Spatial disparities of regional forest land change based on ESDA and GIS at the county level in Beijing-Tianjin-Hebei area

Xie, Hualin; Kung, Chih-Chun; Yi, Zhao

doi:10.1007/s11707-012-0338-7

Cited by 31 publications

(15 citation statements)

References 13 publications

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“…It is expressed by the distribution state of local heterogeneity and can be used to measure the spatial disparities degree between the region i and its peri-regions. Local Moran’s I is the indicator related with global Moran’s I in the internal connection [22,23,24,25]. Its formula is as follows: where z i is the standardization of observation value in the research unit i ; z j is the standardization of observation value in the research unit j ; W ij is the spatial weight matrix.…”

Section: Methodsmentioning

confidence: 99%

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Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Xie

Wang

Hong-sheng

2013

IJERPH

Self Cite

144

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Land use/land cover change has been attracting increasing attention in the field of global environmental change research because of its role in the social and ecological environment. To explore the ecological risk characteristics of land use change in the Poyang Lake Eco-economic Zone of China, an eco-risk index was established in this study by the combination of a landscape disturbance index with a landscape fragmentation index. Spatial distribution and gradient difference of land use eco-risk are analyzed by using the methods of spatial autocorrelation and semivariance. Results show that ecological risk in the study area has a positive correlation, and there is a decreasing trend with the increase of grain size both in 1995 and 2005. Because the area of high eco-risk value increased from 1995 to 2005, eco-environment quality declined slightly in the study area. There are distinct spatial changes in the concentrated areas with high land use eco-risk values from 1995 to 2005. The step length of spatial separation of land use eco-risk is comparatively long—58 km in 1995 and 11 km in 2005—respectively. There are still nonstructural factors affecting the quality of the regional ecological environment at some small-scales. Our research results can provide some useful information for land eco-management, eco-environmental harnessing and restoration. In the future, some measures should be put forward in the regions with high eco-risk value, which include strengthening land use management, avoiding unreasonable types of land use and reducing the degree of fragmentation and separation.

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Section: Methodsmentioning

confidence: 99%

“…Moran’s I scatter plot can visually reflect the spatial autocorrelation [23,25]. Under certain significant level, we can obtain the clustering map of LISA by combining the scatter plot of Moran’s I .…”

Section: Methodsmentioning

confidence: 99%

Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Xie

Wang

Hong-sheng

2013

IJERPH

Self Cite

144

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“…GeoDa 1.4.6 software is used to calculate the overall and partial spatial relativity evaluation index of urban-rural integration development coordination index for each county in the Qinling-Daba Mountains year by year [39,40].…”

Section: Exploratory Spatial Data Analysis Of the Urban-rural Integramentioning

confidence: 99%

A Study of the Time–Space Evolution Characteristics of Urban–Rural Integration Development in a Mountainous Area Based on ESDA-GIS: The Case of the Qinling-Daba Mountains in China

Cui

2016

Sustainability

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Abstract:The multi-index comprehensive evaluation method is used in this paper to estimate the urban-rural integration development level of the Qinling-Daba Mountains in China and build an evaluation index system that is composed by five subsystems and 18 basic indexes. The integration of the indexes is conducted through linear weight sum method and the weight of each index is determined through analytic network process to get the urban-rural integration development coordination indexes of each county in the Qinling-Daba Mountains. Meanwhile, the time-space evolution characteristic of urban-rural integration development in the Qinling-Daba Mountains in the past 10 years is studied through exploratory spatial data analysis and GIS technology. The results indicate that urban-rural integration displays a spatial imbalance, with a situation of polarization, i.e., high-level counties gathering with each other; the spatial aggregation rule of west-high, east-low is coupled with land conditions, industrial activity, and the transportation situation to affect the urban-rural development. Finally, we propose that development priorities should be circular industry, eco-agriculture, and tourism to accelerate urban-rural development and work towards a comprehensive modern transportation system and other infrastructure in the Qinling-Daba Mountains.

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“…Spatial correlation analysis refers to the quantitative measurement of the spatial correlation and heterogeneity between geographical phenomena [28]. Spatial correlation analysis includes the establishment of a spatially neighboring matrix and its measurement, and a test of spatial autocorrelation.…”

Section: Land Use Degree Indexmentioning

confidence: 99%

Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China

2016

Sustainability

Self Cite

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Abstract:A scientific definition of the type of mountain area and an exploration of the spatial correlation between different types of mountain areas and regional land use at the county level are important for reasonable land resource utilization and regional sustainable development. Here, a geographic information system was used to analyze digital elevation model data and to define the extent of mountainous land and types of mountain areas in Guizhou province. Exploratory spatial data analysis was used to study the spatial coupling relation between the type of mountain area and land use degree in Guizhou province at the county level. The results were as follows:(1) Guizhou province has a high proportion of mountainous land, with a ratio of mountainous land to non-mountainous land of 88:11. The county-level administrative units in Guizhou province were exclusively mountainous, consisting of eight semi mountainous counties, nine quasi mountainous counties, 35 apparently mountainous counties, 13 type I completely mountainous counties, and 23 type II completely mountainous counties; (2) The land use degree at the county level in Guizhou province have remarkable spatial differentiation characteristics. Counties with a high cultivation coefficient are mainly located in the western area along the line between Yinjiang county and Anlong county in west Guizhou province. Counties with a large proportion of construction land or a high integrated index of land use degree are mainly distributed in the economically developed area of central Guizhou province, including parts of the counties (districts/cities) administrated by Guiyang, Zunyi, Liupanshui, Anshun, Duyun, and Kaili; (3) County-level administrative units with relatively flat topography and a low proportion of mountainous land have a large proportion of construction land and a large degree of regional land exploitation. However, the extent of cultivation of county-level administrative units under similar topography differs considerably; (4) The increase in urban land intensity and the decrease in cultivated land intensity are distinctive features of land system change in mountain areas, which is conducive to the sustainable development of mountain.

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Spatial disparities of regional forest land change based on ESDA and GIS at the county level in Beijing-Tianjin-Hebei area

Cited by 31 publications

References 13 publications

Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

A Study of the Time–Space Evolution Characteristics of Urban–Rural Integration Development in a Mountainous Area Based on ESDA-GIS: The Case of the Qinling-Daba Mountains in China

Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China

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