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.

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 Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Susanne Rolinski ◽  
Alexander V. Prishchepov ◽  
Georg Guggenberger ◽  
Norbert Bischoff ◽  
Irina Kurganova ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Organic Carbon ◽  
Land Use Change ◽  
Soil Organic Carbon ◽  
Arable Land ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
The Impact

AbstractChanges in land use and climate are the main drivers of change in soil organic matter contents. We investigated the impact of the largest policy-induced land conversion to arable land, the Virgin Lands Campaign (VLC), from 1954 to 1963, of the massive cropland abandonment after 1990 and of climate change on soil organic carbon (SOC) stocks in steppes of Russia and Kazakhstan. We simulated carbon budgets from the pre-VLC period (1900) until 2100 using a dynamic vegetation model to assess the impacts of observed land-use change as well as future climate and land-use change scenarios. The simulations suggest for the entire VLC region (266 million hectares) that the historic cropland expansion resulted in emissions of 1.6⋅ 1015 g (= 1.6 Pg) carbon between 1950 and 1965 compared to 0.6 Pg in a scenario without the expansion. From 1990 to 2100, climate change alone is projected to cause emissions of about 1.8 (± 1.1) Pg carbon. Hypothetical recultivation of the cropland that has been abandoned after the fall of the Soviet Union until 2050 may cause emissions of 3.5 (± 0.9) Pg carbon until 2100, whereas the abandonment of all cropland until 2050 would lead to sequestration of 1.8 (± 1.2) Pg carbon. For the climate scenarios based on SRES (Special Report on Emission Scenarios) emission pathways, SOC declined only moderately for constant land use but substantially with further cropland expansion. The variation of SOC in response to the climate scenarios was smaller than that in response to the land-use scenarios. This suggests that the effects of land-use change on SOC dynamics may become as relevant as those of future climate change in the Eurasian steppes.

scholarly journals DAMPAK PERUBAHAN PENGGUNAAN LAHAN PERTANIAN TERHADAP SOSIAL EKONOMI PETANI SEKITAR LOKASI PERTAMBANGAN BANYU URIP KECAMATAN GAYAM KABUPATEN BOJONEGORO

2018 ◽  
Vol 20 (1) ◽  
pp. 50
Author(s):  
Aziz Bahtiar Rifa’i ◽  
Fadjar Hari Mardiansjah
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Positive Impact ◽  
Arable Land ◽  
Mining Area ◽  
Agricultural Land Use ◽  
Socioeconomic Conditions ◽  
Qualitative Approaches ◽  
The Impact

This study examines the impact of agricultural land use change into a petroleum mining area to farmers’ socioeconomic conditions around petroleum mining project area in Gayam District of Kabupaten Bojonegoro. The analyses used a mix method, using both quantitative and qualitative approaches. The quantitative approach is used to determine the impact of agricultural land use change on the social and economic aspects with the respondent farmers were supported with a scoring method to determine the condition of socioeconomic vulnerability of farmers, while the qualitative approach carried out through in-depth interviews to some informants who have been affected by the project. The results shows that the presence of the petroleum mining industry has not had a positive impact yet on the farmers’ socioeconomic conditions. By the 700 hectares of agricultural land conversion, the agricultural production capacity of the area tends to decrease, including by the decreasing of the productivity of some agricultural land in a radius of 500 m from the fenceof the mining area as they are affected by the fence’s spotlight. The farmers' income also tends to decrease because of the decreasing of their working hours as the big loss of agricultural land in the area. As a result, many farmers should work outside of the area to search replacement of the arable land. These situations lead to a moderate condition of social and economic vulnerability for the farmers, especially for those who still have sufficient assets to meet the needs of their economic. 

