Sustainable Use Of Land Resources Research Articles

Transfer analysis of land-use type gravity center based on Landsat data - A case study of Zhoushan, China

Based on the Landsat images of 7-time phases from 1984 to 2016, this paper analyzes the center of gravity transfer of land types in Zhoushan City, China. The research shows that the center of gravity migration distances of construction land, forest land, water, tidal flats, cultivated land/grassland and bare land are 1.80km, 0.37km, 4.27km, 3.84km, 0.55km and 1.60km respectively. The construction land expands along the coastal plain of each island, leading to the gradual encroachment of cultivated land/grassland and the spatial distribution of cultivated land/grassland tends to be discrete. This study will provide data support for the rational decision-making of land resource management in Zhoushan City and promote the sustainable use of land resources.

Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method

Regional ecological security assessment is a significant methodology for environmental protection, land utilisation, and human development. This study aims to reveal the regional constraints of ecological resources to overcome the difficulties and complexities in quantification of current models used in land ecosystems. For this purpose, the technique for order preference by similarity to an ideal solution (TOPSIS) was linked to a grey relational analysis and integrated with a geographic information system. The obtained method was used to construct a land eco-security evaluation on a regional scale for application in a traditional mining city, Daye, in central China. Parameter analysis was introduced to the method to produce a more realistic spatial distribution of eco-security. Subsequently, based on the pressure–state–response framework, the eco-security index was calculated, and the carrying capacity of land resources and population for each sub-region were analysed. The results showed that: (i) very insecure and insecure classes comprised 5.65% and 18.2% of the total area, respectively, highlighting the vulnerable eco-environmental situation; (ii) moderate secure classes areas comprised a large amount of arable land, spanning an area of 494.5 km2; (iii) secure areas were distributed in the northwest, containing mostly water and wetland areas and accounting for 426.3 km2; and (iv) very secure areas were located on the southeastern region, involving traditional woodland with a better vegetation cover and an overall higher eco-environmental quality. In addition, for each sub-region, the extremely low and low ecological security areas were mainly arable and urban lands, which amounted to 305 and 190 km2, respectively. Under the current ecological constraints, sub-region 1 cannot continue supporting the population size in Daye City. The present results demonstrate the accuracy of our methodology, and our method may be used by local managers to make effective decisions for regional environment protection and sustainable use of land resources.

An empirical study on the potential of land resources utilization in urban agglomeration development zones based on combination analysis

To alleviate the contradiction between human and land caused by the limitation of land resources and the irreversibility of land use in the development zone of urban agglomeration, 24 indexes were selected from four aspects: land use status, resource security, economic feasibility, and social acceptability to establish the level evaluation index system for the sustainable use of land resources in Baoding high-tech zone; also, the combination weighting method was used to determine the development level. The index weight of land resource utilization potential in the development zone was established. The subjective and objective linear combination was also established to obtain the proportion of subjective and objective. The multi-factor comprehensive evaluation model was used to evaluate the sustainable utilization degree of land in the high-tech zone. The comprehensive analysis of land-intensive use potential was made from five aspects: expansion potential, structure potential, intensity potential, management potential, and the number of years of land available; the analysis of the limiting factors and the combination of these factors of the land in the development zone was made to obtain the natural index after the renovation, and the natural quality potential of the cultivated land renovation was obtained according to the difference of the natural index before and after the renovation. The empirical results show that the high-tech zone’s land-use rationality index is relatively high during 2014-2018. During the evaluation period, the index continued to rise; the high-tech zone's resource security score was low, and there was no change during the evaluation period, which is basically at a low level. During the five years, the high-tech zone’s land-use sustainability has experienced the fluctuation process of first rising and then declining, which is in the stage of medium sustainable development. In the future, the potential for improvement is enormous. The prospect of the high-tech zone’s exploitable land structure is small, and the land structure is relatively reasonable, which is in line with the development orientation of the high-tech site. But the industrial land intensity in the zone also has a specific potential for excavation. The high-value areas of the natural quality potential of the land improvement in the high-tech site are mainly distributed in the west, northeast, and a few in the north and south.

