scholarly journals Spatio-Temporal Patterns of Land Use and Cover Change from 1990 to 2010: A Case Study of Jiangsu Province, China

2019 ◽  
Vol 16 (6) ◽  
pp. 907 ◽  
Author(s):  
Ge Shi ◽  
Peng Ye ◽  
Liang Ding ◽  
Agustin Quinones ◽  
Yang Li ◽  
...  
Keyword(s):  
Land Use ◽  
Environmental Changes ◽  
Population Change ◽  
Arable Land ◽  
Jiangsu Province ◽  
Driving Factors ◽  
Human Society ◽  
Continuous Increase ◽  
Per Capita ◽  
Land Use And Cover

Land use and cover change (LUCC) is one of the most significant parts of global environmental changes, which reflects the interaction between human society and natural resources. In China, the urbanization process is experiencing a rapid sprawl since the reform and open program in 1978, and there has been a serious change in situation in the human–land relationship. In this paper, taking Jiangsu province located in the eastern coastal developed region as an example, the historic evolution process of the land use situation from 1990 to 2010 was explored. Landsat images from three periods were analyzed, using the land use transition matrix model, the land use dynamic degree model, and the land use degree model to evaluate the LUCC of Jiangsu during two research periods from 1990 to 2000 and from 2000 to 2010. Additionally, logistic regression models and some quantitative analysis were applied to identify the major potential driving factors behind the LUCC during the research period based on different dimensions. The results showed the following: (1) the most obvious change was the continuous increase of built-up area and the decrease of arable land, which reflected the deterioration of the ecological environment and the accelerate of the urbanization trend. (2) The land use change dynamic degree from 2000 to 2010 was much greater than that from 1990 to 2000. (3) Socio-economic elements and human activities were the major driving forces of LUCC in Jiangsu province. Amongst these forces, the driving factors of the population change, GDP, per capita household income, and per capita housing area have an obvious effect on the arable land loss and the built-up area expansion.

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 Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2757 ◽  
Author(s):  
Kongming Li ◽  
Mingming Feng ◽  
Asim Biswas ◽  
Haohai Su ◽  
Yalin Niu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Satellite Remote Sensing ◽  
Gansu Province ◽  
Driving Factors ◽  
Driving Mechanism ◽  
Second Stage ◽  
Arid And Semiarid ◽  
Land Use And Cover

Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local conditions, thus supporting local socioeconomic development and global environmental protection. In this study, taking Gansu Province as a case study example, we explored the LUCC pattern and its driving mechanism from 1980 to 2018, and predicted land use and cover in 2030 using the integrated LCM (Logistic-Cellular Automata-Markov chain) model and data from satellite remote sensing. The results suggest that the LUCC pattern was more reasonable in the second stage (2005 to 2018) compared with that in the first stage (1980 to 2005). This was because a large area of green lands was protected by ecological engineering in the second stage. From 1980 to 2018, in general, natural factors were the main force influencing changes in land use and cover in Gansu, while the effects of socioeconomic factors were not significant because of the slow development of economy. Landscape indices analysis indicated that predicted land use and cover in 2030 under the ecological protection scenario would be more favorable than under the historical trend scenario. Besides, results from the present study suggested that LUCC in arid and semiarid area could be well detected by the LCM model. This study would hopefully provide theoretical instructions for future land use planning and management, as well as a new methodology reference for LUCC analysis in arid and semiarid regions.

scholarly journals Intensity and Driving Forces of Land Abandonment in Eastern Poland

2020 ◽  
Vol 10 (10) ◽  
pp. 3500 ◽  
Author(s):  
Wojciech Zgłobicki ◽  
Kamil Karczmarczuk ◽  
Bogusława Baran-Zgłobicka
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Environmental Changes ◽  
Driving Forces ◽  
Arable Land ◽  
Land Abandonment ◽  
Farm Size ◽  
Study Objective

Agricultural land is an important natural resource and forms the basis for food production. Global and local socio-economic and environmental changes are often the driving forces of changes in land cover and land use. Land abandonment in rural areas is one of the processes observed in Europe today and usually leads to increased afforestation. The intensity of this process in Central Europe is linked to the political and economic changes that took place at the end of the 20th century. The study objective was to identify the natural and socio-economic factors of this process in Lublin Province—a major region of agricultural production in Poland. From 1990 to 2018, over 130,000 ha were excluded from agricultural use, which represents 7% of the arable land in 1990. Land abandonment showed considerable spatial differences when comparing different counties: its magnitude ranged from 4% to 13% of the county area. At the same time, due to the specific type of land use in the province (small farm holdings divided into several fields), the intensity of land abandonment was underestimated when based on overview data (CORINE). It was observed that the intensity of this process was correlated with the natural conditions (topography, soils) for agricultural production and the socio-economic characteristics (area of arable land, forest cover changes, farm size) of the counties as well as the absorption of Common Agricultural Policy funds.

