Integrating Potential Land Use Conflict Into Ecological Security Pattern in Response to Land Use/Cover Changes at a County Scale in Yangtze River Delta, China

Peng, Wanting; Zhang, Zhiduo; He, Geng; Liu, Xiuyu; Wang, Wei; Cai, Yongli; López‐Carr, David

doi:10.3389/feart.2022.875433

Cited by 6 publications

(7 citation statements)

References 74 publications

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“…Subsequently, the spatial simulation results showed that the construction land was expanded on a large scale in the built‐up areas, while in other areas it was a decentralized dot‐like expansion, and that there was a significant spatial autocorrelation in the transformation of various types of land use, indicating that the change was not random. Large‐scale (Zhang, Wang, et al, 2020; Zhang, Zhou, & Song, 2020) and small‐scale (Peng et al, 2022) studies in other parts of China have confirmed this change in land use over time.…”

Section: Discussionmentioning

confidence: 89%

“…In addition, in Figure 2, we mention that the spatial simulation of land‐use change is carried out under the constraints of the restriction map. Specifically, considering that the Qianshan assume important ecosystem functions in the regional context, land‐use changes are regulated by natural and policy factors, so we combined the ecological redline policy (Jiang et al, 2019; Peng et al, 2022) with the permanent basic farmland policy (Zhang & Wu, 2022) to form the restriction map applied in the PLUS model.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, in Figure 2, we mention that the spatial simulation of land-use change is carried out under the constraints of the restriction map. Specifically, considering that the Qianshan assume important ecosystem functions in the regional context, land-use changes are regulated by natural and policy factors, so we combined the ecological redline policy (Jiang et al, 2019;Peng et al, 2022) with the permanent basic farmland policy (Zhang & Wu, 2022) When the neighborhood effect of a certain type of land is equal to 0, the "seed" for change is generated on the probability surface of development of each land-use type (the output of LEAS). Influenced by the driving factors and conversion rules, the "seed" can generate new land-use types and grow into new patches formed by a group of cells of the same land-use type, to achieve the purpose of simulating land-use changes (Liang et al, 2021).…”

Section: Plus Modelmentioning

confidence: 99%

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Research on land‐use evolution and ecosystem services value response in mountainous counties based on the SD‐PLUS model

Jiu-lin

Chu

2022

Ecology and Evolution

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Rapid urbanization has caused changes in climate and environment and threatened the ecosystem with multiple risks. The ecosystem services capacity has shown a downward trend accordingly. It is significant to explore the spatio‐temporal evolution of land use and ecosystem services value (ESV) in mountainous counties at small scales, as it coordinates economic growth and ecological protection, and promotes sustainable and high‐quality development. Based on the SD‐PLUS model, the study simulated three scenarios of land‐use change in Qianshan city from 2019 to 2035: high‐growth rate, medium‐growth rate, and low‐growth rate, and studied the impacts of land‐use change on the ESV. Results showed that: (1) Under the three scenarios, the construction land in the study area increased significantly, the forest and water have a decreasing trend, and the scale of gardens partly increased. (2) In the urban built‐up areas, a significant amount of construction land is centrally expanded, whereas, in mountainous regions, construction land exhibits sporadic point expansion. And among the various factors that influence land‐use change, the impact of roads at all levels is the most significant, followed by elevation. (3) The overall ESV shows a downward trend, with the low‐growth rate scenario dropping the least (4.91%). The value distribution changes little at the space scale, and different regions demonstrate different degrees of change. From the perspective of value type, the service values of water conservation and waste treatment are significantly reduced, while that of food production is relatively stable; from the perspective of various lands with their ESV, cultivated land and forest remain stable. The study results can provide technical ideas for the coordinated economic development and ecological protection of mountainous cities and boost the implementation of green development.

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Section: Discussionmentioning

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Plus Modelmentioning

confidence: 99%

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Research on land‐use evolution and ecosystem services value response in mountainous counties based on the SD‐PLUS model

Jiu-lin

Chu

2022

Ecology and Evolution

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“…Ordos City is seriously threatened by desertification. Meanwhile, the growth of built-up land will have a detrimental effect on the natural environment Peng et al, 2022), and expanding croplands, which are semi-artificial environments, will also pose a threat to the ecosystem (Yang, 2021). Based on this, we set cropland, built-up land, and sandy land as threat sources.…”

Section: Quantification Of Essmentioning

confidence: 99%

Relationships Between Key Dryland Ecosystem Services: A Case Study in Ordos, China

Zhao

Ding

et al. 2022

Front. Earth Sci.

