Driving forces behind the spatiotemporal heterogeneity of land-use and land-cover change: A case study of the Weihe River Basin, China

Wu, Jingyan; Luo, Jungang; Zhang, Han; Yu, Mengjie

doi:10.1007/s40333-023-0052-1

Cited by 8 publications

(3 citation statements)

References 36 publications

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“…From 2010 to 2019, the proportion of tertiary industrial output to GDP in the Beijing-Tianjin-Hebei region continued to decline, and the industrial structure was unreasonable, which had an important impact on land ecological security [46]. In addition, the ecological benefits released by different land use are also important factors affecting land ecological security [47]. The green land rate and forest coverage rate of built-up areas in the Beijing-Tianjin-Hebei region are insufficient, meaning that there is not enough ecological benefits to make up for the negative pressure brought by the economic development process, resulting in an overall low level of land ecological security in the Beijing-Tianjin-Hebei region.…”

Section: Discussionmentioning

confidence: 99%

Study on Urban Land Ecological Security Pattern and Obstacle Factors in the Beijing–Tianjin–Hebei Region

Peng¹,

Sun²,

Liu³

et al. 2022

Sustainability

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Land ecological security is the material basis of the sustainable development of human society. The coordinated development of the Beijing–Tianjin–Hebei region is a major national strategy of China. Land ecological security is of great significance to the coordinated development of the Beijing–Tianjin–Hebei region and the maintenance of China’s ecological security. In this paper, the pressure–state–response (PSR) model is used to construct an evaluation index system of land ecological security, an entropy-weight technique for order preference by similarity to ideal solution (TOPSIS) method is used to calculate the land ecological security index in the Beijing–Tianjin–Hebei region, and an obstacle degree model is used to reveal the obstacle factors. The results show that the overall level of land ecological security in the Beijing–Tianjin–Hebei region was low, and that the security level presented a pattern of “high in the north and low in the south”. The land ecological security level was mainly affected by the state subsystem and response subsystem, and the average index of the pressure subsystem was 0.543, which reached the safe state. The main obstacle factors are per capita grassland area, per capita forest area, green land rate of built-up area, urbanization rate, per capita cultivated land, etc. This study provides a theoretical basis for the construction of the land ecological security system, sustainable utilization of land resources and regional sustainable development in the Beijing–Tianjin–Hebei region and promotes the formation of a benign circulation pattern of land ecosystem and effective prevention and control of land ecological and environmental risks in the region.

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Section: Discussionmentioning

confidence: 99%

Study on Urban Land Ecological Security Pattern and Obstacle Factors in the Beijing–Tianjin–Hebei Region

Peng¹,

Sun²,

Liu³

et al. 2022

Sustainability

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“…Currently, scholars both domestically and internationally have conducted extensive research on LUCC. Those studies focused on the construction of a global-scale land use database (De Rosa et al, 2017;Brown et al, 2022), the analysis of land use hotspots at large scales (Kuemmerle et al, 2016), the administrative district and watershed scale LUCC process (Luo et al, 2022;Wu et al, 2023), the environmental effects of land-use change and ecosystem service value of land use (Wang et al, 2023;Zhao et al, 2023), and simulation of land use pattern (Wu et al, 2018). Under the background of climate change, the driving mechanism of LUCC has gradually become a research focus (Li et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Dynamic variation and driving mechanisms of land use change from 1980 to 2020 in the lower reaches of the Yangtze River, China

Shang,

Cui,

Wang

et al. 2024

Front. Environ. Sci.