A Comparative Study on That Design of Agricultural Canal in Ecological and Traditional Renovation of Agricultural Land—Take a Project Area in Lingchuan County, Guilin City, Guangxi, China as an Example

In the current context of vigorously promoting the construction of ecological civilization, land consolidation in the construction of the constant pursuit of ecological design, to achieve sustainable use of land resources, China has made great progress in ecological land consolidation. In this paper, through the comparison of flow design and cross section design of agricultural canal design in ecological land remediation and traditional land remediation, the characteristic design of some agricultural canals in ecological land remediation was introduced, and the ecological, social and economic benefits of two land remediation methods were systematically analyzed. The analysis shows that ecological agricultural canals play a great role in protecting biodiversity, alleviating the contradiction between people and land, saving energy, purifying water resources and improving land quality, the research result has provided the basis and the model for the land consolidation in carrying on the ecology type ditch design.

Developing land capability to reduce land degradation and disaster incident in Bendo Watershed, Banyuwangi

Land degradation have caused decline in land productivity and triggering landslide incident in Bendo Watershed. This area has been selected as study area which represent characteristic upland area of the region. The research examines land capability analysis in order to reduce land degradation and disaster incidents and for sustainable use of land resources. The geomorphology approach was used along with sixteen of landform unit as unit sample. Further, artificial neural network models were used to classify land capabilities. Network architecture 10-8-1 was used on classification process due to the lowest error value factors. The findings of the study present that 20, 46% of Bendo watershed are prone to land degradation. Physical characteristic within area are contributing increasing land degradation. The capability classes of Bendo watershed ranges from class II to class VII. The upstream areas have erosion and intensive landslides as its limited factors, hence tend to have poor land capability classes. While the middle to downstream areas of Bendo watershed have better land capability classes with more diverse land use recommendations.

The Marketization of Rural Collective Construction Land in Northeastern China: The Mechanism Exploration

The transfer of rural collective construction land into the market (RCCL marketization) is an important starting point for breaking the urban–rural dual system, realizing the sustainable use of land resources and promoting the integrated development of urban and rural areas in China. This study aims to explore the decision-making of rural households in the marketization of rural collective construction land (RCCL) by constructing a two-stage (cognition-decision) theoretical framework. Based on the household survey data collected from the pilot areas in the three northeastern provinces in China, the structural equation modelling (SEM) has been applied. The main findings are as follows: (1) the four types of exogenous latent variables, including information dissemination, management of collective economic organizations (CEOs), family characteristics, and household head characteristics, are intermediary by household cognition, which then positively affect households’ behavior and decision-making. (2) among the factors affecting household cognition, the management of CEOs exhibits the most significant impact, followed by information dissemination, family characteristics, and household head characteristics. (3) the measurable variables, including participation rights, whether there are collective operating assets, education level, and whether members have social insurance, have significant effects on the four exogenous latent variables. (4) the understanding of income distribution policy has the greatest positive impact on household cognition, while risk perception has the opposite effect, indicating an obvious “risk aversion” tendency for rural households. The findings imply that the government should improve the existing RCCL market entry system from the aspects of strengthening collective economic organization construction, land value-added income sharing mechanism, and clarifying rural land property rights, so as to reduce farmers’ decision-making risks and enhance value perception. Overall, the research presented here contributes to investigating the theoretical mechanism of household decision-making and providing empirical evidence on how to improve the marketization of rural collective construction land in China.

COMBINATION OF ENVIRONMENTAL FACTORS INTO LAND USE PLANNING IN MO DUC DISTRICT - QUANG NGAI PROVINCE

Land-use planning is a strategy of appropriately managing the use of land resources. However, there would be numerous factors derived from nature, economics and society potentially affecting implementation of the land use planning. Therefore, the sustainable use of land resources can only be achieved through a combination of economic, social and environmental factors into land-use planning. The assessment of the environmental status coupled with environmental matrix methods and scoring methods allows us to pick out investigated factors having most negative impact on land use and land use planning in Mo Duc - Quang Ngai. Thereby, the current study was conducted to incorporate the economic, social and environmental factors as well as introduce a multiple criteria approach into implementation of land use planning in the district.

