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
Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector
Land 2024, 13(6), 746; https://doi.org/10.3390/land13060746 (registering DOI) - 26 May 2024
Abstract
The industrial landscape constitutes a crucial aspect of a region’s historical and cultural identity, serving as a valuable asset in the development of industrial tourism. Exploring the industrial landscape supports initiatives in industrial tourism, acts as a catalyst for community revitalization, and contributes
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The industrial landscape constitutes a crucial aspect of a region’s historical and cultural identity, serving as a valuable asset in the development of industrial tourism. Exploring the industrial landscape supports initiatives in industrial tourism, acts as a catalyst for community revitalization, and contributes to sustainable urban progress. The primary objective of this research was to investigate the spatial distribution characteristics and underlying determinants of China’s industrial landscape (CIL) to inform urban planning, cultural heritage preservation, and sustainable development initiatives. This study utilized analytical tools, such as the nearest neighbor index, geographic concentration index, and hot spot analysis, to comprehensively examine the spatial distribution of CIL. Additionally, Geodetector was employed to explore the correlating factors behind this distribution. The findings reveal the following: (1) CIL exhibited a pronounced agglomerative spatial pattern characterized by a high degree of concentration, significant disparities, and substantial spatial autocorrelation. (2) Over time, the agglomeration of CIL varied, intensifying initially and then diminishing, with the center of gravity of its distribution shifting eastward before subsequently moving westward in a directional trend resembling “northeast–southwest”. (3) There was a diverse array of industrial landscape types within China, with notable disparities in the prevalence of different categories. The manufacturing and transportation sectors boasted the highest number of heritage sites. (4) The distribution pattern of CIL was shaped by factors such as the level of economic development, socio-demographic conditions, transportation infrastructure, and cultural milieu. The interplay between these factors had a substantial impact on this distribution pattern.
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(This article belongs to the Special Issue Feature Papers for Land Planning and Landscape Architecture Section)
Open AccessArticle
Drought Sensitivity and Vulnerability of Rubber Plantation GPP—Insights from Flux Site-Based Simulation
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Runqing Zhang, Xiaoyu E, Zhencheng Ma, Yinghe An, Qinggele Bao, Zhixiang Wu, Lan Wu and Zhongyi Sun
Land 2024, 13(6), 745; https://doi.org/10.3390/land13060745 (registering DOI) - 26 May 2024
Abstract
Drought, an intricate natural phenomenon globally, significantly influences the gross primary productivity (GPP) and carbon sink potential of tropical forests. Present research on the drought response primarily focuses on natural forests, such as the Amazon rainforest, with relatively limited studies on tropical plantations.
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Drought, an intricate natural phenomenon globally, significantly influences the gross primary productivity (GPP) and carbon sink potential of tropical forests. Present research on the drought response primarily focuses on natural forests, such as the Amazon rainforest, with relatively limited studies on tropical plantations. Therefore, for a comprehensive understanding of global climate change, accurately evaluating and analyzing the sensitivity and vulnerability of rubber plantation GPP to various drought characteristics is crucial. The Standardized Precipitation Evapotranspiration Index (SPEI) was used in this research to quantify drought intensity. The Spatially Explicit Individual Based Dynamic Global Vegetation Model (SEIB-DGVM) was localized based on observation data from the Hainan Danzhou Tropical Agro-ecosystem National Observation and Research Station. Subsequently, the calibrated model was utilized to simulate the dynamic process of rubber plantation GPP under multi-gradient drought scenarios (2 extreme boundaries × 3 drought initiation seasons × 4 drought intensities × 12 drought durations × 12 SPEI time scales). The results show that the sensitivity and vulnerability of rubber plantation GPP exhibit significant differences under drought scenarios in different initiation seasons; GPP exhibits higher sensitivity to extreme, long-duration flash droughts in the early rainy season. Regarding vulnerability, the impact of extreme, long-duration flash droughts on GPP is most pronounced. This research lays the foundation for estimating the impact of droughts on the GPP of rubber plantations under future climate change scenarios, providing a scientific basis for enhancing regional ecological restoration and protection.
