducted an analysis of the spatiotemporal trends in farmland abandonment and examined the key drivers of farmland abandonment in four representative Chinese UAs—Beijing–Tianjin–Hebei (BTH), Chengdu–Chongqing (CC), Pearl River Delta (PRD), and Yangtze River Delta (YRD). Our findings reveal that farmland abandonment has been intensified with increasing fragmentation and aggregation patches across these UAs. Abandonment experience was the main driver of continuous abandonment. Moreover, natural conditions persistently influenced farmland abandonment in the BTH, while land urbanization and economic urbanization were predominant drivers in the CC. The abandonment in the PRD was mainly driven by population urbanization, while the abandonment in the YRD was primarily driven by economic urbanization and land urbanization. The research findings provide data support and scientific explanation for land policy-making in these typical UAs under different development strategies.
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(This article belongs to the Special Issue Sustainable Evaluation Methodology of Urban and Regional Planning)
Open AccessArticle
The Dynamics of Vegetation Structure, Composition and Carbon Stock in Peatland Ecosystem of Old Secondary Forest in Riau and South Sumatra Provinces
by
I Wayan Susi Dharmawan, Nur M. Heriyanto, Raden Garsetiasih, Rozza Tri Kwatrina, Reny Sawitri, Denny, Titiek Setyawati, Pratiwi, Budi Hadi Narendra, Chairil Anwar Siregar and Ilham Kurnia Abywijaya
Land 2024, 13(5), 663; https://doi.org/10.3390/land13050663 (registering DOI) - 11 May 2024
Abstract
Lowland tropical rainforests provide an abundance of biodiversity as well as dynamic and stable ecosystems. These forests include tropical peat forests in various locations and forest types that have vegetation structure and composition characteristics, and carbon stocks that still need to be explored
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Lowland tropical rainforests provide an abundance of biodiversity as well as dynamic and stable ecosystems. These forests include tropical peat forests in various locations and forest types that have vegetation structure and composition characteristics, and carbon stocks that still need to be explored more deeply. Research on the structure and the composition of the vegetation and carbon stock in the old secondary peat forest was carried out in the protected areas of Bukit Batu, Riau Province, and Muara Merang, South Sumatra Province. Based on a 1-hectare permanent plot established in Bukit Batu and Muara Merang, 25 subplots of 20 m by 20 m were established in each location for measurement purposes. The results showed that Bukit Batu and Muara Merang had 42 and 36 species belonging to 26 and 20 families, respectively. Bukit Batu had a species diversity index (H’) of 2.93, and the dominant tree species were Palaquium xanthochymum with an importance value index (IVI) = 66.27%, Eugenia sp. (IVI = 32.76%), and Litsea sp. (IVI = 18.39%). The Muara Merang location had a species diversity index (H’) of 2.82, and the dominant tree species were Eugenia sp. (IVI = 60.88%), Alseodaphne insignis (IVI = 26.34%), and Adenanthera pavonina (IVI = 22.11%). In Bukit Batu, forest stands with a diameter of ≥10 cm contained a biomass of 178.10 tonnes/ha and carbon stock of 83.70 tonnes C/ha, which is equal to 307.20 tonnes CO2/ha. Meanwhile, in Muara Merang, it was 190.41 tonnes/ha and 89.49 tonnes C/ha, which is equal to 328.44 tonnes CO2/ha. This research, especially that in Bukit Batu, Riau Province, enriches the data and information available to date and is very useful in supporting restoration practices in Riau Province’s Giam Siak Kecil Biosphere Reserve, which was designated by UNESCO as part of the Man and Biosphere Program.
Full article
(This article belongs to the Special Issue The Dynamics of Biodiversity and Landscape Ecology: Patterns, Processes, and Planning)
Open AccessArticle
Constructing Ecological Networks Based on Ecosystem Services and Network Analysis in Chongqing, China
by
Huihui Yang, Shuiyu Yan, Xinhao Wang, Chun Li, Haixing Meng and Qiang Yao
Land 2024, 13(5), 662; https://doi.org/10.3390/land13050662 (registering DOI) - 11 May 2024
Abstract
Ecological networks in mountainous regions are vital for enhancing ecosystem functionality and ensuring regional ecological stability, alleviating the contradiction between land use and ecological development in rapid urbanization. However, the complexity of mountains and the need to establish a connection between ecosystem services
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Ecological networks in mountainous regions are vital for enhancing ecosystem functionality and ensuring regional ecological stability, alleviating the contradiction between land use and ecological development in rapid urbanization. However, the complexity of mountains and the need to establish a connection between ecosystem services and human well-being present significant challenges in constructing ecological networks. This study proposes an idea that identifies and derives an optimal scenario for ecological networks, integrating insights from ecosystem services and network analysis. The aim of the ecological network is to improve and protect the ecosystem’s stability while better guiding sustainable development in mountainous regions’ urban and rural areas. This study uses qualitative evaluation methods and a graph theory model to obtain the ecological network’s sources and links. The results indicate that (1) 58 important ecological source areas were identified, with a total area of 5746 km2, mainly covered by woodland and water bodies. (2) An optimal and feasible scenario comprising 5 horizontal and 14 longitudinal corridors was established. Corridors rely primarily on the river system and mountains. (3) A total of 5 key ecological function areas and some ecological zones in important urban development areas were identified. Control measures for these ecological lands were proposed to enhance the effectiveness of ecosystem service construction. It can be concluded that identifying and deriving an optimal scenario of ecological networks in mountainous regions from the perspectives of ecosystem services and network analysis is feasible.