Irrigation suitability evaluation of Zamra irrigation scheme, Abergelle District of Wag-Himra Zone, Amhara Region Ethiopia

BackgroundAssessment of suitable lands for irrigation is indispensable to plan and implement different programs in a cost-effective approach for sustainable land use planning and efficient utilization of the land. Hence selecting proper land use based on land suitability evaluation will enhance the productivity per unit area and ensures the sustainable use of land resources. Therefore, the research was designed to evaluate the suitability of the soil properties of Zamra irrigation scheme for irrigation purposes.MethodFor this study about 195.16 ha of land were evaluated for irrigation suitablity. Four soil profile pits were opened in the representative site of the scheme based on slope, texture, soil color and soil depth. Soil samples were collected from the soil mapping units for analysis of texture, electrical conductivity, and calcium carbonate content, whereas slope, drainage and soil depth were directly measured at the field. The evaluation was carried out using a parametric evaluation method.ResultsThe results of the study revealed that four types of soils were identified namely, Rehodic Nitisol(eutric), Haplic Regosol (eutric) Eutric Regosol, Leptic Regosol (eutric, loamic), and Vertic Cambisol (Hypereutric). The soil texture consists of sandy loam and sandy clay loam at the surface and subsurface soil and the soil depth of study area varied from shallow to very deep. The soil of the scheme was free from salinity and the status of calcium carbonate was at a low level. The slope of the study area was ranged from flat (0–3%) to slopping (8–15%). Generally, 80.64 ha (41.32%) of the scheme was moderately suitable whereas 71.68 ha (36.73%) of the land was marginally suitable for irrigation. Due to major limiting factors of soil depth and slope about 42.84 ha of the land (21.95%) were not currently suitable for irrigation.ConclusionIn the study area, the major limitations were slope and soil depth. Therefore, to increase production and productivity of the scheme, land improvement operations are suggested.

Analysis of Temporal and Spatial Evolution and Influence Factors of Cultivated Land in Pearl River Delta Based on GIS

In order to better explore the characteristics of the spatiotemporal changes of cultivated land, this paper comprehensively considers the utilization change of cultivated land in the Pearl River Delta from the multiple dimensions of the dynamic degree of cultivated land quantity change, location entropy, flow change, relative change rate of utilization, center of gravity, spatial characteristics of change rate, etc. from 2000 to 2014, in order to manage land use better and provide references for the protection of cultivated land, food security and sustainable use of land resources. The results show that the cultivated land and per capita cultivated land area in the Pearl River Delta region both showed a rapid decline and decreasing trend at the beginning, and then gradually eased. The degree of arable land use continues to increase and has developed from extensive to intensive. From the perspective of space, the rapid economic development areas such as Guangzhou, Foshan, Dongguan and Zhongshan have suffered serious loss of cultivated land. The demand for various types of construction land is constantly expanding. The adjustment of agricultural structure has exacerbated the non-agriculturalization of cultivated land. On the whole, the use of cultivated land in the Pearl River Delta has a tendency toward the south.

A Production–Living–Ecological Space Model for Land-Use Optimisation: A case study of the core Tumen River region in China

The study of production–living–ecological space (PLES) is essential for the sustainable use of land resources and regional socioeconomic development, and several studies have adopted PLES-based evaluation indices. However, few studies have investigated the effects of governmental regulation and human activity on the optimal allocation of land for different uses. Crucially, the non-optimal use of land by urban decision-makers leads to multiple problems including wasting potential land resources and trade-offs between economic development and environmental protection. Therefore, in this study, we developed a multi-spatial agent-based optimisation model (MSABOM) coupled with a multi-agent system (MAS) within a machine-learning framework. The MSABOM determines spatially optimised land-use solutions based on the small-scale land-use preferences of stakeholders, and addresses conflicts in the sub-optimal allocation of resources based on the behaviours of model agents and the decision-making environment. The Yanbian Korean Autonomous Prefecture in China was used as a case study to demonstrate the effectiveness of this approach. The results show that (1) the MSABOM can significantly improve the optimisation of PLES, improving the land utilisation rate by 1.22 times; (2) based on an understanding of existing practices, the optimal allocation plan obtained by the agent-based model is more suitable than that obtained by a non-agent-based model; (3) multi-functional land-use patterns can be optimally allocated in space and time, which is extremely useful for coordinating stakeholder participation and addressing conflicts of interest in land-use behaviours; and (4) an urban spatial development coefficient was successfully used to determine the dominant function and functional positioning of PLES, which helps ensure flexible development strategies for spatial planning.

AUTOMATED UPDATING OF FOREST COVER MAPS FROM CLOUD-FREE SENTINEL-2 MOSAIC IMAGES USING OBJECT-BASED IMAGE ANALYSIS AND MACHINE LEARNING METHODS

Abstract. Planning sustainable use of land resources and environmental monitoring benefit from accurate and detailed forest information. The basis of accurate forest information is data on the spatial extent of forests. In Norway land resource maps have been carefully created by field visits and aerial image interpretation for over four decades with periodic updating. However, due to prioritization of agricultural and built-up areas, and high requirements with respect to the map accuracy, forest areas and outfields have not been frequently updated. Consequently, in some part of the country, the map has not been updated since its first creation in the 1960s. The Sentinel-2 satellite acquires images with high spatial and temporal resolution which provides opportunities for creating cloud-free mosaic images over areas that are often covered with clouds. Here, we combine object-based image analysis with machine learning methods in an automated framework to map forest area in Sentinel-2 mosaic images. The images are segmented using the eCogntion™ software. Training data are collected automatically from the existing land resource map and filtered using height and greenness information so that the training samples certainly represent their respective classes. Two machine learning algorithms, namely Random Forest (RF) and the Multilayer Perceptron Neural Network (MLP), are then trained and validated before mapping forest area. The effects of including and excluding some features on the classification accuracy is investigated. The results show that the method produces forest cover map at very high accuracy (up to 97%). The MLP performs better than the RF algorithm both in classification accuracy and in robustness against inclusion and exclusion of features.

Analysis on Spatial Pattern Changes of Land Resources Utilization and Soil Pollution Sources in the New Period

Land use change is an important part of global change, and land use research has also become the focus of global change research. With the growth of population and the economic development of society, the relationship between human beings and land is getting closer and closer, and the interaction is getting stronger and stronger. The resources and environmental problems brought by it have also received strong attention from all walks of life. The use of change has become a major factor in environmental change. At present, environmental problems have become the key link in ecological problems, and in environmental problems, soil pollution is one of the major sources of pollution. Soil pollution can affect crop yields and even contaminate groundwater, so soil pollution has always been a key link in pollution prevention. This paper introduces the connotation and related theories of land resource utilization change, and analyzes the formation and classification of soil pollution sources and the problems of land resource space utilization in the new era. On the basis of reviewing the status quo of soil pollution in China, this paper analyzes the risk analysis and damage of soil pollution, and studies the spatial and temporal pattern change of land use and soil pollution control countermeasures in the new period. In recent years, China’s environmental problems have become increasingly prominent, including soil pollution is relatively serious, soil pollution has a certain uniqueness, relatively hidden, lagging and long-lasting, it will cause pollution to crops and food, which in turn affect people’s health and soil pollution. Not only does it affect humans through crops, but it can also enter the human body through direct contact or breathing, causing harm to the human body. The research and analysis in this paper is to achieve the sustainable use of land resources in the new era and to ensure that people have access to adequate and safe food and living environment.

Internet of Things Technology in Monitoring System of Sustainable Use of Soil and Land Resources

With the development of global economy, the sustainable use of land resources has become a key research topic in the current social and economic development. To do a good job in the sustainable use of land resources can solve such problems as waste of land resources, quality degradation, environmental damage, ecological imbalance and so on. How to realize the sustainable utilization of resources, the first thing to be solved is the sustainable monitoring of land resources. At present, many researches have been done in this field at home and abroad, but in conclusion, there are some problems, that is, the basic theory is not deep and the practical application is less. Therefore, this paper will study the application of the monitoring system of the sustainable use of soil and land resources under the support of the Internet of things big data technology, and establish a practical monitoring system of the sustainable use of land resources. The monitoring system in this paper makes full use of modern science and technology. On the basis of intelligent technology, combined with the actual situation of land resources in China, according to the practical problems, the construction principles of evaluation index system and index construction are established. In the aspect of monitoring system construction, we have greatly optimized the traditional construction method, which makes the system in this paper have better adaptability, scalability and accuracy. In order to further verify the reliability of the system, this paper carries out the performance test, accuracy test, and monitoring test in extremely harsh environment. Finally, the data show that the system can be applied to most of the land environment to monitor the sustainability of land resources.