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To systematically explore land use/cover change (LUCC) trends and driving mechanisms at the large watershed scale under the background of climate change and rapid urbanization. Taking the lower reaches of the Yangtze River (LRYR) as the research object, based on the land use remote sensing monitoring data from 1980 to 2020, the spatial and temporal evolution characteristics of LUCC in LRYR were analyzed by adopting the methods of land use dynamics degree (LUDD) and hotspot analysis and used geospatial detectors to quantitatively assess the intensity of the role of the land use change drivers in the LRYR. The results show that: 1) The land-use types in LRYR were dominated by arable land and woodland, accounting for more than 70% of the total area. During the study period, the construction land area increased by 11,835 km2, and became the third largest land-use type in LRYR after 2010 and formed a typical urban contiguous zone along the route from Nanjing to Shanghai. 2) The land use degree comprehensive index (LUDCI) in LRYR at each stage is 270.91, 270.88, 272.22, 272.72, 274.00, 275.57, 276.93 and 280.37, respectively. LUCC in LRYR has become more dramatic, and there is significant spatial heterogeneity. Shanghai has always been a hot area of LUCC and Huangshan and Chizhou are cold spots of LUCC. 3) The driving mechanism of LUCC in LRYR can be divided into three stages. In these three stages, secondary industry output value, precipitation, and elevation are always important factors affecting LUCC. The interaction between driving factors is significant. The strongest interaction is the output value of the secondary industry ∩ precipitation, the interaction reaches above 0.6. The research results are of great significance for promoting the sustainable development of land use in this region.

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“…For example, by considering different environmental characteristics, the land use expansion and land use change in coastal areas can be studied [6], and LUCC studies focus on impervious surfaces and barren hills and wastelands [7]. In addition, driving factors can be interpreted after the spatiotemporal evolution trend of regional LUCC has been obtained [8]; for example, moving t-tests and random forest models were used to identify the long-term sequence of China's industrial land transformation and find its dominant external driving factors [9].…”

Section: Introductionmentioning

confidence: 99%

Multi-Scenario Simulation and Eco-Environmental Effects Analysis of Land Use/Cover Change in China by an Integrated Cellular Automata and Markov Model

Wang,

Xue,

Yang

et al. 2024

Land

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Land use transitions play a critical role in ecological environmental restoration, but they are also plagued by ecological environmental problems caused by excessive land resource development. In this study, we propose a methodological framework for unveiling the nexus profile of land use/cover change (LUCC) and eco-environmental effects. This study explored the spatiotemporal evolution patterns of LUCC over a long time series based on high-precision land use data from 1990 to 2020. Then, the ecological values (EVs) of various cities were calculated to obtain the ecological contribution rate of different land use types in the process of change. Finally, the future development trends of land use and ecological environmental quality were predicted under multiple scenarios using the cellular automata–Markov model, and scientific policy recommendations were proposed. The results showed that the expansion trajectory of the construction land in the urban agglomeration mainly expanded inwards along the mouth of the Pearl River, and the conversion of cultivated land to construction land was the most significant type of land use change. The overall ecological environmental quality of the study area showed a downwards trend, with Shenzhen exhibiting the largest decrease in EVs. Cultivated land contributed significantly to improving regional ecological environmental quality, while the land use transition types with relatively large contributions to environmental quality deterioration were conversions to construction land. Under the scenario of coordinated protection, the degree of cultivated land area reduction was significantly reduced, and the area of forestland showed a positive growth trend, with the expansion trend of construction land being reversed. These research findings can enrich the theoretical research on the sustainable development of urban agglomerations and provide reliable data support for policy-making.

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Driving forces behind the spatiotemporal heterogeneity of land-use and land-cover change: A case study of the Weihe River Basin, China

Cited by 8 publications

References 36 publications

Study on Urban Land Ecological Security Pattern and Obstacle Factors in the Beijing–Tianjin–Hebei Region

Study on Urban Land Ecological Security Pattern and Obstacle Factors in the Beijing–Tianjin–Hebei Region

Dynamic variation and driving mechanisms of land use change from 1980 to 2020 in the lower reaches of the Yangtze River, China

Multi-Scenario Simulation and Eco-Environmental Effects Analysis of Land Use/Cover Change in China by an Integrated Cellular Automata and Markov Model

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