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(This article belongs to the Section Landscape Ecology)
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Open AccessArticle
“Architectural Acupuncture” in Urban Morphology Studies
by
Paolo Carlotti
Land 2024, 13(5), 661; https://doi.org/10.3390/land13050661 (registering DOI) - 11 May 2024
Abstract
This paper aims to track the evolution of urban morphology studies, focusing on a graphical understanding of transformation phenomena in historical and contemporary city fabrics. It points out similarities in urban morphology studies by authors like Aldo Rossi, Carlo Oswald W. Ungers, Hans
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This paper aims to track the evolution of urban morphology studies, focusing on a graphical understanding of transformation phenomena in historical and contemporary city fabrics. It points out similarities in urban morphology studies by authors like Aldo Rossi, Carlo Oswald W. Ungers, Hans Kollhoff, Saverio Muratori, Gianfranco Caniggia, and Giancarlo de Carlo. These studies developed within a supportive cultural environment, aligning with analogical procedures and anticipating the contemporary concept of urban acupuncture. Urban acupuncture denotes episodic and locally impactful interventions countering grand, self-celebratory architectural projects. These interventions are promoted both by liberal and capitalist culture as well as by socialist-inspired culture. Lastly, these interventions, promoted by various cultural backgrounds, highlight the multi-scale nature of urban morphology studies and urban acupuncture projects. Each change in form corresponds to a morphological adaptation and a redefinition of urban rules and grammar usable in projects with territorial significance. Today, enhanced by digital tools, these studies confirm insights and syntheses, presenting urban acupuncture interventions in real-time socio-economic flows and dynamics.
Full article
(This article belongs to the Special Issue Urban Morphology: A Perspective from Space)
Open AccessReview
Smart Growth and Smart Shrinkage: A Comparative Review for Advancing Urban Sustainability
by
Yang Yang, Zhe Dong, Bing-Bing Zhou and Yang Liu
Land 2024, 13(5), 660; https://doi.org/10.3390/land13050660 (registering DOI) - 11 May 2024
Abstract
In the context of ongoing global urbanization, the disparity in urban development, marked by the dual phenomena of urban sprawl and urban shrinkage at the regional level, has become increasingly evident. In this vein, two land-related governance strategies—smart growth (SG) and smart shrinkage
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In the context of ongoing global urbanization, the disparity in urban development, marked by the dual phenomena of urban sprawl and urban shrinkage at the regional level, has become increasingly evident. In this vein, two land-related governance strategies—smart growth (SG) and smart shrinkage (SS)—emerge as potential remedies to these challenges, targeting urban expansion and shrinkage, respectively. This study bridges the gap in the fragmented discourse surrounding SG and SS by conducting a comprehensive comparative review on the respective literatures. Utilizing the Scopus database, our research employs trend analysis, text and topic mining, time node analysis, and regional analysis, augmented by qualitative reviews of seminal papers. The findings reveal a notable shift in research focus, with interest in SS surging around 2010 (the number of SS-related papers published after 2010 accounts for 92.3% of the total number of the entire study period) as attention to SG waned, suggesting an impending paradigm shift in urban sustainability. The analysis indicates that SS research lacks the disciplinary diversity, thematic breadth, and empirical depth of SG studies, underscoring a need for a more robust theoretical foundation to support urban sustainability. Furthermore, while both SG and SS derive from environmental science foundations, SG predominantly addresses the physical and landscape attributes of urban areas, whereas SS focuses more on socio-economic dimensions. Our findings point to an intrinsic link between SG and SS, which could lay the groundwork for their integration into a unified theoretical framework to better advance urban sustainability.
Full article
(This article belongs to the Special Issue Advancing Sustainability through Land-Related Approaches: Theoretical Foundations and Empirical Investigations)
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Open AccessArticle
Bibliometric and Visualization Analysis of the Literature on the Remote Sensing Inversion of Soil Salinization from 2000 to 2023
by
Chengshen Yin, Quanming Liu, Teng Ma, Yanru Shi and Fuqiang Wang
Land 2024, 13(5), 659; https://doi.org/10.3390/land13050659 (registering DOI) - 11 May 2024
Abstract
Tracing the historical development of soil salinization and monitoring its current status are crucial for understanding the driving forces behind it, proposing strategies to improve soil quality, and predicting future trends. To comprehensively understand the evolution of research on the remote sensing inversion
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Tracing the historical development of soil salinization and monitoring its current status are crucial for understanding the driving forces behind it, proposing strategies to improve soil quality, and predicting future trends. To comprehensively understand the evolution of research on the remote sensing inversion of soil salinity, a scientific bibliometric analysis was conducted on research from the past two decades indexed in the core scientific databases. This article analyzes the field from various perspectives, including the number of publications, authors, research institutions and countries, research fields, study areas, and keywords, in order to reveal the current state-of-the-art and cutting-edge research in this domain. Special attention was given to topics such as machine learning, data assimilation methods, unmanned aerial vehicle (UAV) remote sensing technology, soil inversion under vegetation cover, salt ion inversion, and remote sensing model construction methods. The results indicate an overall increase in the volume of publications, with key authors such as Metternicht, Gi and Zhao, Gengxing, and major research institutions including the International Institute for Geoinformatics Science and Earth Observation and the Chinese Academy of Sciences making significant contributions. Notably, China and the USA have made substantial contributions to this field, with research areas extending from Inner Mongolia’s Hetao irrigation district to the Mediterranean region. Research in the remote sensing domain focuses on various methods, including hyperspectral imaging for salinized soil inversion, with an increasing emphasis on machine learning. This study enriches researchers’ knowledge of the current trends and future directions of remote sensing inversion of soil salinization.
Full article
(This article belongs to the Special Issue Salinity Monitoring and Modelling at Different Scales)
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