scholarly journals Land use and land cover change based on historical space-time model

2016 ◽  
Author(s):  
Qiong Sun ◽  
Chi Zhang ◽  
Min Liu ◽  
Yongjing Zhang
Keyword(s):  
Land Use ◽  
Optimal Allocation ◽  
Environmental Changes ◽  
Space Time ◽  
Land Resources ◽  
Qiantang River ◽  
Land Use Structure ◽  
Global Environmental ◽  
Global Environmental Changes ◽  
Land Use And Cover

Abstract. Land use and cover change is a leading edge topic in the current research field of global environmental changes and case study of typical areas is an important approach understanding global environmental changes. Taking Qiantang River (Zhejiang, China) as an example, this study explores automatic classification of land use using remote sensing technology and analyzes historical space-time change by remote sensing monitoring, which provide new methods for optimizing land use structure and realize the optimal allocation of land resources as well as intensive utilization. It is of great importance to the sustainable development of Qiantang River basin and the whole Zhejiang province. This study combines spectral angle mapping (SAM) with multi-source information and creates a convenient and efficient high precision land use computer automatic classification method which meets the application requirements and is suitable for complex landform of the studied area. This work analyzes the histological space-time characteristic of land use and cover change in 2001, 2007 and 2014, providing a strong information support and new research method for optimizing Qiantang River land use structure and achieving optimal allocation of land resources and scientific management.

scholarly journals Land use and land cover change based on historical space–time model

Solid Earth ◽  
2016 ◽  
Vol 7 (5) ◽  
pp. 1395-1403 ◽  
Author(s):  
Qiong Sun ◽  
Chi Zhang ◽  
Min Liu ◽  
Yongjing Zhang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Environmental Changes ◽  
Space Time ◽  
Qiantang River ◽  
Sensing Technology ◽  
Global Environmental ◽  
Qiantang River Basin ◽  
Global Environmental Changes ◽  
Land Use And Cover

Abstract. Land use and cover change is a leading edge topic in the current research field of global environmental changes and case study of typical areas is an important approach understanding global environmental changes. Taking the Qiantang River (Zhejiang, China) as an example, this study explores automatic classification of land use using remote sensing technology and analyzes historical space–time change by remote sensing monitoring. This study combines spectral angle mapping (SAM) with multi-source information and creates a convenient and efficient high-precision land use computer automatic classification method which meets the application requirements and is suitable for complex landform of the studied area. This work analyzes the histological space–time characteristics of land use and cover change in the Qiantang River basin in 2001, 2007 and 2014, in order to (i) verify the feasibility of studying land use change with remote sensing technology, (ii) accurately understand the change of land use and cover as well as historical space–time evolution trend, (iii) provide a realistic basis for the sustainable development of the Qiantang River basin and (iv) provide a strong information support and new research method for optimizing the Qiantang River land use structure and achieving optimal allocation of land resources and scientific management.

scholarly journals Physical and Socioeconomic Driving Forces of Land-Use and Land-Cover Changes: A Case Study of Wuhan City, China

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Xiangmei Li ◽  
Ying Wang ◽  
Jiangfeng Li ◽  
Bin Lei
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Arable Land ◽  
Driving Factors ◽  
Land Cover Changes ◽  
Physical Factors ◽  
Driving Mechanism ◽  
Urban Management ◽  
Wuhan City

To investigate precise nexus between land-use and land-cover changes (LUCC) and driving factors for rational urban management, we used remotely sensed images to map land use and land cover (LULC) from 1990 to 2010 for four time periods using Wuhan city, China, as a case study. Partial least squares (PLS) method was applied to analyze the relationships between LUCC and the driving factors, mainly focusing on three types of LULC, that is, arable land, built-up area, and water area. The results were as follows:(1)during the past two decades, the land-use pattern in Wuhan city showed dramatic change. Arable land is made up of the largest part of the total area. The increased built-up land came mainly from the conversion of arable land for the purpose of economic development.(2)Based on the Variable Importance in Projection (VIP), the joint effects of socioeconomic and physical factors on LUCC were dominant, though annual temperature, especially annual precipitation, proved to be less significant to LUCC. Population, tertiary industry proportion, and gross output value of agriculture were the most significant factors for three major types of LULC. This study could help us better understand the driving mechanism of urban LUCC and important implications for urban management.

scholarly journals Urbanization-induced Land Use and Cover Changes in Xuzhou, Jiangsu Province since the Mid-1990s

2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Hui Dai ◽  
◽  
Xuezhen Zhang ◽  
Zhaoling Hu ◽  
◽  
...  
Keyword(s):  
Land Use ◽  
Jiangsu Province ◽  
Land Use And Cover

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.

Sign in / Sign up

Export Citation Format

Share Document