Land Use Situation Research Articles

Present Condition of the Protected Area of Endangered Asian Arowana (Scleropages formosus) Golden-Red in East-Central Sumatra, Indonesia

Abstract The only location for the protection of Arowana golden-red in its natural habitat is in east-central Sumatra. Currently, the area is being invaded by oil palm plantations. This research identified the present conditions in that conservation area, specifically focusing on land-use situation and aquatic organism distribution and diversity. We designated four sampling sites according to the stratification of river flows that pass through the Arowana golden-red conservation area and present land use. The research showed that oil palm plantation was the largest land use in the Arowana golden-red conservation area covering 61.2% (2,310.84 ha). The swamp forest which is the habitat of Arowana golden-red only remained at 6.99% (263.98 ha). In the study area, aquatic organisms were identified as 47 species with a total of 424 individuals: 7 genera of Benthos, 11 species of Planktonic algae, and 29 species of Fish. The diversity index was in the range of 0.46–2.45. The diversity of aquatic organisms was found to be comparable to or higher than other areas in Malaysia and Indonesia such as Aceh province and Kalimantan. However, only 31 individuals of Arowana golden-red were found in the swamp forest in Middle Mahato. This site should be a priority area to save the Arowana golden-red.

Allocating payments for ecosystem services under future multiple scenarios in the Yellow River Basin, China

Reasonable payments of Ecosystem Services (PES) standards are crucial to provide eco-environment management countermeasures. However, existing research on the unified coordination of future PES from the overall perspective is insufficient. This paper proposes a framework derived from the patch-generating land-use simulation (PLUS) model and the ecosystem services value (ESV) assessment method for allocation PES funds. The Yellow River Basin (YRB) was taken as a case study, which is a highly integrated and interconnected entity. The PLUS model was used to analyze various land-use situations from 2010 to 2020, and predict future land-use status under different development scenarios including natural development (ND), cropland conservation (CC) and ecological conservation (EC). The ESV approach was applied to calculate the ESV in nine provinces of the YRB, and propose optimized fund distribution schemes. The results showed that (1) The most significant land-use changes during 2010–2020 were impervious, forests, grasslands, and croplands, where the impervious increased by 22.47 % (4642 km2) and the forest increased by 9 % (7623 km2). (2) The total ESV in the YRB will be highest under EC scenario in 2030, at 729.16 billion CNY, and Qinghai, Sichuan, Gansu and Shandong will have the highest ESV under EC scenario. (3) The funds will reach lowest under EC scenario, at 13.35 billion CNY, while reach highest under CC scenario, at 13.58 billion CNY. (4) In any scenario, Qinghai and Gansu province will get the highest PES funds among nine provinces, and financial investment in the Qinghai Province needs to be increased. Based on our results, it is recommended to foster the exploration of horizontal compensation between the downstream provinces of Henan and Shandong, and the upstream provinces of Qinghai, Sichuan, and Gansu, in order to enhance the protection of the eco-environment. The findings can provide scientific guidance for improvement of the PES funds allocation in the YRB, and methodological references for other river basins.

ANALYSIS OF TAX ASSESSMENT BY ASSEMBLY AND PROPERTY DEVELOPMENT ACTIVITIES IN FRAGMENTED URBAN LANDS – GWANGJIN DISTRICT, SEOUL, SOUTH KOREA

Due to the land readjustment project in Gwangjin District, Seoul, Korea, in the 1970s, Gwangjin was characterized as a single-family residential area for individual households. Over the following 40 years, the land-use situation changed dramatically, and ironically, there is now a too-fragmented residential area and very insufficient commercial areas. We employed a balanced panel data analysis. The data for this study were 24,177 parcel tax assessments and land assembly, split, zoning change, and property development activities over nine years from 2011 to 2019. We found that de facto land assembly would affect the tax assessment by delaying it a year more than it is when the development is approved, while formal land assembly did not. Development activity itself increased the assessment for that year only. Finally, formal land assembly in the commercial zone increased the assessment only for the following year, while property development in the residential zone increased the assessment for that year only. We recommend that the government provide land-assemblyfriendly policy incentives to allow for much larger property developments in both residential and commercial zones. The research on land and property development activities’ impact on tax assessment can provide a reasonable basis for the government’s tax assessment institution building.

