Spatiotemporal Differentiation of Land Ecological Security and Its Influencing Factors: A Case Study in Jinan, Shandong Province, China

Liu, Jinhua; Cao, Xiangyang; Zhao, Lesong; Dong, Guanglong; Jia, Kun

doi:10.3389/fenvs.2022.824254

Cited by 16 publications

(18 citation statements)

References 49 publications

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“…Over time, the variables affecting LES have altered. The oasis LES is progressively becoming dominated by human activity (Liu et al, 2022). The policy reform of the economic structure and the , 2011;Zhang et al, 2015), and the main influencing factors of LES have also changed.…”

Section: Analysis Of Influencing Factors Of Lesmentioning

confidence: 99%

Analysis of oasis land ecological security and influencing factors in arid areas

Wang

Chang

et al. 2023

Land Degrad Dev

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Arid oasis areas are typical ecologically fragile areas, and Land ecological security (LES) reflects the relationship between oasis land use and socio‐economics. At present, the evaluation of oasis LES is still in the exploration stage, and there is a lack of dynamic evaluation of LES from a spatial and temporal perspective, and the interaction between influencing factors is not considered, which often affects the reliability of LES evaluation results and the optimization of land scenarios. This study analyzes the dynamic changes in land use in the Tarim River Basin (TRB) oasis from 1990 to 2020 and constructs a pressure‐state‐response (PSR) model to assess the spatial and temporal patterns of the LES. Then, the spatial correlation and spatial divergence of the LES were explored using the Moran index. Finally, the geographical detector analysis was used to reveal the drivers of the spatiotemporal divergence of LES patterns in the TRB oasis and the interaction effects of the influencing factors. The results reveal that there is significant spatial and temporal variability in the LES level of TRB oases, with the eastern region continuing to deteriorate while the western region continues to improve. Between 1990 and 2020, the largest increase in TRB oases was 24,089.52 km2 of cultivated land and the largest decrease was 47,117.03 km2 of grassland. Also, there are interactions between the variables. The greatest associations between the three variables‐the forest coverage raste, the proportion of the tertiary industry, and rural per capita net income‐all reached over 0.88. This study evaluates the LES and analyzes the affecting factors, which contribute to the development of refined land optimization countermeasures and offers a foundation for the realization of sustainable land use in oases and the establishment of oasis ecological civilization.

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Section: Analysis Of Influencing Factors Of Lesmentioning

confidence: 99%

Analysis of oasis land ecological security and influencing factors in arid areas

Wang

Chang

et al. 2023

Land Degrad Dev

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“…Positive indicators indicate that the greater the indicator, the higher the land pressure, negative indicators indicate that the greater the indicator, the lower the land pressure Jiang et al, 2021;Liu et al, 2022;Sun et al, 2022). Table S1 provides comprehensive explanations of the data sources used for the various study objectives.…”

Section: Datamentioning

confidence: 99%

“…Almost every city in the world, regardless of its size, is affected by land pressure, which is a result of the development of human society itself. Land use in different regions naturally presents different states and produces different effects, and changes with the change in land pressure as a result of the natural endowment of land resources in different regions and the pressure on economic development (Chen et al, 2021;Liu et al, 2022), food production (Jiang et al, 2018;Gao et al, 2022;, and ecological protection (Hao and Li, 2014;Chen et al, 2021;Liu et al, 2022;Zhao et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Land pressure evaluation in the Yangtze River Delta region: A perspective from production-living-ecology

Chen

Zhang

et al. 2023

Preprint

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The limited land is under unprecedented pressure from production, living and ecology. In order to evaluate the land pressure in the Yangtze River Delta region in 1995, 2000, 2005, 2010, 2015, and 2020 from the perspective of production, living, and ecology. This study builds a land pressure evaluation index system based on a fuzzy comprehensive evaluation model using multi-source and multi-scale data. In order to investigate trade-offs and synergies among production, living, and ecology pressures, we use the mechanical equilibrium model in physics. We then analyze land pressure model reliability and uncertainty using Monte Carlo simulations. The results show that (1) Our model can effectively reveal the level of land pressure and reflect the land pressure geographical pattern of “high in the east and low in the west, high in the south and low in the north” that characterizes the Yangtze River Delta region. (2) While living and ecology pressures are tending to rise, production pressures are tending to decrease. (3) Except for Shanghai, the trade-off areas are primarily concentrated in economically successful regions with high production and living pressure and low ecology pressure. The coordinated areas are primarily found in northern Jiangsu Province and northern Anhui Province.

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“…Given a set of those, we interviewed the experts, managers, operators, and workers on site and screened the key indicators in order to enhance the implementation and application of the indicators system in practice. The detailed calculation process is omitted here because the method is popular and mature and is applied in a lot of literature (Saaty, 1990;Zhou et al, 2006;Liu et al, 2022). Then, the set of the key indicators is constituted based on the data availability and the applicability of the indicator system.…”

Section: The Screening Of Indicatorsmentioning

confidence: 99%

The PSR-FA-NAR model for assessing and forecasting environmental impacts: An empirical analysis of Changning–Weiyuan shale gas play in China

Sun

Yu²,

Wang³

et al. 2022

Front. Environ. Sci.

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The largest ever investment in shale gas resources has induced potential environmental threats in China. The assessment and forecasting of environmental impacts associated with shale gas production is highly challenging due to the characteristics of high uncertainty, nonlinearity, and complexity. This paper proposes a new hybrid model by combining the pressure-state-response (PSR) framework with the firefly algorithm (FA) and a nonlinear auto-regressive (NAR) dynamic neural network (the PSR-FA-NAR model) to detect and forecast the state of the environment as well as send warning signals for shale gas production. Then, an empirical sample, the Changning-Weiyuan national-level shale gas pilot zone that produces more than 50% of Chinese shale gas output, is used to test the effectiveness of the proposed model. The results show that Changning play will predictably face severe environmental threats imposed by rapid development, and the model is not only able to capture nonlinearity time-series and present cause-effect relationships but is also able to improve the predictive performance and forecasting accuracy. It proves that the PSR-FA-NAR model can effectively address the problems with high dimensionality, complexity, and nonlinearity and provides a practical methodology to quantify and identify the potential environmental impacts of unconventional oil and gas production.

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Spatiotemporal Differentiation of Land Ecological Security and Its Influencing Factors: A Case Study in Jinan, Shandong Province, China

Cited by 16 publications

References 49 publications

Analysis of oasis land ecological security and influencing factors in arid areas

Analysis of oasis land ecological security and influencing factors in arid areas

Land pressure evaluation in the Yangtze River Delta region: A perspective from production-living-ecology

The PSR-FA-NAR model for assessing and forecasting environmental impacts: An empirical analysis of Changning–Weiyuan shale gas play in China

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