Study on the Landscape Pattern Change of Haikou City Based on GIS

2014 ◽  
Vol 989-994 ◽  
pp. 5394-5397
Author(s):  
Feng Xia Wang ◽  
Wei Hong Liu
Keyword(s):  
Landscape Pattern ◽  
Main Part ◽  
Landscape Fragmentation ◽  
Water Area ◽  
Forest Land ◽  
Gis Technology ◽  
Balanced Development ◽  
Remote Sensing Technique ◽  
Unused Land ◽  
Fragmentation Degree

The article is studying on the Haikou city, using Remote Sensing technique and GIS technology, with ArcGIS, ERDAS, FRAGSTAS, analyzing the temporal and spatial variation of landscape in Haikou City from 2000 to 2010, drawing the conclusion: residents, construction, farmland and forest land is the main part of landscape pattern and increased rapidly. Besides the decrease of unused land and water area, it also reflects that not only the landscape fragmentation degree of the integral sight in Haikou City in relatively high, but the landscape fragmentation degree of the residents, construction, farmland and forest land, which are the main part of Haikou City , is also relatively high.. Besides, the data also shows that each landscape didn’t connect well and the exchange of material energy among landscapes is not smoothly, which go against the mutual development between the landscape. However, the distribution of landscape in Haikou City is fairly balanced. There is no particularly advantaged type, which contributes to the balanced development of the landscape.

scholarly journals Landscape Fragmentation in Qinling–Daba Mountains Nature Reserves and Its Influencing Factors

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1124
Author(s):  
Yingzhuo Zhang ◽  
Haoran Yin ◽  
Lianqi Zhu ◽  
Changhong Miao
Keyword(s):  
Habitat Quality ◽  
Human Activity ◽  
Landscape Pattern ◽  
Spatial Differentiation ◽  
Landscape Fragmentation ◽  
Nature Reserves ◽  
Anthropogenic Factors ◽  
Gis Technology ◽  
Activity Intensity ◽  
Fragmentation Degree

Climate change and intensified human activity have altered the landscape pattern of nature reserves and are expected to induce persistent changes in habitat quality. Using GIS technology and landscape ecological theories, we quantitatively analyzed landscape fragmentation characteristics and the driving factors for the interior and peripheries of the Qinling–Daba Mountains nature reserves during 2010–2017. Using spatial principal component analysis, landscape pattern indices, and Geodetector, we evaluated the habitat quality status of different nature reserve types in different regions and the impacts of human disturbance on these areas. The results are as follows: (1) Most national nature reserves in the Qinling–Daba Mountains were moderately or highly fragmented during 2010–2017, and the fragmentation degree of a few reserves exhibited a decreasing trend. (2) The fragmentation degree of landscape patches from the core areas to the experimental areas of the inner nature reserves showed a trend of being low in the middle and high in the surrounding area; the level of landscape fragmentation gradually decreased from the edge of 1 km (M-1) to 5 km (M-5). (3) There was spatial differentiation in the intensity of landscape fragmentation among the nature reserves; human activity intensity, land-use degree, elevation, slope gradient, and topographic relief were the factors influencing the spatial differentiation of landscape fragmentation, and the contribution of anthropogenic factors was significantly greater than that of natural factors. Human activities, such as the construction of network infrastructures, irrational partition management, expansion of agricultural and industrial production activities, were the main reasons for the spatial differentiation of landscape fragmentation in the nature reserves. These results can provide significant scientific support for ecological restoration in the nature reserves and contribute to the coordinated development between socio-economic system and ecological environment in the exceedingly impoverished areas.

The Dynamic Evaluation of Ecosystem Services Value (ESV) Based on the Analysis of the Landscape Pattern: A Case of Changshou District in Three Gorges Area

2012 ◽  
Vol 518-523 ◽  
pp. 125-131
Author(s):  
Wu Ying Yi ◽  
Wei Ci Su
Keyword(s):  
Land Use ◽  
Landscape Pattern ◽  
Diversity Index ◽  
Landscape Fragmentation ◽  
Gis Technology ◽  
Dry Land ◽  
Wiener Diversity Index ◽  
Fragmentation Index ◽  
Unused Land ◽  
Landscape Dynamic

Land use is the result of the interaction between the Nature and the Man; the change of land use not only affects landscape pattern changes, but also affects ESV. The paper is based on RS and GIS technology, taking Changshou district of Chongqing as an example. We select and calculate the Shannon-Wiener diversity index (SHDI), landscape fragmentation index (LTFI) and landscape dynamic index (K), to analyze the landscape pattern changes, and the theories of ESV is used in this paper. The results indicate: In 2002 and 2009, the total of patches increases. The area and the patches of forest land, brush, town and construction increase, while the area and the patches of the paddy, dry land, and the unused land reduce. SHDI and LTFI increase slightly. ESV ascends from 191million yuan to 197million yuan from 2002 to 2009, the net ascending value is 61million. The results show the ecological environment has improved a little in Changshou.

