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Land use/land cover changes and regional climate over the Loess Plateau during 2001–2009. Part II: interrelationship from observations

Author

Listed:
  • Xingang Fan
  • Zhuguo Ma
  • Qing Yang
  • Yunhuan Han
  • Rezaul Mahmood

Abstract

Afforestation efforts in China resulted in significant changes in vegetation coverage over the Loess Plateau during 2001–2009. While regional climate conditions dominate the distribution of major vegetation types, human activities, primarily afforestation/reforestation and the resultant land use/land cover (LULC) changes (LULCC) and their impacts, are the focus of this study. A new attribution method was developed and applied to observed data for investigating the interrelationships between climate variation and LULCC. Regional climate (temperature and precipitation) changes are attributed to climate variation and LULCC; LULCC is attributed to climate variation and human activities. Climate attribution analysis indicated a larger contribution ratio (based on comparison of standard deviations of each contributing factor-induced climate changes and that of total change) from climate variation than from LULCC (0.95 from climate variation vs. 0.35 from LULCC) for variations in temperature. Impacts on precipitation indicated more spatial variations than those on temperature. The spatial variation of LULCC impacts on precipitation implied that human activities might have larger impacts on precipitation in the region’s arid north than in its humid south. Using both leaf area index (LAI) and areal coverage of each of the major land types, LULCC attribution analysis suggested that LULCC observed in the 2000s resulted primarily from human activities rather than climate variations (0.99 contribution ratio from human activities vs. 0.26 from climate variation). Copyright The Author(s) 2015

Suggested Citation

  • Xingang Fan & Zhuguo Ma & Qing Yang & Yunhuan Han & Rezaul Mahmood, 2015. "Land use/land cover changes and regional climate over the Loess Plateau during 2001–2009. Part II: interrelationship from observations," Climatic Change, Springer, vol. 129(3), pages 441-455, April.
    • Handle: RePEc:spr:climat:v:129:y:2015:i:3:p:441-455
    DOI: 10.1007/s10584-014-1068-5
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    Cited by:

    1. Qinghui Wang & Yu Peng & Min Fan & Zheng Zhang & Qingtong Cui, 2018. "Landscape Patterns Affect Precipitation Differing across Sub-climatic Regions," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    2. Yanhua Zhao & De Su & Yang Bao & Wei Yang & Yibo Sun, 2022. "A CLUMondo Model-Based Multi-Scenario Land-Use Change Simulation in the Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    3. Lei Tian & Jiming Jin & Pute Wu & Guo-yue Niu, 2018. "Assessment of the Effects of Climate Change on Evapotranspiration with an Improved Elasticity Method in a Nonhumid Area," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    4. Ngo Thanh Son & Hoang Huong & Nguyen Duc Loc & Tran Trong Phuong, 2022. "Application of SWAT model to assess land use change and climate variability impacts on hydrology of Nam Rom Catchment in Northwestern Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3091-3109, March.

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