Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of the<scp>Qinghai‐Tibet</scp>Plateau, China

Li, Peijun; Zuo, Depeng; Xu, Zongxue; Han, Yuna; Sun, Wenchao; Pang, Bo; Ban, Chunguang; Kan, Guangyuan; Yang, Hong

doi:10.1002/ldr.4039

Cited by 29 publications

(14 citation statements)

References 57 publications

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“…Tang et al (2020) linked land use, landscape pattern and ecosystem service values and used Pearson correlation coefficients to explore the extent to which changes in land use and landscape pattern are associated with ecosystem services, finding that high intensity land use leads to degradation of ecosystem services. These studies have focused on ecologically important areas (Wang et al, 2009;Wan et al, 2015;Liu et al, 2018;Li et al, 2021a) and rapidly urbanizing areas (Deng et al, 2009;Hassan, 2017;Dadashpoor et al, 2019), but less on ecologically fragile urbanized areas such as mining areas and resource-based cities.…”

Section: Introductionmentioning

confidence: 99%

Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE

Zhang

2022

Front. Environ. Sci.

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Frequent mining activities can bring about problems such as soil erosion and environmental pollution, which are detrimental to the efficient use of land and the sustainable development of cities. Existing studies have paid little attention to mining areas and lack comparative analysis of landscape changes in multiple mining pits. In this paper, the main urban area of Anshan City, where the mining areas are concentrated, was used as the research area, and the Landsat TM/OLI surface reflectance (SR) data of the Google Earth Engine (GEE) platform and the random forest algorithm were used to map the land use in 2008, 2014, and 2020. On this basis, land use dynamics and landscape pattern indices were used to analyze the changes in land use and landscape patterns in the Anshan City area. In addition, a moving window method was combined to further analyze and compare the landscape changes between different pits. The results show that:1. From 2008 to 2020, the construction land in Anshan urban area continued to decline, the forest land continued to expand, and the construction land was shifted to the forest land and cultivated land. Mining land increased before 2014 and remained almost unchanged after 2014, which is in line with the actual situation. 2. During the study period, the landscape fragmentation degree and landscape heterogeneity in the urban area of Anshan kept increasing. The high value areas of landscape fragmentation were the urban-rural combination areas and the mining areas. Among them, the reclamation of Dagushan and Donganshan is better, while the reclamation of Anqian, Yanqianshan and Xiaolingzi mines needs to be strengthened. 3. The random forest algorithm based on GEE shows a high degree of accuracy for land use classification. The overall classification accuracy in 3 years exceeds 90% and the kappa coefficient exceeds 0.85. The study results can be used as an essential reference for optimizing the urban ecological environment and provide technical backing for the urbanization construction and rational use of land in Anshan City.

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Section: Introductionmentioning

confidence: 99%

Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE

Zhang

2022

Front. Environ. Sci.

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“…The dynamic degree of land use is based on the magnitude of land use change and represents the results of various types of area changes during the study period. It can directly reflect the change speed of different land use types and can be used to compare and analyze the change differences among various types [ 55 ]. In this paper, the dynamic degree model that reflects the absolute amount of land use change was used to monitor the speed change in each land use type in the study area, using the following equation:

where

represents the dynamic degree of a certain land use type during the research period;

represents the quantity of a certain land use type at the early stage of the research;

represents the quantity of a certain land use type at the end of the research period;

represents the length of the research time.…”

Section: Data Sources and Methodsmentioning

confidence: 99%

Land Use Dynamic Evolution and Driving Factors of Typical Open-Pit Coal Mines in Inner Mongolia

Zhang

Yang

et al. 2022

IJERPH

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Although coal is difficult to replace in the short term, the large-scale production and consumption of coal have significant impacts on the ecological environment. The severe disturbances, such as land excavation and occupation, that accompany the mining of mineral resources have caused dramatic changes in land cover and a significant pressure on the sensitive and fragile ecological environment. To analyze the temporal and spatial evolution trends and the differences in land use in different typical mining areas in Inner Mongolia, as well as the evaluation system and driving mechanisms of land use evolution, this study takes the typical open-pit coal mines in Inner Mongolia as the research objects and, based on the Google Earth Engine (GEE) platform, analyzes the dynamic evolution characteristics and driving factors of land use in typical open-pit coal mines in Inner Mongolia from 2001 to 2020. The change trend of land use in typical open-pit mining areas in Inner Mongolia for the past 20 years is obvious, with the highest fluctuations for grassland, mining land, cropland, and residential/industrial land. Land use in the open-pit coal mining area is greatly affected by mining factors. From the perspective of spatial variation, the most important driving factor is the distance from national roads and railways, followed by the annual average temperature and annual average precipitation and topographical conditions, such as elevation. In terms of policy, land reclamation and ecological restoration in mining areas have a positive impact on land use change. Improving the mechanism for environmental compensation in mining areas can promote the efficient and rational use of mining areas and the protection of ecosystems.

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“…The worsening of forest‐cover loss due to land degradation in these islands endangers biodiversity and heightens the vulnerability of these regions to further ecological disturbances. Furthermore, a study on the Yarlung Tsangpo River basin in China (Li, Zuo, et al, 2021) exemplifies the complex interplay between the impact of regional development and environmental governance policies on the changes in land use/cover and landscape. The study reveals shifts in land‐use types and their impacts on landscape patterns, including the drivers and consequences of land‐use changes in this region.…”

Section: Land Use/cover Changes Degradation and Environmental Implica...mentioning

confidence: 99%

Land use changes, degradation, and impact on ecosystem services in Asia and Southeast Asia

Vadrevu,

Gutman,

Tsuneo

et al. 2023

Land Degrad Dev

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Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of theQinghai‐TibetPlateau, China

Cited by 29 publications

References 57 publications

Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE

Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE

Land Use Dynamic Evolution and Driving Factors of Typical Open-Pit Coal Mines in Inner Mongolia

Land use changes, degradation, and impact on ecosystem services in Asia and Southeast Asia

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