Spatio-Temporal Evolution of Key Areas of Territorial Ecological Restoration in Resource-Exhausted Cities: A Case Study of Jiawang District, China

Resource-exhausted cities usually face problems of environmental degradation, landscape fragmentation, and impeded ecological mobility. By clarifying the spatial heterogeneity of ecological restoration needs, efficient and coordinated ecological protection and restoration can be carried out. This study selected Jiawang District, a typical resource-exhausted city, and constructed an ecological security evaluation framework to determine the ecological source area from the three aspects of ecosystem service importance, ecological sensitivity, and landscape stability. The resistance surface was corrected with ecological sensitivity evaluation data, and ecological corridors and ecological nodes were identified using circuit theory. Finally, it explored the spatial and temporal evolution of the key areas of territorial ecological restoration in Jiawang District. This study indicates that: (1) In 2000, 2010, and 2020, the ecological source areas were 123.59 km2, 116.18 km2, and 125.25 km2, and the corresponding numbers of ecological corridors were 53, 51, and 49. The total lengths of the ecological corridors were 129.25 km, 118.57 km, and 112.25 km, mainly distributed in the northern and central areas of the study area. (2) The study area contained 17, 13, and 19 ecological pinch points in 2000, 2010, and 2020, respectively, 16, 20, and 15 ecological obstacle points, and 8, 24, and 33 ecological fracture points, respectively. Targeted rehabilitation of these key areas can significantly improve ecological connectivity. (3) The key area of territorial ecological restoration in 2020 was composed of 125.25 km2 ecological source area, 8.77 km2 of ecological pinch point, 12.70 km2 of ecological obstacle point, and 33 ecological fracture points. According to the present situation of land use, protection strategies are put forward.

Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China

Land-use maps are thematic materials reflecting the current situation, geographical diversity, and classification of land use and are an important scientific foundation that can assist decision-makers in adjusting land-use structures, agricultural zoning, regional planning, and territorial improvement according to local conditions. Spectral reflectance and radar signatures of time series are important in distinguishing land-use types. However, their impact on the accuracy of land-use mapping and decision making remains unclear. Also, the many spatial and temporal heterogeneous landscapes in southern Xinjiang limit the accuracy of existing land-use classification products. Therefore, our objective herein is to develop reliable land-use products for the highly heterogeneous environment of the southern Xinjiang Uygur Autonomous Region using the freely available public Sentinel image datasets. Specifically, to determine the effect of temporal features on classification, several classification scenarios with different temporal features were developed using multi-temporal Sentinel-1, Sentinel-2, and terrain data in order to assess the importance, contribution, and impact of different temporal features (spectral and radar) on land-use classification models and determine the optimal time for land-use classification. Furthermore, to determine the optimal method and parameters suitable for local land-use classification research, we evaluated and compared the performance of three decision-tree-related classifiers (classification and regression tree, random forest, and gradient tree boost) with respect to classifying land use. Yielding the highest average overall accuracy (95%), kappa (95%), and F1 score (98%), we determined that the gradient tree boost model was the most suitable for land-use classification. Of the four individual periods, the image features in autumn (25 September to 5 November) were the most accurate for all three classifiers in relation to identifying land-use classes. The results also show that the inclusion of multi-temporal image features consistently improves the classification of land-use products, with pre-summer (28 May–20 June) images providing the most significant improvement (the average OA, kappa, and F1 score of all the classifiers were improved by 6%, 7%, and 3%, respectively) and fall images the least (the average OA, kappa, and F1 score of all the classifiers were improved by 2%, 3%, and 2%, respectively). Overall, these analyses of how classifiers and image features affect land-use maps provide a reference for similar land-use classifications in highly heterogeneous areas. Moreover, these products are designed to describe the highly heterogeneous environments in the study area, for example, identifying pear trees that affect local economic development, and allow for the accurate mapping of alpine wetlands in the northwest.

Effects of Land Reclamation on Cultivated Land Benefit and Grain Yield

The land improvement project takes the land development project construction as an opportunity to improve the current situation of land use in the project area and improve the land utilization rate through scientific planning, layout of fields, construction of ridges and ridges, etc., and soil conservation of the farming layer. The project implementation can significantly improve the social, ecological and economic benefits of the project area.