Analysis of Land Use Change in Binhai New Area Based on Remote Sensing Images

2014 ◽  
Vol 933 ◽  
pp. 1014-1018
Author(s):  
Chun Zhe Xia ◽  
Xiao Shen Zheng ◽  
Meng Yin Zhao
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Economic Development ◽  
Land Use Change ◽  
Land Reclamation ◽  
Ecological Environment ◽  
Remote Sensing Images ◽  
Construction Sites ◽  
Salt Works ◽  
Unused Land

Based on the TM remote sensing images in autumn 1992, 2001 and 2009, the land use change of Binhai New Area is analyzed through the ENVI software. During remote sensing images processed, Binhai New Area is collected according to the administrative zoning maps. The results of land use change are vegetation cover and water changing little, which show the ecological environment remained stable in overall Binhai New Area. At that time, the area of unused land and salt works area is reduced, and the area of land reclamation and construction sites is increased, which indicates the rapid economic development of Binhai new area in past 20 years.

Assessing the impact of land-use change for solar park development in the UK: implications for biodiversity and ecosystem services

2021 ◽  
Author(s):  
Fabio Carvalho ◽  
Alona Armstrong ◽  
Mark Ashby ◽  
Belinda Howell ◽  
Hannah Montag ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Indicator Species ◽  
Ecosystem Service ◽  
Agricultural Land ◽  
Arable Land ◽  
Food Plants ◽  
Ipcc Report ◽  
The Impact

<p>According to the latest IPCC report, 70 to 85% of electricity generation worldwide will need to come from renewable sources of energy by 2050 if countries are to meet internationally agreed greenhouse gas emissions targets. In the rush to decarbonise energy supplies to meet such targets, solar parks (SPs) have proliferated around the world, with uncertain implications for the biodiversity and ecosystem service (ES) provision of hosting ecosystems. SPs necessitate significant land-use change that could disproportionately affect the local environment compared to other low-carbon sources.</p><p>In Britain, SPs are commonly built on intensive arable land and managed as grasslands. This offers both risks and opportunities for ecosystem health, yet evidence for assessing ecosystem consequences is scarce. Therefore, there is an urgent need to understand how net environmental gains can be integrated into land-use change for solar energy development to address the current biodiversity and climate crises.</p><p>We used vegetation data from over 70 SPs and 50 countryside survey plots (1 km<sup>2</sup>) in England and Wales to assess the effects of land-use change for SPs on plant diversity and ES provision. We assessed ten habitat indicator variables (e.g., species richness, larval food plants, forage grasses, bird food plants) associated to functionally important plant species that have the potential to enhance ecosystem service delivery.</p><p>SPs showed higher diversity of habitat indicator species than arable land and improved grasslands, with vegetation between solar arrays showing higher numbers of species important for ES provision (e.g., N-fixing species important for nutrient cycling) than vegetation under solar panels. Overall, the diversity of habitat indicator species seemed highly dependent on former land-use, showing SPs have the potential to enhance ecosystem services provision if built on degraded agricultural land.</p><p>Developing this understanding will enable optimisation of SP design and management to ensure delivery of ecosystem co-benefits from this growing land-use.</p>

scholarly journals Temporal-Spatial Variations and Influencing Factor of Land Use Change in Xinjiang, Central Asia, from 1995 to 2015

2019 ◽  
Vol 11 (3) ◽  
pp. 696 ◽  
Author(s):  
Qun Liu ◽  
Zhaoping Yang ◽  
Cuirong Wang ◽  
Fang Han
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Central Asia ◽  
Influencing Factor ◽  
Land Use Changes ◽  
Spatial Variations ◽  
Water Bodies ◽  
Unused Land ◽  
Basin Scale ◽  
The Impact