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(This article belongs to the Special Issue Key Hydrological Processes and Its Controlling Factors in Terrestrial Ecosystems)
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Open AccessArticle
A Simulated Assessment of Land Use and Carbon Storage Changes in the Yanqi Basin under Different Development Scenarios
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Ying Jiang, Yilinuer Alifujiang, Pingping Feng, Ping Yang and Jianpeng Feng
Land 2024, 13(6), 744; https://doi.org/10.3390/land13060744 (registering DOI) - 26 May 2024
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The most extensive carbon reservoir system on Earth is found in the vegetation and soil in terrestrial ecosystems, which are essential to preserving the stability of ecosystems. Land use/cover change (LUCC) patterns in terrestrial ecosystems significantly impact carbon storage (CS). Therefore, it is
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The most extensive carbon reservoir system on Earth is found in the vegetation and soil in terrestrial ecosystems, which are essential to preserving the stability of ecosystems. Land use/cover change (LUCC) patterns in terrestrial ecosystems significantly impact carbon storage (CS). Therefore, it is imperative to investigate the relationship between LUCC and CS to coordinate regional ecological conservation and industrial development. In this study, the characteristics of spatial and temporal changes in land use and CS in the Yanqi Basin from 2000 to 2020 were revealed using the PLUS (patch-generating land use simulation) model and the CS module of the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model. This study also predicted the spatial and temporal evolution of CS and the response mechanism of the Yanqi Basin from four scenarios—natural development scenario (NDS), ecological protection scenario (EPS), cropland protection scenario (CPS), and urban development scenario (UDS) for the years 2030, 2040, and 2050. This study shows the following: (1) Between 2000 and 2020, the Yanqi Basin witnessed an expansion in cropland and construction land, the order of the land use dynamic degree which is as follows: construction land > cropland > woodland > unused land > water > grassland. At the same time, the CS exhibited a trend of growth that was followed by a decline, a cumulative decrease of 3.61 Tg. (2) Between 2020 and 2050, woodland, grassland, and unused land decreased under the NDS and UDS. Meanwhile, grassland and woodland showed an expanding trend, and there was a decrease in cropland and construction land under the EPS; the CPS projected an increase in cropland to 3258.06 km2 by 2050. (3) CS under the UDS is always the lowest, and CS under the EPS is the highest; moreover, by 2050, CS under the EPS is projected to increase by 1.18 Tg compared with that under the UDS. The spatial distribution of CS shows a high value in the western part of the region and a low value in the eastern part of the region, which is more in line with the historical spatial distribution. (4) The development of land by human activities is one of the major factors leading to the change of CS. The direct cause of the decrease in CS is the transformation of large areas of cropland and woodland into construction land. Therefore, woodlands must be protected to improve CS and prevent ecological degradation. At the same time, future land use planning in the Yanqi Basin needs to limit the conversion rate of various types of land, control the construction land, optimize the urban pattern, improve the regional CS level, adhere to the concept of striving to achieve carbon neutrality, and realize the sustainable development of the region to provide scientific suggestions for carrying out macro-decision making regarding land use planning in arid areas.
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Open AccessArticle
Digital Footprint as a Public Participatory Tool: Identifying and Assessing Industrial Heritage Landscape through User-Generated Content on Social Media
by
Ji Li, Jinsheng Pan, Qixuan Dou, Fei Fu and Yaling Shi
Land 2024, 13(6), 743; https://doi.org/10.3390/land13060743 (registering DOI) - 26 May 2024
Abstract
International heritage management approaches have developed into a more inclusive process wherein public participation is identified as a pivotal tool. Thus, determining how to assess public interests and include the public’s ideas in heritage protection has become a technical issue, but relevant research
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International heritage management approaches have developed into a more inclusive process wherein public participation is identified as a pivotal tool. Thus, determining how to assess public interests and include the public’s ideas in heritage protection has become a technical issue, but relevant research still remains limited. This paper aims to test the digital footprints of social media users as a public participatory tool, with the objectives of identifying industrial heritage landscape attributes and assessing associated values. Targeting the Sanxian industrial heritage landscape of Liangdancheng in China as a case study, in this research the data from user-generated content on social media platforms Ctrip, Weibo, and Meituan were collected and processed with ROST CM 6 and NVivo 12, and content analysis (CA) and importance-performance analysis (IPA) were conducted. Results revealed that the industrial heritage landscape of Liangdancheng encompasses various built, cultural, and natural environmental resources, including both tangible and intangible attributes such as architectural constructions, historic artifacts, cultural events, and plants. These attributes were assessed and categorized into four quadrants of importance–performance characteristics, wherein cultural environmental resources show relatively high performance but built environmental resources need further actions to improve their value perception and interpretation among the public. This research demonstrated that the digital footprints of social media users as a participatory tool can work well in terms of data accessibility, value identification, and public representation, advancing the theoretical framework of Chinese industrial heritage management and global practices.