Study on Spatial Optimal Allocation of Land Use in Fenhe River Basin

Land is the basis for the survival and development of human society, and it is also an important factor that restricts the development of social economy. It has become an urgent problem to make scientific and efficient use of limited land resources, formulate a scientific land use optimization scheme and promote the efficient and sustainable development of land resources. In this paper, taking Fenhe River Basin as the research area, combining the current land use data, remote sensing data and social and economic data, ArcGIS is used to evaluate the land suitability, and based on the planning constraint index and land use allocation theory, the land use space is optimally allocated. The main conclusions of the optimization are as follows: (1) Through the analysis of the present situation of land use and the comparative analysis of the quantitative constraint indicators of various regions, the total area of cultivated land has decreased compared with the original situation of land use, but it has actually increased and decreased, mainly in rural residential areas with convenient irrigation conditions and low and flat terrain, which are distributed on both sides of Fenhe River and its tributaries in Fenhe Valley, mainly in areas with serious soil and water loss in Luliang Mountains. It is required to return farmland to forest and grassland, and to restore it to forestry land and grassland, so as to keep good land in Taiyuan Basin and Linfen Basin. (2) The total area of urban and rural construction land has increased compared with the original land use status, mainly in the general suitable areas of agricultural land affected by human beings around the existing towns. Qingxu County has a good development foundation, which can give play to the urban-rural linkage mechanism and establish a satellite city of Taiyuan. (3) The overall layout of ecological land has not changed much, mainly increasing the water source protection in ningwu county, the dam along the river in the scenic spot, and the construction of green belt along the river of Fenhe River and its tributaries.

Spatio-Temporal Pattern and Spatial Disequilibrium of Cultivated Land Use Efficiency in China: An Empirical Study Based on 342 Prefecture-Level Cities

As an important resource for human survival and development, the utilization efficiency of cultivated land is directly related to national food security and social harmony and stability. Based on the stochastic frontier production function, this paper estimated the cultivated land use efficiency of 342 prefecture-level administrative regions in China from 2003 to 2019 and used spatial autocorrelation analysis and the Gini coefficient decomposition model to explore the spatial agglomeration and spatial disequilibrium of cultivated land use efficiency in China. The results showed the following: (1) Overall, the efficiency of cultivated land use in China has steadily improved since 2003, but the overall level remains low. The use efficiency of cultivated land decreases in the order of eastern, northeastern, western, and central regions, and the use efficiency of cultivated land in the central region increased the fastest. (2) From the perspective of the spatial dimension, the cultivated land use efficiency in urban areas of China has a multi-core structure of “high in the south and low in the north, high in the east and low in the west” and an obvious spatial differentiation pattern. At the same time, the spatial aggregation characteristics of cultivated land use efficiency have become more prominent with the passage of time. (3) There are obvious regional differences in cultivated land use efficiency in China, showing a downward trend as a whole, and the gap between regions is the main source of spatial non-equilibrium, followed by the super-variable density and the gap within regions. Revealing the temporal and spatial changes in cultivated land use efficiency is helpful to understand the present situation of cultivated land use and to formulating effective land use policies.

An Integrated Spatial Autoregressive Model for Analyzing and Simulating Urban Spatial Growth in a Garden City, China.

In the past, the research on models related to urban land-use change and prediction was greatly complicated by the high precision of models. When planning some garden cities, we should explore a more applicable, specific, and effective macro approach than the community-level one. In this study, a model consisting of spatial autoregressive (SAR), cellular automata (CA), and Markov chains is constructed. One It can well-consider the spatial autocorrelation and integrate the advantages of CA into a geographical simulation to find the driving forces behind the expansion of a garden city. This framework has been applied to the urban planning and development of Chengdu, China. The research results show that the application of the SAR model shows the development trend in the southeast region and the needs to optimize the central region and protect the western region as an ecological reserve. The descriptive statistics and the spatial autocorrelation of the residuals are reliable. The influence of spatial variables from strong to weak is distance to water, slope, population density, GDP, distance to main roads, distance to railways, and distance to the center of the county (district). Taking 2005 as the initial year, the land-use situation in 2015 was simulated and compared with the actual land-use situation. It seems that the Kappa coefficient of the construction-land simulation is 0.7634, with high accuracy. Therefore, the land use in 2025 and 2035 is further simulated, which provides a reference for garden cities to formulate a reasonable urban space development strategy.

