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Evolution and Prediction of Landscape Patterns in the Qinghai Lake Basin

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  • Yanli Han

    (College of Geographical Science, Qinghai Normal University, Xining 810008, China
    Key Laboratory of Qinghai Province Physical Geography and Environmental Process, MOK Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Xining 810008, China
    Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Deyong Yu

    (College of Geographical Science, Qinghai Normal University, Xining 810008, China
    Key Laboratory of Qinghai Province Physical Geography and Environmental Process, MOK Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Xining 810008, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Kelong Chen

    (College of Geographical Science, Qinghai Normal University, Xining 810008, China
    Key Laboratory of Qinghai Province Physical Geography and Environmental Process, MOK Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Xining 810008, China)

Abstract

The Qinghai Lake Basin (QLB), located in the northeastern part of the Qinghai–Tibet Plateau, has a fragile ecological environment and is sensitive to global climate change. With the progress of societal and economic development, the tourism industry in the QLB has also developed rapidly, which is bound to result in great changes in landscape patterns. In this study, we first analyzed the change characteristics of landscape patterns in the QLB from 1990 to 2018, and we then used the Markov model and the future land use simulation (FLUS) model, combined with natural, social, and ecological factors, to predict the changes in the number and spatial distribution of landscape patterns in the period between 2026 and 2034. The results of the study show that desert areas have been greatly reduced and transformed into grasslands. The grassland area expanded from 49.22% in 1990 to 59.45% in 2018, corresponding to an increase of 10.23%. The direct cause of this result is the combined effects of natural and man-made factors, with the latter playing a leading role. As such, government decision-making is crucial. Lastly, we simulated the landscape patterns in the period from 2018 to 2034. The results show that in the next 16 years, the proportion of various landscapes will change little, and the spatial distribution will be stable. This research provides a reference for the formulation of ecological environment management and protection policies in the QLB.

Suggested Citation

  • Yanli Han & Deyong Yu & Kelong Chen, 2021. "Evolution and Prediction of Landscape Patterns in the Qinghai Lake Basin," Land, MDPI, vol. 10(9), pages 1-16, September.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:921-:d:627080
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    References listed on IDEAS

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    1. Marta Bottero & Giulia Datola & Elena De Angelis, 2020. "A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience," Land, MDPI, vol. 9(8), pages 1-26, July.
    2. Shannon M. Sterling & Agnès Ducharne & Jan Polcher, 2013. "The impact of global land-cover change on the terrestrial water cycle," Nature Climate Change, Nature, vol. 3(4), pages 385-390, April.
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    Cited by:

    1. Zhiyuan Song & Ziyi Gao & Xianming Yang & Yuejing Ge, 2022. "Distinguishing the Impacts of Human Activities and Climate Change on the Livelihood Environment of Pastoralists in the Qinghai Lake Basin," Sustainability, MDPI, vol. 14(14), pages 1-19, July.

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