Full article
(This article belongs to the Special Issue Landscape Governance in the Age of Social Media (Second Edition))
Open AccessArticle
Optimizing Non-Point Source Pollution Management: Evaluating Cost-Effective Strategies in a Small Watershed within the Three Gorges Reservoir Area, China
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Renfang Chang, Yunqi Wang, Huifang Liu, Zhen Wang, Lei Ma, Jiancong Zhang, Junjie Li, Zhiyi Yan, Yihui Zhang and Danqing Li
Land 2024, 13(6), 742; https://doi.org/10.3390/land13060742 (registering DOI) - 26 May 2024
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Non-point source (NPS) pollution poses a significant threat to the water environment, yet controlling it at the watershed scale remains a formidable challenge. Understanding the characteristics and drivers of nitrogen (N) and phosphorus (P) outputs at the watershed scale, along with identifying cost-effective
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Non-point source (NPS) pollution poses a significant threat to the water environment, yet controlling it at the watershed scale remains a formidable challenge. Understanding the characteristics and drivers of nitrogen (N) and phosphorus (P) outputs at the watershed scale, along with identifying cost-effective best management practices (BMPs), is crucial for effective pollution control. In this study, we utilized the Wangjiaqiao watershed within the Three Gorges Reservoir Area (TGRA) as a case study to explore the characteristics of N and P load outputs and their dominant drivers by combining the SWAT model and a geographic detector. Based on our analysis of N and P loads within the watershed, we employed the entropy weight method to evaluate the reduction efficiency and cost-effectiveness of 64 BMP scenarios, encompassing seven measures (vegetative filter strips, parallel terraces, 10% fertilizer reduction, 30% fertilizer reduction, residue cover tillage, grass mulching, and returning farmland to forest) and their combinations. Our findings revealed the following: (1) spatial heterogeneity in NPS loads within the watershed, primarily influenced by land use, fertilizer application, and surface runoff, with interactive enhancement effects among driving factors; (2) the differential effectiveness of BMPs at the watershed level, with structural measures, particularly terracing, exhibiting higher efficacy and achieving reduction rates of 28.12% for total nitrogen (TN) and 37.69% for total phosphorus (TP); the combined BMPs showed improved reduction efficiency, but not merely additive; and (3) in terms of cost-effectiveness, 30% fertilizer reduction emerged as the most beneficial among the individual measures. Moreover, a combination of vegetative filter strips, parallel terraces, and 30% fertilizer reduction demonstrated significant improvements in TN and TP reductions (48.05% and 61.95%, respectively), suggesting their widespread applicability. Overall, our study provides insights into developing a cost-effective BMP strategy for the Wangjiaqiao watershed and offers valuable guidance for NPS pollution management in similar small watersheds within the TGRA.
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Open AccessArticle
Distribution Characteristics and Main Influencing Factors of Organic Carbon in Sediments of Spartina Alterniflora Wetlands along the Northern Jiangsu Coast, China
by
Aijuan Zhang, Wenlong Lv, Qiang Shu, Zhiling Chen, Yifan Du, Hui Ye, Linlu Xu and Shengzhi Liu
Land 2024, 13(6), 741; https://doi.org/10.3390/land13060741 (registering DOI) - 25 May 2024
Abstract
In this study, columnar sediment samples were collected from north to south along the northern Jiangsu coast, China, under Spartina alterniflora vegetation in four sample areas: Chuandong Port (Area-1), Tiaozini Scenic Area (Area-2), Yangkou Town (Area-3), and Meiledi Marine Park (Area-4). Organic carbon
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In this study, columnar sediment samples were collected from north to south along the northern Jiangsu coast, China, under Spartina alterniflora vegetation in four sample areas: Chuandong Port (Area-1), Tiaozini Scenic Area (Area-2), Yangkou Town (Area-3), and Meiledi Marine Park (Area-4). Organic carbon (OC), nutrient elements including total nitrogen (TN), total phosphorus (TP), and total sulfur (TS), and physicochemical properties including pH, salinity (Sal), moisture content (MC), and bulk density (BD) were measured. Pearson’s correlation analysis was performed to explore the correlation between OC content and sedimentary physicochemical indexes, and the partial least squares regression (PLSR) model was used to analyze the factors affecting changes in OC content. The results found that the OC content of columnar sediments of S. alterniflora decreased with increasing depth in all four areas. The OC content in the four sample areas was mainly affected by the TN, pH, MC, TP, and burial depth. In particular, TN, MC, TP, TS, and clay content positively affected OC, whereas burial depth, pH, silt content, BD, sand content, and Sal negatively affected OC. The results of this study provide a valuable reference for evaluating the role of coastal wetlands in the global carbon cycle.
Full article
(This article belongs to the Special Issue Land Use Sustainability from the Viewpoint of Carbon Emission)
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Open AccessArticle
NGO-Led Community-Based Conservation: A New Frontier of Territorialization with Implications for Pastoralists’ Land Tenure and Climate Change Adaptation
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Jackson Wachira, Joanes Atela, Paul Stacey and George Outa
Land 2024, 13(6), 740; https://doi.org/10.3390/land13060740 - 24 May 2024
Abstract
In recent years, many community-based conservancies (CBCs) led by non-governmental organizations (NGOs) have been established on land inhabited by pastoralists in Northern Kenya. Despite a growing body of research, little attention has been paid to the impacts on pastoralists’ climate change adaptation. We
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In recent years, many community-based conservancies (CBCs) led by non-governmental organizations (NGOs) have been established on land inhabited by pastoralists in Northern Kenya. Despite a growing body of research, little attention has been paid to the impacts on pastoralists’ climate change adaptation. We provide a deeper understanding by considering NGO-led community-based conservation (NGO-led CBC) as a new frontier of territorialization and adaptation to climate change and variability as a social-natural process. Based on an analysis of primary data collected in Samburu County, Kenya, we show that NGO-led CBC involves resource enclosures that aggravate conflicts over land rights and pastoralists’ vulnerability to climate change and variability by constraining their mobility. In relation, the legal and institutional environment promoted by NGO-led CBC leads to increased control over ecologically vibrant lands, which erodes pastoralists’ land tenure security and climate change adaptation. Although NGO-led CBC plays an important role in enhancing access to external finance and incentivizing diversification, governance mechanisms remain opaque and overshadow local institutions. Overall, we highlight the need for actors to carefully consider the implications of this conservation/development model for already hard-pressed land-dependent communities.
