Identification and optimization strategy of county ecological security pattern: A case study in the Loess Plateau, China

Fu, YangXin; Shi, Xinzheng; He, Jun; Yuan, Ye; Qu, Lulu

doi:10.1016/j.ecolind.2019.106030

Cited by 180 publications

(108 citation statements)

References 40 publications

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“…Human activity and ecological environment are intrinsically linked. In recent decades, the rapid development of urbanization has induced a series of environmental problems including the overconsumption of natural resources, environmental degradation, air pollution, and soil erosion [ 1 , 2 , 3 , 4 ]. These environmental problems, in return, intensify the risk of natural disasters and jeopardize human well-being in a wide variety of aspects from health and safety to living standards [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…These environmental problems, in return, intensify the risk of natural disasters and jeopardize human well-being in a wide variety of aspects from health and safety to living standards [ 5 , 6 ]. Sustainable development entails a stable eco-environment and vibrant ecosystem service [ 4 , 7 ]. As such, to achieve the trade-off between economic development and eco-environment protection, the concept of ecological security was proposed in the early 1980s [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…On account of the importance of ecological security, a growing body of literature on identifying ecological security patterns (ESPs) has emerged. To date, press-state-response (PSR) theory and circuit theory are the two conceptual frameworks most applied in extant literature [ 2 , 3 , 4 , 5 , 8 , 12 , 18 , 19 ]. Grounded in RSP theory, researchers first identify the pressure indicators allied with pressure-bearing indicators, then apply mathematical modeling and landscape ecology methods such as the artificial neural network model, entropy matter–element model, and grey model to calculate the weight of each indicator’s influence and integrate the weighted indicators to identify the ESP [ 8 , 18 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…Grounded in RSP theory, researchers first identify the pressure indicators allied with pressure-bearing indicators, then apply mathematical modeling and landscape ecology methods such as the artificial neural network model, entropy matter–element model, and grey model to calculate the weight of each indicator’s influence and integrate the weighted indicators to identify the ESP [ 8 , 18 , 20 , 21 , 22 ]. With respect to the studies based on circuit theory, researchers mainly follow the “ecological sources–ecological corridors–ecological nodes–ecological security pattern” paradigm, in which a series of ecological and spatial analytical approaches such as resistance surface construction, overlay analysis, and network analysis could be applied to achieve the construction of ESP [ 1 , 2 , 3 , 4 , 5 , 10 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…Despite a fruitful line of research in analyzing ESP, there seems to be a lack of ESP application, particularly in incorporating ESP into urban growth simulation [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 15 , 16 , 17 , 18 , 19 , 23 , 24 , 25 ]. On one hand, most ESP-related studies have focused on ESP identification and construction.…”

Section: Introductionmentioning

confidence: 99%

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Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Liu

Wei

Jia

2020

IJERPH

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In recent decades, the ecological security pattern (ESP) has drawn increasing scientific attention against the backdrop of rapid urbanization and worsening ecological environment. Despite numerous achievements in identifying and constructing the ecological security pattern, limited attention has been paid on applying ESP to predict urban growth. To bridge the research gap, this paper took Quanzhou, China as a study case and incorporated the identified ESP into an urban growth simulation with three distinct scenarios. Following the “ecological source–ecological corridor–ecological security pattern” paradigm, the ESP identification was carried out from four single aspects (i.e., water, geology, biodiversity, and recreation) into three levels (i.e., basic ESP, intermediate ESP, and optimal ESP). Grounded in an equally weighted superposition algorithm, the four single ESPs were combined as an integrated ESP (IESP) with three levels. Taking IESP as an exclusion element, urban growth simulation in 2030 was completed with thee SLEUTH model. Drawing on the three levels of IESP, our urban growth simulation contained three scenarios. In terms of urban sprawl distribution coupled with urban growth rate, an optimal urban growth scenario is recommended in this paper to balance both urban development and eco-environment protection. We argue that our ESP-based urban growth simulation results shed new light on predicting urban sprawl and have the potential to inform planners and policymakers to contribute to more environmentally-friendly urban development.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Liu

Wei

Jia

2020

IJERPH

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Regulation simulation of land‐use ecological security, based on a CA model and GIS: A case‐study in Xingguo County, China

2022

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Ecological land is constantly modified by agriculture and construction, which leads to soil erosion, land degradation, soil pollution flood disasters, and many other land ecological security problems, threatening sustainable development. Few studies have been made to construct a land‐use ecological security pattern (LUESP) aimed at achieving urban expansion, food security, and ecological security from the perspective of land‐use needs. This study seeks to provide decision makers with the choice of multi‐scenario LUESPs by simulating the LUESP under different scenarios, offering a reasonable land‐use ecological security regulation strategy. In this paper, the ecological security evaluation method was used to identify key ecological space of a study area and the scenario analysis method was used to set up three security scenarios: ideal security (IS) scenario, satisfactory security (SS) scenario, and bottom‐line security (BS) scenario, thereby constructing the constrained cellular automata (CA) model of the LUESP and simulating the LUESPs under three security scenarios for Xingguo County, China. The results showed that the LUESP construction land index and arable land index did not exceed the total amount of the General Plan of Land Use in Xingguo County under the three security scenarios. Moreover, both key ecological space loss and landscape fragmentation degree were greatly reduced, the ecological patches tend to cluster, and the anti‐jamming ability of the landscape pattern was enhanced. The ranking of LUESPs under three security scenarios was as follows: BS scenario > SS scenario > IS scenario. These results implied that the LUESPs met the demand for land in Xingguo County for ecological security, food security, and economic development, while space occupied is different under three security scenarios. The decision makers can adopt appropriate land‐use ecological security regulation strategies according to the future development plans of the region.

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Early warning of regional land‐use ecological security issues: A case‐study of Xingguo County, China

et al. 2022

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Poor land use remains a major threat to ecological security. Land ecological security early warning and simulation of land‐use patterns based on the ‘anti‐planning’ theory provide many research bases for maintaining land ecological security. However, their utility with respect to illegal development and construction is limited. This study defines the concept of early warning based regional land‐use ecological security and builds a framework system for it. A case‐study investigation was carried out using land use, natural geography and social and economic basic data in Xingguo County, Jiangxi Province, China. The ecological red line zone (a sustainable ecological infrastructure for regional development similar to the municipal infrastructure) of the case area was 1816.16 km2, accounting for 56.49% of the total area; the core zone was 138.23 km2, accounting for 4.30% of the total area. For the natural development scenario, regional construction land pattern changes spread from the centre to the surroundings. In early warning land‐use ecological security, serious alerts were more concentrated in Lianjiang Town, Changgang Township, and Butou Township; moderate alerts were less concentrated and distributed in Longping Township and light alerts were more scattered and distributed in many townships. We propose corresponding prevention strategies for different levels of alerts. The construction of an early warning mechanism for regional land‐use ecological security can assist land spatial planning in regional development. More importantly, it can formulate land‐use ecological risk prevention strategies in advance.

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Identification and optimization strategy of county ecological security pattern: A case study in the Loess Plateau, China

Cited by 180 publications

References 40 publications

Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Regulation simulation of land‐use ecological security, based on a CA model and GIS: A case‐study in Xingguo County, China

Early warning of regional land‐use ecological security issues: A case‐study of Xingguo County, China

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