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Influence of Land Use Change on the Surface Albedo and Climate Change in the Qinling-Daba Mountains

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  • Fang Zhao

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China)

  • Xincan Lan

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Wuyang Li

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Wenbo Zhu

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China)

  • Tianqi Li

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China)

Abstract

Land use changes affect the surface radiative budget and energy balance by changing the surface albedo, which generates radiative forcing, impacting the regional and global climate. To estimate the effect of land use changes on the surface albedo and climate change in a mountainous area with complex terrain, we obtained MODIS data, identified the spatial–temporal characteristics of the surface albedo caused by land use changes, and then calculated the radiative forcing based on solar radiative data and the surface albedo in the Qinling-Daba mountains from 2000 to 2015. The correlation between the land use changes and the radiative forcing was analyzed to explore the climate effects caused by land use changes on a kilometer-grid scale in the Qinling-Daba mountains. Our results show that the primarily land use changes were a decrease in the cultivated land area and an increase in the construction land area, as well as other conversions between six land use types from 2000 to 2015. The land use changes led to significant changes in the surface albedo. Meanwhile, the radiative forcing caused by the land use had different magnitudes, strengths, and occurrence ranges, resulting in both warming and cooling climate change effects.

Suggested Citation

  • Fang Zhao & Xincan Lan & Wuyang Li & Wenbo Zhu & Tianqi Li, 2021. "Influence of Land Use Change on the Surface Albedo and Climate Change in the Qinling-Daba Mountains," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10153-:d:633008
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    References listed on IDEAS

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    1. Christopher Doughty & Christopher Field & Andrew McMillan, 2011. "Can crop albedo be increased through the modification of leaf trichomes, and could this cool regional climate?," Climatic Change, Springer, vol. 104(2), pages 379-387, January.
    2. Richard A. Betts, 2000. "Offset of the potential carbon sink from boreal forestation by decreases in surface albedo," Nature, Nature, vol. 408(6809), pages 187-190, November.
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    Cited by:

    1. Dalia Lizeth Santos Orozco & José Ariel Ruiz Corral & Raymundo Federico Villavicencio García & Víctor Manuel Rodríguez Moreno, 2023. "Deforestation and Its Effect on Surface Albedo and Weather Patterns," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    2. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Hua Xue & Xin Chen, 2022. "A Multi-Scenario Simulation and Optimization of Land Use with a Markov–FLUS Coupling Model: A Case Study in Xiong’an New Area, China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    3. Zhan Chen & Yihao Wang & Ruisi Chen & Xiuya Ni & Jixin Cao, 2022. "Effects of Forest Type on Nutrient Fluxes in Throughfall, Stemflow, and Litter Leachate within Acid-Polluted Locations in Southwest China," IJERPH, MDPI, vol. 19(5), pages 1-15, February.
    4. Wen Huo & Fan Yang & Xiefei Zhi & Ali Mamtimin & Qing He & Honglin Pan & Cong Wen & Yu Wang & Ye Wu & Xinghua Yang & Chenglong Zhou & Meiqi Song & Lu Meng & Minzhong Wang, 2022. "A Comparative Study on the Difference in Meteorological Monitoring between Constructed Green Land and Natural Sandy Land," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    5. Jiale Tang & Xincan Lan & Yuanyuan Lian & Fang Zhao & Tianqi Li, 2022. "Estimation of Urban–Rural Land Surface Temperature Difference at Different Elevations in the Qinling–Daba Mountains Using MODIS and the Random Forest Model," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    6. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Tianqi Li & Hua Xue & Xin Chen & Yanhui Yan & Ran Ma, 2022. "Construction and Optimization of an Ecological Network in Zhengzhou Metropolitan Area, China," IJERPH, MDPI, vol. 19(13), pages 1-20, June.

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