scholarly journals Study of Multiple Land Use Planning Based on the Coordinated Development of Wetland Farmland: A Case Study of Fuyuan City, China

2019 ◽  
Vol 11 (1) ◽  
pp. 271 ◽  
Author(s):  
Bingmiao Zhu ◽  
Xun Zhu ◽  
Ran Zhang ◽  
Xiaolong Zhao
Keyword(s):  
Land Use ◽  
Rapid Development ◽  
Arable Land ◽  
Land Development ◽  
Wetland Conservation ◽  
Chain Model ◽  
Wetland Protection ◽  
Coordinated Development ◽  
Farmland Conservation ◽  
Business As Usual

Fuyuan City is located in the black soil region of northeast China. Its fertile soil and flat terrain provide a reliable guarantee for the scale, intensification, and standardization of farmland. A large amount of land resources that can be used for the national food base has been developed, and the contradiction between the need for wetland protection and arable land development has become increasingly prominent. Based on the remote sensing data of 2000, 2005, and 2010, this paper simulates the future land use/land cover changes structure in Fuyuan City based on the Markov Chain model. According to the characteristics of Fuyuan City’s structure, economy, society, and natural environment, within the overall planning of the city, we explore three scenarios: business-as-usual scenarios, farmland conservation scenarios, and wetland conservation scenarios. The results revealed the following: (1) Under the business-as-usual scenario, the rapid development of Fuyuan City showed the characteristics of the continued expansion of urban area and the reduction of farmland and wetland area in 2020 compared with 2010. (2) Under farmland conservation scenarios, farmland was well protected and stable, while construction land expansion was restricted. (3) Under wetland conservation scenarios, wetland increased dramatically, which mainly derived from farmland, grassland, and unused land. According to the result, optimized countermeasures are proposed to balance the coordinated development of farmland and wetlands, to deepen the multiperiod planning of land use in Fuyuan City and to provide data support and a basis for decision-making.

Application of the Powers of Governors’ to Charge Ground Rent Under Nigeria Land Use Act of 1978

2015 ◽  
Vol 73 (5) ◽  
Author(s):  
Onuoha Iheanyichukwu Joachim ◽  
Norhaya Kamarudin ◽  
Godwin Uche Aliagha
Keyword(s):  
Land Use ◽  
Rapid Development ◽  
Land Development ◽  
Effective Application ◽  
The Government

This study examined the Governors’ powers to charge ground rent and revoke certificate of occupancy in Nigeria under the Land Use Act of 1978 in relation to its impacts on land development. The study found out that there is lack of clarity in the assessment, double payments in the collection of ground rents and loss of revenue by the government. This review strongly suggests that for effective application of ground rent that ensures rapid development of land, there should be an amendment of section 5 (1) of the Act, elimination of frequent revision of ground rent and the use of qualified Estate Surveyors and Valuers in the assessment and collection of ground rents.

scholarly journals Human Activities Introduced Degenerations of Wetlands (1975–2013) across the Sanjiang Plain North of the Wandashan Mountain, China

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1361
Author(s):  
Jing Xie ◽  
Yeran Sun ◽  
Xiao Liu ◽  
Zhi Ding ◽  
Ming Lu
Keyword(s):  
Land Use ◽  
Agricultural Development ◽  
Arable Land ◽  
Wetland Loss ◽  
Sanjiang Plain ◽  
Rapid Expansion ◽  
Wetland Protection ◽  
Landsat Images ◽  
The Sanjiang Plain ◽  
Backtracking Analysis

Human-induced dramatic loss and fragmentation of wetlands need further understanding through historical backtracking analysis at a geographical landscape scale. In this study, we investigated time-series wetlands maps from 1975, 1983, 1989, 2000, 2006, and 2013 derived from Landsat images based on the object-oriented classification of wetlands across the Sanjiang Plain north of the Wandashan Mountains. The spatial and temporal changes in the wetlands that occurred at different time periods and the Euclidean distances between artificial land-use types and natural land-cover areas were evaluated for their impact. Our results showed that wetland was the dominant landscape in 1975; however, arable land became the main land coverage in 2013 owing to severe changes in agricultural development over the past decades. The closer to arable land, the greater the wetland loss during the entire investigated period; agriculture activities were the dominant driving force for the degradation of wetlands based on landscape changes; secondary was the rapid expansion in building land use (i.e., human settlement, transportation, and establishment of irrigation canals). More specifically, the rapid loss of wetland areas over 1975–2000 was mainly owing to extensive agricultural reclamation. The mitigated loss of wetland areas over 2000–2013 was because of the protection and restored implementation of wetlands under governmental policies. The wetlands of the study area suffered severe human disturbance, and our analysis may help explain the loss process of wetlands, but more effective management and administration is still needed to address the issues around the balance between agricultural production and wetland protection for further sustainable development.

