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.

A Study of Ecological Security Assessment for Natural Reserve

2015 ◽  
Vol 1092-1093 ◽  
pp. 1081-1086
Author(s):  
Zhao Yan Diao ◽  
De Rong Su ◽  
Shi Hai Lv ◽  
Zhi Rong Zheng ◽  
Sheng Xing Ye ◽  
...  
Keyword(s):  
Landscape Pattern ◽  
Spatial Information ◽  
Ecological Security ◽  
Security Assessment ◽  
Ecological Safety ◽  
Topographic Map ◽  
Safety Index ◽  
Dynamic Changes ◽  
Natural Reserve ◽  
Safe Area

Based on TM remote sensing image and topographic map, the spatial information of landscape pattern was extracted in study areas in 1990, 2000 and 2010. With the principles and methods of landscape ecology, land use/cover change, ecosystem service values 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 During the 20 years from 1990 to 2010, as human factors interference increase, the farmland and construction land increased by 21.11% and 15.38% respectively, the grassland area is reduced by 27.57%.Cropland had an increased trend during the period of 1990 to 2010 period, The wood land and swamp land had an increased trend during the period of 1990 to 2000 area also, but reduced during from 2000 to 2010.From 1990 to 2010, the whole study area lied in the level of relatively safer, but the safe area was reduced the amount of 4967 ha during 2000 to 2010. The relatively safer land areas was increased first then reduced during the whole study period, the relatively non-safer level land and relatively safer level land areas were accounting for 10.81% and 2.92% of the total area respectively.

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.

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 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 The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator

2018 ◽  
Vol 7 (11) ◽  
pp. 428 ◽  
Author(s):  
Monika Kuffer ◽  
Jiong Wang ◽  
Michael Nagenborg ◽  
Karin Pfeffer ◽  
Divyani Kohli ◽  
...  
Keyword(s):  
Latin American ◽  
Spatial Information ◽  
Earth Observation ◽  
Living Conditions ◽  
Ethical Considerations ◽  
Continuous Increase ◽  
Data Provision ◽  
And Performance ◽  
American Cities ◽  
The City

The continuous increase in deprived living conditions in many cities of the Global South contradicts efforts to make cities inclusive, safe, resilient, and sustainable places. Using examples of Asian, African, and Latin American cities, this study shows the scope and limits of earth observation (EO)-based mapping of deprived living conditions in support of providing consistent global information for the SDG indicator 11.1.1 “proportion of urban population living in slums, informal settlements or inadequate housing”. At the technical level, we compare several EO-based methods and imagery for mapping deprived living conditions, discussing their ability to map such areas including differences in terms of accuracy and performance at the city scale. At the operational level, we compare available municipal maps showing identified deprived areas with the spatial extent of morphological mapped areas of deprived living conditions (using EO) at the city scale, discussing the reasons for inconsistencies between municipal and EO-based maps. We provide an outlook on how EO-based mapping of deprived living conditions could contribute to a global spatial information base to support targeting of deprived living conditions in support of the SDG Goal 11.1.1 indicator, when uncertainties and ethical considerations on data provision are well addressed.

Spatial and Temporal Change Analysis of Landscape Pattern of the Ebinur Lake Wetland

2014 ◽  
Vol 644-650 ◽  
pp. 5391-5394
Author(s):  
Nan Kai ◽  
Ting Ting Huang ◽  
Song Mei Ma ◽  
Xuan Huang ◽  
Rui Rui Dong
Keyword(s):  
Land Use ◽  
Landscape Pattern ◽  
Temporal Change ◽  
Diversity Index ◽  
Change Analysis ◽  
Ebinur Lake ◽  
Fragmentation Index ◽  
Data Source ◽  
Spatial And Temporal Change ◽  
Landscape Patches

We used three TM images of Ebinur lake wetland: 1990, 2003 and 2010 (August) as the basis data source, We basing on the Markov transfer matrix to analyze the change in value and its transfer tendency of each land use type, and using Fragstats 3.3 software to analyze spatial and temporal change of landscape pattern of our study area in nearly 20 years.Our results show : (1) The land use change of the Ebinur lake wetland is significant: both cultivated land and residential land have expanded significantly, vegetation degraded, and the lake areas shrinked; (3)During 1990-2010, the number of landscape patches increased, the landscape diversity index and fragmentation index increased too, the shape of landscape patches tend to fragment, and the contagion index also declined constantly, which all indicating a fragment trend of landscape pattern of Ebinur lake wetland.

scholarly journals Remote Sensing-Based Analysis of Landscape Pattern Evolution in Industrial Rural Areas: A Case of Southern Jiangsu, China

2019 ◽  
Vol 11 (18) ◽  
pp. 4994 ◽  
Author(s):  
Zhu ◽  
Wang ◽  
Sakai
Keyword(s):  
Remote Sensing ◽  
Landscape Pattern ◽  
Rural Areas ◽  
Rural Landscape ◽  
Distribution Data ◽  
Cultivated Land ◽  
Construction Land ◽  
Class Level ◽  
Southern Jiangsu ◽  
Landscape Level

With the rapid economic development of industrial rural areas in Southern Jiangsu, the rural landscape and ecological environment of these industrial rural areas are getting damaged. Based on GIS and RS techniques, Landsat Satellite remote sensing images from 1981, 1991, 2001, 2011 and 2018 were collected for Jiangyin, Zhangjiagang, Changshu and Kunshan, to extract landscape pattern indexes and spatial distribution data. Landscape pattern indexes of the patch-class level and landscape level from each year were calculated by FRAGSTATS. After analyzing and comparing landscape pattern variation of five years, progress, characteristics and driving forces of landscape pattern evolution were explored. At the patch-class level, construction land had continuously encroached on green and cultivated land, exhibiting trends of expansion and centralization. At the landscape level, the number of small patches and degree of landscape fragmentation generally increased. The direct cause of landscape pattern evolution in industrial rural areas of Southern Jiangsu was the encroachment and segmentation of green and cultivated land by construction land, and the dominant factors driving the changes in construction land in the industrial rural areas of Southern Jiangsu were the effects of land and population aggregation exerted by the development of township enterprises and rural industries.

Landscape Ecological Pattern Evolution of ShenMu County in Northern Shaanxi Province

2012 ◽  
Vol 450-451 ◽  
pp. 1065-1068
Author(s):  
Xiao Juan Ren ◽  
Xiao Jian Chen
Keyword(s):  
Landscape Pattern ◽  
Landscape Fragmentation ◽  
Shaanxi Province ◽  
Landscape Indicators ◽  
Evolution Characteristics ◽  
Change Characteristics ◽  
Northern Shaanxi ◽  
Landscape Ecological ◽  
Gis Software ◽  
Ecological Pattern

In this paper, the evolution characteristics of landscape ecological pattern of Shenmu County are addressed based on the principles and methods of landscape ecology and the spatial analysis of GIS and Fragstats in order to maintain and improve the landscape pattern in this region as well as provide support for planning. Firstly, the typical TM / ETM images in 1989, 2002 and 2006 are pro-processed based on GIS software to analyze the land use / cover change process in Shenmu county, and then the change characteristics of landscape pattern are analyzed by landscape indicators. The results demonstrate that the regional differences among different landscape types enlarge gradually, the landscape fragmentation and heterogeneity increase constantly, and the landscape diversity and evenness decrease over the past years.

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