Urbanization and land use change: A study in Vietnam

Abstract Land-use change is a human process aimed at transforming the natural landscape and emphasizing the role and function of land for socio-economic activities. However, we do not know how the land transition in Vietnam has been proceeding recently. Thus, this article aims to examine the current urbanization process of land conversion in Vietnam. To explore the current situation and recent change of land use, the author analyzed standardized databases and maps from reports of the Ministry of Natural Resources and Environment of Vietnam (MoNRE), the General Statistics Office of Vietnam (GSO), and the land cover map of Japan Aerospace Exploration Agency (JAXA). Research results show that the land transition in Vietnam has been similar to the world trend. The highest land conversion rate occurs in the North Central and Central Coast regions, but conversion of agricultural land for urbanization is mainly in the Red River Delta and Southeast. The study also noted some negative socio-economic impacts of land conversion on the lives of suburban residents.

A Statistical Prediction Model for Healthcare and Landslide Sensitivity Evaluation in Coal Mining Subsidence Area.

The purpose of this study is to compare the results of the frequency ratio (FR) model with the weight of evidence (WOE) and the logical regression (LR) methods when applied to the landslide susceptibility evaluation in coal mining subsidence areas. Key geological disaster prevention and control areas are taken as the research areas. Field investigation is carried out according to the recorded landslide disaster points in the past five years, and 86 landslide disaster points are determined from the remote sensing satellite images. Furthermore, 12 factors affecting the occurrence of landslide are selected as landslide sensitivity evaluation factors. Among them, slope degree, curvature, elevation, and slope aspect are derived using the digital elevation model (DEM) through 30 m × 30 m resolution. The DEM datasets are derived from the geospatial data cloud, lithology datasets are derived from the geological lithology maps, and land use type map is derived from the current situation of national land use. The distances between roads and coal mining subsidence areas are calculated according to field investigation and remote sensing image interpretation results. In addition, the evaluation model includes an annual rainfall distribution map. Finally, the accuracy of three models is compared by ROC curve analysis. The elevation results demonstrate that the frequency ratio-logic regression (FR-LR) model takes the maximum accurateness of 0.913, subsequent to the FR model and the frequency ratio-weight of evidence (FR-WOE) model, respectively. Thus, using LR method based on the FR model has guiding significance for predicting the landslide sensitivity in coal mining. This reduces probable risks and disasters that affect human health. Subsequently, this ensures higher safety from the healthcare perspective in the mining fields.

Land-Use Classifying and Identification of the Production-Living-Ecological Space of Island Villages—A Case Study of Islands in the Western Sea Area of Guangdong Province

Accurately identifying the rural production-living-ecological space (PLES) of different islands can help reveal their distinct natural resources and land-use situations, which is significant for the sorted management, subarea utilization, and protection of islands. At present, studies on the PLES of island villages are deficient. For instance, the existing land-use classification system is incomplete; the PLES is poorly identified; and the dominant function of multiple land-use types based on different island geomorphology types is insufficiently investigated. Therefore, a case study was conducted on the island villages of the western sea area of Guangdong Province, based on remote sensing, spatial analysis, and land classification, with field research and the relevant data. In this study, before establishing the PLES system, the islands were classified, including six bedrock islands, 10 sedimentary islands, and one volcanic island. When the PLES system of the island villages was classified, the ecological and utilized areas of the intertidal zone and neritic region should be combined with the island–continent part, and the distinct industrial types should be emphasized, before forming 22 secondary types of PLES. Furthermore, it is found that each island generally has its own dominant space and land-use type. Ecological space (ES) dominates the bedrock islands, and production space (PS) is prominent for sedimentary islands and volcanic islands. Forestland, aquaculture pond, and dryland are the prominent land-use types for bedrock islands, sedimentary islands, and volcanic islands, respectively. The rural residential lands are the main component of living space (LS) in all islands, and the most urban residential lands are distributed on the bedrock islands. The main driving factors for the formation and distribution of island rural PLES are the altitudinal gradient and geomorphic characteristics. The research shows that the main problems of PLES are that the intertidal zones are threatened by aquaculture ponds at various levels, and the development of LS in these islands is generally backward.

Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China

ABSTRACT Cellular automata (CA) model is a useful tool for simulating spatiotemporal changes of land-use evolution. However, previous CA models have usually ignored the inhomogeneous and mixed land-use situations and simplified the land grid cell as one single land-use type. This study developed a multi-label (ML) convolutional neural network CA (ML-CNN-CA) model to simulate the complex evolution of mixed land uses. The multi-label learning strategy in the proposed model can formulize mixed land uses by labeling multiple land-use types to each grid cell. The transition rules of CA were modified to accommodate the multi-label learning strategy and mined by coupling a CNN network and three interactive mechanisms, including the neighborhood effect, adaptive inertia coefficient, and random factor. The proposed ML-CNN-CA model was applied and examined in a fast-developing city (Huizhou) in the China’s Pearl River Delta region for the mixed land-use simulation during 2009–2013 and 2013–2020. The ML-CNN-CA model with different CNN architectures and a previous artificial neural network (ANN)-based multi-label CA model were also implemented for comparisons. Results show the capability of the ML-CNN-CA model to simulate fine-scale mixed land-use changes with satisfactory performances. Specifically, the simulated mixed land-use patterns agree well with the actual land uses from the morphological perspective. Furthermore, the quantitative assessments demonstrate the performance of the proposed model, showing an accuracy value of 0.912 for 2009–2013 and 0.896 for 2013–2020, and a hamming loss value of 0.048 for 2009–2013 and 0.055 for 2013–2020. The comparisons also show the best performance of the ML-CNN-CA model with the VGG-based architecture and significant outperformance of the proposed model against the previous ANN-based CA model. Multiple sensitivity analyses were also conducted to investigate the uncertainty of the proposed model. The ML-CNN-CA model proposed in this study can provide a new tool for better simulation of fine-scale mixed land-use changes and is expected to help formulate urban planning guidelines and achieve sustainable urban development.

Influence of Urban Agglomeration Expansion on Fragmentation of Green Space: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration

Loss of green space habitats and landscape fragmentation are important reasons for the decline in environmental quality, degradation of ecosystem functions, and decline in biodiversity. Quantifying the spatio-temporal characteristics of landscape fragmentation of green space and its relationship with urban expansion mode is an important basis for improving urban development mode and enhancing urban ecological functions. For this paper, we took the Beijing–Tianjin–Hebei (BTH) urban agglomeration as the research object, a typical rapidly urbanizing area. Through multi-scale landscape pattern analysis and statistical analysis, the spatial–temporal evolution characteristics of green space fragmentation in the BTH urban agglomeration from 2000 to 2020 and the influence of urban expansion were analyzed, and the land-use situation in 2030 was predicted by the Future Land Use Simulation (FLUS) model. The main conclusions are as follows: The BTH urban agglomeration has developed rapidly in the last 20 years, showing the characteristics of diffusion and corridor development. The intensity and pattern of urban expansion have significantly affected the pattern of green space, leading to the intensification of domestic green space fragmentation. Among them, urban expansion exerts most severe effects on the fragmentation of farmland, followed by grassland and water. The influence of urban expansion on the scale and fragmentation of forestland is limited. The forecast results in 2030 show that built-up areas may continue to occupy green space. The rate of occupation of farmland will slow down while that of grassland will intensify.

Optimization of Landscape Ecological Security Patterns and Planning in Low Hilly Areas —A Case Study of Beigong Town, Fengtai District, Beijing City, China

With the continuous expansion of mega-cities in China, the landscape pattern of the original urban-rural area is broken, resulting in serious fragmentation of landscape patches in the fringe area of the urban center and threatening urban ecological security. Therefore, how to consider the needs for construction and development based on securing ecological security patterns is a key consideration for the fringe areas of megacities. The study takes Beigong Town as the research object and uses the MSPA model analysis method to extract nine ecological source sites that are important for ecological network construction. Then, the study constructs a comprehensive ecological resistance surface based on the MCR minimum cumulative resistance model, generates minimum cost paths to simulate regional potential corridors, and constructs the ecological security pattern in Beigong Town. The study further combines the current situation of land use in Beigong Town to optimize the ecological safety pattern and proposes the planning control systems, which provides the basis for the next planning and construction.

A land use optimization model of the multimodal passenger transportation hub on TOD mode based on strategy analyses

With the acceleration of urbanization, Station City integration and TOD mode have become the mainstream of the multimodal passenger transportation hub construction. Based on the single factor analyses of SWOT, this paper puts forward a cross factor analyses method which is suitable for the multimodal passenger transportation hub on TOD mode. Through three circle spatial structure and taking the plot ratio of various types of land as decision variable, the land use optimization model is established with the goal of maximizing public transport passenger flow, building good living and commercial conditions in the region and land value-added. Finally, this paper takes Beijing Fengtai station as an example. The results of SWOT analyses show that Fengtai station should focus on solving the problem of traffic distribution in the first circle, optimize the land use, form TOD area and promote land value-added in the second circle. The results of land use optimization model show that the current situation of residential land use around Fengtai station can meet the demand of TOD mode. However, the plot ratio of commercial and business land is low and the area is tight, so it is suggested to improve the plot ratio index of this types of land.

