img

Wechat

Adv search

Journal of Desert Research ›› 2020, Vol. 40 ›› Issue (2): 177-184.DOI: 10.7522/j.issn.1000-694X.2019.00091

Previous Articles     Next Articles

Desert-ecotone-oasis division: taking the Shiyang River Basin as an example

Mao Zhongchao1,3, Li Sen2,3, Zhang Zhishan1, Hu Yigang1, Li Changsheng1,3,4   

  1. 1. Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. Gansu Province Plant Protection and Quarantine Station, Lanzhou 730000, China
  • Received:2019-08-10 Revised:2019-10-15 Online:2020-03-20 Published:2020-04-26

Abstract: The rivers originating from the mountains in the arid regions of the Northwest China transport abundant water and soil resources to the middle and lower reaches, and oases are cultivated in the desert. The ecotone is located between desert and oasis, forming a desert-ecotone-oasis geographic landscape unit. Division the spatial distribution of the desert, ecotone and oasis provides a spatial reference for accurate cognitive assessment of ecosystem patterns, processes and services in arid regions. In this study, taking the Shiyang River Basin as an example, the training samples were selected, and the spatial ranges of desert, ecotone and oasis in Shiyang River Basin were divided by discriminant analysis using common remote sensing indexes and landscape pattern indexes. The results showed that the discriminant functions constructed by 6 remote sensing indexes and 2 landscape indexes screened by stepwise discriminant analysis, and the discriminant functions constructed by remote sensing indexes or landscape indexes alone, the calculated training samples discrimination accuracy were 92.4%, 84.0% and 70.2%, respectively. The comprehensive discriminant analysis using remote sensing indexes combined with landscape indexes increased the accuracy by 8.4% and 22.2% respectively compared with the remote sensing indexes or landscape indexes alone. According to the comprehensive index discriminant analysis, the area of the desert, ecotone and oasis in the Shiyang River Basin except the main mountain areas are 1.33, 0.49 and 0.58 million hm2, respectively.

Key words: desert-ecotone-oasis, remote sensing, landscape, discriminant analysis

CLC Number: