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cje ›› 2010, Vol. 29 ›› Issue (02): 407-412.

• Articles • Previous Articles    

Design of wetland ecological corridor based on multi-scale remote sensing image segmentation.

KONG Bo1|DENG Wei1|TAO He-ping1;YU Huan2   

  1. 1Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China|2Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China
  • Online:2010-02-10 Published:2010-02-10

Abstract: For the protection of ecoenvironment and biodiversity in Jiansanjiang area of Northeast China, the method of multi-scale remote sensing image segmentation was adopted to design an ecological corridor between two national nature reserves Sanjiang and Honghe. The width of this corridor was defined by calculating the division threshold value of NDVI standardized change intensity index, and the structure of the corridor was designed by using a moving window algorithm and a K-means cluster analysis algorithm. The division threshold value was set at 20%, background noise of non-wetland was at 9.43%, and optimal width of wetland ecological corridor was 1298 m. Among the regions suffered from eight different intensities of human disturbance, clusters c1, c2, c3, and c4 were the regions less affected by human disturbance, mainly distributed in the primitive ecoenvironment of Nongjiang River, Wusuli River, Sanjiang Nature Reserve, and Honghe Nature Reserve. To construct the wetland ecological corridor between the two nature reserves, the c1, c2, c3, and c4 were defined as ‘core’, ‘test’, ‘m
arginal’, and ‘buffer’ zones, respectively. In ‘core’ zone and ‘test’ zone, swamp occupied 75% and 72.2%, with an accuracy as high as 93.7% and 75.8%, respectively; and ‘marginal’ and ‘buffer’ zones played the role of edge guardrail. The width of the ‘buffer’ zone was 945 m. Our study provided a reliable and scientific reference for the construction and restoration of wetland ecological corridor.

Key words: Duck, RAPD, Genetic diversity, Genetic distance, Ecological type