scholarly journals Land Use Changes and Their Driving Forces in a Debris Flow Active Area of Gansu Province, China

2018 ◽  
Vol 10 (8) ◽  
pp. 2759 ◽  
Author(s):  
Songtang He ◽  
Daojie Wang ◽  
Yong Li ◽  
Peng Zhao
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Debris Flow ◽  
Driving Forces ◽  
Land Use Changes ◽  
Gansu Province ◽  
Anthropogenic Factors ◽  
Flow Area ◽  
Construction Land ◽  
Systemic Analysis

Land use change is extremely sensitive to natural factors and human influence in active debris flow. It is therefore necessary to determine the factors that influence land use change. This paper took Wudu District, Gansu Province, China as a study area, and a systemic analysis of the transformational extent and rate of debris flow waste-shoal land (DFWSL) was carried out from 2005 to 2015. The results show that from 2005 to 2015, cultivated land resources transformed to other types of land; cultivated lands mainly transformed to grassland from 2005 to 2010 and construction land from 2010 to 2015. Moreover, the growth rate of construction land from 2005 to 2010 was only 0.11%, but increased to 6.87% between 2010 and 2015. The latter is more than 60 times the former. This increase was brought about by natural disasters (debris flow, earthquakes, and landslides) and anthropogenic factors (national policies or strategies), which acted as driving forces in debris flow area. The former determines the initial use type of the DFWSL while the latter only affects the direction of land use and transformation.

scholarly journals Comparison of the Spatiotemporal Dynamics of Land Use Changes in Four Municipalities of China Based on Intensity Analysis

2020 ◽  
Vol 12 (9) ◽  
pp. 3687 ◽  
Author(s):  
Siqin Tong ◽  
Gang Bao ◽  
Ah Rong ◽  
Xiaojun Huang ◽  
Yongbin Bao ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Driving Forces ◽  
Land Use Changes ◽  
Arable Land ◽  
Global Environmental Change ◽  
High Rate ◽  
Intensity Analysis ◽  
Spatial And Temporal Patterns ◽  
Construction Land

Land use/cover change (LUCC) is becoming one of the most important and interesting problems in the study of global environmental change. Identifying the spatiotemporal behavior and associated driving forces behind changes in land use is crucial for the regional sustainable utilization of land resources. In this study, we consider the four municipalities of China (Beijing, Tianjin, Shanghai, and Chongqing) and compare their spatiotemporal changes in land use from 1990 to 2015 by employing intensity analysis and barycenter migration models. We then discuss their driving forces. The results show that the largest reduction and increase variations were mainly concentrated in arable and construction land, respectively. The decrement and increment were the largest in Shanghai, followed by Beijing and Tianjin, and the least in Chongqing. Furthermore, the results of the barycenter migration model indicate that in addition to Beijing, the migration distances of construction land were longer than those of arable land in three other cities. Moreover, the application of intensity analysis revealed that the rate of land use change was also the greatest in Shanghai and the slowest in Chongqing during the whole study period, with all of their arable land being mainly transformed into construction land. The driving force analysis results suggest that the spatial and temporal patterns of land use change were the results of the socio-economic development, national policies, and major events. In other words, where there was a high rate of economic and population growth, the intensity of land use change was relatively large.

scholarly journals Evaluation on the Change Characteristics of Ecosystem Service Function in the Northern Xinjiang Based on Land Use Change

2021 ◽  
Vol 13 (17) ◽  
pp. 9679
Author(s):  
Yang Wang ◽  
Remina Shataer ◽  
Tingting Xia ◽  
Xueer Chang ◽  
Hui Zhen ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Correlation ◽  
Land Use Changes ◽  
Tianshan Mountain ◽  
Sensitivity Index ◽  
Spatial And Temporal Patterns ◽  
Construction Land ◽  
The North ◽  
Ecological Patterns

Monitoring the interannual changes in land use and the temporal and spatial characteristics of the ecosystem services value (ESV) can help to comprehensively and objectively understand the distribution of regional ecological patterns. The mountain–oasis–desert transition zone in the northern Tianshan Mountain region of Xinjiang, China, is a geographically unique area with a highly sensitive ecosystem. As a data source, the study uses Landsat TM images from 1990, 2000, 2010, and 2018 along with GIS-extracted data to calculate the dynamic degree of land use. As well, the spatial and temporal patterns of land use change and ESV are quantitatively analyzed by using the equivalent factor method, sensitivity index, and spatial correlation studies. The results reveal the following: (1) From 1990 to 2018, the land use changes in the northern Tianshans are relatively drastic, mainly due to the increase in cultivated land, grassland and construction land, and the decrease in forest land, water, and unused land. (2) The ESV increases and then decreases, for a total loss of about 271.63 × 108 yuan. The largest decrease is in forest value, and the largest increase (around 129.94%) is in construction land. (3) The spatial distribution pattern of ESV in the northern Tianshans is apparent, showing high in the north and southwest, and low in the central and southeast portions of the study area. Additionally, there is a visible spatial correlation and aggregation in ESV. The present research can provide theoretical support for the environmental protection of the ecologically vulnerable area of the northern Tianshans as well as for further construction across the region.

scholarly journals The Impact of Land Use Change on Ecosystem Service Value in the Upstream of Xiong’an New Area

2020 ◽  
Vol 12 (14) ◽  
pp. 5707
Author(s):  
Zhiyin Wang ◽  
Jiansheng Cao ◽  
Chunyu Zhu ◽  
Hui Yang
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Ecosystem Service ◽  
Land Use Changes ◽  
Contribution Rate ◽  
Ecosystem Service Value ◽  
Construction Land ◽  
Service Value ◽  
Land Use Types ◽  
The Impact

The development of the Xiong’an New Area is a crucial strategy for the next millennium in China. The ecosystem upstream of the Xiong’an New Area, serving for the development of the Xiong’an New Area, changed with land use changes. To analyze the contribution rate of the land use change to the ecosystem service value, we analyzed the land use changes of three small watersheds (7318.56 km2) upstream of the Xiong’an New Area based on a total of six phases of land use data from 1980 to 2015. Then, the ecosystem service value (ESV) was calculated using the equivalent factor method. The results showed that the construction land and arable land were the largest land use types that increased and decreased in the area of the study area, respectively. The grassland and construction land were the land use types with the largest transfer-out area and transfer-in area, respectively. The regulating services accounted for the largest proportion of total ESV among different ecosystem service functions, and the grassland and woodland accounted for the largest proportion of total ESV among different land use types. ESV in the study area fluctuated slightly from 1980 to 2015. The decrease of ESV mainly occurred in the surrounding areas of mountain towns, and the conversion of cultivated land to construction land was the main reason for the decrease of ESV in this area. The conversion of grassland to construction land had the largest contribution rate to the decrease of ESV in the study area, while the conversion of grassland to waters had the largest contribution rate to the increase of ESV. In conclusion, controlling the development of construction land and strengthening water resources’ protection may improve the ecosystem service value in the upstream Xiong’an New Area in the future.

scholarly journals Spatial Determinants of Land Conversion for Various Urban Use: A Case Study of Beijing

2020 ◽  
Vol 9 (12) ◽  
pp. 708
Author(s):  
Daquan Huang ◽  
Erxuan Chu ◽  
Tao Liu
Keyword(s):  
Land Use ◽  
Spatial Autocorrelation ◽  
Driving Forces ◽  
Municipal Government ◽  
Land Use Changes ◽  
Construction Land ◽  
Different Types ◽  
Negative Impacts ◽  
The Impact

Studying the factors that influence the expansion of different types of construction land is instrumental in formulating targeted policies and regulations, and can reduce or prevent the negative impacts of unreasonable land use changes. Using land use survey data of Beijing (2001 and 2010), an autologistic model quantitatively analyzed the leading driving forces and differences in four types of construction land expansion (industrial, residential, public service, and commercial land types), focusing on the impact of spatial autocorrelation. The results showed that the influencing factors vary greatly for different types of construction land expansion; the same factor may have a different impact on different construction land, and both planning factors and spatial autocorrelation variables have a significant positive effect on the four types. Accordingly, the municipal government should consider the differences in the expansion mechanisms and driving forces of different construction land and formulate suitable planning schemes, observe the impact of spatial autocorrelation on construction land expansion, and guide spatial agglomeration through policies while appropriately controlling the scale of expansion. The methods and policy recommendations of this research are significant for urban land expansion research and policy formulations in other transition economies and developing countries.

scholarly journals An Effective Approach for Land Use Management in the Palestinian territories

2019 ◽  
Vol 295 ◽  
pp. 02006
Author(s):  
Azzedine Hani
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Prediction Model ◽  
Human Resource Development ◽  
Driving Forces ◽  
Land Use Changes ◽  
Research Work ◽  
Current Understanding ◽  
Land Use Management ◽  
The Future

