Contradiction or coordination? The spatiotemporal relationship between landscape ecological risks and urbanization from coupling perspectives in China

Shi, Yu; Feng, Chen‐Chieh; Yu, Qianru; Han, Rui; Guo, Luo

doi:10.1016/j.jclepro.2022.132557

Cited by 44 publications

(17 citation statements)

References 73 publications

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“…"Coupling coordination" is the process of coordinating and interacting among multiple systems or subsystems. The term "coupling" originated in physics 14 and has been extensively utilized in research within economics [15][16][17] , ecology [18][19][20] , tourism [21][22][23] , geography [24][25][26][27] , and various elds. Applications in HS have concentrated on the following aspects: (1) the coupling coordination within the internal system of HS 28,29 ; (2) the coupling coordination among different states of HS 7 ; (3) the coupling coordination between HS and the external system 30 .…”

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal characteristics and driving mechanisms of coupling coordination of pseudo human settlements in urban agglomeration in eastern China

Tian,

wu,

et al. 2024

Preprint

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The information technology revolution has changed people's original way of production and life, and the pseudo human settlements (PHS) constructed through digital and information have thoroughly permeated and influenced individuals' daily lives. However, the theoretical foundation and practical research on the interrelationships and interactions of the systems of the PHS are not yet mature, consequently, establishing a theoretical framework for the coupling coordination of PHS and empirically analyzing the spatiotemporal characteristics of coupling coordination in the urban agglomeration of eastern China and the driving mechanism, employing models such as coupling coordination. The results demonstrate that PHS within the urban agglomeration of eastern China displays a temporal upward trend resembling an "inverted L," a spatial trend of "high in the north and low in the south," and a positively correlated spatial cluster trend. The center of gravity of the coupling coordination degree tends to shift from the northeast to the southwest, suggesting a faster growth of the coupling coordination degree in the southwest direction compared to the northeast. The coupling coordination of PHS results from the combined influence of multiple factors and systems, and the optimization and enhancement of the PHS need to be based on the reality human settlements (RHS).

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Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal characteristics and driving mechanisms of coupling coordination of pseudo human settlements in urban agglomeration in eastern China

Tian,

wu,

et al. 2024

Preprint

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“…By referring to relevant literature, this paper constructs the landscape ecological risk index (ERI) of land use/cover through the landscape disturbance degree, vulnerability degree and fractal dimension. The calculation formula of the health degree of the ecological environment of the comprehensive land type based on the ecological risk value of LUCC is as follows (Shi Y et al, 2022):…”

Section: Land Use/ccove Quqlity Index(lqi)mentioning

confidence: 99%

Ecological risk analysis of future land use/cover: A case study of Xinjiang

Zhang

2023

Preprint

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Taking Xinjiang as the research area, this paper constructed an ecological risk model based on data of Land use/cover Quality Index (LQI), Climate Quality Index (CQI), and Soil Quality Index (SQI) to simulate the ecological risk of Xinjiang and predict it under different scenarios (Shared Socioeconomic Pathways SSPs) at 2100. There are five conclusions drawn: (1) In 2100, after reviewing different scenarios in Xinjiang, it can be seen that the LULCC risk level is dominated by the medium-quality risk level. The areas with medium-quality risk level account for about 70% of the total area of Xinjiang. The low-quality risk areas are mainly distributed in the Ili Valley in northern Xinjiang, the Keketuohai in the Altay region, and the northern Junggar Basin. Relatively high- and high-quality risk areas are mainly concentrated in residential areas on the northern and southern slopes of the Tianshan Mountains in Xinjiang. (2) In 2100, the high-quality climatic and ecological risk areas of different SSPs in Xinjiang are mainly distributed in mountains, Gobi, desert, and other regions. The medium-quality climatic and ecological risk areas are mainly distributed in the central and eastern regions of Xinjiang. (3) Under different scenarios in 2100, the spatial distribution of soil quality in Xinjiang is roughly the same, which is mainly low-quality. (4) Under different scenarios in 2100, the spatial distribution of ecological risk levels in Xinjiang is mainly dominated by areas with low and medium ecological risk levels, accounting for nearly 70% of the total area. (5) From 2020 to 2100, the ecological risk levels of different scenarios show a decreasing trend in sequence. Typically, from 2020 to SSP370 (2100), most areas change from being at a previous medium ecological risk level to being at a relatively high/high ecological risk level. Under the SSP585 scenario, a large area of areas has changed from the original low ecological risk level to the current high ecological risk level. Only a small area of areas is showing an opposite area change.