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(This article belongs to the Special Issue Critical Insights on Tenure Security in the Global South)
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Modeling Irrigation of Tomatoes with Saline Water in Semi-Arid Conditions Using Hydrus-1D
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Sabri Kanzari, Jiří Šimůnek, Issam Daghari, Anis Younes, Khouloud Ben Ali, Sana Ben Mariem and Samir Ghannem
Land 2024, 13(6), 739; https://doi.org/10.3390/land13060739 - 24 May 2024
Abstract
In arid and semi-arid regions like Tunisia, irrigation water is typically saline, posing a risk of soil and crop salinization and yield reduction. This research aims to study the combined effects of soil matric and osmotic potential stresses on tomato root water uptake.
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In arid and semi-arid regions like Tunisia, irrigation water is typically saline, posing a risk of soil and crop salinization and yield reduction. This research aims to study the combined effects of soil matric and osmotic potential stresses on tomato root water uptake. Plants were grown in pot and field experiments in loamy-clay soils and were irrigated with three different irrigation water qualities: 0, 3.5, and 7 dS/m. The Hydrus-1D model was used to simulate the combined dynamics of subsurface soil water and salts. Successful calibration and validation of the model against measured water and salt profiles enabled the examination of the combined effects of osmotic and matric potential stresses on root water uptake. Relative yields, indirectly estimated from actual and potential transpiration, indicated that the multiplicative stress response model effectively simulated the measured yields and the impact of saline water irrigation on crop yields. The experimental and modeling results provide information to aid in determining the salinity levels conducive to optimal crop growth. The findings indicate that the selected salinity levels affect tomato growth to varying degrees. Specifically, the salinity levels conducive to optimal tomato growth were between 0 and 3.5 dS/m, with a significant growth reduction above this salinity level. The gradual salinization of the root zone further evidenced this effect. The scenario considering a temperature increase of 2 °C had no significant impact on crop yields in the pot and field experiments.
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(This article belongs to the Special Issue Salinity Monitoring and Modelling at Different Scales)
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Open AccessArticle
Study on the Morphological Analysis and Evolution of the Street Network in the Historic Urban Area of Changsha City from 1872–2023
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Bohong Zheng, Fangzhou Tian, Li Lin and Jinyu Fan
Land 2024, 13(6), 738; https://doi.org/10.3390/land13060738 - 24 May 2024
Abstract
This study focuses on the streets and spatial networks of the historic urban area in Changsha, the capital of Hunan Province, China, by mainly investigating the evolution of their geometric and topological characteristics. It draws on the theories and methods of urban morphology
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This study focuses on the streets and spatial networks of the historic urban area in Changsha, the capital of Hunan Province, China, by mainly investigating the evolution of their geometric and topological characteristics. It draws on the theories and methods of urban morphology and space syntax, combines the digital historical maps at different times, and uses methods such as historical map spatial interpretation, geographic information system (GIS), sDNA tools, and urban morphological parameter analysis to explore and sort out the evolutionary process of the street and alley network in Changsha from the early modern period to the present. The paper constructs a parameter system for analyzing the street and alley network of historic urban areas from a geometric and topological perspective. It introduces the indicators of road density, road orientation, intersection density, and approaches such as closeness, betweenness, and intelligibility in space syntax into the parameter analysis framework of street and alley network morphology and spatial characteristics evolution. By comparing the changes in various parameters at different spatial scales, the process of the spatial order evolution of the street and alley network in the historic urban area is analyzed, and the evolutionary rules of the various periods’ morphological characteristics are extracted.
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(This article belongs to the Special Issue Urban Morphology: A Perspective from Space)
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Open AccessArticle
Investigating Endemic Species Conservation Hotspots Based on Species Distribution Models in Swat Region, Hindu Kush Pakistan
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Shawkat Ali, Haidar Ali, Omid Ghadirian Baharanchi, Hassan Sher and Rasoul Yousefpour
Land 2024, 13(6), 737; https://doi.org/10.3390/land13060737 - 24 May 2024
Abstract
For the effective conservation of plant species, it is imperative to manage habitat loss and fragmentation by establishing a protected area network that comprehensively encompasses their habitat. In this study, we identified the suitable habitats for some endemic plant species in the Swat
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For the effective conservation of plant species, it is imperative to manage habitat loss and fragmentation by establishing a protected area network that comprehensively encompasses their habitat. In this study, we identified the suitable habitats for some endemic plant species in the Swat District, Pakistan, to conduct a thorough analysis of proposed protected areas (hotspot areas). Utilizing data from a recent botanical survey, environmental parameters from World-Clim, and various other sources, we determined the habitat of each species using the MaxEnt species distribution model. The modeled habitat suitability for each species were combined to generate maps illustrating endemic richness (hotspots), as well as to prioritize areas based on conservation value and habitat suitability. Future climate projections spanning from 2000 to 2050 were acquired from the WorldClim database Nineteen bioclimatic variables were assessed, incorporating data from three global climate models: CCSM4, HadGEM2-AO, and MPI-ESM-LR. We modeled seven endemic species from the Swat District and, by combining their maps, found three hotspot areas which show more environmental suitability under future climatic conditions. The future model forecasts a significant decrease in population density by the year 2050. Currently, these species exhibit their highest density along the eastern and southern borders of the valley, particularly in the Karakar, Elum border, Mankial Kalam, and Gabral Kalam areas. The anticipated alterations in density and distribution could have a considerable impact not only on the tree species but also on the associated sub flora.
