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A risk-based model for grassland management using MODIS data: The case of Gannan region, China

Author

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  • Liu, Ying
  • Feng, Qisheng
  • Wang, Chenggang
  • Tang, Zeng

Abstract

The grassland classification management model is considered to be a sustainable approach for grassland resources use. However, it is difficult to accurately calculate the index of classification management of grasslands (ICG) due to high variability of grassland productivity and livestock prices. Inaccurate ICG indices may lead to adoption of unreliable grassland management strategies. To overcome the problem, this article introduces a risk-based ICG model accounting for sheep prices, grassland productivity, and their variability. In this model, grassland forage dry biomass and coverage from 2001 to 2016 were estimated with enhanced vegetation index (EVI) of each pixel in MODIS using the power model and logarithmic model, respectively. A simple linear regression model was employed to estimate sheep prices. Finally, the ICGm was estimated by variability of grassland productivity and sheep prices derived from the models. A test of the performance of the model showed that the area of conservative and moderately productive grassland predicted with the risk-based model fits very well with the observed area. This risk-based ICG model thus provides a reliable tool for classification management of grassland.

Suggested Citation

  • Liu, Ying & Feng, Qisheng & Wang, Chenggang & Tang, Zeng, 2018. "A risk-based model for grassland management using MODIS data: The case of Gannan region, China," Land Use Policy, Elsevier, vol. 72(C), pages 461-469.
    • Handle: RePEc:eee:lauspo:v:72:y:2018:i:c:p:461-469
    DOI: 10.1016/j.landusepol.2018.01.015
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    References listed on IDEAS

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    1. Kennedy, Stephanie M. & Burbach, Mark E. & Sliwinski, Maggi S., 2016. "Sustainable Grassland Management: An Exploratory Study of Progressive Ranchers in Nebraska," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 5(2).
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    3. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 279-279.
    4. Finger, Robert, 2012. "Modeling the sensitivity of agricultural water use to price variability and climate change—An application to Swiss maize production," Agricultural Water Management, Elsevier, vol. 109(C), pages 135-143.
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    Cited by:

    1. Yang, Qing & Liu, Gengyuan & Giannetti, Biagio F. & Agostinho, Feni & M.V.B. Almeida, Cecília & Casazza, Marco, 2020. "Emergy-based ecosystem services valuation and classification management applied to China’s grasslands," Ecosystem Services, Elsevier, vol. 42(C).
    2. Beibei Guo & Xiaobin Jin & Yelin Fang & Yinkang Zhou, 2020. "Evaluation of Sustainable Regional Development Combining Remote Sensing Data and Ecological Constraints: A Case Study of Chaohu Basin, China," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    3. Richard Orozco & María Rosa Mosquera-Losada & Javier Rodriguez & Muluken Elias Adamseged & Philipp Grundmann, 2021. "Supportive Business Environments to Develop Grass Bioeconomy in Europe," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    4. Wang, Xiaoqi & Zhao, Xueyan, 2023. "Farmers' perception and choice preference of grassland ecosystem services: Evidence from the northeastern region of the Qinghai-Tibet Plateau," Land Use Policy, Elsevier, vol. 132(C).

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