In this study, we analyzed the temporal-spatial variations of the characteristics of land use change in central Asia over the past two decades. This was conducted using four indicators (change rate, equilibrium extent, dynamic index, and transfer direction) and a multi-scale correlation analysis method, which explained the impact of recent environmental transformations on land use changes. The results indicated that the integrated dynamic degree of land use increased by 2.2% from 1995 to 2015. The areas of cropland, water bodies, and artificial land increased, with rates of 1047 km2/a, 39 km2/a, and 129 km2/a, respectively. On the other hand, the areas of forest, grassland, and unused land decreased, with rates of 54 km2/a, 803 km2/a, and 359 km2/a, respectively. There were significant increases in cropland and water bodies from 1995 to 2005, while the amount of artificial land significantly increased from 2005 to 2015. The increased areas of cropland in Xinjiang were mainly converted from grassland and unused land from 1995 to 2015, while the artificial land increase was mainly a result of the conversion from cropland, grassland, and unused land. The area of cropland rapidly expanded in south Xinjiang, which has led to centroid position to move cropland in Xinjiang in a southwest direction. Economic development and the rapid growth of population size are the main factors responsible for the cropland increases in Xinjiang. Runoff variations have a key impact on cropland changes at the river basin scale, as seen in three typical river basins.

scholarly journals The Influence of Land Use Evolution on the Visitor Economy in Wuhan from the Perspective of Ecological Service Value

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Qiao Chen ◽  
Yan Mao ◽  
Alastair M. Morrison
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Arable Land ◽  
Support Service ◽  
Water Area ◽  
Urban Land Use ◽  
Effective Control ◽  
Forest Land ◽  
Construction Land ◽  
Ecological Service

This research used transfer matrix, dynamic attitude, and a linear regression model to investigate the characteristics of land-use change and evolution of ecological service values and their impacts on Wuhan’s visitor economy. The results showed that: (1) the land-use scale in the Wuhan metropolitan area changed significantly from 1990 to 2018. The area of arable land, forest land, and grassland decreased at a faster rate, whereas that of water and construction land continued to increase; (2) there were differences in the dynamic attitudes of land-use at different stages. The dynamic attitude of construction land-use changed the most with cultivated land, water area, forest land, unused land, and grassland. From 1990 to 2005, land-use change exhibited a relatively gentle trend, whereas from 2005 to 2020, it accelerated; (3) although land-use regulation service, support service, and cultural service values positively responded to tourism economic growth, their influences were dissimilar. This study clarifies the effects of urban land-use on tourism economic development and provides a reference for its effective control.

Impact of land use/cover change on the relationship between precipitation and runoff in typical area

2018 ◽  
Vol 9 (2) ◽  
pp. 261-274 ◽  
Author(s):  
Bao-qi Li ◽  
Wei-hua Xiao ◽  
Yi-cheng Wang ◽  
Ming-zhi Yang ◽  
Ya Huang
Keyword(s):  
Land Use ◽  
River Basin ◽  
Assessment Tool ◽  
Forest Land ◽  
Runoff Generation ◽  
Dry Land ◽  
Unused Land ◽  
Land Use Types ◽  
The Impact ◽  
The Relationship

Abstract To study the impact of land use/cover change (LUCC), the relationship between precipitation and runoff was investigated. Our main objective was to ensure reasonable development, management, and sustainable utilization of water resources at a watershed scale. To investigate the relationship between precipitation and runoff, a SWAT (Soil and Water Assessment Tool) model was developed by analyzing LUCC in Naoli River basin. Then, runoff response was analyzed under different LUCC conditions. The contribution coefficient of different land use types to runoff was calculated. The results of this research study are as follows. From 1986 to 2014, dry land, forest land, paddy fields, and unused land were the major land use types, accounting for more than 93% of the total catchment. On the other hand, grass land, building land, and water bodies accounted for a small proportion. Among the four main land use types, the contribution coefficient of forest land was 3.10 mm·km−2. This indicates that forest land was suitable for runoff generation. The contribution coefficient of dry land, unused land (fluvial wetland in Naoli River basin), and paddy field are −0.11, −0.37, and −0.83 mm·km−2, respectively. This implies that these three land use types were adverse factors for runoff generation.

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