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(This article belongs to the Special Issue In Situ Conservation Tools to Mitigate Impacts from Global Change on Biodiversity)
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Open AccessArticle
The Temporal and Spatial Evolution Characteristics and Driving Factors of Ecosystem Service Bundles in Anhui Province, China
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Zhongjian Mei, Cheng Li, Jie Zhao, Zixuan Li, Kaiyi Chen, Xin Huang and Zhiyue Zhao
Land 2024, 13(6), 736; https://doi.org/10.3390/land13060736 - 23 May 2024
Abstract
Identifying ecosystem service bundles and their long-term evolutionary characteristics is essential for the overall enhancement of regional ecosystem services, as well as the division and management of functional areas, providing a basis for decision-making in formulating ecological and environmental protection policies, as well
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Identifying ecosystem service bundles and their long-term evolutionary characteristics is essential for the overall enhancement of regional ecosystem services, as well as the division and management of functional areas, providing a basis for decision-making in formulating ecological and environmental protection policies, as well as regional development planning. Based on land use, remote sensing, and meteorological data obtained from Anhui Province, this study assessed six important ecosystem service functions, including food production (FP), water yield (WY), carbon sequestration (CS), soil conservation (SC), habitat quality (HQ), and landscape aesthetics (LA), at the township scale in 2000, 2010, and 2020. On this basis, the k-means clustering method was used to identify ecosystem service bundles, analyze the spatio-temporal evolution trajectory of service bundles, and explore the driving factors of the spatio-temporal evolution of ecosystem service bundles using GeoDetector 2015 The results indicate the following: (1) At the spatial level, diverse ecosystem services demonstrate pronounced spatial differentiation. The distribution pattern of HQ, carbon fixation, and SC services is generally lower in the north and higher in the south, with areas of high value predominantly located in the western Dabie Mountains and the mountains of Southern Anhui. Conversely, FP services exhibit the reverse pattern, and WY services display a gradual increase from north to south, while cultural services are more dispersed, with areas of high value primarily located in the western Dabie Mountains, the Yangtze River Basin, and other locations. On the temporal scale, WY, SC, and FP services mainly exhibit an increasing trend, marked by a significant increase, whereas other services tend to present a decreasing trend. (2) Anhui Province can be categorized into four distinct types of service bundles: the grain production bundle (GPB), mountain ecological conservation bundle (MECB), urban living bundle (ULB), and core protection bundle (CPB). Ecosystem service bundles exhibit clear spatial differentiation, and identical service bundles demonstrate substantial clustering in space. Between 2000 and 2020, ecosystem service bundles displayed a marked spatio-temporal evolution, with the prevalence of GPBs diminishing, whereas the share of ULBs progressively increased, and the number of MECBs and CPBs remained largely stable. (3) In the spatio-temporal evolution process, the average annual precipitation, the proportion of forest land, and slope constitute the principal natural factors influencing the spatio-temporal evolution of ecosystem service bundles, while the proportion of construction land represents the primary socio-economic factor, with natural factors exerting a more significant influence than socio-economic factors.
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Open AccessArticle
Spatial-Temporal Process of Land Use/Land Cover and Desertification in the Circum-Tarim Basin during 1990–2020
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Xiaoming Cao, Mengchun Cui, Lei Xi and Yiming Feng
Land 2024, 13(6), 735; https://doi.org/10.3390/land13060735 - 23 May 2024
Abstract
The problem of desertification in the Tarim Basin, an area with a unique geography and climatic conditions, has received extensive research attention not only in China but also around the world. Between natural factors and human activities, the latter are considered the main
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The problem of desertification in the Tarim Basin, an area with a unique geography and climatic conditions, has received extensive research attention not only in China but also around the world. Between natural factors and human activities, the latter are considered the main cause of desertification, with the excessive use of land resources accelerating its risk. This study classified the degree of desertification into five types, no, light, moderate, severe, and extremely severe desertification, and focused on the spatio-temporal changes in LULC, desertification development, and their relationship in the Circum-Tarim Basin during the period of 1990–2020, and the results indicated the following. (1) Over the 30-year study period, farmland development was frequent in the basin. The total farmland area increased significantly by 1.40 × 104 km2, which resulted from the occupation of grassland (mainly low-covered and medium-covered grassland) and unused land (mainly saline–alkali land). (2) There was a general alleviation of the effects of desertification, but also local deterioration. The area of no-desertification land has significantly increased (an increase of 2.10 × 104 km2), and the degree of desertification has shifted significantly to adjacent lighter degrees, but the area of extremely severe desertification in certain regions has increased (an increase of 7.89 × 104 km2). (3) There was an inseparable relationship between LULC and desertification. Oasisization and desertification were two processes that interacted and were interrelated. There was an approximately 54.42% increase in no-desertification land area mainly occurring in the region where LULC types changed (Region II), although this area only accounted for 9.71% of the total area of the basin. There was an approximately 98.28% increase in the area of extremely severe desertification occurring where there were no changes in LULC types (Region I). Region II demonstrated the best effects of desertification prevention and control in the 30-year study period in the Circum-Tarim Basin. Land development and oasis expansion have led to concentrated water use, resulting in water scarcity in certain areas, which cannot support the needs of vegetation growth, thus aggravating the degradation. Hence, “adapting measures to local conditions, rational planning, zoning policies, precise prevention and control” will be the way forward for desertification control in the future in the Circum-Tarim Basin.
