Spatio-Temporal Evolution, Prediction and Optimization of LUCC Based on CA-Markov and InVEST Models: A Case Study of Mentougou District, Beijing

Yang, Yi; Zhang, Chen; Zhu, Jian-Zhou; Zhang, Yugang; Sun, Hao; Kang, Hongzhang

doi:10.3390/ijerph19042432

Cited by 17 publications

(6 citation statements)

References 74 publications

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“…Land use/cover change (LUCC) refers to the phenomenon of changes over time in the utilization and coverage of the Earth's surface. On the one hand, LUCC is influenced by human activities; on the other hand, it directly impacts various aspects such as ecosystem health, carbon sequestration, climate change, and natural disaster prevention [1][2][3][4]. Simulating LUCC allows for a better understanding and prediction of the causes and consequences of these changes, thereby supporting sustainable development and environmental conservation.…”

Section: Introductionmentioning

confidence: 99%

VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy

Liu,

Luo,

Wang

et al. 2024

IJGI

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Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth’s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining the health of the Earth’s ecosystems. LUCC is a dynamic geographical process involving complex spatiotemporal dependencies. Existing LUCC simulation models suffer from insufficient spatiotemporal feature learning, and traditional cellular automaton (CA) models exhibit limitations in neighborhood effects. This study proposes a cellular automaton model based on spatiotemporal feature learning and hotspot area pre-allocation (VST-PCA). The model utilizes the video swin transformer to acquire transformation rules, enabling a more accurate capture of the spatiotemporal dependencies inherent in LUCC. Simultaneously, a pre-allocation strategy is introduced in the CA simulation to address the local constraints of neighborhood effects, thereby enhancing the simulation accuracy. Using the Chongqing metropolitan area as the study area, two traditional CA models and two deep learning-based CA models were constructed to validate the performance of the VST-PCA model. Results indicated that the proposed VST-PCA model achieved Kappa and FOM values of 0.8654 and 0.4534, respectively. Compared to other models, Kappa increased by 0.0322–0.1036, and FOM increased by 0.0513–0.1649. This study provides an accurate and effective method for LUCC simulation, offering valuable insights for future research and land management planning.

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Section: Introductionmentioning

confidence: 99%

VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy

Liu,

Luo,

Wang

et al. 2024

IJGI

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“…Studies on economic–social development have mainly used mathematical statistics and models based on a sustainable development framework to conduct in-depth studies on the coordination of land use and economic–social development. The methods used include correlation analysis [ 15 , 16 , 17 ], analytic hierarchy process [ 18 , 19 ], grey correlation method [ 20 , 21 , 22 ], and coupling degree function method [ 23 , 24 ]. Most scholars on the research content subdivide land use and economic–social system into several index layers, such as land use degree [ 25 , 26 ], industrial structure [ 27 , 28 ], urbanization level [ 3 , 29 ], and economic power development [ 27 , 30 , 31 ] to conduct research.…”

Section: Introductionmentioning

confidence: 99%

Coupling Evaluation and Spatial–Temporal Evolution of Land Ecosystem Services and Economic–Social Development in a City Group: The Case Study of the Chengdu–Chongqing City Group

