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Scale effect of net primary productivity based on remote sensing in arid region.

YANG Hui-jin1, LIU Li-juan1, MA Jin-long1, WANG Jin2, LI Xiao-yu1*   

  1. (1Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; 2Wulanwusu Agrometeorological Experiment Station, Shihezi 832003, Xinjiang, China).
  • Online:2016-05-10 Published:2016-05-10

Abstract: Remote sensing is one of widely used data source of landscape analysis with different resolutions. Predominant ground object could be different on various scales. Multiscale analysis has become a necessary method in the field of landscape ecology because a single scale could not describe or explain many environmental problems. The data, which were aggregated by average with different resolutions (30, 150, 330, 660, 990, 1650, 1980 and 3300 m) based on the Landsat 8 remote sensing images with original 30 m resolution of 2013, were input to remote sensing model to simulate multiscale NPP. The results showed that, with scaling up, NPP of crop increased, but NPP of forest, grassland and bare land almost remained unchanged. Average stimulated NPP of 30 m resolution was 5.36% higher than that of 990 m resolution. Upscaling induced the change of mean estimated NPP in Mans River Watershed, producing scale effect, due to land cover change. However, the spatial patterns of NPP in Mans River Watershed were similar on various scales and their characteristics remained unchanged with scaling up.

Key words: Loess Plateau dryland, apple orchard, soil moisture, dry soil layer.