scholarly journals Pengaruh Perkembangan Kegiatan Perdagangan dan Jasa terhadap Perubahan Penggunaan Lahan di Kawasan Solo Baru

Arsitektura ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Dina Arifia ◽  
Soedwiwahjono Soedwiwahjono ◽  
Rizon Pamardhi Utomo
Keyword(s):  
Land Use ◽  
Rapid Development ◽  
Land Use Changes ◽  
Land Development ◽  
Random Pattern ◽  
Residential Areas ◽  
Economic Activities ◽  
Land Use Patterns ◽  
Quantitative Descriptive ◽  
The Impact

<p><em>Solo Baru </em><em>region</em><em> has a very strategic location and were originally intended for residential areas, but then experienced a rapid development of economic activities. The development of economic activity is the most visible trade activities and services that continue to increase precisely since 2002. The development of trade and services activities is of course have an influence on land use changes that occur rapidly in Solo Baru </em><em>r</em><em>egion. Based on these issues, the formulation of the problem in this research is how the influence brought about by the development of the activity of trade in services to changes in land use. In line with these problems, this study aims to determine the effect of the development of trading activities and services to changes in land use Solo Baru Region. The method used is quantitative descriptive to determine the level of development to later described spatially. These results indicate that the development of trade and services activities has encouraged the development of other activities either similar activities (commercial) as well as supporting activities (housing, public services, and industry) so the impact on the provision of land. The need for this land that drives the changes in land use, both in terms of area, intensity, and land use patterns are formed. Developments are vertically making it more influential in the development of land compared to the intensity of the land area. Besides land development patterns that are formed are random pattern of development as the region woke formed does not have a specific shape (sporadic) and develop segmental.</em><em></em></p><p> </p><p><strong><em>Keywords</em></strong><em>: Activities Development, Trade and Services Activity, Land Use Change</em></p>

scholarly journals TRANSITION OF LULC AND FUTURE PREDICTIONS BY USING CA-MARKOV CHAIN MODEL (A CASE STUDY OF METROPOLITAN CITY LAHORE, PAKISTAN)

2020 ◽  
Vol 4 (2) ◽  
pp. 146-151
Author(s):  
Faisal Mumtaz ◽  
Yu Tao ◽  
Waqar Ahmed Bashir ◽  
Mariam Kareem ◽  
Wang Gengke ◽  
...  
Keyword(s):  
Land Use ◽  
Metropolitan Area ◽  
Landscape Pattern ◽  
Urban Expansion ◽  
Land Development ◽  
Google Earth ◽  
Kappa Statistics ◽  
Landsat 8 ◽  
Chain Model ◽  
Barren Land

Land use and land cover transition is continue process due to various anthropogenic activities and altering the landscape pattern of the metropolitan area of Lahore over the last two decade. LULC has been emerging masses of environmental problems including land use issues for the inhabitants, city planners, and managers. This research has been focused on the LULC change from 1998 to 2018 and their impact to forecast the landscape pattern of 2023 and 2028 in metropolitan area of Lahore. Numerous satellite imageries including land sat 5 TM and landsat 8 OLI has been undergone by supervised classification for the preparation of LULC map, land change moderler MCL to calculate the transition in LULC and CA-Markov model for predicting upcoming transitions. Results have validated by transition matrix, Google Earth data and kappa statistics. Derived results has depicted the decreased in water bodies 2.70% to 0.60%, vegetation 24.90% to 22.60% and barren land 42.50% to 35.70% and increased in built up area 29.80 % to 41% between 1998 to 2018. Finding clearly represents the loss of ecological and barren landscape over the last two decade and therefore urban expansion will likely to continue the change in landscape. This study will provide a baseline reference to urban planners and policymakers to make informed decision for management of land resources, urban land planning and for maintain sustainable land development.

scholarly journals ESTIMATING BUILT-UP AREA CHANGE IN ULAANBAATAR CITY, MONGOLIA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 143-147
Author(s):  
P. Myagmartseren ◽  
I. Myagmarjav ◽  
N. Enkhtuya ◽  
G. Byambakhuu ◽  
T. Bazarkhand
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Urban Expansion ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Chain Model ◽  
Rapid Urbanization ◽  
Study Results