Application and Development of Big Data in Sustainable Utilization of Soil and Land Resources

Land is an important part of our living environment. As far as China is concerned, the research on Sustainable Utilization of land resources is relatively late. At present, there is not a complete set of principles of land resource evaluation index system in China. The relevant research is more theoretical, and the actual application cases are less. In the context of the urgent need for development of the national economy, it is an urgent problem to improve the sustainable utilization rate of land resources, which will directly affect the structural reform and the overall strategy of our country. Therefore, based on the big data of the Internet of things, combined with RS and GIS and other related intelligent technologies, this paper establishes a set of evaluation model for the sustainable use of land resources. The method in this paper is to establish the index evaluation system first, then carry out data preprocessing through GIS and RS technology, and finally use big data technology for data mining. According to the actual situation of land resources in China, Delphi method is used as the main qualitative technical analysis method to set a reasonable weight for the evaluation index system of land resources. In order to verify the effect of this method, when analyzing the land resource data of a county from 2009 to 2018, this paper carried out four experiments including the overall trend analysis of land sustainable utilization. The experimental data results show that the use of big data in this paper has achieved ideal results in the application of land resource sustainable utilization, and to a certain extent, it fills in the big data and land The case study in the field of sustainable utilization of resources is a good method and has a broad application prospect.

Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

In terrestrial landscape architecture, land surface temperature (LST) is a key estimator of local climate, vegetation growth, and urban transition. It also represents the environmental factors that influence the land cover patterns using temperature variation over land use land cover (LULC) classes. In the present study, various geospatial techniques have been implemented to analyze the spatio-temporal trends in temperature among different LULC of an arid Potohar region of Pakistan using Landsat 7 (ETM+) and 8 (OLI & TIRS) and the relationship between different normalized satellite indices and LST. Results of the seasonal fluctuation in winter showed temperature range of 0–57, 0–50, 04–31 and 7–39 °C for the year 2000, 2005, 2010, and 2015, respectively, while the summer exhibited the temperature range of 24–48, 27–57, 22–48, and 12–41 °C for the year 2000, 2005, 2010, and 2015, respectively. The analysis established a direct correlation between LST and normalized difference vegetation index and normalized difference water index, and an indirect correlation among LST and normalized difference soil index, normalized difference built-up index and built-up index. The findings are critically important for planning and development division for sustainable use of land resources for urbanization extension projects. Future research will highlight the change in the area occupied by different land featured classes and their impacts on LST over a specified period.

Role of brownfields regeneration in sustainable use of natural resources

With growing importance of the global economy, one of the basic natural resources - intensity of land use - is also increasing, which often is the cause of land degradation processes. The causes and manifestations of brownfields are diverse, and their elimination is the first prerequisite for the sustainable use of land resources and development of each region. Improvement, maximal and efficient engagement in economic activity of brownfields is one of the key challenges for sustainable resource use that makes significant contribution to regional development. The reuse of brownfields has significant impact on sustainable development as it meets all three of its objectives: improving the economy, improving social cohesion and the environment. The aim of the article is on the basis of special literature examples to examine issues of sustainable development, evaluation and restoration of brownfields, transformation of brownfields into recreational areas, as well as further use of brownfields in cities and rural areas.

Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China

The evaluation of urban land use efficiency (ULUE) plays an important role in achieving the sustainable use of land resources. Illustrated with an empirical study on the evaluation of ULUE of 13 cities in Jiangsu, China, this paper develops an efficiency evaluation approach for measuring the ULUE with respect to interacting sustainability-related criteria, using bipolar measurement. The approach incorporates the merits of the decision-making trial and evaluation laboratory method, a new causal-effect analysis process, the Bi-TOPSIS method, and convergence models. As such, this paper addresses three important issues: (a) how to identify key criteria and their interactions for evaluating the ULUE of cities; (b) how to obtain the ULUE performances of cities, with benchmarks that clearly demarcate ‘satisfactory’ from ‘unsatisfactory’ performances, and (c) how to measure the dispersion of the ULUE performances across cities over time. The results from the empirical study suggest that the ULUE of most Jiangsu cities is below the city planner’s expectation. The ULUE of Central Jiangsu cities is better than their neighboring cities, and the cities with low ULUE tend to catch up with higher ULUE cities. However, the gaps between their ULUE performances will still exist. Each city’s ULUE performance can only converge to its own steady state over time. To help cities achieve a better ULUE performance, policy suggestions are recommended.

Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

Previous studies have rarely revealed the characteristics and influencing factors of land use transformation (LUT) in poverty-stricken areas, where multiple actions of cultivated land protection are undertaken. The land use conversion matrix and Spatial Durbin Model were used to analyze the characteristics and influence factors of LUT based on remote sensing interpretation data of Sangzhi County in 2010, 2015, and 2018. The results demonstrate the following: (1) From 2010–2018, cultivated land, forest land, waters, and urban and rural construction land in Sangzhi County increased by 4.91%, 0.03%, 58.99%, and 55.63%, respectively, and grassland decreased by 13.32%. (2) Terrain, territorial, and traffic conditions were common influence factors of the land use type conversion (i.e., forest land to cultivated land, grassland to forest land, cultivated land to forest land, grassland to cultivated land, and cultivated land to urban and rural construction land). The conversion of land use type has a negative effect on the land use type conversion of adjacent townships. Territorial and traffic conditions affect the land use type conversion of adjacent townships. The results illuminate LUT at the township scale in mountainous areas and are beneficial to promoting the sustainable use of land resources and poverty alleviation.

Study on the Land Ecological Security and early warning in Shenzhen

Land is the foundation of human survival and development, and safe land ecological condition is the decisive factor in ensuring security and stability. As the land use intensity continues to deepen and the scope continues to expand, its irrational use has caused a series of ecological security problems. Therefore, studying the relationship between land use and ecological security in the region has become an urgent problem for the current land science. Based on the improved TOPSIS method, this paper constructs a comprehensive evaluation model of urban land ecological security. The results show that land ecological pressure contributes the most to the land ecological security system. The increase of urban population density, the expansion of construction land and the increase of industrial waste emissions will affect the ecological security of the land; since 2004, Shenzhen’s land ecological security and development has gone through several stages, from primary ecological coordination to good ecological coordination - ecology Hysteresis type. It is necessary to vigorously establish and improve the land ecosystem. Besides, we need to actively carry out land ecological security warning supervision and promote the maintenance of land ecosystems and the sustainable use of land resources in Shenzhen.

Farmer-Based Rice Cropping Systems in the Poyang Lake Region, China: Analysis of Characteristics and Policy Implications

This paper examines the spatial characteristics of farmer/household behaviors in regional rice cropping systems (RCS), and the results provide necessary information for developing strategies that will maintain regional food security. Through field study and statistical analysis based on 402 households questionnaires finished in 2014-2015 in the Poyang Lake Region (PLR) of China, we arrived at two main conclusions. First, single- and double cropping rice were found across the study area, but showed a general distribution trend, with double cropping rice in the southeast part (especially in Jinxian county) and single cropping rice in the northwest (particularly in De'an county). Second, the household decisions concerning RCS varied in different parts of the PLR, but double cropping was the dominant type, with about 63.57% of the respondent households in the PLR cultivating double cropping rice. However, the multiple-cropping index of paddy rice was only 1.55. About 3% of interviewed households had altered their RCS during this period. Based on these findings, the local governments should guide farmers' paddy field cultivation behaviors by increasing the comparative efficiency of rice production, promoting appropriate scale operations and land conversion, as well as optimizing rice growing conditions to improve the multiple cropping index and enhance food provision. Finally, land-use efficiency and more sustainable use of land resources should be improved.