Construction and Optimization of the Ecological Security Pattern in Liyang, China

Fan, Xiangnan; Cheng, Yao; Tan, Fangqi; Zhao, Tianyi

doi:10.3390/land11101641

Cited by 11 publications

(5 citation statements)

References 51 publications

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“…This comprehensive approach allowed us to identify and extract the ultimate ecological supply sources. Certain scholars opt to compute numerous functions of ecosystem services in order to completely identify and extract ecological supply sources [84,85]. In further investigations, it is recommended to conduct a comparative analysis of various selection strategies in order to objectively ascertain the spatial distribution of ecological supply sources.…”

Section: Limitations and Future Workmentioning

confidence: 99%

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Li,

Chang,

Wang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In the era of urbanization, the imperative to safeguard ecological security and navigate towards sustainable development is paramount. The emergence of remote sensing technologies has unveiled a nuanced approach to understanding and refining regional ecological networks, which are crucial for achieving these objectives. However, in constructing regional ecological networks, the spatial integration of ecological supply and demand frequently goes unaddressed. The balance of supply and demand for ecosystem services is a complex challenge. Additionally, there is an absence of comprehensive effectiveness assessment for regional ecological networks constructed based on element evaluation. To address these challenges, this study focuses on the highly urbanized Xuzhou Metropolitan Area(XMA) in eastern China, utilizing remote sensing data to develop an ecological network focused on balancing ecological supply and demand. The study adeptly applies complex network theory to model the ecological network, analyzing its structure and function to propose thorough and specific optimization strategies. The results indicate that the ecological network in the XMA encompasses 20 ecological supply sources, 21 demand sources, and various corridors and nodes, displaying a "dense in the center, sparse on the periphery" spider web-like distribution. Post-optimization, the network integrates further stepping stones and corridors, evolving into a denser and more intricate structure. The study emphasizes the significance of constructing regional ecological networks based on ecological supply and demand, aiding the balance of ecosystem services in urbanized areas. It highlights the transformative potential of complex network models in ecological network optimization, facilitating effective ecosystem management and spatial planning.

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Section: Limitations and Future Workmentioning

confidence: 99%

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Li,

Chang,

Wang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Landscape connectivity is a critical indicator in landscape ecology and an evaluation indicator for the health and connectivity of coastal wetland ecosystems (Gu et al, 2017). The probability index of connectivity (PC) is one of the most widely used indicators to assess the connectivity between patches in the study area (Clergeau and Burel, 1997).…”

Section: Identification Of Ecological Sourcesmentioning

confidence: 99%

Study on the Characteristics of Ecological Network and Critical Areas of Ecological Restoration in Hebei-Tianjin Coastal Wetlands

Wang,

Gao,

Liu

et al. 2024

Wetlands

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Coastal wetlands are crucial ecosystems at the interface between land and sea. In the context of economic development and urbanization, these wetlands face challenges such as reduction in area and fragmentation. Ecological networks can connect fragmented habitats, creating corridors for material, information, and energy transmission. This is vital for maintaining biological and landscape diversity and ensuring the healthy development of ecosystems. However, there is currently no research on the ecological networks in the Hebei-Tianjin coastal wetlands. In this study, the morphological spatial pattern analysis (MSPA) method is employed to identify wetlands sources, while the minimum cumulative resistance (MCR) model is used to extract potential ecological corridors. By combining these with existing river corridors, the ecological network of coastal wetlands in Hebei and Tianjin is constructed, and regional network characteristics are analyzed. Critical areas of ecological protection and restoration are determined, including important ecological corridors, ecological pinch points, and ecological breakpoints. The results showed that: (1) The ecological network of Hebei-Tianjin coastal wetlands consisted of 38 ecological sources, 171 potential ecological corridors, and 399 river corridors, with a total area of 851.31 km 2 . (2) Key ecological protection and restoration areas were proposed, including 35 crucial potential wetlands ecological corridors, 343 ecological pinch points, and 99 ecological breakpoints. Targeted restoration of these critical areas could significantly improve the connectivity of wetlands ecological networks. (3) At present, priority should be given to protecting critical ecological corridors and existing river corridors with high similarity to potential ecological corridors. The findings of this study can provide a scientific basis for the network construction and protection of Hebei-Tianjin coastal wetlands.

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“…As the channels for circulation of material and energy in the ecosystem, ecological corridors play a key role in the ecosystem. Circuit theory uses the random walk of electrons to simulate the migration of species at the landscape scale, which can be used to identify possible movement paths [47,48]. Specifically, it regards individual species or gene flow as electrons, uses the concept of landscape resistance surface to replace electrical resistance, and regards the ecological sources as nodes to replace electrodes [49].…”

Section: Construction Of Ecological Network Based On Circuit Theorymentioning

confidence: 99%

Ecological Security Pattern Construction in Loess Plateau Areas—A Case Study of Shanxi Province, China

Fu,

Zhang,

Gao

et al. 2024

Land

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Strong soil erosion and increasing human activities have made Loess Plateau areas ecologically fragile regions. Constructing the ecological security pattern (ESP) is imperative to maintain their ecosystem functions and sustainable development. However, it is still challenging to establish the ESP in such an unstable and scattered ecological environment. In this study, we take Shanxi Province, which suffers severe ecological problems in Loess Plateau areas, as an example to construct the ESP in a pattern of “source-resistance-corridor”. The proposed methods include the following steps: (1) potential ecological sources are selected with important ecosystem functions based on contributions of soil and water conservation, habitat quality, and carbon storage; (2) ecological sources are determined by considering core areas at the landscape scale based on morphological spatial pattern analysis (MSPA) along with stability based on dynamic assessment on previous sources; (3) the comprehensive resistance surface is constructed by multiple resistance factors and remotely sensed nighttime light data; (4) ecological corridors are simulated and extracted based on circuit theory. As a result, the proposed ESP in our study area mainly includes 13,592 km2 of ecological sources, 8519.64 km of ecological corridors, and 277 ecological nodes. Meanwhile, an ecological framework of “two axes, three belts, and three zones” was proposed based on the optimization and reorganization of ecological components within the ESP. Our research lays a methodological and practical foundation for regional ESP construction and sustainable development in Loess Plateau areas.

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Construction and Optimization of the Ecological Security Pattern in Liyang, China

Cited by 11 publications

References 51 publications

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Study on the Characteristics of Ecological Network and Critical Areas of Ecological Restoration in Hebei-Tianjin Coastal Wetlands

Ecological Security Pattern Construction in Loess Plateau Areas—A Case Study of Shanxi Province, China

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