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“…Shi, Feng, et al. (2022) illuminated the coordination between landscape ecological risk and urbanization across 10 km × 10 km in China utilizing a coupling coordination degree. Zhou et al.…”

Section: Introductionmentioning

confidence: 99%

“…Land use and cover change (Cheng et al., 2022), population density (Cropper & Griffiths, 1994), and nighttime light (Cai et al., 2021) are usually used as proxy variables for human activities; also some scholars constructed a comprehensive index named human footprint (Li, Wu, Gong, et al., 2018; Venter et al., 2016). The methods used to analyze the complex relationship between human and nature include network approach (Kluger et al., 2020), system dynamics (Reed et al., 2022; Yoon et al., 2021), coupling coordination analysis (Jiang et al., 2022; Shi, Feng, et al., 2022), complex system theory (Bennett & McGinnis, 2008; Wang & Grant, 2021), environmental Kuznets curve model (Zhou et al., 2015), metacoupling framework (Liu, 2017), supply‐demand balance analysis (Liu, Xing, et al., 2022), questionnaires (Allison et al., 2021; Liu, Zhang, et al., 2020), and qualitative analysis (Ives et al., 2017). These methods advance the research of complex human‐natural systems from different perspectives, but face substantial constraints at fine grid scales.…”

Section: Introductionmentioning

confidence: 99%

“…Certain studies employing raster data: Vačkář et al (2012) analyzed spatial relationship between population density, land use intensity, and biodiversity in the Czech Republic using 10-km grids. Shi, Feng, et al (2022) illuminated the coordination between landscape ecological risk and urbanization across 10 km × 10 km in China utilizing a coupling coordination degree. Zhou et al (2023) measured the conflict and coordination dynamics between urbanization and vegetation cover for Chinese cities with a 250 m vegetation index.…”

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confidence: 99%

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Conflict or Coordination? The Spatiotemporal Relationship Between Humans and Nature on the Qinghai‐Tibet Plateau

Liu,

Cheng,

Liu

et al. 2023

Earth's Future

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As the Earth's Third Pole and the Asian water tower, the Qinghai‐Tibet Plateau (QTP) plays a key role in global climate regulation and biodiversity maintenance. Living in harmony with nature is vital for local and global sustainable development. Current research on the conflicted or coordinated relationship between humans and nature on the QTP at a fine spatial scale remains limited. To fill the gap, we developed the human activity intensity index (HAI) and eco‐environmental quality index (EQI) at 1‐km resolution and proposed a four‐quadrant diagram approach to explore the dynamics between them. The results show a coordinated development on the QTP as the HAI and EQI both increased from 2000 to 2020, and the ratio of coordinated areas to conflicted areas was 5:1. High HAI areas were mainly in big cities such as Xining, Lhasa, Haidong, Xigaze, and along traffic lines. The significant conflicted areas were mainly outside the Lhasa metropolitan, south of the Hengduan Mountains, and along some new roads, and reduced by 8% between 2000–2010 and 2010–2020. The area of high HAI but low EQI was the smallest proportion, mainly in southern Qinghai Lake, southern Brahlung Zangbo River, Gobi oases, and western transport lines, but it implies the highest risk of ecosystem degradation. This research expands the fundamental methodology to address complex human‐natural relationships and provides implications for the sustainable development of fragile ecosystems.

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Contradiction or coordination? The spatiotemporal relationship between landscape ecological risks and urbanization from coupling perspectives in China

Cited by 44 publications

References 73 publications

Spatiotemporal characteristics and driving mechanisms of coupling coordination of pseudo human settlements in urban agglomeration in eastern China

Spatiotemporal characteristics and driving mechanisms of coupling coordination of pseudo human settlements in urban agglomeration in eastern China

Ecological risk analysis of future land use/cover: A case study of Xinjiang

Conflict or Coordination? The Spatiotemporal Relationship Between Humans and Nature on the Qinghai‐Tibet Plateau

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