Abstract. Long-term urban built-up area changes of the Ulaanbaatar city has accelerated since the 1950s and due to rapid urbanization most of the Mongolian population, or about 68%, live in urban areas. The systematic understanding of urban land expansion is a crucial clue for urban land use planning and sustainable land development. Therefore, in this paper, we used a Markov chain model and cellular automata (CA) to simulate and predict current and future built-up areas expansion is Ulaanbaatar. Landsat imageries (Landsat TM 5, Landsat ETM 7 and Landsat OLI 8) of 1988, 1998, 2008, and 2017 were used to derive main land use classes. Clark Lab’s (Clark University) Geospatial Monitoring and Model software had been used for the urban expansion prediction. The results are innovated to comparable to validate with other study results by using a different kind of methods. Built-up area expansion modeled and predicted 2028’s trends based on a historical expansion of the Ulaanbaatar city between 1988 and 2017, which are prepared according to input model requirements. The built-up area was 7282 hectares (ha) in 1988 and has expanded to 31144 ha in 2017. The built-up area growth of the Ulaanbaatar city has reached 4.3 times over the past 30 years, and from 2017 to 2028 the expansion of the built-up area will be 1.5 times. A comparison of urban expansion from 1988 to 2017 has revealed a rapid built-up invasion to the previous areas of agriculture, grassland, and forest. Simulation performance of Markov chain with the cellular automata model can be used for an improvement in the understanding of the urban expansion processes while allowing helpful for better planning of Ulaanbaatar city, as well as for other rapidly developing towns of Mongolia.

scholarly journals Modeling And Spatial Analysis Of Change Settlement And Fair Market Land Price Using Markov Chain Model In Banyumanik District

2019 ◽  
Author(s):  
S Subiyanto ◽  
Andri Suprayogi
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Land Use Change ◽  
Markov Chain Model ◽  
Rapid Development ◽  
Satellite Image ◽  
Predictive Ability ◽  
Chain Model ◽  
Land Prices ◽  
Fair Market

Banyumanik District is located on the outskirts of Semarang with very rapid development. Indicated with the many changes in land that occur, due to the construction of settlements and other physical buildings continues to increase. Changes in land use will also be followed by changes in market land prices. These changes will continue in line with the increasing number and activities of the population in carrying out economic, social and cultural life. Most of the studies was conducted to analyze changes in future land use are based on the use of a model. Land use modeling changes is a method or approach that can be used to understand the causes and effects of these dynamic changes. The Multi-Layer Perceptron (MLP) Neural Network and Markov Chain methods are used in this study to determine which locations or areas of land use are vacant land and agriculture has the potential to change into settlements and test the predictive ability that will be produced by the model. The driving factor for land use change as an input model consists of distance to the road, distance to the area experiencing changes in land use, slope, elevation and fair market land prices. This study aims to (1) predict settlement and its changes in Banyumanik District using High Resolution Satellite Image in 2011-2019, (2) build a model of settlement land use change with the Markov Chain methods and (3) projection of Banyumanik District land use in 2028.

Evaluation of relative water use efficiency (RWUE) at a regional scale: a case study of Tuhai-Majia Basin, China

2012 ◽  
Vol 66 (5) ◽  
pp. 927-933 ◽  
Author(s):  
Yao-Huan Huang ◽  
Dong Jiang ◽  
Da-Fang Zhuang ◽  
Jian-Hua Wang ◽  
Hai-Jun Yang ◽  
...  
Keyword(s):  
Land Use ◽  
Water Use Efficiency ◽  
Water Use ◽  
Regional Scale ◽  
Land Development ◽  
Accurate Estimation ◽  
Wetland Protection ◽  
Unused Land ◽  
Relative Water ◽  
Use Efficiency

Enhancing water use efficiency (WUE) is the key approach to maintain sustainable water resource supply. Due to the complexity of the water cycle, accurate estimation of WUE at the regional scale is a challenging task. Here we presented a framework of relative water use efficiency (RWUE). According to the linkage between RWUE and land use types, assessment of WUE at a regional scale could be performed operationally. This approach was evaluated in a study area, Tuhai-Majia Basin, North China. Based on remote sensing-derived evapotranspiration (ET) and land use data, regional WUE were assessed accordingly. The mean RWUE of agriculture, ecosystem and total basin in 2005 was 60.12, 30.07 and 62.5%, respectively. Spatial analysis showed that the agricultural WUE played the dominant role in water-saving of the study area; water management of unused land (RWUE of 2005 was 5.46%), especially wetland protection and other unused land development, will contribute significantly to ecological RWUE improvement. Temporal analysis indicated that there was considerable inter-annual variability in RWUE time series profiles. The agricultural interlude period might be important for enhancing WUE in the Tuhai-Majia Basin. In general, the results indicated that the RWUE-based method was an efficient and simple method to evaluate WUE at regional scale.

