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Integrating the SD-CLUE-S and InVEST models into assessment of oasis carbon storage in northwestern China

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  • Youjia Liang
  • Lijun Liu
  • Jiejun Huang

Abstract

Spatio-temporal integrated assessment of land-use change impacts on carbon storage services is a new and important research field in land science and landscape ecology. The objective of this paper is to use an integrated SD-CLUE-S and InVEST model to simulate and predict land-use changes impacts during 2000–2018 on carbon storage at pixel and regional scales in the Zhangye oasis, Northwest China. The SD-CLUE-S model was used to simulate land-use change, and three land-use scenarios (current trend, moderate protection, and strict protection) were defined in collaboration with oasis socioeconomic development and ecological environment conservation by local government. The InVEST model was then used to simulate land-use change impacts on carbon storage at different scales in the oasis. The results showed that: (1) the effects of built-up land expansion were especially notable, with a rapid decrease in cropland during 2009–2018; (2) the strict protection scenario saved the largest amount of carbon storage for the oasis compared with the current trend and moderate protection scenarios. The scientific value of this study has been to show that the proposed modeling method can be used to reflect different land-use patterns and their effects on ecosystem services at multiple scales in the oasis. Furthermore, this research can be used to help government managers encourage stakeholders to contribute funds and strategies to maintain oasis landscape patterns and ecological processes by implementing local plans for potential conservation projects.

Suggested Citation

  • Youjia Liang & Lijun Liu & Jiejun Huang, 2017. "Integrating the SD-CLUE-S and InVEST models into assessment of oasis carbon storage in northwestern China," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-15, February.
    • Handle: RePEc:plo:pone00:0172494
    DOI: 10.1371/journal.pone.0172494
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