Correlation between land use spatial and functional transition: a case study of Shaanxi Province, China

Zhang, Qianxi; Fei, Li

doi:10.1016/j.landusepol.2022.106194

Cited by 24 publications

(13 citation statements)

References 47 publications

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“…The task of ecological protection is heavier. Compared with the goal of beautiful scenery in ecological space, the quality of forests in the Yellow River Basin is relatively low, the stock volume per unit area and the value of ecological service functions are lower than the national average level, the structure of forest and grass is unreasonable, the water conservation capacity is not high, the pressure of water ecological protection is high, and the area of some wetlands has shrunk [ 78 , 79 ]. Governance tasks remain daunting.…”

Section: Discussionmentioning

confidence: 99%

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Zhu

Mei

et al. 2022

IJERPH

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The Yellow River Basin in Shaanxi (YRBS) has a relatively fragile ecological environment, with severe soil erosion and a high incidence of natural and geological disasters. In this study, a river basin landscape ecological risk assessment model was constructed using landscape ecology principles to investigate the temporal and spatial evolution, as well as the spatial autocorrelation characteristics of landscape ecological risks in the YRBS over a 20-year period. The main findings from the YRBS were that the land use types changed significantly over the span of 20 years, there was spatial heterogeneity of the landscape pattern, and the ecological risk value was positively correlated. The threat of landscape ecological risks in YRBS is easing, but the pressure on the ecological environment is considerable. This study provides theoretical support administrative policies for future ecological risk assessment and protection, restoration measures, and control in the Yellow River Basin of Shaanxi Province.

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Section: Discussionmentioning

confidence: 99%

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Zhu

Mei

et al. 2022

IJERPH

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“…As a grassroots administrative district, the land use decisions made in rural settings are intrinsically linked to the effectiveness of higher-level policy implementation [9]. Scientific inquiry into the inherent interconnection between rural carbon emissions and land use, coupled with the pursuit of synergistic strategies for judicious land resource management and the reduction in rural carbon emissions, is pivotal for advancing the fundamental attainment of carbon neutrality objectives [10]. This approach can serve as a critical juncture and an indispensable pathway, carrying significant theoretical and pragmatic implications.…”

Section: Introductionmentioning

confidence: 99%

Carbon Emissions and Intensity of Land Use: A Rural Setting Analysis in Ningde City, China

Lin,

Shao,

Guo

et al. 2024

Land

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Carbon emissions and land use intensity serve as crucial indicators of land management. This paper proposes a methodological framework to elucidate the sustainability of carbon emissions in rural areas via a coordination model, scrutinizes the correlation with land use intensity, and investigates the significance of influential factors. The study focuses on village-level units within Ningde City, and finds the pronounced spatial heterogeneity characterizing the distribution of carbon emissions across different villages: (1) Villages exhibiting high levels of carbon emissions are predominantly concentrated in the southeast region, whereas those with low carbon emission levels are primarily clustered in the northwest region. The majority of the villages serve as net carbon emission sources. (2) Spatial disparities exist in the impact of land use intensity on economic benefits from carbon sources, ecological benefits from carbon sinks, and carbon emission sustainability. (3) Significant variations exist in the influence of factors affecting land use intensity, economic benefits of carbon sources, ecological benefits of carbon sinks, and the sustainability of carbon emissions in rural areas. These findings could guide governments in implementing distinct land use control policies and provide a framework for assessing carbon emission sustainability within land management strategies.

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“…There are two main methods for identifying PLEFs: one is based on the quantitative analysis of the index systems and the other is based on the land use classification. The first method evaluates PLEFs by constructing an index system that could reflect the performance of each function, and it focuses on the output of PLEFs (Andersen et al, 2013;Wiggering and Steinhardt, 2015;Zhang et al, 2015;Tavora and Turetta, 2016;Zhang and Li, 2022). However, the lack of a systematic index system and the complex calculation process make this method inconvenient (Yin et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Measuring the coupling coordination of land use functions and influencing factors: a case study in Beijing

Wang

Zhang

2023

Front. Ecol. Evol.

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Land use patterns significantly impact urban development by exerting production-living-ecological functions (PLEFs). Scientifically measuring the relationships among PLEFs is essential to support regional high-quality and sustainable development. However, the current identification methods of PLEFs are biased, and researches on the spatial distribution of coordination and conflict and their influencing factors in metropolitan are insufficient. This study proposed an improved PLEFs identification method to analyze the PLEFs in Beijing from 2000 to 2020 at a grid scale. Then, the coupling coordination degree (CCD) of PLEFS was estimated by employing spatiotemporal data and spatial statistical models. Finally, the impacts of the socioeconomic and natural factors on the CCD were quantified by the geographically weighted regression model (GWR). The results showed that from 2000 to 2020, (1) the areas with high CCD gathered in the plain areas with high PF and LF, and the low CCD areas clustered in the mountainous areas with low PF and LF; (2) the EF presented a closer positive relationship with CCD in the plain areas, while the positive impact of PF and LF on CCD was more substantial than EF in the mountainous areas; and (3) the population and GDP factors had high positive effects on CCD in the north and west mountain areas, and the altitude and slope factors negatively affected CCD in most areas of Beijing, except for a few areas in the southeast. Therefore, formulating a regional differentiation strategy to achieve the sustainable development of PLEFs in Beijing was crucial.

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Correlation between land use spatial and functional transition: a case study of Shaanxi Province, China

Cited by 24 publications

References 47 publications

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Carbon Emissions and Intensity of Land Use: A Rural Setting Analysis in Ningde City, China

Measuring the coupling coordination of land use functions and influencing factors: a case study in Beijing

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