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Dryland ecosystem services (ESs) have been severely harmed by global environmental changes and increased human activities. To improve ESs, it is necessary to understand how they interact in drylands. In this study, we selected Ordos dryland, which is situated in northern China, as the study area to assess its four key ESs—food supply (FS), carbon storage (CS), water yield (WY), and habitat quality (HQ)—and to identify the hotspots of multiple ES supply. Furthermore, we studied the constraint effects between ESs in Ordos in 2000, 2010, and 2020 and used a spatial trade-off model to map the trade-off and synergy areas of ESs from 2000 to 2010 and from 2010 to 2020. The results indicated that all four ESs in Ordos increased significantly over the study period. The hotspots for the supply of multiple ESs also increased in areal extent during this period, and the state of the regional ecological environment continued to improve. The constraint effect between ESs showed that as the CS increased, its constraint effect on WY and FS decreased and then increased, whereas its constraint effect on HQ only decreased; as the WY increased, its constraint effect on HQ decreased and then increased, and its constraint effect on FS continued to decrease; as the FS increased, its constraint effect on HQ continued to increase. From the change in the area of ESs trade-offs and synergies, there was an increase in the area of positive synergy for four pairs of ESs in Ordos, which were CS-WY, CS-HQ, WY-HQ, and FS-HQ. These findings help in establishing a scientific foundation for the management and optimization of ESs in drylands.

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“…The ecosystem is an essential basis for human survival and development, which is also a support system of human life. It is the primary part of the regional ecological pattern, which connects isolated landscape patches by ecological corridors (Jiao et al, 2021;Peng et al, 2022). This system combines with point, line, and surface to improve the self-discipline of the landscape and maintain regional ecological surrounding stability (Fan and Myint, 2014;Liang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity and optimization of ecological security pattern on a mountain town: A case of Tianzhu County in the Hexi Corridor, China

Chen

Chen²,

Yang³

et al. 2023

Front. Environ. Sci.

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As a primary concern in the ecosystem, understanding the impact of spatial heterogeneity of ecological networks on the development of environmental sustainability has overarching significance. The Tibetan Plateau’s edge is a vital contribution to the study of the plateau’s ecological network. However, there are few studies and explorations on the county-level ecological network in the arid region. This study aimed to evaluate ecological network spatial patterns in Tianzhu County and establish an ecological security evaluation index system. We used the minimum cumulative resistance (MCR) model and built an ecological resistance surface model from the exploratory spatial data analysis (ESDA) method. Then, by identifying ecological corridors and ecological nodes from the gravity model, we analyzed the ecological security pattern and proposed specific plans for optimizing the situation. The results showed that 1) county ecological security overall has been lower, and its values showed spatial heterogeneity in each direction, and 2) the Z-Score of the ecological security evaluation index was 70.1893, which shows ecological vulnerability in the arid region has significant spatial autocorrelation. The study identified 156 ecological corridors and 112 ecological nodes, which formed an ecological spatial pattern of “one belt and three zones.” Our analytical framework offers a valuable tool for constructing ecological security patterns in Tianzhu County and selecting “sources” at the regional scale, which can be applied to landscapes and geographical contexts for sustainable development in arid regions.

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Integrating Potential Land Use Conflict Into Ecological Security Pattern in Response to Land Use/Cover Changes at a County Scale in Yangtze River Delta, China

Cited by 6 publications

References 74 publications

Research on land‐use evolution and ecosystem services value response in mountainous counties based on the SD‐PLUS model

Research on land‐use evolution and ecosystem services value response in mountainous counties based on the SD‐PLUS model

Relationships Between Key Dryland Ecosystem Services: A Case Study in Ordos, China

Heterogeneity and optimization of ecological security pattern on a mountain town: A case of Tianzhu County in the Hexi Corridor, China

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