The current understanding of the causes of land-use change is dominated by simplifications, which in turn, underline many environment-development policies that led to unsustainable situation in Gaza City. Therefore, this research aims at establishing an integrated land-use management framework for Gaza city based on cause-effect relationship within sustainability context. It also aims at establishing a prediction model for the relationship between the most influential socio-economic, environmental and institutional indicators that had shaped the current land-use status of the city for the period 1967-2003. The methodology presented in this research work, offers opportunities to simulate the future demand of the different land-uses based upon actual land-use conditions and other determinant factors. The determinant variables of land-use changes have been identified and prioritized using statistical analysis and Artificial Neural Network (ANN). The results were compared with other statistical techniques and expert opinions. ANN prediction model helped in drawing scenarios for future development. Combinations of socio-economic, environmental and institutional variables in addition to the actual land use for the last four years are used as a basis of land-use change explanations and modeling. These pathways indicate that land-use policies and projections for the future must not only capture the population indicators as the only drivers for land-use change but also account for the specific human resource development indicators and urban-environmental conditions. This recognition requires moving beyond some of the simplifications that persist in much of the current understanding of the causes of land-use change and its driving forces. The analysis of the local expert’s opinions provide evidence support the conclusion that the simple answers found in population growth, poverty and infrastructure rarely provide an adequate explanations of land-use changes. Rather, social responses follow from changing economic conditions, mediated by institutional factors are the real causes for land-use changes in Gaza.

scholarly journals Effect of Land Use Change on Ecosystem Service Value in Dujiangyan City

2020 ◽  
Vol 165 ◽  
pp. 02024
Author(s):  
Min Liu ◽  
Shimin Wen ◽  
Chuanjiang Zhang
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Ecosystem Service ◽  
Land Use Changes ◽  
Value Assessment ◽  
Ecosystem Service Value ◽  
Construction Land ◽  
Service Value ◽  
The Impact

In order to evaluate the impact of land use change on ecosystem service value in Dujiangyan City, through equivalent factor method, qualitative and quantitative analysis is carried out on the dynamic change of land use change and its caused ecosystem service value in Dujiangyan City from 2010 to 2016. The results show that: (1) Dujiangyan city land use changes a large extent, with the extension of construction land expansion as the main increase part, and at the cost of the reduction of arable land and grassland area. (2) Over the past 7 years, the total value of ecosystem services in Dujiangyan city followed a law of first rising and then falling, showing an overall rising trend, with a total increase of 19.2244 million yuan. (3) The accuracy of the ecological value coefficient of woodland and grassland will greatly affect the value assessment of ecosystem services in Dujiangyan city. (4) From the relationship between land use type and ecosystem service value, cultivated land and construction land are negatively correlated with ecosystem service value, on the contrary, forest land, grassland, water area and construction land are positively correlated with ecosystem service value. In general, the land use of Dujiangyan City did not cause obvious damage to the ecological environment, but also cannot ignore the impact of land use changes on the environment in the process of economic development. It is necessary to control the growth of construction land area, promote the conservation and rational development of Eco-tourism area in Dujiangyan City, maintain the stability of ecosystem services in Dujiangyan City, and realize the strategy of sustainable development of Social-Economic-Ecological benefits.

scholarly journals Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 982
Author(s):  
Zhou Xue ◽  
Yang Zhou
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Temporal Variation ◽  
Loess Plateau ◽  
Driving Forces ◽  
Arable Land ◽  
The Loess Plateau ◽  
Continuous Growth ◽  
Construction Land ◽  
Spatio Temporal

Land-use cover is undergoing intense change under global climate change and rapid urbanization, especially in the Loess Plateau, where ecological restoration policies like Green for Grain Project (GFGP) have been vigorously implemented since the 1980s. The main objective of this study was to distinguish the difference of spatio-temporal variation of land-use change in the two study periods of 1980–2000 and 2000–2020 at the county scales. Geographically and temporally weighted regression (GTWR) was employed to handle both the spatial and temporal heterogeneity of the driving forces for land use change. The results showed that the quantity of construction land, woodland and grassland experienced continuous growth, but arable land declined substantially. The results of GTWR model showed that the dominant influencing factors of land-use change had temporal and spatial differences in the Loess Plateau. Specifically, the implementation of GFGP and precipitation accelerated the changes in arable land, grassland and woodland. For construction land, its growth was mainly promoted by gross domestic product (GDP) and population, both of which had more obvious positive effects in the last 20 years. The findings provide a scientific basis to put forward countermeasures emphasizing sustainable land use in the Loess Plateau.

Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Matheus Supriyanto Rumetna ◽  
Eko Sediyono ◽  
Kristoko Dwi Hartomo
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Autocorrelation ◽  
Land Use Changes ◽  
Geographical Information ◽  
Moran’S I ◽  
Complete Spatial Randomness ◽  
Moran's I ◽  
Global Moran’S I ◽  
Spatial Randomness

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.

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.

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