Dynamic Change of Land Use in the Southern Loess Plateau

2013 ◽  
Vol 864-867 ◽  
pp. 2703-2706
Author(s):  
Bin Guo
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Loess Plateau ◽  
Dynamic Change ◽  
Forest Land ◽  
Land Area ◽  
Temporal Dynamic ◽  
Percentage Points ◽  
Unused Land ◽  
North And South

In order to reveal the characteristics of land use change in the south loess plateau, this paper tentatively divided Loess Plateau into North and South under the support of GIS, and then introduced land use spatial temporal dynamic model, analyzed land use dynamic change in provincial scale. The results showed: during the 25 years, construction land area increased from 3555.99 km2 to 4794.28 km2, unused land decreased by 0.02 percentage points, forest land area increased from 51011.31 km2 to 51066.79 km2, waters increased of 0.01 percentage points, farmland area decreased to 98561.57 km2 from100004.79 km2, grassland area increased by 0.08 percentage points. Land use change important values in province scale on each were not identical, showed obvious regional differences.Introduction.

scholarly journals Spatial-Temporal Change of Land Use and Its Impact on Water Quality of East-Liao River Basin from 2000 to 2020

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Point Source ◽  
Water Body ◽  
Forest Land ◽  
Point Source Pollution ◽  
Construction Land ◽  
Unused Land ◽  
Non Point Source Pollution

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.

scholarly journals IDENTIFIKASI PERUBAHAN PENGGUNAAN LAHAN DISEMPADAN BATANG ARAU TAHUN 2005-2015 KOTA PADANG

2018 ◽  
Vol 7 (1) ◽  
pp. 60
Author(s):  
Nurkholilah Nurkholilah ◽  
Helfia Edial ◽  
Yudi Antomi
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Quantitative Research ◽  
Rice Field ◽  
Forest Land ◽  
Land Area ◽  
Border Line ◽  
Overlay Method ◽  
Mixed Plantation ◽  
Descriptive Approach

Abstract This study aims to: 1) Know the land use in Batang Arau border in 2005-2015 2) Know the changes in land use in Batang Arau border in 2005-2015. This research is a quantitative research using descriptive approach. Date used Quickbird Image in 2005 and Image SPOT 6 2015. Analysis using overlay method of land use map with the help of ArcGis 10.1 software. In this research, 1) Land use in river Arau Border in 2005 is dominated by settlement covering 236,639 Ha, mixed plantation covers 100,409 Ha, rice field covers 91,946 Ha and forest is 15,266 Ha. While the dominant land use in 2015 is still the same as the land use in 2005, the settlement covers 250,295 ha, the area of ​​mixedplantation land is increased by 130,096 Ha with the width of rice field decreasing about 43,48 Ha and the forest land area is increasedabout 20,428 Ha. 2)The change of land use are reduce with widespread rice fields -14,412 Ha, while the expansion of land use is a settlement with an area of 22,986 Ha, a forestwith an area of 10,104 Ha, a mixed garden with an area of 17,072 Ha. Keywords: Land Use, Change, Border Line

scholarly journals Non-Linear Response of PM2.5 Pollution to Land Use Change in China

2021 ◽  
Vol 13 (9) ◽  
pp. 1612
Author(s):  
Debin Lu ◽  
Wanliu Mao ◽  
Wu Xiao ◽  
Liang Zhang
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Land Use Change ◽  
Distribution Pattern ◽  
Spillover Effects ◽  
Urban Land ◽  
Spatial Distribution Pattern ◽  
Forest Land ◽  
Unused Land ◽  
Non Linear

Land use change has an important influence on the spatial and temporal distribution of PM2.5 concentration. Therefore, based on the particulate matter (PM2.5) data from remote sensing instruments and land use change data in long time series, the Getis-Ord Gi* statistic and SP-SDM are employed to analyze the spatial distribution pattern of PM2.5 and its response to land use change in China. It is found that the average PM2.5 increased from 25.49 μg/m3 to 31.23 μg/m3 during 2000-2016, showing an annual average growth rate of 0.97%. It is still greater than 35 μg/m3 in nearly half of all cities. The spatial distribution pattern of PM2.5 presents the characteristics of concentrated regional convergence. PM2.5 is positively correlated with urban land and farmland, negatively correlated with forest land, grassland, and unused land. Furthermore, the average PM2.5 concentrations show the highest values for urban land and decrease in the order of farmland > unused land > water body > forest > grassland. The impact of land use change on PM2.5 is a non-linear process, and there are obvious differences and spillover effects for different land types. Thus, reasonably controlling the scale of urban land and farmland, optimizing the spatial distribution pattern and development intensity, and expanding forest land and grassland are conducive to curbing PM2.5 pollution. The research conclusions provide a theoretical basis for the management of PM2.5 pollution from the perspective of optimizing land use.

scholarly journals ANALYSIS OF LAND USE CHANGE IN INNER MONGOLIA REGION FROM 1978 TO 2018 BASED ON REMOTE SENSING

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 745-749
Author(s):  
W. Qu ◽  
Y. Yao ◽  
Z. Pang ◽  
J. Lu ◽  
K. Yang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Change ◽  
Inner Mongolia ◽  
Arable Land ◽  
Human Interaction ◽  
Eastern Region ◽  
Forest Land ◽  
Unused Land ◽  
The Impact

Abstract. Land use change is an important theme of the research on the impact of human interaction on global change. In this paper, two phases of land use data were interpretated from remote sensing images of 1978 and 2018, and the spatial-temporal characteristics of land use change in China's Inner Mongolia Region from 1978 to 2018 were analyzed. The results indicated that grasslands and arable land are mainly distributed in the central and eastern region of Inner Mongolia, forest land are mainly distributed in the eastern region, and unused land is mainly distributed in the western region. From 1978 to 2018, the area of arable land in Inner Mongolia decreased by 9,000 km2, forest land increased by 900 km2, and the area of grassland decreased by 1,400 km2. Urban and rural, industrial mines, and residential land continued to increase with an area of 7,800 km2; and unused land increased by an area of 11,500 km2. It was indicated that after 40 years of development, land use in urban and rural areas, industrial mines, and residential areas caused by human activities in the Inner Mongolia Region has increased significantly. At the same time, the policy of returning farmland to forests to protect the environment has achieved significant results.