scholarly journals Spatial-temporal Pattern Evolution of Ecological Land Use in Hebei Province

2019 ◽  
Vol 118 ◽  
pp. 03045
Author(s):  
Qian Wang ◽  
Jinlu Li ◽  
Zhongya Liang
Keyword(s):  
Land Use ◽  
Temporal Pattern ◽  
Water Area ◽  
Hebei Province ◽  
Forest Land ◽  
High Concentration ◽  
Gis Technology ◽  
Related Area ◽  
Evolution Characteristics ◽  
Land Types

Ecological land use is an important component of ecosystem. This study presents spatial and temporal pattern evolution characteristics of ecological land for the period from 2009 to 2017, based on GIS technology and mathematical statistics. The results show that ecological land structure is stable, amount tends to decrease, average annual decrease of 21, 000 hm2. Ecological land types were mainly transformed into farmland and urban land, Internal transformed mainly between woodland and grassland. Spatial aggregation were existed, Aggregation degree: forest land > grassland > water area and wetland > desert. But high concentration areas (“HH” related area) is reduced from 11 counties to 9 counties, and low concentration areas (“LL” related areas) increased from 37 counties to 40 counties, from 2009 to 2017. According to the results, proposals for ecological land use were put forward.

Ecological Safety Assessment in Hulunbeier Steppe Based on the Landscape Pattern

2013 ◽  
Vol 726-731 ◽  
pp. 1121-1129 ◽  
Author(s):  
Jun Jing Gao ◽  
Shi Hai Lv ◽  
Zhi Rong Zheng ◽  
Chao Yang Feng ◽  
Sheng Xing Ye ◽  
...  
Keyword(s):  
Landscape Pattern ◽  
Spatial Information ◽  
Landscape Fragmentation ◽  
Ecological Safety ◽  
Topographic Map ◽  
Safety Index ◽  
Continuous Increase ◽  
Construction Land ◽  
Fragmentation Index ◽  
Unused Land

Based on TM remote sensing image and topographic map, the spatial information of landscape pattern was extracted in Hulunbeier steppe in 1995, 2000, 2005 and 2010. With the principles and methods of landscape ecology, landscape fragmentation index, division index, dominance index and fragility index were selected to construct the ecological safety index which was used to quantitatively analyze the dynamic changes of landscape pattern and elucidated ecological safety status in study area. Result showed that the overall landscape tended to become fragmentized and complicated with the total number of patches increasing in the study area from 1995 to 2010. The ecological safety index of landscape types can be classified into four grades, grassland > unused land, wood land > water body, crop land > construction land. Overall, the regional ecological safety status got worse with the ecological safety index of natural landscapes decreasing and the ecological safety index of artificial landscapes increasing. In particular, the area of construction land had a continuous increase with a higher growth rate (7.41% per year during 2005~2010), which will be unfavorable to regional ecological safety as the biggest potential risk.

Characteristics of Landscape (Land Use) Change and its Driving Force in County - A Case Study of Shunyi District of Beijing

2014 ◽  
Vol 692 ◽  
pp. 115-120
Author(s):  
Shuai Shi ◽  
Zhi Hui Chen ◽  
Ji Qi ◽  
Yun Liu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Social Economy ◽  
Water Area ◽  
Cultivated Land ◽  
Forest Land ◽  
Gis Technology ◽  
Construction Land ◽  
Grass Land

Based on land use data and social economy data in 1999 and 2005, this article analyzed the spatial-temporal characteristics and driving factors of the land use change in Shunyi district by GIS technology and logistic regression analysis method. The result showed that transformation among different land use was dramatically changed from 1999 to 2005, such as the increase of construction land and the decrease of cultivated land and water area. Land transfer was mainly cultivated land to construction land, forest land, garden land, other land use; forest land to grass land and water area to cultivated land. The area of land changed from cultivated land to construction land was 14250.2hm2, and the ratio of the change is 20.09%; the changed land area from forest land to grass land was 887.6hm2 with 17.85% of changed ratio; the transformation area from water area to agricultural land was 1099.7hm2 and 23.75% of transformation ratio. The development of secondary and tertiary industry is the major driving factor of land use change from cultivated land to construction land, while the major reason for the changes from forest land to grass land and from water area to cultivated land was that the Caobai river has been dried up.

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.