Zhong

2023

IJERPH

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The Chengdu–Chongqing city group (CCCG) is one of the regions with acute human–land conflicts in China at present. The current rapid development of CCCG has caused a large negative impact on regional land ecosystem services. Land ecosystem is the basis of economic development. Reasonable economic development is also the inherent requirement of land ecosystem and an important support for land ecosystem protection. Promoting the coordinated development of the economy and land ecosystems is a prerequisite for this city group to achieve ecological protection and high-quality development. Taking CCCG as an example, this paper constructs a coupling evaluation model of economic–social development and land ecosystem service by using the entropy weight method, coupling coordination degree model, gravity center model, and standard deviation ellipse model, and explores the coupling coordination degree and spatial–temporal evolution rule of the above two systems. The study found that, from 2005 to 2020, the overall economic–social development of the CCCG showed an upward trend with a regular pattern of a ‘High in the east and west, low in the central’, and the ‘dual-core’ spatial structure with Chengdu and Chongqing as the core ; the overall performance of land ecosystem services had a gentle slope downward trend with a ‘U’-shaped spatial pattern of “high around and low in the middle”. The results also show that the coupling coordination degree of economic–social development and land ecosystem services in CCCG continues to rise steadily. Overall, the level of coupling coordination is low, and the type of coupling coordination has gradually evolved from severe and moderate imbalance to moderate coordination and mild imbalance. Therefore, the CCCG should make full use of the advantages of the “dual-core” cities to improve the level of peripheral economic linkage, increase investment in science and technology to enhance the endogenous power of economic development, establish cooperation mechanisms to narrow the urban gap, and integrate ecological resources to promote ecological industrialization to better realize the synergistic promotion of land ecological protection and high-quality economic development.

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“…With the development of geographic information technology, the integration technology based on RS and GIS makes the research more quantitative and visual [ 16 ]. Ecological models include the Mexent model, habitat suitability index (HIS) mode, and land integrated valuation of ecosystem services and tradeoffs (InVEST) [ 17 , 18 , 19 , 20 ]. Among them, the InVEST model, developed by the Natural Capital Project of the United States, has the characteristics of simple operation and easy access, and has been extensively applied to spatial planning, ecological compensation, risk management, and other environmental management decisions in more than 20 countries and regions [ 21 , 22 , 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section

Meng

Cai

Hui

et al. 2023

IJERPH

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As a key area in the Yellow River basin for sand control and management, the land change process in the Hobq Desert plays a crucial role in keeping the river and desert ecosystems and promoting the construction of ecological civilization in human systems. Based on multi-temporal remote sensing from 1991 to 2019 in the Hobq Desert along the Yellow River section, this study selected spatial statistical methods (land-use monitoring and landscape metrics) to examine land-use change dynamics. Then, we evaluated habitat quality using the InVEST model and quantitatively analyzed the factors causing spatial changes in habitat quality using geographic detectors. Finally, this paper predicted the pattern of land use and habitat quality in 2030 using the PLUS model. The results reveal that (1) from 1991 to 2019, the total area of forest grassland increased by 3572.5 km2, providing the most vegetation cover, and the sandy land and water area decreased continuously, while the cultivated land and construction land increased. There were 38.01% conversions of land types, with the land-use dynamic decreasing the greatest in sandy land (−12.66%) and increasing the greatest in construction land (9.26%); the comprehensive land-use dynamics were the highest in 2010–2019 (1.68%), which was the most active stage during our study period. (2) Both of the landscape indices NP and PD showed “N” type fluctuations during 1991–2019, and CONTAG and LSI rose from 69.19% to 70.29% and 36.01% to 38.89%, respectively, indicating that the land-use degree of landscape fragmentation increased, landscape connectivity turned better, and landscape dominance was enhanced, balanced, and developed evenly in overall landscape type. (3) From the overall region analysis, the average habitat quality in 1991, 2000, 2010, and 2019 was 0.3565, 0.5108, 0.5879, and 0.6482, respectively, with the overall habitat value showing a gradually increasing trend. Spatially, the habitat quality along the Yellow River section of the Hobq Desert has a certain regularity, and the overall pattern there is high in the south and low in the north, high in the east and west, and low in the middle. (4) The change in land use between 2019 and 2030 is similar to the previous period, but the change rate is generally lower. The habitat quality improved significantly, with the growth of high and medium habitat quality.

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Spatio-Temporal Evolution, Prediction and Optimization of LUCC Based on CA-Markov and InVEST Models: A Case Study of Mentougou District, Beijing

Cited by 17 publications

References 74 publications

VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy

VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy

Coupling Evaluation and Spatial–Temporal Evolution of Land Ecosystem Services and Economic–Social Development in a City Group: The Case Study of the Chengdu–Chongqing City Group

Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section

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