Land Use Dynamic Change and Driving Force Analysis in Qingdao

2012 ◽  
Vol 518-523 ◽  
pp. 6004-6007
Author(s):  
Xing Yuan Xiao ◽  
Tao Jiang
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Driving Force ◽  
Driving Forces ◽  
Dynamic Change ◽  
Fuzzy Comprehensive Evaluation ◽  
Base Number ◽  
Cultivated Land ◽  
Unused Land ◽  
Land Use Types

Using GIS and such models as dynamic degree, analyzed the land-use change in Qingdao according to the statistics of land-use data from 2000 to 2010 years and based on these, the author selects eight natural and socio-economic indexes, and takes districts as the study unit to calculate the driving force indexes with the fuzzy comprehensive evaluation method, and makes the spatial-division thematic maps of the driving forces which cause the land-use change in this region base on GIS. The results show that in Qingdao the land-use types which have the largest change rate is residential area and mining sites, followed by the unused land, water and cultivated land, and the garden plot is the smallest. There is a decreasing of cultivated land and unused land while other types have increased; because of a large base number, cultivated land reduces most among all land-use types. There exists a big spatial difference among these driving forces for land-use change. According the driving force indexes we divided them into four regions.

scholarly journals Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model

2021 ◽  
Vol 18 (5) ◽  
pp. 2389
Author(s):  
Qinglong Ding ◽  
Yang Chen ◽  
Lingtong Bu ◽  
Yanmei Ye
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Scenario Analysis ◽  
Yellow River ◽  
The Yellow River ◽  
Cultivated Land ◽  
Invest Model ◽  
Unused Land ◽  
Dongying City

The past decades were witnessing unprecedented habitat degradation across the globe. It thus is of great significance to investigate the impacts of land use change on habitat quality in the context of rapid urbanization, particularly in developing countries. However, rare studies were conducted to predict the spatiotemporal distribution of habitat quality under multiple future land use scenarios. In this paper, we established a framework by coupling the future land use simulation (FLUS) model with the Intergrated Valuation of Environmental Services and Tradeoffs (InVEST) model. We then analyzed the habitat quality change in Dongying City in 2030 under four scenarios: business as usual (BAU), fast cultivated land expansion scenario (FCLE), ecological security scenario (ES) and sustainable development scenario (SD). We found that the land use change in Dongying City, driven by urbanization and agricultural reclamation, was mainly characterized by the transfer of cultivated land, construction land and unused land; the area of unused land was significantly reduced. While the habitat quality in Dongying City showed a degradative trend from 2009 to 2017, it will be improved from 2017 to 2030 under four scenarios. The high-quality habitat will be mainly distributed in the Yellow River Estuary and coastal areas, and the areas with low-quality habitat will be concentrated in the central and southern regions. Multi-scenario analysis shows that the SD will have the highest habitat quality, while the BAU scenario will have the lowest. It is interesting that the ES scenario fails to have the highest capacity to protect habitat quality, which may be related to the excessive saline alkali land. Appropriate reclamation of the unused land is conducive to cultivated land protection and food security, but also improving the habitat quality and giving play to the versatility and multidimensional value of the agricultural landscape. This shows that the SD of comprehensive coordination of urban development, agricultural development and ecological protection is an effective way to maintain the habitat quality and biodiversity.

scholarly journals Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province

Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 67
Author(s):  
Han Huang ◽  
Yang Zhou ◽  
Mingjie Qian ◽  
Zhaoqi Zeng
Keyword(s):  
Land Use ◽  
Food Security ◽  
Loess Plateau ◽  
Large Scale ◽  
Driving Forces ◽  
Chinese Loess Plateau ◽  
Shanxi Province ◽  
Forest Land ◽  
Land Use Transition ◽  
Macro Scale

Land use transition is essentially one of the manifestations of land use/cover change (LUCC). Although a large number of studies have focused on land use transitions on the macro scale, there are few studies on the micro scale. Based on the data of two high-resolution land use surveys, this study used a land use transfer matrix and GeoDetector model to explore the spatial-temporal patterns and driving forces of land use transitions at the village level in Pu County over a ten-year period. Results show that Pu County has experienced a drastic process of land use transition. More than 80% of cropland and grassland have been converted to forest land, and over 90% of the expansion of built-up land came from the occupation of forest land, cropland, and grassland. The driving forces of land use transition and its magnitude depended on the type of land use. The implementation of the policy of returning farmland to forest, or grain-for-green (GFG) was the main driving force for the large-scale conversion of cultivated land to forest land in Pu County. In the context of policy of returning farmland to forests, the hilly and gully regions of China’s Loess Plateau must balance between protecting the ecology and ensuring food security. Promoting the comprehensive consolidation of gully land and developing modern agriculture may be an important way to achieve a win-win goal of ecological protection and food security.

Sign in / Sign up

Export Citation Format

Share Document