Land Use Dynamic Change and Driving Force Analysis in Qingdao

2012 ◽  
Vol 518-523 ◽  
pp. 6004-6007
Author(s):  
Xing Yuan Xiao ◽  
Tao Jiang

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.

Author(s):  
Qinglong Ding ◽  
Yang Chen ◽  
Lingtong Bu ◽  
Yanmei Ye

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.


2020 ◽  
Vol 12 (1) ◽  
pp. 1406-1420
Author(s):  
Jianwei Wang ◽  
Kun Wang ◽  
Tianling Qin ◽  
Hanjiang Nie ◽  
Zhenyu Lv ◽  
...  

AbstractLand use/cover change plays an important role in human development and environmental health and stability. Markov chain and a future land use simulation model were used to predict future change and simulate the spatial distribution of land use in the Huang-Huai-Hai river basin. The results show that cultivated land and grassland are the main land-use types in the basin, accounting for about 40% and 30%, respectively. The area of cultivated land decreased and artificial surfaces increased from 1980 to 2010. The degree of dynamic change of land use after the 1990s was greater than that before the 1990s. There is a high probability of exchange among cultivate land, forest and grassland. The area of forest decreased before 2000 and increased after 2000. Under the three emission scenarios (RCP2.6, RCP4.5, and RCP8.5) of IPSL-CM5A-LR climate model, the area of cultivated land will decrease and that of grassland will increase in the upstream area while it will decrease in the downstream area. The above methods and rules will be of great help to future land use planning.


2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Yafei Li ◽  
Gaohuan Liu ◽  
Chong Huang

The article uses GIS spatial analysis and grid technologies to study the dynamic changes, hotspot regions, and driving forces in land use of the central core functional area of Jing-Jin-Ji. The research results are as follows: from 2000 to 2015, the main types of land use in the central core functional area of Jing-Jin-Ji are cultivated land, woodland, and built-up land. In the period of 2005–2010, the transfer between built-up land and cultivated land was frequent. The dynamic degree of single land use in unused land was highest. It also finds out that the dynamic degree of the integrated land use from 2005 to 2010 was higher. The center of gravity transfer of the dynamic degree of integrated land use was concentrated in research area. As for the hotspots, their number and scope are increasing, and the positions located in the edge of original main urban area and developed transportation network. The main characteristics of land use dynamic change in the study area are the rapid decrease of cultivated land area and rapid growth of built-up land. The spatial agglomeration of economic factors caused by human activities has an important influence on the spatial and temporal dynamic changes of land use.


2015 ◽  
Vol 744-746 ◽  
pp. 2386-2390
Author(s):  
Xiu Mei Tang ◽  
Yan Min Ren ◽  
Yu Liu ◽  
Yu Chun Pan

Taking the area within 10 km along Beijing section of Jingcheng expressway as study area, this paper calculates the area changes and conversions of landuse types based on the land use map derived from TM images of 1995, 2004 and 2009, and analyze the variation of ecosystem services value of landuse types. The following results are gotten:(1) the construction of the expressway hadadramatic influence to the land use types along and the agricultural structure change obviously; (2) The total value is 20.77×108Yuan in 1995, and increased to 20.96×108 Yuan in 2004, then decreased to20.78×108 Yuan in 2009; (3)The reduction of cultivated land and the increase of construction land were the most important reason for the loss of the ecosystem services value, but because of the increase of garden plot, the total ecosystem services value was stable and increased a littlefrom 1995 to 2009.


2013 ◽  
Vol 864-867 ◽  
pp. 2703-2706
Author(s):  
Bin Guo

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.


2021 ◽  
Vol 137 ◽  
pp. 102601
Author(s):  
Jieyu Wang ◽  
Shaojian Wang ◽  
Chunshan Zhou

2020 ◽  
Vol 165 ◽  
pp. 02028
Author(s):  
Yi Luo ◽  
Shuang Liu ◽  
Cheng Zhang ◽  
Ruiying Ning ◽  
Jiajin Zhou

In order to evaluate the change of ecosystem service value in Chengdu, GIS technology was used to obtain the land use type data of Chengdu from 2009 to 2018. The equivalent factor method was used as the core evaluation method, and an ecosystem value evaluation model was established to explore the impact of various land use types on ecosystem service value. The results show that: (1) the trend of land use change is that both the area and the proportion of land use change in different degrees. The area of cultivated land, water area and unused land are greatly reduced, and the area of construction land expands rapidly, mainly through the occupation of cultivated land and unused land. (2) The intensity of land use in Chengdu is greater and continues to increase, and the contribution rate of construction land is larger, which indicates that the land use structure is developing towards the structural direction of mainly construction land. (3) Changes in ecosystem service value are not only related to land use structure, but also to the economic development, willingness to pay and ability of the whole society. (4) Ecosystem service value is negatively correlated with construction land and unused land; it is positively correlated with cultivated land, forest land and grassland. Generally speaking, Chengdu’s land use change has not caused obvious damage to the ecosystem, but the impact of human lifestyle on the environment in the process of economic development cannot be ignored. The growth of construction land area should be appropriately controlled, ecological land should be protected, and the sustainable development of social-economic-ecological benefits should be realized.


Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  

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.


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