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Land use/land cover changes and regional climate over the Loess Plateau during 2001–2009. Part I: observational evidence

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

Abstract

Adverse environmental impacts from deforestation are a growing area of concern in climate change discussions. The Chinese government has implemented a series of policies, such as the Grain for Green Project, in an attempt to mitigate the impacts. This study takes a regional perspective to report land use/land cover changes over the Loess Plateau region from 2001 to 2009. MODIS data were used in analyzing both the conversions among and the resulting changes in different land types. Government statistical census data and observed climate data were also incorporated in the analysis. A general consistency is shown in both remotely sensed and census data. With the implementation of various projects, including the Grain for Green Project, the total areas covered by grassland, cropland, and forests have increased by 19.2 % (6.05 × 10 4 km 2 ), 33.7 % (5.80 × 10 4 km 2 ), and 19.6 % (3.08 × 10 4 km 2 ), respectively, during the 9-year period. While climatic conditions, particularly annual precipitation totals, usually dominate the distribution of vegetation, it is found that socioeconomic polices and human activities contribute to the increase in overall greenness and to vegetation growth (e.g., LAI increased by 16.8 % (0.10) overall). However, the feedback of land use/land cover to regional climate is complicated and cannot be easily distinguished from natural climate variations based on short-term observational data alone. To better isolate the effects, further analysis and modeling studies are suggested. Copyright The Author(s) 2015

Suggested Citation

  • Xingang Fan & Zhuguo Ma & Qing Yang & Yunhuan Han & Rezaul Mahmood & Ziyan Zheng, 2015. "Land use/land cover changes and regional climate over the Loess Plateau during 2001–2009. Part I: observational evidence," Climatic Change, Springer, vol. 129(3), pages 427-440, April.
    • Handle: RePEc:spr:climat:v:129:y:2015:i:3:p:427-440
    DOI: 10.1007/s10584-014-1069-4
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    Cited by:

    1. Xiaolong Jin & Penghui Jiang & Haoyang Du & Dengshuai Chen & Manchun Li, 2021. "Response of local temperature variation to land cover and land use intensity changes in China over the last 30 years," Climatic Change, Springer, vol. 164(3), pages 1-20, February.
    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. Xue Zhou & Yang Zhou, 2021. "Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China," Land, MDPI, vol. 10(9), pages 1-17, September.
    5. 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.
    6. 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.

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