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Open AccessArticle
How Does the Neighborhood Unit Inform Community Revitalization?
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Reza Banai
Land 2024, 13(6), 734; https://doi.org/10.3390/land13060734 - 23 May 2024
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Community revitalization is a complex, multifaceted process, studied conceptually and empirically in the vast multidisciplinary literature. Among the cited elements of community revitalization are housing; school, civic, and retail spaces; street networks; parks; and green spaces. However, the elements are commonly studied in
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Community revitalization is a complex, multifaceted process, studied conceptually and empirically in the vast multidisciplinary literature. Among the cited elements of community revitalization are housing; school, civic, and retail spaces; street networks; parks; and green spaces. However, the elements are commonly studied in isolation, not considering their interrelated qualities as all-of-a-piece of the community revitalization process. In this paper, we draw on the concept of the neighborhood unit that facilities a holistic approach to community revitalization. We show how the neighborhood unit is metamorphosed and thereby endured from the classic to the contemporary. We argue that the neighborhood unit informs, as well as being challenged by, community revitalization. Furthermore, inadequate attention is given to how urban revitalization challenges the efficacy of the neighborhood unit itself. The inner-city blight provides an impetus to look beyond the neighborhood to the metropolitan region as a whole. The neighborhood unit’s fundamental limitation is posed by its cellular autonomy, in favor of alternatives that connect the neighborhood to the metropolitan region’s jobs–housing–services–mobility opportunity holistically. Our literature review of the impactful elements of community revitalization is aided by AI (ChatGPT) as an expeditious search engine. It is found that the AI-aided search of the universal poses anew the significance of the particular—the site- and context-specific. We conclude with) universal “performance dimensions” of Good City Form that are calibrated locally, reflecting the goodness of the city form, of which the neighborhood is a building block.
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Open AccessArticle
The Spatial Pattern of Polluting Enterprises and the Effects of Local Regulation in the Guanzhong Plain Urban Agglomeration
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Xing Dang, Beibei Ma, Dongqian Xue, Yongyong Song and Guy M. Robinson
Land 2024, 13(6), 733; https://doi.org/10.3390/land13060733 - 23 May 2024
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In the context of actively undertaking the transfer of domestic and foreign industries in the central and western regions of China, local regulatory behaviors influence the spatial distribution of polluting enterprises (PEs). This study examined the Guanzhong Plain urban agglomeration (GPUA), the largest
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In the context of actively undertaking the transfer of domestic and foreign industries in the central and western regions of China, local regulatory behaviors influence the spatial distribution of polluting enterprises (PEs). This study examined the Guanzhong Plain urban agglomeration (GPUA), the largest urban agglomeration in the northwest region of China and one of the main regions that undertakes industrial transfer, using kernel density estimation and geographically and temporally weighted regression to explore the spatial pattern characteristics and evolution of PEs and reveal the effects of local regulatory behaviors, including environmental regulation (ER) and local protection (LP). The results indicate that (1) The distribution of the PEs tended towards energy and mineral resources and agglomerated along the development axes, aligning with the strategic positioning of the major function-oriented zones. Agglomerated areas gradually concentrate in key development zones. Major agricultural production zones exit high-density areas, and those adjacent to high-density areas often become secondary agglomeration core areas. Key ecological functional zones do not form high-density areas. (2) Both ER and LP have a positive impact on the distribution of PEs, and the dominant influence shifts from ER to LP. Counties with strict ER have increased the tendency of PEs to exhibit a certain layout due to better pollution treatment facilities and more mature pollution control technologies. The “pollution haven effect” has not yet formed within the GPUA. (3) The role of LP was more prominent in key development zones and major agricultural production zones, whereas the role of ER was more evident in key ecological functional zones. (4) RE and LP have mutually reinforcing effects on the distribution of PEs; the “innovation compensation effect” gradually manifests, but an increase in ER leads to a decrease in regional industrial clustering. This study provides a reference value for understanding the impact of government regulation on the distribution of PEs in underdeveloped areas.
