• Title of article

    Spatial clustering of rangeland grasshoppers (Orthoptera: Acrididae) in the Qinghai Lake region of northwestern China

  • Author/Authors

    Ni، Shaoxiang نويسنده , , Lockwood، Jeffrey A. نويسنده , , Wei، Yuchun نويسنده , , Jiang، Jiangjun نويسنده , , Zha، Yong نويسنده , , Zhang، Hongliang نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    -60
  • From page
    61
  • To page
    0
  • Abstract
    Geostatistical analyses were used to examine the pattern of spatial distribution of rangeland grasshoppers in the basin of Qinghai Lake in northwestern China. Two sampling expeditions were undertaken to collect relevant data. In the first case, data were collected across an area of 1295 km2 to the west of the lake in August 1999. Moran’s I was used to analyze spatial clustering of grasshoppers across this study region. Local G-statistics were used to analyze the pattern of grasshopper population density using two units of distance (100 m and 1 km). The analyses revealed spatial clustering at both 300-1300 m and 13-16 km. In the second expedition, in July 2000, grasshoppers were sampled at a fine scale (100, 30 m×30 m plots) in a smaller area (Tiebujia) embedded within the previous region. The correlograms of Moran’s I showed a strong, positive spatial correlation among the densities of both: all grasshoppers and the dominant species (Myrmeleotettix palpalis Zub.), with clustering at a separation distance of 120 m. Analysis of the local G-statistic value in the regularly sampled area indicated that clustering occurred mainly between 120 and 150 m. These analyses showed that the rangeland grasshoppers in the study area had an obvious spatial clustering which varied with the spatial scale. At a large scale, clustering occurs at 13-16 km and at a local-scale at 120-150 and 300-1300 m.
  • Keywords
    Moran’s I , Variogram , Insect , spatial distribution , G-statistics
  • Journal title
    Agriculture Ecosystems and Environment
  • Serial Year
    2003
  • Journal title
    Agriculture Ecosystems and Environment
  • Record number

    39384