Potential Land Use Conflict Identification Based on Improved Multi-Objective Suitability Evaluation

Accurately identifying potential land use conflicts (LUCs) is critical for alleviating the ever-intensifying contradictions between humans and nature. The previous studies using the method of suitability analysis did not take full advantage of the current land use and multi-function characteristics of land resources. In this study, an improved model of suitability analysis was realized. In order to explore the LUCs status, including the types, intensity and distribution, a multi-objective suitability evaluation model was constructed from the perspective of production-living-ecological functions. And it was applied to Hengkou District, a typical region of the Qin-Ba mountainous area in the central part of China. The results show that the suitability distribution of living- production-ecological functions vary widely from the center to the periphery with altitude in Hengkou District; 22.03% of the land is at a risk of land use conflict. Among them, the high potential conflict areas account for 55.32%, and the conflicts between production and ecological lands (L2P1E1, L3P1E1) are the largest, which are located at the fringe of the central urban and ecologically dominant area. Therefore, it is necessary to adopt effective strategies to achieve a balance between the differential demands of land use. This research could better reflect the true situation of land use in ecologically sensitive mountainous areas and would provide theoretical and methodological support for the identification and prevention of potential LUCs.

Study on Implementation Strategies of Multifunctional Linear Underground Space: A Case Study in Beijing’s sub-center

DEVELOPMENT CONTROL PLAN FOR THE SUB-CENTER OF BEIJING (2016-2035) says, a facility service ring with complex functions, balanced layout and integrated above ground and underground space will be constructed, which is efficient integrated underground infrastructure, with a total length of about 36.5 kilometers, coordinating the construction of circular underground systems such as subway, utility tunnel, urban underground logistics, and automatic garbage collection and transfer, and jointly building municipal facilities such as hidden municipal facilities, multi-level rainwater control and utilization facilities, emergency evacuation facilities, underground peak-storage and peak-regulation facilities. Aiming at the feasibility of the project, though analyzing in detail the present situation and planning of land use, pipeline and underground space along the ring and surrounding areas, and fully sorting out the functions and space demand characteristics of the major systems in the facility service ring, deeply explore the advanced technologies such as urban underground logistics and automatic garbage collection and transfer, and propose the inclusive and multifunctional underground space implementation strategies, for the meticulous use of underground space.

Can improving law enforcement effectively curb illegal land use in China?

In view of the current severe situation of illegal land use in China, it is of great significance to explore the impact of the evolution and promotion of land law enforcement effectiveness, which will improve China’s land law enforcement system and effectively curb illegal land use. This paper explains the changes and enhancements of the effectiveness of land law enforcement since the implementation of China’s National Land Supervision System in terms of the deterrence, difficulty, and strength of land law enforcement, and explores the role of land law enforcement effectiveness in changing illegal land use behaviors from a theoretical level. Then, a corresponding empirical test was carried out using the provincial panel data of Mainland China from 2007 to 2016. The results show that the increase in land law enforcement deterrence and strength will help reduce the number of illegal land use cases, but it will drive the lawbreakers to "commit major cases in desperation", leading to the increase of the degree of illegal land use; and with the decrease of land law enforcement difficulty, the degree of illegal land use will be significantly reduced. At the end of this paper, several policy suggestions are put forward to effectively curb the illegal land use from the perspective of improving the land law enforcement system and enhancing the effectiveness of law enforcement.

Predicted influence of overhead transmission lines on land-use transfer: A case study on landscape and famous scenery

Taking Baihetan—Jiangsu ±800kV UHVDC power transmission project as an example, the influence of tower foundation on land-use types and functions were predicted using ArcGIS platform and eCognition Developer. Through the construction of land-use transfer matrix analysis, the change of land-use transfer situation and structure were discussed. Our results showed that the forest transfer intensities (RT) of Tangya River Scenic spot and Three Gorges Scenic area were 0.64 and 1.49 respectively, the RT of bushes and grasses in Tangya River Scenic spot and Three Gorges Scenic area were 1.01 and 0.37. The RT of forest, bushes and grasses were both not high. The permanent occupation area of project was all transferred into building land, the construction land dynamics degrees (KT) of Tangya River Scenic spot and Three Gorges Scenic area were +0.40% and +0.031% respectively, which were both low. Thus we drew a conclusion that the project construction would have a slight impact on land use pattern and function and would not affect the overall ecological function and structure of landscape and famous scenery.