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Open AccessArticle
Chinese Coastal Fishing Ports Classification Based on Remote Sensing Images
by
Zun Liu, Weixin Luan, Chuang Tian, Zhipeng Shi and Gai Cao
Land 2024, 13(6), 732; https://doi.org/10.3390/land13060732 - 23 May 2024
Abstract
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Fishing ports are important fishery production platforms, and the transformation of these has had a profound impact on the fishing industry. A reasonable classification solution is crucial for scientific understanding, development, and management of fishing ports. Current research on the use of spatial
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Fishing ports are important fishery production platforms, and the transformation of these has had a profound impact on the fishing industry. A reasonable classification solution is crucial for scientific understanding, development, and management of fishing ports. Current research on the use of spatial distributional characterization and the construction of a classification system for fishing ports to improve their management is limited. Therefore, in this study, a fishing port classification system was constructed using remote sensing images, with fishing port boundaries accurately extracted for classification. Using graphical summarization, fishing ports were classified into five types, including inland, estuarine, shoreline, gulf, and islands. A port type identification system was also constructed based on distance from the shoreline, water area, and circulation. Finally, fishing port characteristics and differences were investigated based on spatial superposition. The results demonstrate that shoreline and gulf types are the most prevalent fishing port types along the Chinese coast, accounting for 43% and 26% of the total number of fishing ports, respectively. This provides a strong foundation for China’s fishery production, processing, and trade. Through the establishment of a comprehensive scientific classification system, fishing port management can be modernized, supporting the sustainable development and utilization of coastal zones.
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Open AccessArticle
Integrated Models of Cleaner Production Technologies for Maize Cultivation in China’s Black Soil Regions
by
Yinsheng Yang and Ying Xu
Land 2024, 13(6), 731; https://doi.org/10.3390/land13060731 - 23 May 2024
Abstract
Incorporating carbon footprints into the production efficiency framework to construct a standardized technology model for cleaner production in black soil regions is of great significance for improving the soil environment and the sustainable development of agriculture. This study used an orthogonal experimental design
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Incorporating carbon footprints into the production efficiency framework to construct a standardized technology model for cleaner production in black soil regions is of great significance for improving the soil environment and the sustainable development of agriculture. This study used an orthogonal experimental design and the DEA–Malmquist method to calculate the carbon footprint and total factor productivity of orthogonal experimental groups of cleaner production technologies for maize cultivation in China’s black soil region and then identified integrated models of cleaner production technology in the black soil region. The results showed that the carbon footprint of maize cultivation and total factor productivity were generally higher in the experimental group using cleaner production techniques than in the control group. Still, none of them reached the optimum. In the future, the synergistic effect of technological progress and technological efficiency enhancement should be brought into play, and the integrated models of “Soil testing and formulation + Full mobile sprinkler irrigation + Straw tilling and field return” and “No tillage in spring + Soil testing and formulation + Straw tilling and field return” should be promoted in semi-arid and semi-humid black soil regions, which can improve the low carbon productivity of maize by 20.3% and 15.4%, respectively.
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(This article belongs to the Topic Agronomy, Soil Health and Climate Change: Challenges and Solutions)
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Open AccessArticle
Seasonal Grazing Does Not Significantly Alter the Particle Structure and Pore Characteristics of Grassland Soil
by
Juejie Yang, Ruiqi Zhang, Rong Cao, Shikui Dong, Taogetao Baoyin and Tianqi Zhao
Land 2024, 13(6), 730; https://doi.org/10.3390/land13060730 - 23 May 2024
Abstract
Seasonal grazing is a recognized and sustainable approach to livestock management, but there is still a lack of comprehensive research on its impact on soil structure. This study utilizes advanced scanning electron microscopy technology to quantitatively evaluate the long-term effects of seasonal grazing
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Seasonal grazing is a recognized and sustainable approach to livestock management, but there is still a lack of comprehensive research on its impact on soil structure. This study utilizes advanced scanning electron microscopy technology to quantitatively evaluate the long-term effects of seasonal grazing on grassland soil structure, focusing on soil pore distribution characteristics and particle size. The investigation offers a detailed visual representation of the arrangement of soil particles at a micro-level. In both grazed and ungrazed plots (NG), soil particles ranging from 0.005 to 0.05 mm and 0.075 to 0.25 mm in size were predominant, constituting 20% and 60%, respectively. In plots subjected to seasonal grazing (grazing in June and August, G68, and grazing in July and September, G79), micro-particles (0.002–0.005 mm) and particles sized 0.05–0.075 mm were significantly lower compared to NG. Scanning electron microscope (SEM) images demonstrate structural differences, with NG displaying a higher proportion of small to medium-sized particles, more small pores, and fewer large pores. Analysis of pore size and morphology reveals the prevalence of large pores in both grazed and ungrazed plots. Continuous grazing plots exhibit significantly higher proportions of large pores compared to NG, while seasonal grazing plots show no significant differences. Correlation analyses indicate associations between soil physicochemical properties, particle size, and pore structure. Total soil nitrogen (TN), total soil carbon (TC), and soil moisture positively correlate with 0.005–0.05 mm particle proportions, while EC is negatively correlated with 0.05–0.075 mm particles. This study enhances our understanding of the effects of grazing practices on soil structure and provides scientific evidence for sustainable land management.
