Coupling relationship between urban spatial expansion and landscape ecological risk in Nanchang City

Fei, 王飞 Wang; Changsheng, 叶长盛 Ye; Jiqing, 华吉庆 Hua; Xin, 李欣 Li

doi:10.5846/stxb201811082426

Cited by 5 publications

(4 citation statements)

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“…Therefore, we constructed an assessment model based on the landscape pattern index to investigate the correlation between land use change and landscape ecological risk, providing an efficient and convenient procedure for assessing the spatial and temporal variability characteristics of LER. The assessment model has been widely used for evaluation of LER caused by land use change [57,58]. The LER pattern in the Yuanmou Basin has obvious spatial differentiation characteristics, with an overall trend of high in the center and low in the surroundings, which can be related to the distribution of different land use types.…”

Section: Landscape Ecological Risks In Response To Land Use Changementioning

confidence: 99%

Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin

Zhao,

Shi,

et al. 2023

Land

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Investigating the distribution characteristics of landscape ecological risk (LER) on terrain gradients is of great significance for optimizing the landscape pattern of ecologically vulnerable areas in mountainous regions and maintaining the sustainable development of the ecological environment. The Yuanmou Basin is a typical ecologically vulnerable area in the southwestern mountainous region of China, where issues such as soil erosion are pronounced, becoming one of the main factors restricting regional economic development. This study selected the Yuanmou Basin as the study area, and, using land use data from 2000, 2010, and 2020, constructed an LER assessment model based on disturbance and vulnerability. By integrating elevation and topographic position index data, we examined the spatiotemporal evolution characteristics of LER under different terrain gradients. The LER assessment results are summarized as follows: (1) From 2000 to 2020, the land use types of the Yuanmou Basin were mainly grassland, forest land and cropland. The land use showed a sharp increase in the cropland area and a simultaneous decrease in the grassland area, indicating a main land use evolution direction from grassland to cropland. (2) Over the span of 20 years, the average landscape ecological risk in the Yuanmou Basin slightly increased, specifically manifesting as a significant reduction in low ecological risk areas, while areas of medium and slightly lower ecological risks saw an increase. (3) The spatial distribution of LER in the Yuanmou Basin presents a pattern of being low on the periphery and high in the center, with significant positive spatial correlation, obvious spatial aggregation, as well as “high-high” and “low-low” clustering. (4) Low- and lower-risk areas in the Yuanmou Basin are distributed in the non-arid thermal zone and the medium–high terrain zone, while areas of medium, higher and high risk levels are mainly distributed in the arid thermal zone and the low terrain zone. The research results provide a scientific basis for optimizing and developing the land resources of the Yuanmou Basin.

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Section: Landscape Ecological Risks In Response To Land Use Changementioning

confidence: 99%

Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin

Zhao,

Shi,

et al. 2023

Land

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“…The landscape fragility index is classified into six grades: unused land = 6, waters = 5, arable land = 4, grassland = 3, forestland = 2, urban and rural residential land = 1, other construction lands = 1 (Wang et al, 2019).…”

Section: Landscape Fragility Index F I Obtained By Experts Assignmen...mentioning

confidence: 99%

Landscape ecological risk assessment and influencing factor analysis of basins in suburban areas of large cities – A case study of the Fuchunjiang River Basin, China

et al. 2023

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Landscape ecological risk reflects the impact of human activities or natural hazards on landscape patterns, functions, and processes in a region. The scientific assessment of its evolutionary trends can play an essential role in maintaining and improving regional human wellbeing. This study focused on the Fuchunjiang River Basin in the suburbs of Hangzhou, a large city in China with a high degree of landscape heterogeneity and rapid economic growth. Based on land use data from 1990 to 2020, an ecological risk assessment model and geodetector tools were combined to study the spatiotemporal variation characteristics and influencing factors of landscape ecological risk in the basin. The results showed the following: (1) from 1990 to 2020, the landscape pattern of various land use types showed a general trend of an increasing degree of agglomeration and decreasing loss index; (2) the spatial distribution pattern of landscape ecological risk was “high in the northwest and low in the southeast.” From basin to township scales, landscape ecological risk showed a decreasing trend on long time scales, although the changes were relatively drastic in short time periods; (3) GDP, human interference, area of urban and rural residential land, area of arable land transferred in, and area of arable land transferred out were the dominant influencing factors of landscape ecological risk; (4) the coupling between landscape ecological risk and GDP in 2020 exhibited an inverted “U” shaped relationship, indicating that the environmental Kuznets curve (EKC) may have the same applicability in the ecological risk management; (5) according to the main functions of different risk agglomerations, targeted ecological risk management strategies were proposed. In short, this study carried out the landscape ecological risk assessment at the township scale for the first time, quantitatively analyzed the relationship between economic development and ecological risk, and proposed targeted risk prevention strategies, which are instructive for other basin areas that are experiencing rapid urbanization in the world.

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“…(1) Determination of the evaluation unit of the study area Through the Fishnet Analysis tool in ArcGIS 10.8, taking into account the study area's extent and the patch areas of different landscape types, following the 2-5 times principle based on patch size [42][43][44], the study area is divided into 243 square grid cells of 10 km×10 km each using an equidistant method. A risk index is then constructed to determine the risk value at the center point of each landscape unit, which is utilized to calculate the landscape ecological security index (Fig 3).…”

Section: Landscape Loss Degree Index (R I )mentioning

confidence: 99%

Spatiotemporal patterns and prediction of landscape ecological security in Xishuangbanna from 1996–2030

Zhang,

Ge,

et al. 2023

PLoS ONE

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In recent years, the landscape ecological security of Xishuangbanna in southwest China has become an essential factor affecting the cross-border ecological security in South Asia and Southeast Asia. Based on the change of land use in Xishuangbanna, with the help of "3S" technology, landscape ecology theory, and gray prediction model, the spatial and developmental trends of landscape ecological security in Xishuangbanna from 1996–2030 could be determined. In more than 20 years, the woodland landscape area in Xishuangbanna decreased, and the fragmentation of construction land has increased overall. In 1996, the overall landscape ecological safety was good, with 63.5% of the total area of grade I and II. In 2003, the proportion of the grade I and grade II areas decreased, with landscape ecological security problems appearing. In 2010, the overall landscape ecological security area reached 74.5%, the largest proportion in more than 20 years. The grade V area accounted for only 9% and was mainly distributed on the border of Menghai County and central Jinghong City. In 2017, The grade IV and V areas was further increased, and the ecological security problem intensified. The prediction results showed that from 2023 to 2030, the regions of grades I and II increased, but the proportion of level V regions increased. Furthermore, the grade IV transformed to grade V rapidly, reaching its highest value in more than 20 years. From 1996 to 2030, the landscape ecological security space significantly evolved, showing an evident "east-south" trend in movement and eventually shifting to the southeast.

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Coupling relationship between urban spatial expansion and landscape ecological risk in Nanchang City

Cited by 5 publications

References 0 publications

Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin

Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin

Landscape ecological risk assessment and influencing factor analysis of basins in suburban areas of large cities – A case study of the Fuchunjiang River Basin, China

Spatiotemporal patterns and prediction of landscape ecological security in Xishuangbanna from 1996–2030

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