Analysis of Ecological Landscape Pattern Change in the Poyang Lake Eco-Economic Zone of China

2013 ◽  
Vol 864-867 ◽  
pp. 2639-2644
Author(s):  
Gui Ying Liu ◽  
Peng Wang ◽  
Hua Lin Xie
Keyword(s):  
Landscape Pattern ◽  
Pattern Analysis ◽  
Poyang Lake ◽  
Gis Technology ◽  
Aggregation Index ◽  
Landscape Pattern Analysis ◽  
Rs And Gis ◽  
Economic Zone ◽  
Ecological Landscape ◽  
Degree Of Fragmentation

In this paper, based on RS and GIS technology and landscape pattern analysis, the changes of ecological landscape in the Poyang Lake Eco-economic Zone were analyzed from 1990 to 2005. Main results are as follows. There was a decreasing trend of wetland and forest from 1990 to 2005. The result of landscape pattern analysis showed that there was an increase in the degree of fragmentation of ecological landscape in the study area. The increased Perimeter-area fractal dimension indicated the shape of ecological landscape became more and more rules. Aggregation Index (AI) of lake increased from 86.0066 in 1990 to 86.123 in 2005, which showed that the overall aggregation degree of ecological landscape in the Poyang Lake Eco-economic Zone is in rise.

Dynamic Changes of Landscape Pattern in Coastal Urban Belt in Liaoning

2012 ◽  
Vol 610-613 ◽  
pp. 3765-3770
Author(s):  
Hai De Hu
Keyword(s):  
Landscape Pattern ◽  
Driving Forces ◽  
Field Investigation ◽  
Water Area ◽  
Residential Area ◽  
Remote Sensing Images ◽  
Dynamic Changes ◽  
Class Level ◽  
Salt Pan ◽  
Patch Density

Based on field investigation and social-economical data, in combination with the 1992 and 2007 Landsat TM remote sensing images of Coastal Urban Belt in Liaoning, this paper analyzed the dynamic changes of landscape pattern at both class and landscape levels and their driving forces in the study area. From 1992 to 2007, the landscape pattern in the study area experienced a significant change. At class level, the area of farmland, forestland, wetland, grassland, and abandoned land decreased, while the area of residential area, salt pan, and water area increased. At landscape level, both total number of patches and patch density increased significantly, while the largest patch index decreased, and the complication of landscape shape intensified.

Response of Ecological Services Value to Land Use Change in the Shiyang River Basin: A Case Study in Wuwei Region

2012 ◽  
Vol 518-523 ◽  
pp. 5116-5120
Author(s):  
Pei Ji Shi ◽  
Xue Bin Zhang ◽  
Jun Luo ◽  
Xue Min Zhang
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
River Basin ◽  
Ecosystem Service ◽  
Main Part ◽  
Land Use Pattern ◽  
Shiyang River Basin ◽  
Unused Land

Based on the detailed survey of land use change in Shiyang river basin, referencing Costanza, and Xie et al’ research results of the value of ecosystem services, this article probed the variation of land use and value of ecosystem service in Wuwei region. The results are: from 1997 to 2006, the area of woodland, construction land and garden land are increasing, while farmland, grassland, water and unused land are continuing to decrease. Land-use intensity is gradually increasing, the land use pattern towards to a centralized style. The values of ecosystem services are overall upward, and change faster than ever. The main part of the value of ecosystem service is constituted by the value of grassland, woodland and farmland. So it’s important to control the expansion of urban construction, strength the protection of the water, restore and enhance regional ecosystem services in the future.

scholarly journals Quantifying Land Cover Change Due to Petroleum Exploration and Production in the Haynesville Shale Region Using Remote Sensing

2015 ◽  
Vol 6 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Daniel Unger ◽  
I-Kuai Hung ◽  
Kenneth Farrish ◽  
Darinda Dans
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
Landscape Change ◽  
Oil And Gas ◽  
Agricultural Land ◽  
Landscape Fragmentation ◽  
Petroleum Exploration ◽  
Forest Land ◽  
The Past ◽  
Exploration And Production

The Haynesville Shale lies under areas of Louisiana and Texas and is one of the largest gas plays in the U.S. Encompassing approximately 2.9 million ha, this area has been subject to intensive exploration for oil and gas, while over 90% of it has traditionally been used for forestry and agriculture. In order to detect the landscape change in the past few decades, Landsat Thematic Mapper (TM) imagery for six years (1984, 1989, 1994, 2000, 2006, and 2011) was acquired. Unsupervised classifications were performed to classify each image into four cover types: agriculture, forest, well pad, and other. Change detection was then conducted between two classified maps of different years for a time series analysis. Finally, landscape metrics were calculated to assess landscape fragmentation. The overall classification accuracy ranged from 84.7% to 88.3%. The total amount of land cover change from 1984 to 2011 was 24%, with 0.9% of agricultural land and 0.4% of forest land changed to well pads. The results of Patch-Per-Unit area (PPU) index indicated that the well pad class was highly fragmented, while agriculture (4.4-8.6 per sq km) consistently showed a higher magnitude of fragmentation than forest (0.8-1.4 per sq km).

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