scholarly journals Evaluation of China’s Circular Agriculture Performance and Analysis of the Driving Factors

2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng
Keyword(s):  
Rapid Development ◽  
Arable Land ◽  
Indicator System ◽  
Resource Scarcity ◽  
Entropy Method ◽  
Agricultural Industry ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Per Capita ◽  
The Government

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.

scholarly journals Toward a Dualistic Growth? Population Increase and Land-Use Change in Rome, Italy

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 749
Author(s):  
Leonardo Bianchini ◽  
Gianluca Egidi ◽  
Ahmed Alhuseen ◽  
Adele Sateriano ◽  
Sirio Cividino ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Population Growth ◽  
Mediterranean Basin ◽  
Urban Expansion ◽  
Arable Land ◽  
Central Italy ◽  
Agricultural Landscapes ◽  
Population Increase ◽  
Per Capita

The spatial mismatch between population growth and settlement expansion is at the base of current models of urban growth. Empirical evidence is increasingly required to inform planning measures promoting urban containment in the context of a stable (or declining) population. In these regards, per-capita indicators of land-use change can be adopted with the aim at evaluating long-term sustainability of urbanization processes. The present study assesses spatial variations in per-capita indicators of land-use change in Rome, Central Italy, at five years (1949, 1974, 1999, 2008, and 2016) with the final objective of quantifying the mismatch between urban expansion and population growth. Originally specialized in agricultural productions, Rome’s metropolitan area is a paradigmatic example of dispersed urban expansion in the Mediterranean basin. By considering multiple land-use dynamics, per-capita indicators of landscape change delineated three distinctive waves of growth corresponding with urbanization, suburbanization, and a more mixed stage with counter-urbanization and re-urbanization impulses. By reflecting different socioeconomic contexts on a local scale, urban fabric and forests were identified as the ‘winner’ classes, expanding homogeneously over time at the expense of cropland. Agricultural landscapes experienced a more heterogeneous trend with arable land and pastures declining systematically and more fragmented land classes (e.g., vineyards and olive groves) displaying stable (or slightly increasing) trends. The continuous reduction of per-capita surface area of cropland that’s supports a reduced production base, which is now insufficient to satisfy the rising demand for fresh food at the metropolitan scale, indicates the unsustainability of the current development in Rome and more generally in the whole Mediterranean basin, a region specialized traditionally in (proximity) agricultural productions.

scholarly journals Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China

2021 ◽  
Vol 13 (4) ◽  
pp. 647
Author(s):  
Fan Sun ◽  
Yi Wang ◽  
Yaning Chen ◽  
Yupeng Li ◽  
Qifei Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Markov Model ◽  
River Basin ◽  
Arable Land ◽  
Current Trend ◽  
Ecological Crisis ◽  
Tarim River ◽  
Tarim River Basin ◽  
Desert Oasis

The desert-oasis ecotone, as a crucial natural barrier, maintains the stability of oasis agricultural production and protects oasis habitat security. This paper investigates the dynamic evolution of the desert-oasis ecotone in the Tarim River Basin and predicts the near-future land-use change in the desert-oasis ecotone using the cellular automata–Markov (CA-Markov) model. Results indicate that the overall area of the desert-oasis ecotone shows a shrinking trend (from 67,642 km2 in 1990 to 46,613 km2 in 2015) and the land-use change within the desert-oasis ecotone is mainly manifested by the conversion of a large amount of forest and grass area into arable land. The increasing demand for arable land for groundwater has led to a decline in the groundwater level, which is an important reason for the habitat deterioration in the desert-oasis ecotone. The rising temperature and drought have further exacerbated this trend. Assuming the current trend in development without intervention, the CA-Markov model predicts that by 2030, there will be an additional 1566 km2 of arable land and a reduction of 1151 km2 in forested area and grassland within the desert-oasis ecotone, which will inevitably further weaken the ecological barrier role of the desert-oasis ecotone and trigger a growing ecological crisis.

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