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Open AccessArticle
Impact of China’s Energy-Consuming Right Trading on Urban Land Green Utilization Efficiency
by
Chaobo Zhou, Jingchan Wang and Zhiwei Wu
Land 2024, 13(6), 729; https://doi.org/10.3390/land13060729 - 23 May 2024
Abstract
China is facing development challenges, such as the red line of arable land, resource shortage, and tightening ecological and environmental constraints. In this context, improving land green utilization efficiency (LGUE) is not only an important undertaking to optimize the spatial layout of the
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China is facing development challenges, such as the red line of arable land, resource shortage, and tightening ecological and environmental constraints. In this context, improving land green utilization efficiency (LGUE) is not only an important undertaking to optimize the spatial layout of the country and improve resource carrying capacity but also an inevitable choice for the comprehensive green transformation of economic and social development. China’s energy-consuming right trading (ECRT) is an important energy transition demonstration policy; however, its effect on LGUE has yet to be scientifically evaluated in academic research. Using panel data of 260 prefecture-level cities in China from 2009 to 2021, this study first uses a difference-in-difference model to test the effect of ECRT on LGUE, analyze its transmission mechanism, and further examine the impact of urban characteristic heterogeneity on policy effects from multiple perspectives. Results show the following: (1) The pilot policy of ECRT significantly improves urban LGUE, as confirmed by robustness tests. (2) The ECRT pilot policy enhances urban technological innovation, promotes the upgrading of industrial structure, and thereby improves LGUE. (3) The ECRT has a more significant enhancement effect on the central and western cities, large-scale cities, and resource-based cities. (4) Government environmental protection assessment can have a positive moderating effect, that is, further amplifying the effect of ECRT on improving urban LGUE. In conclusion, we should solidly promote the construction of a unified national ECRT market, formulate policy implementation plans tailored to local conditions, and steadily improve LGUE. To a certain extent, this paper reveals the inherent logic of how ECRT affects LGUE, which provides opportunities for cities to improve LGUE through ECRT, and provides reference for promoting the comprehensive green transformation of economic and social development.
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(This article belongs to the Section Land Environmental and Policy Impact Assessment)
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Exploring the Response of Ecosystem Services to Socioecological Factors in the Yangtze River Economic Belt, China
by
Zhiming Zhang, Fengman Fang, Youru Yao, Qing Ji and Xiaojing Cheng
Land 2024, 13(6), 728; https://doi.org/10.3390/land13060728 - 23 May 2024
Abstract
Understanding the response of the mechanisms driving ecosystem services (ESs) to socioecological factors is imperative for regional sustainable ecosystem management. However, previous studies of the mechanisms driving ESs have focused more on the degree and direction (positive and negative) of effects on ES
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Understanding the response of the mechanisms driving ecosystem services (ESs) to socioecological factors is imperative for regional sustainable ecosystem management. However, previous studies of the mechanisms driving ESs have focused more on the degree and direction (positive and negative) of effects on ES supply or the supply–demand balance, while their nonlinear response processes have not been fully considered. In this study, a theoretical framework was developed through integrating land use/land cover data and supply and demand matrices with random forest models to assess response processes, including the relative importance and marginal effects, of essential factors that drive ES demand, supply, and supply–demand balance. Using the Yangtze River Economic Belt (YREB) as an example, our results indicated that the ES deficit regions (332 of 1070 counties or 14.45% of the area) of the YREB were located mainly in the three national urban agglomerations. Moreover, this study indicated that natural environmental factors (such as slope and precipitation) significantly influence the supply and supply–demand balance of ESs, while socioeconomic factors (such as cropland ratios and population density) profoundly influence the demand for ESs. However, cropland ratios were the most important drivers of ES supply, demand, and supply–demand balance in the YREB. Moreover, three types of response processes were identified in this study: logarithmic increase, logarithmic decrease, and volatility increase. Specific driving factors (e.g., proportion of cropland area, precipitation, population density, and slope) had significant threshold effects on the supply–demand balance of ESs. The turning points that can be extracted from these response processes should be recommended for ecosystem restoration projects to maintain regional sustainable ecosystem management.
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(This article belongs to the Section Land Environmental and Policy Impact Assessment)
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Safety Perceptions and Micro-Segregation: Exploring Gated- and Non-Gated-Community Dynamics in Quetta, Pakistan
by
Asifa Iqbal, Tahira Shaukat and Humaira Nazir
Land 2024, 13(6), 727; https://doi.org/10.3390/land13060727 - 22 May 2024
Abstract
Crime impacts residential neighborhoods not only through the loss of life and property but also by instilling a widespread fear among residents. To combat this fear, physical security measures like safety locks, gates, and high perimeter walls have proven effective in both developed
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Crime impacts residential neighborhoods not only through the loss of life and property but also by instilling a widespread fear among residents. To combat this fear, physical security measures like safety locks, gates, and high perimeter walls have proven effective in both developed and developing nations. This trend has led to the increased popularity of gated communities in Pakistan as a preferred housing choice. In addition to encouraging micro-segregation, these developments also attract a large number of residents. In order to better understand the differences in residents’ fear of crime in relation to their health and socio-economic status, this paper compares residential housing schemes in Quetta, Pakistan (gated and non-gated). Surveys and on-site observations in four different residential areas of the city underpin the methodology. The results suggest that past experiences of crime victimization strongly affect feelings of safety in both gated and non-gated communities. The study highlights the complex relationship between the perception of safety, health and well-being, socio-economic status, and the type of community, highlighting how these factors collectively influence respondents’ experiences and create micro-segregation.
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(This article belongs to the Special Issue Urban Micro-Segregation)
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